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Workgroups Resources Data North American Integrated PM2.5 Speciated Data Set Title: North American Integrated PM2.5 Speciated Data Set Organization: Center for Air Pollution Impact and Trend Analysis (CAPITA) Description: A long term North American fine particle (<2.5 micrometers) data set containing mass, elemental composition, ions and organics. There are 577 urban and rural monitoring sites in the US (520 sites) and Canada (57 sites) from 1979 through February 1997. The data set was created by integrating data from 14 historical and active fine particle monitoring networks. Except for unit changes, the fine mass concentrations have not been altered from that received from the data suppliers. This data set was created to support spatial and temporal PM fine trend analysis, as well as the investigation of the causal factors for the fine particle air quality. Submitted by: Schichtel Bret RecID: Data.BretSchichtel1 Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback29.html North American Integrated PM2.5 Data Set Title: North American Integrated PM2.5 Data Set Organization: Center for Air Pollution Impact and Trend Analysis (CAPITA) Description: This is a long term North American fine particle mass (<2.5 micrometers) data set created by integrating data from 16 historical and active fine particle monitoring networks. The data set contains data from ~500 urban and rural monitoring sites in the US and Canada from 1979 through February 1997. This data set was created to support spatial and temporal PM fine trend analysis, as well as the investigation of the causal factors for the fine particle air quality. Except for unit changes, the fine mass concentrations have not been altered from that received from the data suppliers. Submitted by: Schichtel Bret RecID: Data.BretSchichtel Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback25.html Preliminary Inventory of Existing and Planned PM2.5 and Related Monitoring Title: Preliminary Inventory of Existing and Planned PM2.5 and Related Monitoring Organization: EPA Description: Maps identifing the locations of monitoring sites for existing and planned PM2.5 and related monitoring networks. This is a subset of a supporting document for the EPA/NARSTO Particulate Matter Workshop, July 22-23, 1998 Submitted by: Eberly Shelly RecID: Data.ShellyEberly Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback24.html The Regional Climate Centers Title: The Regional Climate Centers Description: A nationwide network of six regional centers provides convenient and timely access to accurate and reliable climate information. These centers also monitor and report current climate conditions in the regions they serve. The expertise and data resources of the Regional Climate Centers are available to assist in interpreting present conditions, quantifying climate variability, and assessing the likelihood of extreme weather events that often produce major social, economic and environmental impacts in a region. Submitted by: Pitchford Marc RecID: Data.MarcPitchford Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback17.html URLLink=InputOrganizationURL Title: URLLink=InputOrganizationURL Description: URLLink=InputOrganizationURL Submitted by: Falke Stefan RecID: Data.StefanFalke2 Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback15.html North American Fine Particle Data Set Title: North American Fine Particle Data Set DocURL: /CAPITA/CapitaReports/PMFineAn/NAMPM_IntegratedData/NAMPM_integrated_data.html Description: Long term North American PM data sets representative of urban and rural air quality created by integrating data from current and historical research and routine fine particle monitoring networks. Currently, these are intermediate data sets that are expected to grow in the coming weeks. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/20/98 RecID: Body.BretSchichtel Comment/Feedback URL: /CAPITA/CapitaReports/PMFineAn/NAMPM_IntegratedData/NAMPM_integrated_dataCommentFeedback1.html Tools PM2.5 as a Function of Wind Speed and Direction - Tools, Methods, and Interpretation Title: PM2.5 as a Function of Wind Speed and Direction - Tools, Methods, and Interpretation DocURL: /PMFine/Workgroup/Resources/Tools/PMVsWind/PMVsWindTools.html Description: The dependence of pollution concentrations has been used to provide evidence of local and regional contributions. This document describes a methodology for establishing the PM2.5 - wind speed and direction dependence, and guidance for interpreting these results. Last, the methodology is implemented into a Voyager Script. The Voyager workbook, Script, and data sets are provided to for immediate user exploration. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 12/9/98 RecID: Body.BretSchichtel6 Comment/Feedback URL: /PMFine/Workgroup/Resources/Tools/PMVsWind/PMVsWindToolsCommentFeedback1.html Voyager Scripts and Workbook to Create Temporal Periodicities: Diurnal, Weekly, and Seasonal Cycles Title: Voyager Scripts and Workbook to Create Temporal Periodicities: Diurnal, Weekly, and Seasonal Cycles DocURL: /PMFine/Workgroup/Resources/Tools/VoyScripts/TemporalPeriodicity/Temporal_Period_VoyScript.html Description: This document provides methods, and Voyager scripts and workbook for the creation of temporal periodicities using the Voyager data browsing and manipulation software. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 12/8/98 RecID: Body.BretSchichtel5 Comment/Feedback URL: /PMFine/Workgroup/Resources/Tools/VoyScripts/TemporalPeriodicity/Temporal_Period_VoyScriptCommentFeedback1.html The Local Analysis and Prediction System (LAPS) Title: The Local Analysis and Prediction System (LAPS) DocURL: http://laps.fsl.noaa.gov/ Description: The Local Analysis and Prediction System (LAPS) integrates data from virtually every meteorological observation system into a very high-resolution gridded framework centered on a forecast office's domain of responsibility. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/30/98 RecID: Body.RichPoirot1 Comment/Feedback URL: /PMFine/RemoteCFPages/laps.fsl.noaaCommentFeedback1.html Meteorological Tools: Frequently Asked Questions Title: Meteorological Tools: Frequently Asked Questions DocURL: http://www.scd.ucar.edu/dss/faq/ Description: Ilana Stern of UCAR has produced a very useful set of answers to Frequently-Asked Questions (FAQ) on Meteorology (how to find/get data, etc.) Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/30/98 RecID: Body.RichPoirot Comment/Feedback URL: /PMFine/RemoteCFPages/www.scd.ucarCommentFeedback1.html Voyager Decompiler Title: Voyager Decompiler DocURL: /capita/utilities/VoyDecompiler/Description.html Description: Data transformer from Voyager binary format to ASCII flat files Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel4 Comment/Feedback URL: /capita/utilities/VoyDecompiler/DescriptionCommentFeedback2.html Real-time Environmental Applications and Display System (READY) Title: Real-time Environmental Applications and Display System (READY) DocURL: http://www.arl.noaa.gov/ready.html Description: READY is an online source of past, present, and future meteorological data, as well as an interactive trajectory and dispersion modeling server. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel3 Comment/Feedback URL: /PMFine/RemoteCFPages/readyCommentFeedback1.html Gif Animation Utility Title: Gif Animation Utility DocURL: /tools/Animator/Ani2Info.html Description: Utility for animating a series of gif images located anywhere on the web Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel2 Comment/Feedback URL: /tools/Animator/Ani2InfoCommentFeedback3.html Movie Title: Movie DocURL: /capita/utilities/Movie/Description.html Description: Animation utility for creating and viewing .AVI and .MOV files Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel1 Comment/Feedback URL: /capita/utilities/Movie/DescriptionCommentFeedback2.html Voyager Title: Voyager DocURL: /capita/utilities/Voyager/Description.html Description: Voyager is a multidimensional data browser needed for browsing Voyager data files (.VOY). Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel Comment/Feedback URL: /capita/utilities/Voyager/DescriptionCommentFeedback2.html Literature Reports Draft Workbook Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 Title: Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 DocURL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_Outline.html Description: This is a draft outline of the fine PM data analysis workbook prepared by Miki Wayland and Shelly Eberly Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 5/19/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_OutlineCommentFeedback1.html Introduction Resources Compliance Analysis Exploratory Analysis Air Trajectory Pollution Climatology for the Lake Champlain Basin Title: Air Trajectory Pollution Climatology for the Lake Champlain Basin DocURL: /neardat/Reports/TechnicalReports/lakchamp/lchmpair.htm Description: This draft paper from a recent Lake Champlain conference includes some preliminary results from an ongoing Trajectory Climatology study. The last Figure (10) displays upwind areas associated with "high" concentrations of PM-2.5 trace elements (Se, Ni, As and Mn) at several remote sites in upstate NY and VT. The relatively strong (and directionally different) upwind regional orientation for these (1989-96) trace element data suggests they will be useful in future analyses of source attribution, regional transport, or as "tracers of opportunity" for model evaluation. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/1/98 RecID: Body.RichPoirot Comment/Feedback URL: /neardat/Reports/TechnicalReports/lakchamp/lchmpairCommentFeedback2.html Patterns of dust transport to the Grand Canyon Title: Patterns of dust transport to the Grand Canyon DocURL: http://CAPITA/CapitaReports/DustAssc.html Description: Dust particles in the 2.5µm to 15µm diameter range contribute to regional haze that sometimes impairs visibility at the Grand Canyon and other National Parks in the southwestern U.S. The proportion of airborne dust that is attributable to land modification is unknown, but can be expected to increase as a consequence of the region's rapid population growth. This note examines the upwind histories of air masses bringing high coarse particle concentrations to the Grand Canyon over a five year monitoring period. (GRL,vol 23, no. 22, 3187-3190, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos3 Comment/Feedback URL: /PMFine/RemoteCFPages/DustAsscCommentFeedback1.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos2 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback2.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos1 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback1.html A tracer calibration of back trajectory analysis Title: A tracer calibration of back trajectory analysis DocURL: http://CAPITA/CapitaReports/restime.html Description: The potential of routine back trajectory analyses to locate sources of contaminants in air at Grand Canyon is investigated with data on methylchloroform (CH3CCl3) concentrations collected during the Subregional Cooperative Electric Utility, Department of Defense, National Park Service, and Environmental Protection Agency Study(SCENES). The distribution of back trajectory segment endpoints over a latitude-longitude grid is examined as a function of measured concentrations at the fixed monitoring site. Grid cells in which segment endpoints are preferentially associated with high concentrations are then identified as candidate emissions sources. The method correctly identifies southern California as a source of CH3CCl3. An objective rationale is developed for screening out chance associations, attributable to statistical fluctuations, and the results are evaluated for real and hypothetical tracers with known, simple distributions. (JGR,vol 101, no.D14, 19329-19335, 1996 Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos Comment/Feedback URL: /PMFine/RemoteCFPages/restimeCommentFeedback1.html The Relationship Between Aerosol Light Scattering and Fine Mass Title: The Relationship Between Aerosol Light Scattering and Fine Mass DocURL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFM.HTML Description: The purpose of this report is to present a comparative study of the aerosol light scattering - PM2.5 relationship using existing monitoring data. Light scattering - PM2.5 comparisons were conducted using standard correlation statistics, as well as temporal pattern analysis on yearly, monthly, and daily scales. This report also contains a brief discussion of the criteria by which the alternative monitoring techniques (PM2.5 mass concentration and fine particle light scattering) are to be evaluated as a suitable standard. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke5 Comment/Feedback URL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFMCommentFeedback1.html Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data Title: Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data DocURL: /CAPITA/Awma98/HTTP/98_A918.htm Description: Fine mass has been monitored at a limited number of locations (~50 monitoring sites). Incorporation of related data into the spatial interpolation of fine mass aids the interpolation. This paper describes the methodology used in deriving fine particle maps for the U.S. by using visibility (280 sites) and PM10 data (~1000 sites) as fine mass surrogates. The approach utilizes existing fine mass concentration data as the measured "anchor points" for the derived maps. The higher resolution spatial coverage of the visibility and PM10 networks combined with their relationships to fine mass results in more detailed fine mass maps. Quarterly fine mass maps are derived for 1988-92. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke4 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A918CommentFeedback1.html Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations Title: Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations DocURL: /CAPITA/DataSets/PM10ElevCor/P10ELV.HTML Description: This paper incorporates topographical data into the spatial interpolation of quarterly and annually averaged particulate matter concentrations. A relation for the decrease of pollutant concentrations with increasing elevation is applied and the elevation correction is performed using a monitoring site's elevation relative to its surrounding terrain. Topographical data and meteorological scale height data are used in conjunction with PM10 concentration data to interpolate PM concentrations. