Literature DB >> 25562937

U.S. national PM2.5 Chemical Speciation Monitoring Networks-CSN and IMPROVE: description of networks.

Paul A Solomon1, Dennis Crumpler, James B Flanagan, R K M Jayanty, Ed E Rickman, Charles E McDade.   

Abstract

The US. EnvironmentalProtection Agency (EPA) initiated the national PM2.5 Chemical Speciation Monitoring Network (CSN) in 2000 to support evaluation of long-term trends and to better quantify the impact of sources on particulate matter (PM) concentrations in the size range below 2.5 μm aerodynamic diameter (PM2.5; fine particles). The network peaked at more than 260 sites in 2005. In response to the 1999 Regional Haze Rule and the need to better understand the regional transport of PM, EPA also augmented the long-existing Interagency Monitoring of Protected Visual Environments (IMPROVE) visibility monitoring network in 2000, adding nearly 100 additional IMPROVE sites in rural Class 1 Areas across the country. Both networks measure the major chemical components of PM2.5 using historically accepted filter-based methods. Components measured by both networks include major anions, carbonaceous material, and a series of trace elements. CSN also measures ammonium and other cations directly, whereas IMPROVE estimates ammonium assuming complete neutralization of the measured sulfate and nitrate. IMPROVE also measures chloride and nitrite. In general, the field and laboratory approaches used in the two networks are similar; however, there are numerous, often subtle differences in sampling and chemical analysis methods, shipping, and quality control practices. These could potentially affect merging the two data sets when used to understand better the impact of sources on PM concentrations and the regional nature and long-range transport of PM2zs. This paper describes, for the first time in the peer-reviewed literature, these networks as they have existed since 2000, outlines differences infield and laboratory approaches, provides a summary of the analytical parameters that address data uncertainty, and summarizes major network changes since the inception of CSN. Implications: Two long-term chemical speciation particle monitoring networks have operated simultaneously in the United States since 2001, when the EPA began regular operations of its PM2.5 Chemical Speciation Monitoring Network (IMPROVE began in 1988). These networks use similar field sampling and analytical methods, but there are numerous, often subtle differences in equipment and methodologies that can affect the results. This paper describes these networks since 20000 (inception of CSN) and their differences, and summarizes the analytical parameters that address data uncertainty, providing researches and policymakers with background information they may need (e.g., for 2018 PM2.5 designation and State Implementation Plan process; McCarthy, 2013) to assess results from each network and decide how these data sets can be mutually employed for enhanced analyses. Changes in CSN and IMPROVE that have occurred over the years also are described.

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Year:  2014        PMID: 25562937     DOI: 10.1080/10962247.2014.956904

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  31 in total

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Authors:  Jun-Wei Xu; Randall V Martin; Barron H Henderson; Jun Meng; Burak Oztaner; Jenny L Hand; Amir Hakami; Madeleine Strum; Sharon B Phillips
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2.  Demographic Inequities in Health Outcomes and Air Pollution Exposure in the Atlanta Area and its Relationship to Urban Infrastructure.

Authors:  Joseph L Servadio; Abiola S Lawal; Tate Davis; Josephine Bates; Armistead G Russell; Anu Ramaswami; Matteo Convertino; Nisha Botchwey
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3.  The impact of air pollutant deposition on solar energy system efficiency: An approach to estimate PV soiling effects with the Community Multiscale Air Quality (CMAQ) model.

Authors:  Luxi Zhou; Donna B Schwede; K Wyat Appel; Michael J Mangiante; David C Wong; Sergey L Napelenok; Pai-Yei Whung; Banglin Zhang
Journal:  Sci Total Environ       Date:  2018-09-17       Impact factor: 7.963

4.  Recent changes in winter PM2.5 contributions from wood smoke, motor vehicles, and other sources in the Northwest U.S.

Authors:  Robert A Kotchenruther
Journal:  Atmos Environ (1994)       Date:  2020-09-15       Impact factor: 4.798

5.  Sources of pollution and interrelationships between aerosol and precipitation chemistry at a central California site.

Authors:  Hossein Dadashazar; Lin Ma; Armin Sorooshian
Journal:  Sci Total Environ       Date:  2018-10-08       Impact factor: 7.963

6.  Assessing PM2.5 Model Performance for the Conterminous U.S. with Comparison to Model Performance Statistics from 2007-2015.

Authors:  James T Kelly; Shannon N Koplitz; Kirk R Baker; Amara L Holder; Havala O T Pye; Benjamin N Murphy; Jesse O Bash; Barron H Henderson; Norm Possiel; Heather Simon; Alison M Eyth; Carey Jang; Sharon Phillips; Brian Timin
Journal:  Atmos Environ (1994)       Date:  2019       Impact factor: 4.798

7.  The Acidity of Atmospheric Particles and Clouds.

Authors:  Havala O T Pye; Athanasios Nenes; Becky Alexander; Andrew P Ault; Mary C Barth; Simon L Clegg; Jeffrey L Collett; Kathleen M Fahey; Christopher J Hennigan; Hartmut Herrmann; Maria Kanakidou; James T Kelly; I-Ting Ku; V Faye McNeill; Nicole Riemer; Thomas Schaefer; Guoliang Shi; Andreas Tilgner; John T Walker; Tao Wang; Rodney Weber; Jia Xing; Rahul A Zaveri; Andreas Zuend
Journal:  Atmos Chem Phys       Date:  2020-04-24       Impact factor: 6.133

8.  Triggering of cardiovascular hospital admissions by source specific fine particle concentrations in urban centers of New York State.

Authors:  David Q Rich; Wangjian Zhang; Shao Lin; Stefania Squizzato; Sally W Thurston; Edwin van Wijngaarden; Daniel Croft; Mauro Masiol; Philip K Hopke
Journal:  Environ Int       Date:  2019-02-28       Impact factor: 9.621

9.  Chemical feedbacks weaken the wintertime response of particulate sulfate and nitrate to emissions reductions over the eastern United States.

Authors:  Viral Shah; Lyatt Jaeglé; Joel A Thornton; Felipe D Lopez-Hilfiker; Ben H Lee; Jason C Schroder; Pedro Campuzano-Jost; Jose L Jimenez; Hongyu Guo; Amy P Sullivan; Rodney J Weber; Jaime R Green; Marc N Fiddler; Solomon Bililign; Teresa L Campos; Meghan Stell; Andrew J Weinheimer; Denise D Montzka; Steven S Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-23       Impact factor: 11.205

10.  Sources, frequency, and chemical nature of dust events impacting the United States East Coast.

Authors:  Abdulmonam M Aldhaif; David H Lopez; Hossein Dadashazar; Armin Sorooshian
Journal:  Atmos Environ (1994)       Date:  2020-04-05       Impact factor: 4.798

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