@article{ WOS:000335720100042,
Author = {Hu, Jianlin and Zhang, Hongliang and Chen, Shuhua and Ying, Qi and
   Wiedinmyer, Christine and Vandenberghe, Francois and Kleeman, Michael J.},
Title = {{Identifying PM2.5 and PM0.1 Sources for Epidemiological Studies in
   California}},
Journal = {{ENVIRONMENTAL SCIENCE \& TECHNOLOGY}},
Year = {{2014}},
Volume = {{48}},
Number = {{9}},
Pages = {{4980-4990}},
Month = {{MAY 6}},
Abstract = {{The University of California-Davis\_Primary (UCD\_P) model was applied
   to simultaneously track similar to 900 source contributions to primary
   particulate matter (PM) in California for seven continuous years
   (January 1st, 2000 to December 31st, 2006). Predicted source
   contributions to primary PM2.5 mass, PM1.8 elemental carbon (EC), PM1.8
   organic carbon (OC), PM0.1 EC, and PM0.1 OC were in general agreement
   with the results from previous source apportionment studies using
   receptor-based techniques. All sources were further subjected to a
   constraint check based on model performance for PM trace elemental
   composition. A total of 151 PM2.5 sources and 71 PM0.1 sources contained
   PM elements that were predicted at concentrations in general agreement
   with measured values at nearby monitoring sites. Significant spatial
   heterogeneity was predicted among the 151 PM2.5 and 71 PM0.1 source
   concentrations, and significantly different seasonal profiles were
   predicted for PM2.5 and PM0.1 in central California vs southern
   California. Population-weighted concentrations of PM emitted from
   various sources calculated using the UCD\_P model spatial information
   differed from the central monitor estimates by up to 77\% for primary
   PM2.5 mass and 148\% for PM2.5 EC because the central monitor
   concentration is not representative of exposure for nearby population.
   The results from the UCD\_P model provide enhanced source apportionment
   information for epidemiological studies to examine the relationship
   between health effects and concentrations of primary PM from individual
   sources.}},
Publisher = {{AMER CHEMICAL SOC}},
Address = {{1155 16TH ST, NW, WASHINGTON, DC 20036 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kleeman, MJ (Corresponding Author), Univ Calif Davis, Dept Civil \& Environm Engn, One Shields Ave, Davis, CA 95616 USA.
   Hu, Jianlin; Zhang, Hongliang; Kleeman, Michael J., Univ Calif Davis, Dept Civil \& Environm Engn, Davis, CA 95616 USA.
   Chen, Shuhua, Univ Calif Davis, Dept Land Air \& Water Resources, Davis, CA 95616 USA.
   Ying, Qi, Texas A\&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA.
   Wiedinmyer, Christine, Natl Ctr Atmospher Res, Div Atmospher Chem, Boulder, CO 80307 USA.
   Vandenberghe, Francois, Natl Ctr Atmospher Res, Res Applicat Lab, Boulder, CO 80307 USA.}},
DOI = {{10.1021/es404810z}},
ISSN = {{0013-936X}},
EISSN = {{1520-5851}},
Keywords-Plus = {{AIRBORNE PARTICULATE MATTER; AIR-POLLUTION SOURCES; REGIONAL SOURCE
   APPORTIONMENT; BALANCE SOURCE APPORTIONMENT; SECONDARY ORGANIC AEROSOL;
   PM SOURCE APPORTIONMENT; DAILY MORTALITY; QUALITY MODEL; COMPOSITION
   DISTRIBUTIONS; ANTHROPOGENIC OZONE}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{mjkleeman@ucdavis.edu}},
ResearcherID-Numbers = {{Hu, Jianlin/C-2023-2014
   Hu, Jianlin/D-7663-2018
   Zhang, Hongliang/C-2499-2012
   }},
ORCID-Numbers = {{Hu, Jianlin/0000-0001-7709-439X
   Hu, Jianlin/0000-0001-7709-439X
   Zhang, Hongliang/0000-0002-1797-2311
   Ying, Qi/0000-0002-4560-433X
   Wiedinmyer, Christine/0000-0001-9738-6592
   Chen, Shu-Hua/0000-0001-5929-1074}},
Funding-Acknowledgement = {{United States Environmental Protection AgencyUnited States Environmental
   Protection Agency {[}83386401]; United States Environmental Protection
   AgencyUnited States Environmental Protection Agency}},
Funding-Text = {{This study was funded by the United States Environmental Protection
   Agency under Grant No. 83386401. Although the research described in the
   article has been funded by the United States Environmental Protection
   Agency, it has not been subject to the Agency's required peer and policy
   review and therefore does not necessarily reflect the reviews of the
   Agency, and no official endorsement should be inferred.}},
Number-of-Cited-References = {{73}},
Times-Cited = {{54}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{109}},
Journal-ISO = {{Environ. Sci. Technol.}},