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke3 Comment/Feedback URL: /CAPITA/DataSets/PM10ElevCor/P10ELVCommentFeedback1.html Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions Title: Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions DocURL: /CAPITA/Awma98/HTTP/98_A920.htm Description: The 1997 revisions to the particulate matter NAAQS included changes in reporting observed concentrations from standard temperature and pressure to local conditions. This paper analyzes the impact of this revision to the spatial and temporal pattern of PM10 concentrations on a seasonal time scale. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke2 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A920CommentFeedback1.html Estimation of Daily Fine Particle Concentrations in Philadelphia Title: Estimation of Daily Fine Particle Concentrations in Philadelphia DocURL: /CAPITA/CapitaReports/PhilPM25/PhiPMBX.HTML Description: The purpose of this analysis is to estimate the daily fine particle concentration in Philadelphia for the period 1979-1983. The temporal interpolation method requires the estimation of fine mass for two days sandwiched between the 3-day sampling intervals. The interpolation utilizes airport visibility observations and the regression analysis that relates the weather corrected extinction coefficient to fine mass. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke1 Comment/Feedback URL: /CAPITA/CapitaReports/PhilPM25/PhiPMBXCommentFeedback1.html Declustering in the Spatial Interpolation Title: Declustering in the Spatial Interpolation DocURL: /CAPITA/Awma98/HTTP/98_A927.htm Description: Air quality monitoring stations are generally located in or near urban areas while station coverage in rural regions is sparse. Clusters of urban sites cause traditional inverse distance weighting interpolation of pollutant concentrations to be biased toward urban concentrations. A new spatial declustering method has been developed that incorporates distance and station density to alleviate much of this bias. Sites located within a cluster are assigned smaller radii of influence and are weighted less than a remote site whose area of representativeness is large. The uncertainties in the estimates and interpolation performance are analyzed using the statistical method of cross validation. The newly developed spatial interpolation method has been tested in the mapping of tropospheric ozone concentration data. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A927CommentFeedback1.html Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model Title: Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model DocURL: /CAPITA/CapitaReports/MonteCarlo/MonteCarlo.html Description: A paper describing the CAPITA regional air quality model, based on the Monte Carlo approach. The paper describes the methodologies employed for modeling atmospheric transport and kinetic processes. The model uses are illustrated and tested for the calculation of trajectories, simulation of sulfate ambient concentrations and wet deposition rates, and the investigation and quantification of the source receptor relationship. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 5/20/98 RecID: Body.BretSchichtel Comment/Feedback URL: /CAPITA/CapitaReports/MonteCarlo/MonteCarloCommentFeedback1.html Related Activities Reporting Requirements Periodicals Draft Workbook Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 Title: Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 DocURL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_Outline.html Description: This is a draft outline of the fine PM data analysis workbook prepared by Miki Wayland and Shelly Eberly Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 5/19/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_OutlineCommentFeedback1.html Introduction Resources Compliance Analysis Exploratory Analysis Air Trajectory Pollution Climatology for the Lake Champlain Basin Title: Air Trajectory Pollution Climatology for the Lake Champlain Basin DocURL: /neardat/Reports/TechnicalReports/lakchamp/lchmpair.htm Description: This draft paper from a recent Lake Champlain conference includes some preliminary results from an ongoing Trajectory Climatology study. The last Figure (10) displays upwind areas associated with "high" concentrations of PM-2.5 trace elements (Se, Ni, As and Mn) at several remote sites in upstate NY and VT. The relatively strong (and directionally different) upwind regional orientation for these (1989-96) trace element data suggests they will be useful in future analyses of source attribution, regional transport, or as "tracers of opportunity" for model evaluation. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/1/98 RecID: Body.RichPoirot Comment/Feedback URL: /neardat/Reports/TechnicalReports/lakchamp/lchmpairCommentFeedback2.html Patterns of dust transport to the Grand Canyon Title: Patterns of dust transport to the Grand Canyon DocURL: http://CAPITA/CapitaReports/DustAssc.html Description: Dust particles in the 2.5µm to 15µm diameter range contribute to regional haze that sometimes impairs visibility at the Grand Canyon and other National Parks in the southwestern U.S. The proportion of airborne dust that is attributable to land modification is unknown, but can be expected to increase as a consequence of the region's rapid population growth. This note examines the upwind histories of air masses bringing high coarse particle concentrations to the Grand Canyon over a five year monitoring period. (GRL,vol 23, no. 22, 3187-3190, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos3 Comment/Feedback URL: /PMFine/RemoteCFPages/DustAsscCommentFeedback1.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos2 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback2.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos1 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback1.html A tracer calibration of back trajectory analysis Title: A tracer calibration of back trajectory analysis DocURL: http://CAPITA/CapitaReports/restime.html Description: The potential of routine back trajectory analyses to locate sources of contaminants in air at Grand Canyon is investigated with data on methylchloroform (CH3CCl3) concentrations collected during the Subregional Cooperative Electric Utility, Department of Defense, National Park Service, and Environmental Protection Agency Study(SCENES). The distribution of back trajectory segment endpoints over a latitude-longitude grid is examined as a function of measured concentrations at the fixed monitoring site. Grid cells in which segment endpoints are preferentially associated with high concentrations are then identified as candidate emissions sources. The method correctly identifies southern California as a source of CH3CCl3. An objective rationale is developed for screening out chance associations, attributable to statistical fluctuations, and the results are evaluated for real and hypothetical tracers with known, simple distributions. (JGR,vol 101, no.D14, 19329-19335, 1996 Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos Comment/Feedback URL: /PMFine/RemoteCFPages/restimeCommentFeedback1.html The Relationship Between Aerosol Light Scattering and Fine Mass Title: The Relationship Between Aerosol Light Scattering and Fine Mass DocURL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFM.HTML Description: The purpose of this report is to present a comparative study of the aerosol light scattering - PM2.5 relationship using existing monitoring data. Light scattering - PM2.5 comparisons were conducted using standard correlation statistics, as well as temporal pattern analysis on yearly, monthly, and daily scales. This report also contains a brief discussion of the criteria by which the alternative monitoring techniques (PM2.5 mass concentration and fine particle light scattering) are to be evaluated as a suitable standard. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke5 Comment/Feedback URL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFMCommentFeedback1.html Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data Title: Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data DocURL: /CAPITA/Awma98/HTTP/98_A918.htm Description: Fine mass has been monitored at a limited number of locations (~50 monitoring sites). Incorporation of related data into the spatial interpolation of fine mass aids the interpolation. This paper describes the methodology used in deriving fine particle maps for the U.S. by using visibility (280 sites) and PM10 data (~1000 sites) as fine mass surrogates. The approach utilizes existing fine mass concentration data as the measured "anchor points" for the derived maps. The higher resolution spatial coverage of the visibility and PM10 networks combined with their relationships to fine mass results in more detailed fine mass maps. Quarterly fine mass maps are derived for 1988-92. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke4 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A918CommentFeedback1.html Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations Title: Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations DocURL: /CAPITA/DataSets/PM10ElevCor/P10ELV.HTML Description: This paper incorporates topographical data into the spatial interpolation of quarterly and annually averaged particulate matter concentrations. A relation for the decrease of pollutant concentrations with increasing elevation is applied and the elevation correction is performed using a monitoring site's elevation relative to its surrounding terrain. Topographical data and meteorological scale height data are used in conjunction with PM10 concentration data to interpolate PM concentrations. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke3 Comment/Feedback URL: /CAPITA/DataSets/PM10ElevCor/P10ELVCommentFeedback1.html Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions Title: Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions DocURL: /CAPITA/Awma98/HTTP/98_A920.htm Description: The 1997 revisions to the particulate matter NAAQS included changes in reporting observed concentrations from standard temperature and pressure to local conditions. This paper analyzes the impact of this revision to the spatial and temporal pattern of PM10 concentrations on a seasonal time scale. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke2 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A920CommentFeedback1.html Estimation of Daily Fine Particle Concentrations in Philadelphia Title: Estimation of Daily Fine Particle Concentrations in Philadelphia DocURL: /CAPITA/CapitaReports/PhilPM25/PhiPMBX.HTML Description: The purpose of this analysis is to estimate the daily fine particle concentration in Philadelphia for the period 1979-1983. The temporal interpolation method requires the estimation of fine mass for two days sandwiched between the 3-day sampling intervals. The interpolation utilizes airport visibility observations and the regression analysis that relates the weather corrected extinction coefficient to fine mass. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke1 Comment/Feedback URL: /CAPITA/CapitaReports/PhilPM25/PhiPMBXCommentFeedback1.html Declustering in the Spatial Interpolation Title: Declustering in the Spatial Interpolation DocURL: /CAPITA/Awma98/HTTP/98_A927.htm Description: Air quality monitoring stations are generally located in or near urban areas while station coverage in rural regions is sparse. Clusters of urban sites cause traditional inverse distance weighting interpolation of pollutant concentrations to be biased toward urban concentrations. A new spatial declustering method has been developed that incorporates distance and station density to alleviate much of this bias. Sites located within a cluster are assigned smaller radii of influence and are weighted less than a remote site whose area of representativeness is large. The uncertainties in the estimates and interpolation performance are analyzed using the statistical method of cross validation. The newly developed spatial interpolation method has been tested in the mapping of tropospheric ozone concentration data. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A927CommentFeedback1.html Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model Title: Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model DocURL: /CAPITA/CapitaReports/MonteCarlo/MonteCarlo.html Description: A paper describing the CAPITA regional air quality model, based on the Monte Carlo approach. The paper describes the methodologies employed for modeling atmospheric transport and kinetic processes. The model uses are illustrated and tested for the calculation of trajectories, simulation of sulfate ambient concentrations and wet deposition rates, and the investigation and quantification of the source receptor relationship. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 5/20/98 RecID: Body.BretSchichtel Comment/Feedback URL: /CAPITA/CapitaReports/MonteCarlo/MonteCarloCommentFeedback1.html Related Activities Reporting Requirements Book Articles Draft Workbook Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 Title: Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 DocURL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_Outline.html Description: This is a draft outline of the fine PM data analysis workbook prepared by Miki Wayland and Shelly Eberly Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 5/19/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_OutlineCommentFeedback1.html Introduction Resources Compliance Analysis Exploratory Analysis Air Trajectory Pollution Climatology for the Lake Champlain Basin Title: Air Trajectory Pollution Climatology for the Lake Champlain Basin DocURL: /neardat/Reports/TechnicalReports/lakchamp/lchmpair.htm Description: This draft paper from a recent Lake Champlain conference includes some preliminary results from an ongoing Trajectory Climatology study. The last Figure (10) displays upwind areas associated with "high" concentrations of PM-2.5 trace elements (Se, Ni, As and Mn) at several remote sites in upstate NY and VT. The relatively strong (and directionally different) upwind regional orientation for these (1989-96) trace element data suggests they will be useful in future analyses of source attribution, regional transport, or as "tracers of opportunity" for model evaluation. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/1/98 RecID: Body.RichPoirot Comment/Feedback URL: /neardat/Reports/TechnicalReports/lakchamp/lchmpairCommentFeedback2.html Patterns of dust transport to the Grand Canyon Title: Patterns of dust transport to the Grand Canyon DocURL: http://CAPITA/CapitaReports/DustAssc.html Description: Dust particles in the 2.5µm to 15µm diameter range contribute to regional haze that sometimes impairs visibility at the Grand Canyon and other National Parks in the southwestern U.S. The proportion of airborne dust that is attributable to land modification is unknown, but can be expected to increase as a consequence of the region's rapid population growth. This note examines the upwind histories of air masses bringing high coarse particle concentrations to the Grand Canyon over a five year monitoring period. (GRL,vol 23, no. 22, 3187-3190, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos3 Comment/Feedback URL: /PMFine/RemoteCFPages/DustAsscCommentFeedback1.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos2 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback2.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos1 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback1.html A tracer calibration of back trajectory analysis Title: A tracer calibration of back trajectory analysis DocURL: http://CAPITA/CapitaReports/restime.html Description: The potential of routine back trajectory analyses to locate sources of contaminants in air at Grand Canyon is investigated with data on methylchloroform (CH3CCl3) concentrations collected during the Subregional Cooperative Electric Utility, Department of Defense, National Park Service, and Environmental Protection Agency Study(SCENES). The distribution of back trajectory segment endpoints over a latitude-longitude grid is examined as a function of measured concentrations at the fixed monitoring site. Grid cells in which segment endpoints are preferentially associated with high concentrations are then identified as candidate emissions sources. The method correctly identifies southern California as a source of CH3CCl3. An objective rationale is developed for screening out chance associations, attributable to statistical fluctuations, and the results are evaluated for real and hypothetical tracers with known, simple distributions. (JGR,vol 101, no.D14, 19329-19335, 1996 Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos Comment/Feedback URL: /PMFine/RemoteCFPages/restimeCommentFeedback1.html The Relationship Between Aerosol Light Scattering and Fine Mass Title: The Relationship Between Aerosol Light Scattering and Fine Mass DocURL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFM.HTML Description: The purpose of this report is to present a comparative study of the aerosol light scattering - PM2.5 relationship using existing monitoring data. Light scattering - PM2.5 comparisons were conducted using standard correlation statistics, as well as temporal pattern analysis on yearly, monthly, and daily scales. This report also contains a brief discussion of the criteria by which the alternative monitoring techniques (PM2.5 mass concentration and fine particle light scattering) are to be evaluated as a suitable standard. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke5 Comment/Feedback URL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFMCommentFeedback1.html Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data Title: Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data DocURL: /CAPITA/Awma98/HTTP/98_A918.htm Description: Fine mass has been monitored at a limited number of locations (~50 monitoring sites). Incorporation of related data into the spatial interpolation of fine mass aids the interpolation. This paper describes the methodology used in deriving fine particle maps for the U.S. by using visibility (280 sites) and PM10 data (~1000 sites) as fine mass surrogates. The approach utilizes existing fine mass concentration data as the measured "anchor points" for the derived maps. The higher resolution spatial coverage of the visibility and PM10 networks combined with their relationships to fine mass results in more detailed fine mass maps. Quarterly fine mass maps are derived for 1988-92. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke4 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A918CommentFeedback1.html Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations Title: Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations DocURL: /CAPITA/DataSets/PM10ElevCor/P10ELV.HTML Description: This paper incorporates topographical data into the spatial interpolation of quarterly and annually averaged particulate matter concentrations. A relation for the decrease of pollutant concentrations with increasing elevation is applied and the elevation correction is performed using a monitoring site's elevation relative to its surrounding terrain. Topographical data and meteorological scale height data are used in conjunction with PM10 concentration data to interpolate PM concentrations. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke3 Comment/Feedback URL: /CAPITA/DataSets/PM10ElevCor/P10ELVCommentFeedback1.html Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions Title: Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions DocURL: /CAPITA/Awma98/HTTP/98_A920.htm Description: The 1997 revisions to the particulate matter NAAQS included changes in reporting observed concentrations from standard temperature and pressure to local conditions. This paper analyzes the impact of this revision to the spatial and temporal pattern of PM10 concentrations on a seasonal time scale. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke2 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A920CommentFeedback1.html Estimation of Daily Fine Particle Concentrations in Philadelphia Title: Estimation of Daily Fine Particle Concentrations in Philadelphia DocURL: /CAPITA/CapitaReports/PhilPM25/PhiPMBX.HTML Description: The purpose of this analysis is to estimate the daily fine particle concentration in Philadelphia for the period 1979-1983. The temporal interpolation method requires the estimation of fine mass for two days sandwiched between the 3-day sampling intervals. The interpolation utilizes airport visibility observations and the regression analysis that relates the weather corrected extinction coefficient to fine mass. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke1 Comment/Feedback URL: /CAPITA/CapitaReports/PhilPM25/PhiPMBXCommentFeedback1.html Declustering in the Spatial Interpolation Title: Declustering in the Spatial Interpolation DocURL: /CAPITA/Awma98/HTTP/98_A927.htm Description: Air quality monitoring stations are generally located in or near urban areas while station coverage in rural regions is sparse. Clusters of urban sites cause traditional inverse distance weighting interpolation of pollutant concentrations to be biased toward urban concentrations. A new spatial declustering method has been developed that incorporates distance and station density to alleviate much of this bias. Sites located within a cluster are assigned smaller radii of influence and are weighted less than a remote site whose area of representativeness is large. The uncertainties in the estimates and interpolation performance are analyzed using the statistical method of cross validation. The newly developed spatial interpolation method has been tested in the mapping of tropospheric ozone concentration data. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A927CommentFeedback1.html Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model Title: Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model DocURL: /CAPITA/CapitaReports/MonteCarlo/MonteCarlo.html Description: A paper describing the CAPITA regional air quality model, based on the Monte Carlo approach. The paper describes the methodologies employed for modeling atmospheric transport and kinetic processes. The model uses are illustrated and tested for the calculation of trajectories, simulation of sulfate ambient concentrations and wet deposition rates, and the investigation and quantification of the source receptor relationship. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 5/20/98 RecID: Body.BretSchichtel Comment/Feedback URL: /CAPITA/CapitaReports/MonteCarlo/MonteCarloCommentFeedback1.html Related Activities Reporting Requirements Books Draft Workbook Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 Title: Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 DocURL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_Outline.html Description: This is a draft outline of the fine PM data analysis workbook prepared by Miki Wayland and Shelly Eberly Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 5/19/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_OutlineCommentFeedback1.html Introduction Resources Compliance Analysis Exploratory Analysis Air Trajectory Pollution Climatology for the Lake Champlain Basin Title: Air Trajectory Pollution Climatology for the Lake Champlain Basin DocURL: /neardat/Reports/TechnicalReports/lakchamp/lchmpair.htm Description: This draft paper from a recent Lake Champlain conference includes some preliminary results from an ongoing Trajectory Climatology study. The last Figure (10) displays upwind areas associated with "high" concentrations of PM-2.5 trace elements (Se, Ni, As and Mn) at several remote sites in upstate NY and VT. The relatively strong (and directionally different) upwind regional orientation for these (1989-96) trace element data suggests they will be useful in future analyses of source attribution, regional transport, or as "tracers of opportunity" for model evaluation. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/1/98 RecID: Body.RichPoirot Comment/Feedback URL: /neardat/Reports/TechnicalReports/lakchamp/lchmpairCommentFeedback2.html Patterns of dust transport to the Grand Canyon Title: Patterns of dust transport to the Grand Canyon DocURL: http://CAPITA/CapitaReports/DustAssc.html Description: Dust particles in the 2.5µm to 15µm diameter range contribute to regional haze that sometimes impairs visibility at the Grand Canyon and other National Parks in the southwestern U.S. The proportion of airborne dust that is attributable to land modification is unknown, but can be expected to increase as a consequence of the region's rapid population growth. This note examines the upwind histories of air masses bringing high coarse particle concentrations to the Grand Canyon over a five year monitoring period. (GRL,vol 23, no. 22, 3187-3190, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos3 Comment/Feedback URL: /PMFine/RemoteCFPages/DustAsscCommentFeedback1.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos2 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback2.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos1 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback1.html A tracer calibration of back trajectory analysis Title: A tracer calibration of back trajectory analysis DocURL: http://CAPITA/CapitaReports/restime.html Description: The potential of routine back trajectory analyses to locate sources of contaminants in air at Grand Canyon is investigated with data on methylchloroform (CH3CCl3) concentrations collected during the Subregional Cooperative Electric Utility, Department of Defense, National Park Service, and Environmental Protection Agency Study(SCENES). The distribution of back trajectory segment endpoints over a latitude-longitude grid is examined as a function of measured concentrations at the fixed monitoring site. Grid cells in which segment endpoints are preferentially associated with high concentrations are then identified as candidate emissions sources. The method correctly identifies southern California as a source of CH3CCl3. An objective rationale is developed for screening out chance associations, attributable to statistical fluctuations, and the results are evaluated for real and hypothetical tracers with known, simple distributions. (JGR,vol 101, no.D14, 19329-19335, 1996 Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos Comment/Feedback URL: /PMFine/RemoteCFPages/restimeCommentFeedback1.html The Relationship Between Aerosol Light Scattering and Fine Mass Title: The Relationship Between Aerosol Light Scattering and Fine Mass DocURL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFM.HTML Description: The purpose of this report is to present a comparative study of the aerosol light scattering - PM2.5 relationship using existing monitoring data. Light scattering - PM2.5 comparisons were conducted using standard correlation statistics, as well as temporal pattern analysis on yearly, monthly, and daily scales. This report also contains a brief discussion of the criteria by which the alternative monitoring techniques (PM2.5 mass concentration and fine particle light scattering) are to be evaluated as a suitable standard. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke5 Comment/Feedback URL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFMCommentFeedback1.html Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data Title: Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data DocURL: /CAPITA/Awma98/HTTP/98_A918.htm Description: Fine mass has been monitored at a limited number of locations (~50 monitoring sites). Incorporation of related data into the spatial interpolation of fine mass aids the interpolation. This paper describes the methodology used in deriving fine particle maps for the U.S. by using visibility (280 sites) and PM10 data (~1000 sites) as fine mass surrogates. The approach utilizes existing fine mass concentration data as the measured "anchor points" for the derived maps. The higher resolution spatial coverage of the visibility and PM10 networks combined with their relationships to fine mass results in more detailed fine mass maps. Quarterly fine mass maps are derived for 1988-92. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke4 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A918CommentFeedback1.html Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations Title: Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations DocURL: /CAPITA/DataSets/PM10ElevCor/P10ELV.HTML Description: This paper incorporates topographical data into the spatial interpolation of quarterly and annually averaged particulate matter concentrations. A relation for the decrease of pollutant concentrations with increasing elevation is applied and the elevation correction is performed using a monitoring site's elevation relative to its surrounding terrain. Topographical data and meteorological scale height data are used in conjunction with PM10 concentration data to interpolate PM concentrations. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke3 Comment/Feedback URL: /CAPITA/DataSets/PM10ElevCor/P10ELVCommentFeedback1.html Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions Title: Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions DocURL: /CAPITA/Awma98/HTTP/98_A920.htm Description: The 1997 revisions to the particulate matter NAAQS included changes in reporting observed concentrations from standard temperature and pressure to local conditions. This paper analyzes the impact of this revision to the spatial and temporal pattern of PM10 concentrations on a seasonal time scale. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke2 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A920CommentFeedback1.html Estimation of Daily Fine Particle Concentrations in Philadelphia Title: Estimation of Daily Fine Particle Concentrations in Philadelphia DocURL: /CAPITA/CapitaReports/PhilPM25/PhiPMBX.HTML Description: The purpose of this analysis is to estimate the daily fine particle concentration in Philadelphia for the period 1979-1983. The temporal interpolation method requires the estimation of fine mass for two days sandwiched between the 3-day sampling intervals. The interpolation utilizes airport visibility observations and the regression analysis that relates the weather corrected extinction coefficient to fine mass. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke1 Comment/Feedback URL: /CAPITA/CapitaReports/PhilPM25/PhiPMBXCommentFeedback1.html Declustering in the Spatial Interpolation Title: Declustering in the Spatial Interpolation DocURL: /CAPITA/Awma98/HTTP/98_A927.htm Description: Air quality monitoring stations are generally located in or near urban areas while station coverage in rural regions is sparse. Clusters of urban sites cause traditional inverse distance weighting interpolation of pollutant concentrations to be biased toward urban concentrations. A new spatial declustering method has been developed that incorporates distance and station density to alleviate much of this bias. Sites located within a cluster are assigned smaller radii of influence and are weighted less than a remote site whose area of representativeness is large. The uncertainties in the estimates and interpolation performance are analyzed using the statistical method of cross validation. The newly developed spatial interpolation method has been tested in the mapping of tropospheric ozone concentration data. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A927CommentFeedback1.html Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model Title: Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model DocURL: /CAPITA/CapitaReports/MonteCarlo/MonteCarlo.html Description: A paper describing the CAPITA regional air quality model, based on the Monte Carlo approach. The paper describes the methodologies employed for modeling atmospheric transport and kinetic processes. The model uses are illustrated and tested for the calculation of trajectories, simulation of sulfate ambient concentrations and wet deposition rates, and the investigation and quantification of the source receptor relationship. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 5/20/98 RecID: Body.BretSchichtel Comment/Feedback URL: /CAPITA/CapitaReports/MonteCarlo/MonteCarloCommentFeedback1.html Related Activities Reporting Requirements Non-Standard Draft Workbook Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 Title: Fine Particulate (PM2.5) Data Analysis Workbook, DRAFT 4/28/98 DocURL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_Outline.html Description: This is a draft outline of the fine PM data analysis workbook prepared by Miki Wayland and Shelly Eberly Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 5/19/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/Reports/PMAnalWKB_Outline/PManalWKB_OutlineCommentFeedback1.html Introduction Resources Compliance Analysis Exploratory Analysis Air Trajectory Pollution Climatology for the Lake Champlain Basin Title: Air Trajectory Pollution Climatology for the Lake Champlain Basin DocURL: /neardat/Reports/TechnicalReports/lakchamp/lchmpair.htm Description: This draft paper from a recent Lake Champlain conference includes some preliminary results from an ongoing Trajectory Climatology study. The last Figure (10) displays upwind areas associated with "high" concentrations of PM-2.5 trace elements (Se, Ni, As and Mn) at several remote sites in upstate NY and VT. The relatively strong (and directionally different) upwind regional orientation for these (1989-96) trace element data suggests they will be useful in future analyses of source attribution, regional transport, or as "tracers of opportunity" for model evaluation. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/1/98 RecID: Body.RichPoirot Comment/Feedback URL: /neardat/Reports/TechnicalReports/lakchamp/lchmpairCommentFeedback2.html Patterns of dust transport to the Grand Canyon Title: Patterns of dust transport to the Grand Canyon DocURL: http://CAPITA/CapitaReports/DustAssc.html Description: Dust particles in the 2.5µm to 15µm diameter range contribute to regional haze that sometimes impairs visibility at the Grand Canyon and other National Parks in the southwestern U.S. The proportion of airborne dust that is attributable to land modification is unknown, but can be expected to increase as a consequence of the region's rapid population growth. This note examines the upwind histories of air masses bringing high coarse particle concentrations to the Grand Canyon over a five year monitoring period. (GRL,vol 23, no. 22, 3187-3190, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos3 Comment/Feedback URL: /PMFine/RemoteCFPages/DustAsscCommentFeedback1.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos2 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback2.html Spatial resolution of a transport inversion technique Title: Spatial resolution of a transport inversion technique DocURL: http://CAPITA/CapitaReports/SpatRes.html Description: A spatial calibration for conditional frequency analysis, the inversion technique applied to routine back trajectories to study the association between geographical regions and conditions at a receptor, is discussed for trajectories arriving at Hopi Point, Arizona. (JGR, vol 101, D14, 19337-19342, 1996, Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos1 Comment/Feedback URL: /PMFine/RemoteCFPages/SpatResCommentFeedback1.html A tracer calibration of back trajectory analysis Title: A tracer calibration of back trajectory analysis DocURL: http://CAPITA/CapitaReports/restime.html Description: The potential of routine back trajectory analyses to locate sources of contaminants in air at Grand Canyon is investigated with data on methylchloroform (CH3CCl3) concentrations collected during the Subregional Cooperative Electric Utility, Department of Defense, National Park Service, and Environmental Protection Agency Study(SCENES). The distribution of back trajectory segment endpoints over a latitude-longitude grid is examined as a function of measured concentrations at the fixed monitoring site. Grid cells in which segment endpoints are preferentially associated with high concentrations are then identified as candidate emissions sources. The method correctly identifies southern California as a source of CH3CCl3. An objective rationale is developed for screening out chance associations, attributable to statistical fluctuations, and the results are evaluated for real and hypothetical tracers with known, simple distributions. (JGR,vol 101, no.D14, 19329-19335, 1996 Copyright 1996 by the American Geophysical Union) Submitted by: Vasconcelos Luis Sumbitter URL: /PMFine/People/people.html#LuisVasconcelos Date: 6/3/98 RecID: Body.LuisVasconcelos Comment/Feedback URL: /PMFine/RemoteCFPages/restimeCommentFeedback1.html The Relationship Between Aerosol Light Scattering and Fine Mass Title: The Relationship Between Aerosol Light Scattering and Fine Mass DocURL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFM.HTML Description: The purpose of this report is to present a comparative study of the aerosol light scattering - PM2.5 relationship using existing monitoring data. Light scattering - PM2.5 comparisons were conducted using standard correlation statistics, as well as temporal pattern analysis on yearly, monthly, and daily scales. This report also contains a brief discussion of the criteria by which the alternative monitoring techniques (PM2.5 mass concentration and fine particle light scattering) are to be evaluated as a suitable standard. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke5 Comment/Feedback URL: /CAPITA/CapitaReports/BScatFMRelation/BSCATFMCommentFeedback1.html Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data Title: Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data DocURL: /CAPITA/Awma98/HTTP/98_A918.htm Description: Fine mass has been monitored at a limited number of locations (~50 monitoring sites). Incorporation of related data into the spatial interpolation of fine mass aids the interpolation. This paper describes the methodology used in deriving fine particle maps for the U.S. by using visibility (280 sites) and PM10 data (~1000 sites) as fine mass surrogates. The approach utilizes existing fine mass concentration data as the measured "anchor points" for the derived maps. The higher resolution spatial coverage of the visibility and PM10 networks combined with their relationships to fine mass results in more detailed fine mass maps. Quarterly fine mass maps are derived for 1988-92. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke4 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A918CommentFeedback1.html Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations Title: Incorporating Topography in the Spatial Interpolation of Pollutant Concentrations DocURL: /CAPITA/DataSets/PM10ElevCor/P10ELV.HTML Description: This paper incorporates topographical data into the spatial interpolation of quarterly and annually averaged particulate matter concentrations. A relation for the decrease of pollutant concentrations with increasing elevation is applied and the elevation correction is performed using a monitoring site's elevation relative to its surrounding terrain. Topographical data and meteorological scale height data are used in conjunction with PM10 concentration data to interpolate PM concentrations. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke3 Comment/Feedback URL: /CAPITA/DataSets/PM10ElevCor/P10ELVCommentFeedback1.html Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions Title: Correction of Particulate Matter Concentrations to Reference Temperature and Pressure Conditions DocURL: /CAPITA/Awma98/HTTP/98_A920.htm Description: The 1997 revisions to the particulate matter NAAQS included changes in reporting observed concentrations from standard temperature and pressure to local conditions. This paper analyzes the impact of this revision to the spatial and temporal pattern of PM10 concentrations on a seasonal time scale. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke2 Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A920CommentFeedback1.html Estimation of Daily Fine Particle Concentrations in Philadelphia Title: Estimation of Daily Fine Particle Concentrations in Philadelphia DocURL: /CAPITA/CapitaReports/PhilPM25/PhiPMBX.HTML Description: The purpose of this analysis is to estimate the daily fine particle concentration in Philadelphia for the period 1979-1983. The temporal interpolation method requires the estimation of fine mass for two days sandwiched between the 3-day sampling intervals. The interpolation utilizes airport visibility observations and the regression analysis that relates the weather corrected extinction coefficient to fine mass. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke1 Comment/Feedback URL: /CAPITA/CapitaReports/PhilPM25/PhiPMBXCommentFeedback1.html Declustering in the Spatial Interpolation Title: Declustering in the Spatial Interpolation DocURL: /CAPITA/Awma98/HTTP/98_A927.htm Description: Air quality monitoring stations are generally located in or near urban areas while station coverage in rural regions is sparse. Clusters of urban sites cause traditional inverse distance weighting interpolation of pollutant concentrations to be biased toward urban concentrations. A new spatial declustering method has been developed that incorporates distance and station density to alleviate much of this bias. Sites located within a cluster are assigned smaller radii of influence and are weighted less than a remote site whose area of representativeness is large. The uncertainties in the estimates and interpolation performance are analyzed using the statistical method of cross validation. The newly developed spatial interpolation method has been tested in the mapping of tropospheric ozone concentration data. Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 5/20/98 RecID: Body.StefanFalke Comment/Feedback URL: /CAPITA/Awma98/HTTP/98_A927CommentFeedback1.html Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model Title: Regional Simulation of Atmospheric Pollutants with the CAPITA Monte Carlo Model DocURL: /CAPITA/CapitaReports/MonteCarlo/MonteCarlo.html Description: A paper describing the CAPITA regional air quality model, based on the Monte Carlo approach. The paper describes the methodologies employed for modeling atmospheric transport and kinetic processes. The model uses are illustrated and tested for the calculation of trajectories, simulation of sulfate ambient concentrations and wet deposition rates, and the investigation and quantification of the source receptor relationship. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 5/20/98 RecID: Body.BretSchichtel Comment/Feedback URL: /CAPITA/CapitaReports/MonteCarlo/MonteCarloCommentFeedback1.html Related Activities Reporting Requirements Web Links Network PM: a web site devoted to airborne particulate matter (PM) Title: Network PM: a web site devoted to airborne particulate matter (PM) DocURL: http://www.personal.leeds.ac.uk/~lecan/pm10.htm Description: Anil Namdao of the Environment Center, University of Leeds, UK maintains an excellent, comprehensive website on Particulate Matter. