Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements
Aircraft measurements made downwind from specific coal fired power plants during the 2013 Southeast Nexus field campaign provide a unique opportunity to evaluate single source photochemical model predictions of both O3 and secondary PM2.5 species. The model did well at predicting downwind plume plac...
Gespeichert in:
Veröffentlicht in: | Environmental science & technology 2017-04, Vol.51 (7), p.3833-3842 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 3842 |
---|---|
container_issue | 7 |
container_start_page | 3833 |
container_title | Environmental science & technology |
container_volume | 51 |
creator | Baker, Kirk R Woody, Matthew C |
description | Aircraft measurements made downwind from specific coal fired power plants during the 2013 Southeast Nexus field campaign provide a unique opportunity to evaluate single source photochemical model predictions of both O3 and secondary PM2.5 species. The model did well at predicting downwind plume placement. The model shows similar patterns of an increasing fraction of PM2.5 sulfate ion to the sum of SO2 and PM2.5 sulfate ion by distance from the source compared with ambient based estimates. The model was less consistent in capturing downwind ambient based trends in conversion of NO X to NO Y from these sources. Source sensitivity approaches capture near-source O3 titration by fresh NO emissions, in particular subgrid plume treatment. However, capturing this near-source chemical feature did not translate into better downwind peak estimates of single source O3 impacts. The model estimated O3 production from these sources but often was lower than ambient based source production. The downwind transect ambient measurements, in particular secondary PM2.5 and O3, have some level of contribution from other sources which makes direct comparison with model source contribution challenging. Model source attribution results suggest contribution to secondary pollutants from multiple sources even where primary pollutants indicate the presence of a single source. |
doi_str_mv | 10.1021/acs.est.6b05069 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6145072</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1873403315</sourcerecordid><originalsourceid>FETCH-LOGICAL-a457t-d13e12e28e6d75d8c271572d130dd6d59bb9f378045bbb46ac941811d1699c03</originalsourceid><addsrcrecordid>eNp1kd1rFDEUxYModlt99k0Cvggy23xOkhehLFsttCpshb6FTHK3nTIz2SYzSvvXm3XX-gE-Xcj9nXNz70HoFSVzShg9dj7PIY_zuiGS1OYJmlHJSCW1pE_RjBDKK8PrqwN0mPMtIYRxop-jA6aZ0MSoGfp-kjPk3A7X-CIG6PDixiXnR0jtgxvbOOC4xqvS7gCv4pR8KeDjEFy6x19i102jG0Z81m-KKOOvP51YmYtXy0_LK3zaQhfwapzCPb4Al6cEPQxjfoGerV2X4eW-HqHL0-Xl4mN1_vnD2eLkvHJCqrEKlANlwDTUQcmgPVNUKlaeSQh1kKZpzJorTYRsmkbUzhtBNaWB1sZ4wo_Q-53tZmp6CL6MTq6zm9T2ZQEbXWv_7gztjb2O32xNhSSKFYO3e4MU76Zyatu32UPXuQHilC3VigvCOZUFffMPelsONpTtCmWMEEwoU6jjHeVTzDnB-vEzlNhtprZkarfqfaZF8frPHR75XyEW4N0O2Cp_z_yP3Q-jq62D</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1899442479</pqid></control><display><type>article</type><title>Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements</title><source>MEDLINE</source><source>American Chemical Society Journals</source><creator>Baker, Kirk R ; Woody, Matthew C</creator><creatorcontrib>Baker, Kirk R ; Woody, Matthew C</creatorcontrib><description>Aircraft measurements made downwind from specific coal fired power plants during the 2013 Southeast Nexus field campaign provide a unique opportunity to evaluate single source photochemical model predictions of both O3 and secondary PM2.5 species. The model did well at predicting downwind plume placement. The model shows similar patterns of an increasing fraction of PM2.5 sulfate ion to the sum of SO2 and PM2.5 sulfate ion by distance from the source compared with ambient based estimates. The model was less consistent in capturing downwind ambient based trends in conversion of NO X to NO Y from these sources. Source sensitivity approaches capture near-source O3 titration by fresh NO emissions, in particular subgrid plume treatment. However, capturing this near-source chemical feature did not translate into better downwind peak estimates of single source O3 impacts. The model estimated O3 production from these sources but often was lower than ambient based source production. The downwind transect ambient measurements, in particular secondary PM2.5 and O3, have some level of contribution from other sources which makes direct comparison with model source contribution challenging. Model source attribution results suggest contribution to secondary pollutants from multiple sources even where primary pollutants indicate the presence of a single source.