Doc-Delivery-Number = {{AG9DY}},
Unique-ID = {{WOS:000335720100042}},
DA = {{2021-12-02}},
}

{"_id":"dovaw73pG4DCjFQmY","bibbaseid":"hu-zhang-chen-ying-wiedinmyer-vandenberghe-kleeman-identifyingpm25andpm01sourcesforepidemiologicalstudiesincalifornia-2014","author_short":["Hu, J.","Zhang, H.","Chen, S.","Ying, Q.","Wiedinmyer, C.","Vandenberghe, F.","Kleeman, M. J."],"bibdata":{"bibtype":"article","type":"Article","author":[{"propositions":[],"lastnames":["Hu"],"firstnames":["Jianlin"],"suffixes":[]},{"propositions":[],"lastnames":["Zhang"],"firstnames":["Hongliang"],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["Shuhua"],"suffixes":[]},{"propositions":[],"lastnames":["Ying"],"firstnames":["Qi"],"suffixes":[]},{"propositions":[],"lastnames":["Wiedinmyer"],"firstnames":["Christine"],"suffixes":[]},{"propositions":[],"lastnames":["Vandenberghe"],"firstnames":["Francois"],"suffixes":[]},{"propositions":[],"lastnames":["Kleeman"],"firstnames":["Michael","J."],"suffixes":[]}],"title":"Identifying PM2.5 and PM0.1 Sources for Epidemiological Studies in California","journal":"ENVIRONMENTAL SCIENCE & TECHNOLOGY","year":"2014","volume":"48","number":"9","pages":"4980-4990","month":"MAY 6","abstract":"The University of California-Davis_Primary (UCD_P) model was applied to simultaneously track similar to 900 source contributions to primary particulate matter (PM) in California for seven continuous years (January 1st, 2000 to December 31st, 2006). Predicted source contributions to primary PM2.5 mass, PM1.8 elemental carbon (EC), PM1.8 organic carbon (OC), PM0.1 EC, and PM0.1 OC were in general agreement with the results from previous source apportionment studies using receptor-based techniques. All sources were further subjected to a constraint check based on model performance for PM trace elemental composition. A total of 151 PM2.5 sources and 71 PM0.1 sources contained PM elements that were predicted at concentrations in general agreement with measured values at nearby monitoring sites. Significant spatial heterogeneity was predicted among the 151 PM2.5 and 71 PM0.1 source concentrations, and significantly different seasonal profiles were predicted for PM2.5 and PM0.1 in central California vs southern California. Population-weighted concentrations of PM emitted from various sources calculated using the UCD_P model spatial information differed from the central monitor estimates by up to 77% for primary PM2.5 mass and 148% for PM2.5 EC because the central monitor concentration is not representative of exposure for nearby population. The results from the UCD_P model provide enhanced source apportionment information for epidemiological studies to examine the relationship between health effects and concentrations of primary PM from individual sources.","publisher":"AMER CHEMICAL SOC","address":"1155 16TH ST, NW, WASHINGTON, DC 20036 USA","language":"English","affiliation":"Kleeman, MJ (Corresponding Author), Univ Calif Davis, Dept Civil & Environm Engn, One Shields Ave, Davis, CA 95616 USA. Hu, Jianlin; Zhang, Hongliang; Kleeman, Michael J., Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA. Chen, Shuhua, Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA. Ying, Qi, Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA. Wiedinmyer, Christine, Natl Ctr Atmospher Res, Div Atmospher Chem, Boulder, CO 80307 USA. Vandenberghe, Francois, Natl Ctr Atmospher Res, Res Applicat Lab, Boulder, CO 80307 USA.","doi":"10.1021/es404810z","issn":"0013-936X","eissn":"1520-5851","keywords-plus":"AIRBORNE PARTICULATE MATTER; AIR-POLLUTION SOURCES; REGIONAL SOURCE APPORTIONMENT; BALANCE SOURCE APPORTIONMENT; SECONDARY ORGANIC AEROSOL; PM SOURCE APPORTIONMENT; DAILY MORTALITY; QUALITY MODEL; COMPOSITION DISTRIBUTIONS; ANTHROPOGENIC OZONE","research-areas":"Engineering; Environmental Sciences & Ecology","web-of-science-categories":"Engineering, Environmental; Environmental Sciences","author-email":"mjkleeman@ucdavis.edu","researcherid-numbers":"Hu, Jianlin/C-2023-2014 Hu, Jianlin/D-7663-2018 Zhang, Hongliang/C-2499-2012 ","orcid-numbers":"Hu, Jianlin/0000-0001-7709-439X Hu, Jianlin/0000-0001-7709-439X Zhang, Hongliang/0000-0002-1797-2311 Ying, Qi/0000-0002-4560-433X Wiedinmyer, Christine/0000-0001-9738-6592 Chen, Shu-Hua/0000-0001-5929-1074","funding-acknowledgement":"United States Environmental Protection AgencyUnited States Environmental Protection