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 10/2/98 RecID: Body.RichPoirot Comment/Feedback URL: /PMFine/RemoteCFPages/pm10CommentFeedback1.html PM2.5 Monitoring Information - Super Sites Title: PM2.5 Monitoring Information - Super Sites DocURL: http://www.epa.gov/ttn/amtic/supsites.html Description: Visit this webpage for information about the Super Sites. Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 8/7/98 RecID: Body.ShellyEberly1 Comment/Feedback URL: /PMFine/RemoteCFPages/supsitesCommentFeedback1.html PM2.5 Monitoring Information - Super Sites Title: PM2.5 Monitoring Information - Super Sites DocURL: http://www.epa.gov/ttn/amtic/supsite.html Description: Visit this webpage for information about activities concerning the Super Sites. Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 8/7/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/RemoteCFPages/supsiteCommentFeedback1.html Systems Approach to Air Quality Management - An AQ Analysis Framework Title: Systems Approach to Air Quality Management - An AQ Analysis Framework DocURL: /smarts/ENVMANG1.htm Description: The human-air quality interaction can be described in many ways from different points of view. A useful framework is to view human-environmental interactions as an adoptive, self-regulating system. The three main processes of the system are (1) Setting of Air Quality Goals, e.g. Exceedence Standards (2) Monitoring and Assessment of Status, Trends of Exceedances (3) Actions to Reduce the Exceedences Submitted by: Husar Rudolf Sumbitter URL: /PMFine/People/people.html#RudolfHusar Date: 7/30/98 RecID: Body.RudolfHusar Comment/Feedback URL: /smarts/ENVMANG1CommentFeedback1.html Dave DuBois' (DRI) Air Quality Network Design Page Title: Dave DuBois' (DRI) Air Quality Network Design Page DocURL: http://unr.edu/homepage/daved/gisres.html Description: Page includes links a network design bibliography, DRI PM2.5 MONITORING NETWORK DESIGN STRATEGIES presentation, and link to field program planning for the California Regional PM2.5/PM10 Air Quality Study . Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 7/24/98 RecID: Body.StefanFalke Comment/Feedback URL: /PMFine/RemoteCFPages/gisresCommentFeedback1.html Glossary Contacts Training Status & Trends Outline Resources Data North American Integrated PM2.5 Speciated Data Set Title: North American Integrated PM2.5 Speciated Data Set Organization: Center for Air Pollution Impact and Trend Analysis (CAPITA) Description: A long term North American fine particle (<2.5 micrometers) data set containing mass, elemental composition, ions and organics. There are 577 urban and rural monitoring sites in the US (520 sites) and Canada (57 sites) from 1979 through February 1997. The data set was created by integrating data from 14 historical and active fine particle monitoring networks. Except for unit changes, the fine mass concentrations have not been altered from that received from the data suppliers. This data set was created to support spatial and temporal PM fine trend analysis, as well as the investigation of the causal factors for the fine particle air quality. Submitted by: Schichtel Bret RecID: Data.BretSchichtel1 Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback30.html The Regional Climate Centers Title: The Regional Climate Centers Description: A nationwide network of six regional centers provides convenient and timely access to accurate and reliable climate information. These centers also monitor and report current climate conditions in the regions they serve. The expertise and data resources of the Regional Climate Centers are available to assist in interpreting present conditions, quantifying climate variability, and assessing the likelihood of extreme weather events that often produce major social, economic and environmental impacts in a region. Submitted by: Pitchford Marc RecID: Data.MarcPitchford Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback17.html URLLink=InputOrganizationURL Title: URLLink=InputOrganizationURL Description: URLLink=InputOrganizationURL Submitted by: Falke Stefan RecID: Data.StefanFalke2 Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback15.html North American Fine Particle Data Set Title: North American Fine Particle Data Set DocURL: /CAPITA/CapitaReports/PMFineAn/NAMPM_IntegratedData/NAMPM_integrated_data.html Description: Long term North American PM data sets representative of urban and rural air quality created by integrating data from current and historical research and routine fine particle monitoring networks. Currently, these are intermediate data sets that are expected to grow in the coming weeks. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/20/98 RecID: Body.BretSchichtel Comment/Feedback URL: /CAPITA/CapitaReports/PMFineAn/NAMPM_IntegratedData/NAMPM_integrated_dataCommentFeedback1.html Tools Voyager Decompiler Title: Voyager Decompiler DocURL: /capita/utilities/VoyDecompiler/Description.html Description: Data transformer from Voyager binary format to ASCII flat files Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel4 Comment/Feedback URL: /capita/utilities/VoyDecompiler/DescriptionCommentFeedback2.html Real-time Environmental Applications and Display System (READY) Title: Real-time Environmental Applications and Display System (READY) DocURL: http://www.arl.noaa.gov/ready.html Description: READY is an online source of past, present, and future meteorological data, as well as an interactive trajectory and dispersion modeling server. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel3 Comment/Feedback URL: /PMFine/RemoteCFPages/readyCommentFeedback1.html Gif Animation Utility Title: Gif Animation Utility DocURL: /tools/Animator/Ani2Info.html Description: Utility for animating a series of gif images located anywhere on the web Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel2 Comment/Feedback URL: /tools/Animator/Ani2InfoCommentFeedback3.html Movie Title: Movie DocURL: /capita/utilities/Movie/Description.html Description: Animation utility for creating and viewing .AVI and .MOV files Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel1 Comment/Feedback URL: /capita/utilities/Movie/DescriptionCommentFeedback2.html Voyager Title: Voyager DocURL: /capita/utilities/Voyager/Description.html Description: Voyager is a multidimensional data browser needed for browsing Voyager data files (.VOY). Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel Comment/Feedback URL: /capita/utilities/Voyager/DescriptionCommentFeedback2.html Historical Literature Web Links PM2.5 Monitoring Information - Super Sites Title: PM2.5 Monitoring Information - Super Sites DocURL: http://www.epa.gov/ttn/amtic/supsites.html Description: Visit this webpage for information about the Super Sites. Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 8/7/98 RecID: Body.ShellyEberly1 Comment/Feedback URL: /PMFine/RemoteCFPages/supsitesCommentFeedback1.html PM2.5 Monitoring Information - Super Sites Title: PM2.5 Monitoring Information - Super Sites DocURL: http://www.epa.gov/ttn/amtic/supsite.html Description: Visit this webpage for information about activities concerning the Super Sites. Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 8/7/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/RemoteCFPages/supsiteCommentFeedback1.html Systems Approach to Air Quality Management - An AQ Analysis Framework Title: Systems Approach to Air Quality Management - An AQ Analysis Framework DocURL: /smarts/ENVMANG1.htm Description: The human-air quality interaction can be described in many ways from different points of view. A useful framework is to view human-environmental interactions as an adoptive, self-regulating system. The three main processes of the system are (1) Setting of Air Quality Goals, e.g. Exceedence Standards (2) Monitoring and Assessment of Status, Trends of Exceedances (3) Actions to Reduce the Exceedences Submitted by: Husar Rudolf Sumbitter URL: /PMFine/People/people.html#RudolfHusar Date: 7/30/98 RecID: Body.RudolfHusar Comment/Feedback URL: /smarts/ENVMANG1CommentFeedback1.html Dave DuBois' (DRI) Air Quality Network Design Page Title: Dave DuBois' (DRI) Air Quality Network Design Page DocURL: http://unr.edu/homepage/daved/gisres.html Description: Page includes links a network design bibliography, DRI PM2.5 MONITORING NETWORK DESIGN STRATEGIES presentation, and link to field program planning for the California Regional PM2.5/PM10 Air Quality Study . Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 7/24/98 RecID: Body.StefanFalke Comment/Feedback URL: /PMFine/RemoteCFPages/gisresCommentFeedback1.html Data Processing QA Review Data Screening & Aggregation Data Updates Temporal Patterns General Diurnal Day-of-Week Episodic Seasonal Long-Term Spatial Patterns General Urban Urban/Rural Elevational Regional National/International Compositional Patterns General Fine Mass Checmical Composition Discerning Influences General Meteorology Emissions InterPollutant Relationships Natural Events Feedback Loops General Data Processing Network Design Attainment Issues Source Attribution Control Strategies Project Reports Proposed PM Elevational Dependence Title: PM Elevational Dependence Description: This project will look at the seasonal dependence of particulate matter on elevation in the hope of deriving PM elevational gradients. This is to be accomplished by examining the multi-year monthly averages of IMPROVE PM2.5 and speciated data at high and low elevation sites throughout the Appalachian Mnts. In addition, AIRS PM10 and airport visibility data from the National Weather Service will be examined. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 11/10/98 RecID: Body.BretSchichtel Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback27.html Trends Analysis using the IMPROVE Data Base Title: Trends Analysis using the IMPROVE Data Base DocURL: /PMFine/Reports/ProposedProj/IMPR_TrndsProj.htm Description: The purpose of this project is to apply exploratory analysis methods to investigate long-term trends and patterns in particulate species. Meteorological data and other pollutant data (e.g. ozone and NOX) will also be examined to determine if there are any detectable interrelationship between particulate mass and meteorological variables and to what extent particulates mass may be associated with elevated ozone levels. The analysis would proceed in two phases....... Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 9/30/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/Reports/ProposedProj/IMPR_TrndsProjCommentFeedback1.html Ongoing research project to characterize temporal and spatial variations of atmospheric aerosol particles. Title: Ongoing research project to characterize temporal and spatial variations of atmospheric aerosol particles. DocURL: http://es.epa.gov/ncerqa_abstracts/grants/97/airqual/prather.html Description: This post relates to a current EPA / ORD / National Center for Environmental Research and Quality Assurance (NCERQ) Science to Achieve Results (STAR) Grant. Although the study is not affilated with our workgroup's mission, it may produce some valuable insights./ Investigator: Kimberly A. Prather, University of California, Riverside / Project Period: February 1, 1998 - January 31, 2001. / "The goal of the proposed research is to monitor changes in the particle size and chemical speciation of individual atmospheric aerosol particles over relatively short time intervals. Correlations will be established between fluctuations in aerosol particle size/composition distributions, gas phase measurements (i.e. NOx, ozone, NH3, HNO3), and meteorological conditions (wind speed, direction, relative humidity, temperature)... Using these real-time measurement capabilities [aerosol time-of-flight mass spectrometry (ATOFMS)], we will characterize temporal and spatial variations of atmospheric aerosol particles. These variations will be correlated with gas phase species concentrations, time of day, and meteorological conditions..." Submitted by: Schmidt Mark Sumbitter URL: /PMFine/People/people.html#MarkSchmidt Date: 9/28/98 RecID: Body.MarkSchmidt Comment/Feedback URL: /PMFine/RemoteCFPages/pratherCommentFeedback1.html Use of time-series analysis to examine link between photochemistry and PM concentrations Title: Use of time-series analysis to examine link between photochemistry and PM concentrations Description: PM fine will contain primary and secondary particulate matter. Because control strategies for primary and secondary PM are very different, it will be useful to develop techniques for separating the secondary and primary PM components. One approach is to examine the relationship between ozone (as a surrogate for photochemistry) and measured PM. We have done a preliminary examination of this for an 8 year data set in Chicago. Our data set contained daily PM10 (about 95% complete) and 8 hr max daily ozone. We developed a transfer function model predicting current PM10 as a function of previous day PM10, same day ozone and previous day ozone. The previous day PM10 effectively controls for the autocorrelation in the model's residuals. Both ozone terms are highly significant. It is also interesting to note that both ozone terms stay significant when NO2, SO2 and CO are also added. Because secondary PM should be in the PM2.5 size range, the ozone terms in the model with PM10 should be the same as with PM2.5 measurements. The next step is to calculate the effect of a reduction on ozone on predicted PM10. For example, we could 1) predict annual PM10 using the measured PM and ozone records, and 2) predict annual PM10 with a 10 % ozone reduction during the summer high ozone season. The difference in predicted PM should be an estimate of PM reduction due to a 10% ozone reduction in the high ozone season. I will try this to see what happens. Any thoughts on this are greatly appreciated. Submitted by: Scheff Peter Sumbitter URL: /PMFine/People/people.html#PeterScheff Date: 9/23/98 RecID: Body.PeterScheff Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback26.html In Progress Trends Analysis using the IMPROVE Data Base Title: Trends Analysis using the IMPROVE Data Base DocURL: /PMFine/reports/WashingtonPMf/WASHPMF.pdf Description: This report