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/acs.est.6b05069</identifier><identifier>PMID: 28248097</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Air Pollutants ; Aircraft ; Coal-fired power plants ; Electric power generation ; Electric power plants ; Emissions ; Environmental impact ; Environmental Monitoring ; Impact analysis ; Mathematical models ; Measurement ; Models, Theoretical ; Photochemicals ; Photochemistry ; Pollutants ; Pollution sources ; Power plants ; Predictions ; Sulfates ; Sulfur dioxide ; Titration</subject><ispartof>Environmental science & technology, 2017-04, Vol.51 (7), p.3833-3842</ispartof><rights>Copyright © 2017 U.S. Government</rights><rights>Copyright American Chemical Society Apr 4, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a457t-d13e12e28e6d75d8c271572d130dd6d59bb9f378045bbb46ac941811d1699c03</citedby><cites>FETCH-LOGICAL-a457t-d13e12e28e6d75d8c271572d130dd6d59bb9f378045bbb46ac941811d1699c03</cites><orcidid>0000-0003-4417-6799</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.est.6b05069$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.est.6b05069$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>230,315,781,785,886,2766,27080,27928,27929,56742,56792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28248097$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baker, Kirk R</creatorcontrib><creatorcontrib>Woody, Matthew C</creatorcontrib><title>Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>Aircraft measurements made downwind from specific coal fired power plants during the 2013 Southeast Nexus field campaign provide a unique opportunity to evaluate single source photochemical model predictions of both O3 and secondary PM2.5 species. The model did well at predicting downwind plume placement. The model shows similar patterns of an increasing fraction of PM2.5 sulfate ion to the sum of SO2 and PM2.5 sulfate ion by distance from the source compared with ambient based estimates. The model was less consistent in capturing downwind ambient based trends in conversion of NO X to NO Y from these sources. Source sensitivity approaches capture near-source O3 titration by fresh NO emissions, in particular subgrid plume treatment. However, capturing this near-source chemical feature did not translate into better downwind peak estimates of single source O3 impacts. The model estimated O3 production from these sources but often was lower than ambient based source production. The downwind transect ambient measurements, in particular secondary PM2.5 and O3, have some level of contribution from other sources which makes direct comparison with model source contribution challenging. Model source attribution results suggest contribution to secondary pollutants from multiple sources even where primary pollutants indicate the presence of a single source.</description><subject>Air Pollutants</subject><subject>Aircraft</subject><subject>Coal-fired power plants</subject><subject>Electric power generation</subject><subject>Electric power plants</subject><subject>Emissions</subject><subject>Environmental impact</subject><subject>Environmental Monitoring</subject><subject>Impact analysis</subject><subject>Mathematical models</subject><subject>Measurement</subject><subject>Models, Theoretical</subject><subject>Photochemicals</subject><subject>Photochemistry</subject><subject>Pollutants</subject><subject>Pollution sources</subject><subject>Power plants</subject><subject>Predictions</subject><subject>Sulfates</subject><subject>Sulfur dioxide</subject><subject>Titration</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kd1rFDEUxYModlt99k0Cvggy23xOkhehLFsttCpshb6FTHK3nTIz2SYzSvvXm3XX-gE-Xcj9nXNz70HoFSVzShg9dj7PIY_zuiGS1OYJmlHJSCW1pE_RjBDKK8PrqwN0mPMtIYRxop-jA6aZ0MSoGfp-kjPk3A7X-CIG6PDixiXnR0jtgxvbOOC4xqvS7gCv4pR8KeDjEFy6x19i102jG0Z81m-KKOOvP51YmYtXy0_LK3zaQhfwapzCPb4Al6cEPQxjfoGerV2X4eW-HqHL0-Xl4mN1_vnD2eLkvHJCqrEKlANlwDTUQcmgPVNUKlaeSQh1kKZpzJorTYRsmkbUzhtBNaWB1sZ4wo_Q-53tZmp6CL6MTq6zm9T2ZQEbXWv_7gztjb2O32xNhSSKFYO3e4MU76Zyatu32UPXuQHilC3VigvCOZUFffMPelsONpTtCmWMEEwoU6jjHeVTzDnB-vEzlNhtprZkarfqfaZF8frPHR75XyEW4N0O2Cp_z_yP3Q-jq62D</recordid><startdate>20170404</startdate><enddate>20170404</enddate><creator>Baker, Kirk