summarizes the initial results from examining the relationship between Washington, D.C. particulate mass and meteorological variables and evaluating the impact that interannual variations in meteorological conditions have on long-term trends in particulate matter. In addition, we are looking for any evidence of correlation between particulate mass and ozone or ozone precursors. Submitted by: cox Bill Sumbitter URL: /PMFine/People/people.html#Billcox Date: 12/16/98 RecID: Body.Billcox Comment/Feedback URL: /PMFine/reports/WashingtonPMf/WASHPMFCommentFeedback1.html Preliminary Maps of PM-Fine Trends at Long-Term IMPROVE Sites Title: Preliminary Maps of PM-Fine Trends at Long-Term IMPROVE Sites DocURL: /PMFine/Workgroup/Status&Trends/Reports/In-Progress/LongTermIMPROVE/LongTermIMPROVE.html Description: Here are some maps showing trends at the 36 IMPROVE sites which have been recording PM-Fine data for more than six years. There are five maps: one for overall trends, and one for each of the four seasons. Submitted by: Frechtel Peter Sumbitter URL: /PMFine/People/people.html#PeterFrechtel Date: 12/3/98 RecID: Body.PeterFrechtel Comment/Feedback URL: /PMFine/Workgroup/Status&Trends/Reports/In-Progress/LongTermIMPROVE/LongTermIMPROVECommentFeedback1.html A 1000 Mile Long Smoke Ribbon over Alaska Title: A 1000 Mile Long Smoke Ribbon over Alaska DocURL: /CAPITA/CapitaReports/Alaska1000MilePlume/Alaska1000MilePlume.htm Description: On October 8, 1998 a smoke plume was observed over Alaska stretching from the Canadian boarder through central Alaska to Kodiak Island. GOES 9 satellite images show that there was virtually no lateral plume dispersion over the 1000 mile transport range. Submitted by: Husar Rudolf Sumbitter URL: /PMFine/People/people.html#RudolfHusar Date: 10/15/98 RecID: Body.RudolfHusar Comment/Feedback URL: /PMFine/RemoteCFPages/Alaska1000MilePlumeCommentFeedback1.html Northeastern Forest Fire Pollution Episode: August, 1995 Title: Northeastern Forest Fire Pollution Episode: August, 1995 DocURL: /PMFine/Workgroup/Status&Trends/Reports/In-progress/FIREPROP.HTM Description: Analysis in-progress of space, time and compositional patterns of PM-2.5 and related pollutants during August, 1995 Northeastern forest fire episode. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 10/2/98 RecID: Body.RichPoirot Comment/Feedback URL: /PMFine/RemoteCFPages/FIREPROPCommentFeedback1.html Completed Comparison of Proposed National Trends PM2.5 monitoring Sites to Sites in the North American Integrated Data Set Title: Comparison of Proposed National Trends PM2.5 monitoring Sites to Sites in the North American Integrated Data Set DocURL: /CAPITA/CapitaReports/PMFineAn/NAMPM_IntegratedData/NAFIDS_vs_NTN/NAFIDSVsNTNsites.html Description: This document compares the Metropolitan Statistical Areas (MSA) required to monitor PM2.5 under the new fine mass NAAQS and proposed PM2.5 Speciation National Trends sites to North American Fine Mass Integrated Data Set's monitoring sites. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 9/19/98 RecID: Body.BretSchichtel Comment/Feedback URL: /PMFine/RemoteCFPages/NAFIDSVsNTNsitesCommentFeedback1.html Consensus Summaries Forum North American Fine Particle Data Sets: comments Title: North American Fine Particle Data Sets: comments Description: The North American Fine Particle Data Sets seem like excellent initial data for conducting various status and trends analyses. The inclusion of Canadian data is especially appreciated by those of us in "border States" (and Provinces). Some ideas for additional data processing - relevant to status & trends analyses: 1. Aggregation to longer averaging times (monthly, seasonal, annual means) 2. Supplemental rain chemistry data (merged from US & Canadian networks, and aggregated to similar averageing times as #1 Regarding #1, issues include data completeness (how many samples for a "valid" monthly mean?) and missing data (how to handle "below MDL" values in averaging?) Regarding #2, comparing space/time patterns in aerosol and wet deposition for SO4, NO3, Ca, Mg, K, and NH4 could be illuminating... Submitted by: Poirot Rich Date: 9/9/98 RecID: Forum.RichPoirot People Attainment Issues Source Attribution Outline Resources Data The Regional Climate Centers Title: The Regional Climate Centers Description: A nationwide network of six regional centers provides convenient and timely access to accurate and reliable climate information. These centers also monitor and report current climate conditions in the regions they serve. The expertise and data resources of the Regional Climate Centers are available to assist in interpreting present conditions, quantifying climate variability, and assessing the likelihood of extreme weather events that often produce major social, economic and environmental impacts in a region. Submitted by: Pitchford Marc RecID: Data.MarcPitchford Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback17.html North American Fine Particle Data Set Title: North American Fine Particle Data Set DocURL: /CAPITA/CapitaReports/PMFineAn/NAMPM_IntegratedData/NAMPM_integrated_data.html Description: Long term North American PM data sets representative of urban and rural air quality created by integrating data from current and historical research and routine fine particle monitoring networks. Currently, these are intermediate data sets that are expected to grow in the coming weeks. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/20/98 RecID: Body.BretSchichtel Comment/Feedback URL: /CAPITA/CapitaReports/PMFineAn/NAMPM_IntegratedData/NAMPM_integrated_dataCommentFeedback1.html Tools EPA Draft Guidance: CMB8 Application and Validation Protocol for PM2.5 and VOC Title: EPA Draft Guidance: CMB8 Application and Validation Protocol for PM2.5 and VOC DocURL: /EnhancedOzone/Resources/Bibliography/Reports/PAMS/Protocol.pdf Description: This draft (very draft!) protocol describes how to use the CMB in practical applications to determine the contributions of different sources to PM2.5 and VOCs. Its objectives are: 1) Document measurement approaches and data sources for source and receptor input data, 2) Describe the seven step applications and validation protocol to be followed when using the CMB for source apportionment, and 3) Present examples for PM2.5 and VOC apportionment using contemporary data sets and source types. [Submitted in 2 places - SA Tools & SA Projects] Submitted by: Schmidt Mark Sumbitter URL: /PMFine/People/people.html#MarkSchmidt Date: 10/29/98 RecID: Body.MarkSchmidt Comment/Feedback URL: /PMFine/RemoteCFPages/ProtocolCommentFeedback2.html Voyager Decompiler Title: Voyager Decompiler DocURL: /capita/utilities/VoyDecompiler/Description.html Description: Data transformer from Voyager binary format to ASCII flat files Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel4 Comment/Feedback URL: /capita/utilities/VoyDecompiler/DescriptionCommentFeedback2.html Real-time Environmental Applications and Display System (READY) Title: Real-time Environmental Applications and Display System (READY) DocURL: http://www.arl.noaa.gov/ready.html Description: READY is an online source of past, present, and future meteorological data, as well as an interactive trajectory and dispersion modeling server. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel3 Comment/Feedback URL: /PMFine/RemoteCFPages/readyCommentFeedback1.html Gif Animation Utility Title: Gif Animation Utility DocURL: /tools/Animator/Ani2Info.html Description: Utility for animating a series of gif images located anywhere on the web Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel2 Comment/Feedback URL: /tools/Animator/Ani2InfoCommentFeedback3.html Movie Title: Movie DocURL: /capita/utilities/Movie/Description.html Description: Animation utility for creating and viewing .AVI and .MOV files Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel1 Comment/Feedback URL: /capita/utilities/Movie/DescriptionCommentFeedback2.html Voyager Title: Voyager DocURL: /capita/utilities/Voyager/Description.html Description: Voyager is a multidimensional data browser needed for browsing Voyager data files (.VOY). Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 7/9/98 RecID: Body.BretSchichtel Comment/Feedback URL: /capita/utilities/Voyager/DescriptionCommentFeedback2.html Literature Training Web Links PM2.5 Monitoring Information - Super Sites Title: PM2.5 Monitoring Information - Super Sites DocURL: http://www.epa.gov/ttn/amtic/supsites.html Description: Visit this webpage for information about the Super Sites. Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 8/7/98 RecID: Body.ShellyEberly1 Comment/Feedback URL: /PMFine/RemoteCFPages/supsitesCommentFeedback1.html PM2.5 Monitoring Information - Super Sites Title: PM2.5 Monitoring Information - Super Sites DocURL: http://www.epa.gov/ttn/amtic/supsite.html Description: Visit this webpage for information about activities concerning the Super Sites. Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 8/7/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/RemoteCFPages/supsiteCommentFeedback1.html Systems Approach to Air Quality Management - An AQ Analysis Framework Title: Systems Approach to Air Quality Management - An AQ Analysis Framework DocURL: /smarts/ENVMANG1.htm Description: The human-air quality interaction can be described in many ways from different points of view. A useful framework is to view human-environmental interactions as an adoptive, self-regulating system. The three main processes of the system are (1) Setting of Air Quality Goals, e.g. Exceedence Standards (2) Monitoring and Assessment of Status, Trends of Exceedances (3) Actions to Reduce the Exceedences Submitted by: Husar Rudolf Sumbitter URL: /PMFine/People/people.html#RudolfHusar Date: 7/30/98 RecID: Body.RudolfHusar Comment/Feedback URL: /smarts/ENVMANG1CommentFeedback1.html Dave DuBois' (DRI) Air Quality Network Design Page Title: Dave DuBois' (DRI) Air Quality Network Design Page DocURL: http://unr.edu/homepage/daved/gisres.html Description: Page includes links a network design bibliography, DRI PM2.5 MONITORING NETWORK DESIGN STRATEGIES presentation, and link to field program planning for the California Regional PM2.5/PM10 Air Quality Study . Submitted by: Falke Stefan Sumbitter URL: /PMFine/People/people.html#StefanFalke Date: 7/24/98 RecID: Body.StefanFalke Comment/Feedback URL: /PMFine/RemoteCFPages/gisresCommentFeedback1.html Data Processing Local vs. Non-local Source Categories Source Regions Specific Source Influences Uncertainties Emissions Network Design Project Reports Proposed PM2.5 as a Function of wind speed and direction: Local and Regional Source Apportionment Title: PM2.5 as a Function of wind speed and direction: Local and Regional Source Apportionment Description: The relative contributions of local and regional sources to a locations PM2.5 concentrations can be highly influenced by atmospheric transport conditions. Slow or recirculating airmass transport allows for the accumulation of local emissions while high speed directionally persistent transport prevents the build up of local emissions, but brings in regional contributions. This project will investigate the PM2.5 dependence on transport by examining the average PM2.5 concentrations for select wind speed and direction ranges. The comparison of PM2.5 concentrations during high and low speed transport will provide insights and possibly estimates of the local and regional PM contributions. In addition, at selected sites local and regional PM2.5 contributions will be estimated by examining up and down wind differences. The average PM2.5 concentrations will be extracted from 5 to 12 years of PM2.5 and transport data. The airmass transport speeds and directions will be estimated from the NWS surface winds, the upper air wind field from the NWS's Nested Grid Model, and airmass history calculations. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 11/10/98 RecID: Body.BretSchichtel Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback28.html Trends Analysis using the IMPROVE Data Base Title: Trends Analysis using the IMPROVE Data Base DocURL: /PMFine/Reports/ProposedProj/IMPR_TrndsProj.htm Description: The purpose of this project is to apply exploratory analysis methods to investigate long-term trends and patterns in particulate species. Meteorological data and other pollutant data (e.g. ozone and NOX) will also be examined to determine if there are any detectable interrelationship between particulate mass and meteorological variables and to what extent particulates mass may be associated with elevated ozone levels. The analysis would proceed in two phases....... Submitted by: Eberly Shelly Sumbitter URL: /PMFine/People/people.html#ShellyEberly Date: 9/30/98 RecID: Body.ShellyEberly Comment/Feedback URL: /PMFine/Reports/ProposedProj/IMPR_TrndsProjCommentFeedback1.html Ongoing research project to characterize temporal and spatial variations of atmospheric aerosol particles. Title: Ongoing research project to characterize temporal and spatial variations of atmospheric aerosol particles. DocURL: http://es.epa.gov/ncerqa_abstracts/grants/97/airqual/prather.html Description: This post relates to a current EPA / ORD / National Center for Environmental Research and Quality Assurance (NCERQ) Science to Achieve Results (STAR) Grant. Although the study is not affilated with our workgroup's mission, it may produce some valuable insights./ Investigator: Kimberly A. Prather, University of California, Riverside / Project Period: February 1, 1998 - January 31, 2001. / "The goal of the proposed research is to monitor changes in the particle size and chemical speciation of individual atmospheric aerosol particles over relatively short time intervals. Correlations will be established between fluctuations in aerosol particle size/composition distributions, gas phase measurements (i.e. NOx, ozone, NH3, HNO3), and meteorological conditions (wind speed, direction, relative humidity, temperature)... Using these real-time measurement capabilities [aerosol time-of-flight mass spectrometry (ATOFMS)], we will characterize temporal and spatial variations of atmospheric aerosol particles. These variations will be correlated with gas phase species concentrations, time of day, and meteorological conditions..." Submitted by: Schmidt Mark Sumbitter URL: /PMFine/People/people.html#MarkSchmidt Date: 9/28/98 RecID: Body.MarkSchmidt Comment/Feedback URL: /PMFine/RemoteCFPages/pratherCommentFeedback1.html