R</creator><creator>Woody, Matthew C</creator><general>American Chemical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4417-6799</orcidid></search><sort><creationdate>20170404</creationdate><title>Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements</title><author>Baker, Kirk R ; Woody, Matthew C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a457t-d13e12e28e6d75d8c271572d130dd6d59bb9f378045bbb46ac941811d1699c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Air Pollutants</topic><topic>Aircraft</topic><topic>Coal-fired power plants</topic><topic>Electric power generation</topic><topic>Electric power plants</topic><topic>Emissions</topic><topic>Environmental impact</topic><topic>Environmental Monitoring</topic><topic>Impact analysis</topic><topic>Mathematical models</topic><topic>Measurement</topic><topic>Models, Theoretical</topic><topic>Photochemicals</topic><topic>Photochemistry</topic><topic>Pollutants</topic><topic>Pollution sources</topic><topic>Power plants</topic><topic>Predictions</topic><topic>Sulfates</topic><topic>Sulfur dioxide</topic><topic>Titration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baker, Kirk R</creatorcontrib><creatorcontrib>Woody, Matthew C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baker, Kirk R</au><au>Woody, Matthew C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ. Sci. Technol</addtitle><date>2017-04-04</date><risdate>2017</risdate><volume>51</volume><issue>7</issue><spage>3833</spage><epage>3842</epage><pages>3833-3842</pages><issn>0013-936X</issn><eissn>1520-5851</eissn><abstract>Aircraft measurements made downwind from specific coal fired power plants during the 2013 Southeast Nexus field campaign provide a unique opportunity to evaluate single source photochemical model predictions of both O3 and secondary PM2.5 species. The model did well at predicting downwind plume placement. The model shows similar patterns of an increasing fraction of PM2.5 sulfate ion to the sum of SO2 and PM2.5 sulfate ion by distance from the source compared with ambient based estimates. The model was less consistent in capturing downwind ambient based trends in conversion of NO X to NO Y from these sources. Source sensitivity approaches capture near-source O3 titration by fresh NO emissions, in particular subgrid plume treatment. However, capturing this near-source chemical feature did not translate into better downwind peak estimates of single source O3 impacts. The model estimated O3 production from these sources but often was lower than ambient based source production. The downwind transect ambient measurements, in particular secondary PM2.5 and O3, have some level of contribution from other sources which makes direct comparison with model source contribution challenging. Model source attribution results suggest contribution to secondary pollutants from multiple sources even where primary pollutants indicate the presence of a single source.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>28248097</pmid><doi>10.1021/acs.est.6b05069</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4417-6799</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0013-936X |
ispartof | Environmental science & technology, 2017-04, Vol.51 (7), p.3833-3842 |
issn | 0013-936X 1520-5851 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6145072 |
source | MEDLINE; American Chemical Society Journals |
subjects | Air Pollutants Aircraft Coal-fired power plants Electric power generation Electric power plants Emissions Environmental impact Environmental Monitoring Impact analysis Mathematical models Measurement Models, Theoretical Photochemicals Photochemistry Pollutants Pollution sources Power plants Predictions Sulfates Sulfur dioxide Titration |
title | Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T06%3A29%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20Model%20Characterization%20of%20Single%20Source%20Secondary%20Pollutant%20Impacts%20Using%202013%20SENEX%20Field%20Study%20Measurements&rft.jtitle=Environmental%20science%20&%20technology&rft.au=Baker,%20Kirk%20R&rft.date=2017-04-04&rft.volume=51&rft.issue=7&rft.spage=3833&rft.epage=3842&rft.pages=3833-3842&rft.issn=0013-936X&rft.eissn=1520-5851&rft_id=info:doi/10.1021/acs.est.6b05069&rft_dat=%3Cproquest_pubme%3E1873403315%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1899442479&rft_id=info:pmid/28248097&rfr_iscdi=true |