Use of time-series analysis to examine link between photochemistry and PM concentrations Title: Use of time-series analysis to examine link between photochemistry and PM concentrations Description: PM fine will contain primary and secondary particulate matter. Because control strategies for primary and secondary PM are very different, it will be useful to develop techniques for separating the secondary and primary PM components. One approach is to examine the relationship between ozone (as a surrogate for photochemistry) and measured PM. We have done a preliminary examination of this for an 8 year data set in Chicago. Our data set contained daily PM10 (about 95% complete) and 8 hr max daily ozone. We developed a transfer function model predicting current PM10 as a function of previous day PM10, same day ozone and previous day ozone. The previous day PM10 effectively controls for the autocorrelation in the model's residuals. Both ozone terms are highly significant. It is also interesting to note that both ozone terms stay significant when NO2, SO2 and CO are also added. Because secondary PM should be in the PM2.5 size range, the ozone terms in the model with PM10 should be the same as with PM2.5 measurements. The next step is to calculate the effect of a reduction on ozone on predicted PM10. For example, we could 1) predict annual PM10 using the measured PM and ozone records, and 2) predict annual PM10 with a 10 % ozone reduction during the summer high ozone season. The difference in predicted PM should be an estimate of PM reduction due to a 10% ozone reduction in the high ozone season. I will try this to see what happens. Any thoughts on this are greatly appreciated. Submitted by: Scheff Peter Sumbitter URL: /PMFine/People/people.html#PeterScheff Date: 9/23/98 RecID: Body.PeterScheff Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback26.html In Progress Northeastern Forest Fire Pollution Episode: August, 1995 Title: Northeastern Forest Fire Pollution Episode: August, 1995 DocURL: /PMFine/Workgroup/Status&Trends/Reports/In-progress/FIREPROP.HTM Description: Analysis in-progress of space, time and compositional patterns of PM-2.5 and related pollutants during August, 1995 Northeastern forest fire episode. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 10/2/98 RecID: Body.RichPoirot Comment/Feedback URL: /PMFine/RemoteCFPages/FIREPROPCommentFeedback1.html Completed Local and Regional Contribution of Fine Particulate Mass to Urban Areas in the Mid-Atlantic and Southwestern US - Summary Title: Local and Regional Contribution of Fine Particulate Mass to Urban Areas in the Mid-Atlantic and Southwestern US - Summary DocURL: /CAPITA/CapitaReports/PMFineAn/PM_vs_Tran/PMVsWnd_Pres/ Description: Power point presentation summarizing the result from the report Local and Regional Contribution of Fine Particulate Mass to Urban Areas in the Mid-Atlantic and Southwestern US Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 12/7/98 RecID: Body.BretSchichtel1 Comment/Feedback URL: /PMFine/RemoteCFPages/capita.wustlCommentFeedback1.html Local and Regional Contributions of PM2.5 to Urban Areas in the Mid-Atlantic and Southwestern US Title: Local and Regional Contributions of PM2.5 to Urban Areas in the Mid-Atlantic and Southwestern US DocURL: /CAPITA/CapitaReports/PMFineAn/PM_vs_Tran/finalreport/BltPhx_PMvsWnd_FinalReport.html Description: The seasonal local and regional source contributions of PM2.5 to urban areas in the Mid-Atlantic states: Baltimore, MD, Washington, DC, and Philadelphia, PA and Phoenix, AZ in the Southwest are examined using two methods. The first method estimates urban excesses by comparing seasonal PM2.5 trends at the urban monitors to nearby rural monitors. The second method examines the relationship of PM2.5 to transport speed and direction from which qualitative estimates of local and regional contributions are derived. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 12/7/98 RecID: Body.BretSchichtel Comment/Feedback URL: /PMFine/RemoteCFPages/BltPhx_PMvsWnd_FinalReportCommentFeedback1.html EPA Draft Guidance: CMB8 Application and Validation Protocol for PM2.5 and VOC Title: EPA Draft Guidance: CMB8 Application and Validation Protocol for PM2.5 and VOC DocURL: /EnhancedOzone/Resources/Bibliography/Reports/PAMS/Protocol.pdf Description: This draft (very draft!) protocol describes how to use the CMB in practical applications to determine the contributions of different sources to PM2.5 and VOCs. Its objectives are: 1) Document measurement approaches and data sources for source and receptor input data, 2) Describe the seven step applications and validation protocol to be followed when using the CMB for source apportionment, and 3) Present examples for PM2.5 and VOC apportionment using contemporary data sets and source types. [Submitted in 2 places - SA Tools & SA Projects (see Section 5 for PM2.5 case study)] Submitted by: Schmidt Mark Sumbitter URL: /PMFine/People/people.html#MarkSchmidt Date: 10/29/98 RecID: Body.MarkSchmidt Comment/Feedback URL: /PMFine/RemoteCFPages/ProtocolCommentFeedback1.html Comparison of Proposed National Trends PM2.5 monitoring Sites to Sites in the North American Integrated Data Set Title: Comparison of Proposed National Trends PM2.5 monitoring Sites to Sites in the North American Integrated Data Set DocURL: /CAPITA/CapitaReports/PMFineAn/NAMPM_IntegratedData/NAFIDS_vs_NTN/NAFIDSVsNTNsites.html Description: This document compares the Metropolitan Statistical Areas (MSA) required to monitor PM2.5 under the new fine mass NAAQS and proposed PM2.5 Speciation National Trends sites to North American Fine Mass Integrated Data Set's monitoring sites. Submitted by: Schichtel Bret Sumbitter URL: /PMFine/People/people.html#BretSchichtel Date: 9/19/98 RecID: Body.BretSchichtel Comment/Feedback URL: /PMFine/RemoteCFPages/NAFIDSVsNTNsitesCommentFeedback1.html Consensus Summaries Forum People Control Strategies
Workbook Forum The Ends vs. the Means or the Chicken vs. the Egg? Title: The Ends vs. the Means or the Chicken vs. the Egg? DocURL: /PMFine/Workbook/EndsVsMeans/EndsVsMeans.htm Description: comments on: "On PMFine Management, PMFine Analysis Workbook Design and Implementation"). I agree with Rudy's ideas on PMFine (or any pollutant) management process - and generally seem to agree with almost everyone's general ideas (including mine) on useful workbook contents etc........ Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/28/98 RecID: Forum.RichPoirot1 Comment/Feedback URL: /PMFine/Workbook/EndsVsMeans/EndsVsMeansCommentFeedback1.html Suggested Revision to Workbook Organization & Process Title: Suggested Revision to Workbook Organization & Process DocURL: /PMFine/WorkBook/OutLineRev/workfix.htm Description: Here are some ideas for possible reorganization of the Workbook. If no one likes them there's no problem. But if a few agree, or have other Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/23/98 RecID: Forum.RichPoirot Comment/Feedback URL: /PMFine/WorkBook/OutLineRev/workfixCommentFeedback1.html Workbook structure, implementation Title: Workbook structure, implementation DocURL: /CAPITA/CapitaReports/PMFineAn/PMFineAssess.htm Description: These notes are prepared as input to the PMFine Analysis Workbook design discussion to be continued on July 30, 1998. It states my beliefs, a suggested outline for the Workbook and comments on the Workbook implementation approach. Submitted by: Husar Rudolf Sumbitter URL: /PMFine/People/people.html#RudolfHusar Date: 7/27/98 RecID: Forum.RudolfHusar Comment/Feedback URL: /CAPITA/CapitaReports/PMFineAn/PMFineAssessCommentFeedback1.html Comments on poirot's comments Title: Comments on poirot's comments Description: Rich is on target with his comments. Hopefully within the next two years we will be able to learn from/incorporate data analysis/evaluation/assessment results from small scale and large scale field studies, such as the Upper Ohio River study, the SEARCH, and a NARSTO-NE Aerosol study (1999/2000) into the data analysis vortex. I do differ with rich about the focus on data analysis, however. I prefer to think of "this" effort as data assessment..which illicits more of an evaluation context...nit picking again! We have an opportunity to mold a different kind of assessment/thought process. One that has a more univeral flavor of determining the meaning of air pollution data. Transport needs to be universally understood as the linch pin of future assessment efforts...a two way street - how much of air pollutant X comes from an upwind airshed, and how much of air pollutant X leaves my (the) area of concern and influences downwind areas. This is a "us-vs-them" issue. Whenever "we" ask questions on sources and effects "we" need to think INPUT/OUTPUT. This is a "take responsibility for transboundary pollution" issue. If the areas/kinds of assessment are laid out well then the transport wars/issues of OTAG should be reduced. Finally, I would like to see the ozone and PMf data assessment folks merged. ava Submitted by: vanarsdale alan Sumbitter URL: /PMFine/People/people.html#alanvanarsdale Date: 7/24/98 RecID: Forum.alanvanarsdale Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback12.html Workbook - Draft The Ends vs. the Means or the Chicken vs. the Egg? Title: The Ends vs. the Means or the Chicken vs. the Egg? DocURL: /PMFine/Workbook/EndsVsMeans/EndsVsMeans.htm Description: comments on: "On PMFine Management, PMFine Analysis Workbook Design and Implementation"). I agree with Rudy's ideas on PMFine (or any pollutant) management process - and generally seem to agree with almost everyone's general ideas (including mine) on useful workbook contents etc........ Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/28/98 RecID: Forum.RichPoirot1 Comment/Feedback URL: /PMFine/Workbook/EndsVsMeans/EndsVsMeansCommentFeedback1.html Suggested Revision to Workbook Organization & Process Title: Suggested Revision to Workbook Organization & Process DocURL: /PMFine/WorkBook/OutLineRev/workfix.htm Description: Here are some ideas for possible reorganization of the Workbook. If no one likes them there's no problem. But if a few agree, or have other Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/23/98 RecID: Forum.RichPoirot Comment/Feedback URL: /PMFine/WorkBook/OutLineRev/workfixCommentFeedback1.html Workbook structure, implementation Title: Workbook structure, implementation DocURL: /CAPITA/CapitaReports/PMFineAn/PMFineAssess.htm Description: These notes are prepared as input to the PMFine Analysis Workbook design discussion to be continued on July 30, 1998. It states my beliefs, a suggested outline for the Workbook and comments on the Workbook implementation approach. Submitted by: Husar Rudolf Sumbitter URL: /PMFine/People/people.html#RudolfHusar Date: 7/27/98 RecID: Forum.RudolfHusar Comment/Feedback URL: /CAPITA/CapitaReports/PMFineAn/PMFineAssessCommentFeedback1.html Comments on poirot's comments Title: Comments on poirot's comments Description: Rich is on target with his comments. Hopefully within the next two years we will be able to learn from/incorporate data analysis/evaluation/assessment results from small scale and large scale field studies, such as the Upper Ohio River study, the SEARCH, and a NARSTO-NE Aerosol study (1999/2000) into the data analysis vortex. I do differ with rich about the focus on data analysis, however. I prefer to think of "this" effort as data assessment..which illicits more of an evaluation context...nit picking again! We have an opportunity to mold a different kind of assessment/thought process. One that has a more univeral flavor of determining the meaning of air pollution data. Transport needs to be universally understood as the linch pin of future assessment efforts...a two way street - how much of air pollutant X comes from an upwind airshed, and how much of air pollutant X leaves my (the) area of concern and influences downwind areas. This is a "us-vs-them" issue. Whenever "we" ask questions on sources and effects "we" need to think INPUT/OUTPUT. This is a "take responsibility for transboundary pollution" issue. If the areas/kinds of assessment are laid out well then the transport wars/issues of OTAG should be reduced. Finally, I would like to see the ozone and PMf data assessment folks merged. ava Submitted by: vanarsdale alan Sumbitter URL: /PMFine/People/people.html#alanvanarsdale Date: 7/24/98 RecID: Forum.alanvanarsdale Comment/Feedback URL: /PMFine/RemoteCFPages/CommentFeedback12.html Resources Meteorological Tools: Frequently Asked Questions Title: Meteorological Tools: Frequently Asked Questions DocURL: http://www.scd.ucar.edu/dss/faq/ Description: Ilana Stern of UCAR has produced a very useful set of answers to Frequently-Asked Questions (FAQ) on Meteorology (how to find/get data, etc.) Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/30/98 RecID: Forum.RichPoirot2 Comment/Feedback URL: /PMFine/RemoteCFPages/www.scd.ucarCommentFeedback1.html Meteorological Tools: LAPS Title: Meteorological Tools: LAPS DocURL: http://laps.fsl.noaa.gov/ Description: The Local Analysis and Prediction System (LAPS) integrates data from virtually every meteorological observation system into a very high-resolution gridded framework centered on a forecast office's domain of responsibility. Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/30/98 RecID: Forum.RichPoirot1 Comment/Feedback URL: /PMFine/RemoteCFPages/laps.fsl.noaaCommentFeedback1.html Meteorological Tools: NOAA READY Website Title: Meteorological Tools: NOAA READY Website DocURL: /PMFine/Resources/RPfiles/readyt.htm Description: Great Resource for Meteorological Data and Analysis Tools Submitted by: Poirot Rich Sumbitter URL: /PMFine/People/people.html#RichPoirot Date: 7/30/98 RecID: Forum.RichPoirot Comment/Feedback URL: /PMFine/Resources/RPfiles/readytCommentFeedback1.html Status & Trends Attainment Issues Source Attribution Control Strategies
People Warren White Last Name: White First Name: Warren E-mail Address: white@wuchem.wustl.edu Organization: Washington University Description: atmospheric transport and transformation; optical effects; data interpretation RecID: WarrenWhite Activity Log: /PMFine/People/ActivityLogs/WarrenActivityLog1.html Philip Hopke Last Name: Hopke First Name: Philip Personal URL: http://www.clarkson.edu/chemistry/Ph.html E-mail Address: hopkepk@clarkson.edu Organization: Clarkson University Organization URL: http://www.clarkson.edu Description: Development and application of receptor models including advanced factor analysis and models incorporating air parcel back trajectories. Development of improved understanding of heterogeneous nucleation and thus better condensation nuclei counters. Also, I chair the CASAC Technical Subcommittee on Fine PM Monitoring. RecID: PhilipHopke Activity Log: /PMFine/People/ActivityLogs/PhilipActivityLog2.html Bruce Lin Last Name: Lin First Name: Bruce Personal URL: http://www.princeton.edu/~brucelin/thesis E-mail Address: brucelin@princeton.edu Organization: Princeton University Science Technology and Enviromental Policy Program Organization URL: http://www.princeton.edu/~step Description: Class project studying particulate standards for New Jersey RecID: BruceLin Activity Log: /PMFine/People/ActivityLogs/BruceActivityLog1.html mark sather Last Name: sather First Name: mark E-mail Address: sather.mark@epa.gov Organization: U.S. EPA Region 6, Dallas, Texas, Air Quality Analysis Section Description: trends, relationships with PAMS data analysis results RecID: marksather Activity Log: /PMFine/People/ActivityLogs/markActivityLog2.html Richard Hackney Last Name: Hackney First Name: Richard E-mail Address: rhackney@arb.ca.gov Organization: California Air Resources Board Organization URL: http://www.arb.ca.gov Description: Am chief data analyst for PM2.5 in Data Analysis branch. Over 20 years of experience with PM from developing emission factors to working on SIP revisions as a consultant and now with State of California. Currently developing a workplan to attack PM2.5 for the agency. Also involved in the 27.5 million $ field study entitled Calfiornia Regional Particulate Air Quality Study (CRPAQS) that will study PM2.5 for the year 2000 in all of central Ca., from Pacific to Nevada border. RecID: RichardHackney Activity Log: /PMFine/People/ActivityLogs/RichardActivityLog1.html Hilary Main Last Name: Main First Name: Hilary E-mail Address: hilary@sonomatech.com Organization: Sonoma Technology Inc. Organization URL: http://www.sonomatech.com Description: PM data analysis, data validation, trends; relationship between PM and ozone precursors; monitor siting issues RecID: HilaryMain Activity Log: /PMFine/People/ActivityLogs/HilaryActivityLog1.html Philip Fine Last Name: Fine First Name: Philip E-mail Address: phil@eql.caltech.edu Organization: California Institute of Technology Organization URL: http://www.caltech.edu Description: Investigating the contribution of biomass burning to national fine particle levels through the use of organic compound tracers in chemical mass balance receptor models RecID: PhilipFine Activity Log: /PMFine/People/ActivityLogs/PhilipActivityLog1.html Jim Voigt Last Name: Voigt First Name: Jim E-mail Address: airlab@ecity.net Organization: Polk County Air Quality Organization URL: http://www.co.polk.ia.us/airquality/index.htm Description: Will be operating PMFine monitoring for Polk County and one site for Iowa Department of Natural Resources. RecID: JimVoigt Activity Log: /PMFine/People/ActivityLogs/JimActivityLog1.html Jeffrey West Last Name: West First Name: Jeffrey E-mail Address: jwest@gpu.com Organization: NARSTO-NE Organization URL: http://www.epri.com/eg/narsto-neCauses and effects Description: Causes and effects. RecID: JeffreyWest Activity Log: /PMFine/People/ActivityLogs/JeffreyActivityLog1.html Anil Namdeo Last Name: Namdeo First Name: Anil Personal URL: http://www.personal.leeds.ac.uk/~lecan E-mail Address: a.namdeo@leeds.ac.uk Organization: University of Leeds Organization URL: http://www.leeds.ac.uk Description: Emission and dispersion modelling of fine particulates in urban environment. Editor of Netwrok PM web pages on particulates. URL: http://www.personal.leeds.ac.uk/~lecan/pm10.htm RecID: AnilNamdeo Activity Log: /PMFine/People/ActivityLogs/AnilActivityLog1.html Bill Adamski Last Name: Adamski First Name: Bill E-mail Address: adamsw@mail01.dnr.state.wi.us Organization: Wis Dept of Natural Resources Organization URL: http://www.dnr.state.wi.us Description: Source attribution, speciation RecID: BillAdamski Activity Log: /PMFine/People/ActivityLogs/BillActivityLog2.html Bart Croes Last Name: Croes First Name: Bart E-mail Address: bcroes@arb.ca.gov Organization: California Air Resources Board Organization URL: http://www.arb.ca.gov/aqd/aqd.htm Description: Network Design, Atmospheric Processes, Trend Analysis, Source-Receptor Modeling, Photochemical Modeling, Emission Inventory Reconciliation RecID: BartCroes Activity Log: /PMFine/People/ActivityLogs/BartActivityLog1.html John Haus Last Name: Haus First Name: John E-mail Address: Jhaus@mde.state.md.us Organization: Maryland Dept. of Environ., Air & Radiation RecID: JohnHaus Activity Log: /PMFine/People/ActivityLogs/JohnActivityLog1.html Peter Frechtel Last Name: Frechtel First Name: Peter E-mail Address: frechtel.peter@epamail.epa.gov Organization: U.S. EPA/AQTAG, Research Triangle Park, NC Organization URL: http://www.epa.gov/ Description: I'm a graduate student in statistics at NC State, working part-time at EPA until May 1999. I'm eager to help with data analysis; I'm familiar with SAS and ArcView. Until I catch up with other folks in the trends analysis subgroup, maybe the best way I can help out is by making graphs, tables, and maps if people request them. RecID: PeterFrechtel Activity Log: /PMFine/People/ActivityLogs/PeterActivityLog2.html Mark Schmidt Last Name: Schmidt First Name: Mark E-mail Address: schmidt.mark@epa.gov Organization: EPA/OAR/OAQPS/EMAD/AQTAG Description: Ambient trends / characterization; source attribution; linkage to ozone / precursors, RecID: MarkSchmidt Activity Log: /PMFine/People/ActivityLogs/MarkActivityLog1.html Thomas Shoens Last Name: Shoens First Name: Thomas E-mail Address: tshoens@oo.wayne.mi.us Organization: Wayne County Department of the Enviornment/ Air Quality Management Division Description: Operations of PM-2.5 monitoring networks, quality control, and data analysis. RecID: ThomasShoens Activity Log: /PMFine/People/ActivityLogs/ThomasActivityLog1.html Mike Rizzo Last Name: Rizzo First Name: Mike E-mail Address: rizzo.michael@epa.gov Organization: USEPA Region 5 Organization URL: http://www.epa.gov/ARD-R5/ Description: Ambient Monitoring, Data Analysis, Source Apportionment, Speciation RecID: MikeRizzo Activity Log: /PMFine/People/ActivityLogs/MikeActivityLog1.html Peter Scheff Last Name: Scheff First Name: Peter E-mail Address: pscheff@uic.edu Organization: University of Illinois at Chicago Organization URL: http://www.uic.edu Description: Source-Receptor modeling, Trends analysis, Source characterization, Ambient measurements. RecID: PeterScheff Activity Log: /PMFine/People/ActivityLogs/PeterActivityLog1.html Tom Pace Last Name: Pace First Name: Tom E-mail Address: pace.tom@epa.gov Organization: U.S. EPA - OAQPS / EMAD Description: Emission Inventory and Factors, Data Analysis, Receptor Modeling, Ambient Measurements RecID: TomPace Activity Log: /PMFine/People/ActivityLogs/TomActivityLog4.html Tom Moore Last Name: Moore First Name: Tom E-mail Address: moore.tom@ev.state.az.us Organization: Arizona DEQ - Air Quality Division Organization URL: http://www.adeq.state.az.us Description: Implementation of EPA-required PM2.5 monitoring network and support activities, Long-Term Urban Haze PM/Optical Monitoring Networks - Phoenix and Tucson, Visibility (PM & optical) data analyses, Ambient monitoring networks' design and operations RecID: TomMoore Activity Log: /PMFine/People/ActivityLogs/TomActivityLog3.html Mary Ann Heindorf Last Name: Heindorf First Name: Mary Ann E-mail Address: heindorm@state.mi.us Organization: Michigan Department of Environmental Quality Organization URL: http://www.deq.state.us/aqd/ Description: PM2.5 contact for MI, chemical speciation, geographical distribution & transport, air quality trends, method bias RecID: MaryAnnHeindorf Activity Log: /PMFine/People/ActivityLogs/Mary AnnActivityLog2.html Mary Ann Heindorf, Ph.D. Last Name: Heindorf, Ph.D. First Name: Mary Ann E-mail Address: heindorm@state.mi.us Organization: Michigan Department of Environmental Quality Organization URL: http://www.deq.state.us/aqd/ Description: PM2.5 contact for MI, chemical speciation, geographical distribution & transport, air quality trends, method bias RecID: MaryAnnHeindorf,Ph.D. Activity Log: /PMFine/People/ActivityLogs/Mary AnnActivityLog1.html Marc Pitchford Last Name: Pitchford First Name: Marc E-mail Address: marcp@dri.edu Organization: NOAA/ARL & EPA/OAQPS Description: Visibility protection in federal class I areas; fine particle sampling, speciation analysis, and data analysis; regional scale source apportionment studies. RecID: MarcPitchford Activity Log: /PMFine/People/ActivityLogs/MarcActivityLog1.html Tom Rosendahl Last Name: Rosendahl First Name: Tom E-mail Address: Rosendahl.Tom@EPAMAIL.EPA.GOV Organization: U.S. EPA, OAQPS, AQSSD, Integr.Policy&Strtgs.Grp. Description: Particulate Matter (PM10&PM2.5) Program Implementation, Air Quality Data Analysis, Emission Inventory and Modeling, Control Strategy Development and Implementation, NAAQS Policy Issues. RecID: TomRosendahl Activity Log: /PMFine/People/ActivityLogs/TomActivityLog2.html Bill cox Last Name: cox First Name: Bill E-mail Address: cox.bill@epamail.epa.gov Organization: USEPA OAQPS EMAD Air Quality Modeling Group Description: Spatial and Temporal Trends and Patterns of PM fine and constituents. Evaluation of air quality model performance and characterization of model uncertainty. Integration of monitoring and modeling data in regulatory applications. RecID: Billcox Activity Log: /PMFine/People/ActivityLogs/BillActivityLog1.html alan vanarsdale Last Name: vanarsdale First Name: alan E-mail Address: vanarsdale.alan@epamail.epe.gov Organization: USEPA Region I Description: PMf atmospheric chemistry, etc. RecID: alanvanarsdale Activity Log: /PMFine/People/ActivityLogs/alanActivityLog1.html K. P. Pierson Last Name: Pierson First Name: K. P. Personal URL: http://adeq.state.ar.us E-mail Address: pierson@adeq.state.ar.us Organization: Arkansas Department of Pollution Control and Ecology Organization URL: http://adeq.state.ar.us Description: PM2.5 Coordinator for the State of Arkansas RecID: K.P.Pierson Activity Log: /PMFine/People/ActivityLogs/K. P.ActivityLog1.html nares chuersuwan Last Name: chuersuwan First Name: nares E-mail Address: nares@eden.rutgers.edu Organization: Rutgers University Organization URL: http://snowfall.rutgers.edu Description: data analysis and measurement RecID: nareschuersuwan Activity Log: /PMFine/People/ActivityLogs/naresActivityLog1.html Bob Wayland Last Name: Wayland First Name: Bob E-mail Address: wayland.robertj@epamail.epa.gov Organization: U.S. EPA (AQSSD/IPSG) Description: Data Analysis, Model-Data Intercomparison, Attainment Determinations RecID: BobWayland Activity Log: /PMFine/People/ActivityLogs/BobActivityLog1.html Rudolf Husar Last Name: Husar First Name: Rudolf E-mail Address: rhusar@mecf.wustl.edu Organization: CAPITA Organization URL: /capita Description: PM spatial-temporal pattern analysis, source apportionment, web-based collabotaion and AQ managment support. RecID: RudolfHusar Activity Log: /PMFine/People/ActivityLogs/RudolfActivityLog1.html Maryann Suero Last Name: Suero First Name: Maryann E-mail Address: suero.maryann@epamail.epa.gov Organization: USEPA Region 5 Organization URL: http://www.epa.gov/ARD-R5/ Description: Compliance Monitoring; Speciation; Emission Inventory Evaluation; Source Apportionment; Development of Control Strategies RecID: MaryannSuero Activity Log: /PMFine/People/ActivityLogs/MaryannActivityLog1.html Michael Koerber Last Name: Koerber First Name: Michael E-mail Address: ladco@interaccess.com Organization: Lake Michigan Air Directors Consortium Description: Compliance Monitoring, SIP Development, Emissions Inventory Evaluation, Source-Receptor Analyses, Source Apportionment Studies RecID: MichaelKoerber Activity Log: /PMFine/People/ActivityLogs/MichaelActivityLog1.html Tom DeFelice Last Name: DeFelice First Name: Tom E-mail Address: defelice@csd.uwm.edu Organization: UWM Description: Physico-chemical characteristics, population dynamics, radiative characteristics RecID: TomDeFelice Activity Log: /PMFine/People/ActivityLogs/TomActivityLog1.html Patrick Barickman Last Name: Barickman First Name: Patrick E-mail Address: pbarickm@deq.state.ut.us Organization: Utah Division of Air Quality Organization URL: http://www.deq.state.ut.us Description: Emissions inventory, secondary pm from biogenic voc, ozone modeling RecID: PatrickBarickman Activity Log: /PMFine/People/ActivityLogs/PatrickActivityLog1.html Luis Vasconcelos Last Name: Vasconcelos First Name: Luis E-mail Address: vasconcelos@wuchem.wustl.edu Organization: Washington University - Chemistry Organization URL: http://www.wustl.edu Description: Fine particle analysis, long-range transport, visibility. RecID: LuisVasconcelos Activity Log: /PMFine/People/ActivityLogs/LuisActivityLog1.html Miki Wayland Last Name: Wayland First Name: Miki E-mail Address: wayland.miki@epa.gov Organization: EPA Description: Data Analysis RecID: MikiWayland Activity Log: /PMFine/People/ActivityLogs/MikiActivityLog1.html Rich Poirot Last Name: Poirot First Name: Rich E-mail Address: richp@qtm.anr.state.vt.us Organization: VT Dept. of Env. Cons. Organization URL: http://www.anr.state.vt.us/dec/air/ Description: PM Fine monitoring and data analysis RecID: RichPoirot Activity Log: /PMFine/People/ActivityLogs/RichActivityLog1.html Shelly Eberly Last Name: Eberly First Name: Shelly E-mail Address: eberly.shelly@epa.gov Organization: U.S. EPA Organization URL: http://www.epa.gov Description: PMFine monitoring, quality assurance, and data analysis. RecID: ShellyEberly Activity Log: /PMFine/People/ActivityLogs/ShellyActivityLog1.html Bret Schichtel Last Name: Schichtel First Name: Bret E-mail Address: bret@mecf.wustl.edu Organization: CAPITA - Washington University Organization URL: /CAPITA Description: Ttransport processes, source-receptor relationship, and Air quality pattern and trend analysis RecID: BretSchichtel Activity Log: /PMFine/People/ActivityLogs/BretActivityLog1.html Stefan Falke Last Name: Falke First Name: Stefan Personal URL: /People/SFalke/home.html E-mail Address: stefan@mesun4.wustl.edu Organization: CAPITA, Washington University Organization URL: / Description: Fine particle spatial pattern analysis RecID: StefanFalke Activity Log: /PMFine/People/ActivityLogs/StefanActivityLog1.html