Agency [83386401]; United States Environmental Protection AgencyUnited States Environmental Protection Agency","funding-text":"This study was funded by the United States Environmental Protection Agency under Grant No. 83386401. Although the research described in the article has been funded by the United States Environmental Protection Agency, it has not been subject to the Agency's required peer and policy review and therefore does not necessarily reflect the reviews of the Agency, and no official endorsement should be inferred.","number-of-cited-references":"73","times-cited":"54","usage-count-last-180-days":"2","usage-count-since-2013":"109","journal-iso":"Environ. Sci. Technol.","doc-delivery-number":"AG9DY","unique-id":"WOS:000335720100042","da":"2021-12-02","bibtex":"@article{ WOS:000335720100042,\nAuthor = {Hu, Jianlin and Zhang, Hongliang and Chen, Shuhua and Ying, Qi and\n Wiedinmyer, Christine and Vandenberghe, Francois and Kleeman, Michael J.},\nTitle = {{Identifying PM2.5 and PM0.1 Sources for Epidemiological Studies in\n California}},\nJournal = {{ENVIRONMENTAL SCIENCE \\& TECHNOLOGY}},\nYear = {{2014}},\nVolume = {{48}},\nNumber = {{9}},\nPages = {{4980-4990}},\nMonth = {{MAY 6}},\nAbstract = {{The University of California-Davis\\_Primary (UCD\\_P) model was applied\n to simultaneously track similar to 900 source contributions to primary\n particulate matter (PM) in California for seven continuous years\n (January 1st, 2000 to December 31st, 2006). Predicted source\n contributions to primary PM2.5 mass, PM1.8 elemental carbon (EC), PM1.8\n organic carbon (OC), PM0.1 EC, and PM0.1 OC were in general agreement\n with the results from previous source apportionment studies using\n receptor-based techniques. All sources were further subjected to a\n constraint check based on model performance for PM trace elemental\n composition. A total of 151 PM2.5 sources and 71 PM0.1 sources contained\n PM elements that were predicted at concentrations in general agreement\n with measured values at nearby monitoring sites. Significant spatial\n heterogeneity was predicted among the 151 PM2.5 and 71 PM0.1 source\n concentrations, and significantly different seasonal profiles were\n predicted for PM2.5 and PM0.1 in central California vs southern\n California. Population-weighted concentrations of PM emitted from\n various sources calculated using the UCD\\_P model spatial information\n differed from the central monitor estimates by up to 77\\% for primary\n PM2.5 mass and 148\\% for PM2.5 EC because the central monitor\n concentration is not representative of exposure for nearby population.\n The results from the UCD\\_P model provide enhanced source apportionment\n information for epidemiological studies to examine the relationship\n between health effects and concentrations of primary PM from individual\n sources.}},\nPublisher = {{AMER CHEMICAL SOC}},\nAddress = {{1155 16TH ST, NW, WASHINGTON, DC 20036 USA}},\nType = {{Article}},\nLanguage = {{English}},\nAffiliation = {{Kleeman, MJ (Corresponding Author), Univ Calif Davis, Dept Civil \\& Environm Engn, One Shields Ave, Davis, CA 95616 USA.\n Hu, Jianlin; Zhang, Hongliang; Kleeman, Michael J., Univ Calif Davis, Dept Civil \\& Environm Engn, Davis, CA 95616 USA.\n Chen, Shuhua, Univ Calif Davis, Dept Land Air \\& Water Resources, Davis, CA 95616 USA.\n Ying, Qi, Texas A\\&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA.\n Wiedinmyer, Christine, Natl Ctr Atmospher Res, Div Atmospher Chem, Boulder, CO 80307 USA.\n Vandenberghe, Francois, Natl Ctr Atmospher Res, Res Applicat Lab, Boulder, CO 80307 USA.}},\nDOI = {{10.1021/es404810z}},\nISSN = {{0013-936X}},\nEISSN = {{1520-5851}},\nKeywords-Plus = {{AIRBORNE PARTICULATE MATTER; AIR-POLLUTION SOURCES; REGIONAL SOURCE\n APPORTIONMENT; BALANCE SOURCE APPORTIONMENT; SECONDARY ORGANIC AEROSOL;\n PM SOURCE APPORTIONMENT; DAILY MORTALITY; QUALITY MODEL; COMPOSITION\n DISTRIBUTIONS; ANTHROPOGENIC OZONE}},\nResearch-Areas = {{Engineering; Environmental Sciences \\& Ecology}},\nWeb-of-Science-Categories = {{Engineering, Environmental; Environmental Sciences}},\nAuthor-Email = {{mjkleeman@ucdavis.edu}},\nResearcherID-Numbers = {{Hu, Jianlin/C-2023-2014\n Hu, Jianlin/D-7663-2018\n Zhang, Hongliang/C-2499-2012\n }},\nORCID-Numbers = {{Hu, Jianlin/0000-0001-7709-439X\n Hu, Jianlin/0000-0001-7709-439X\n Zhang, Hongliang/0000-0002-1797-2311\n Ying, Qi/0000-0002-4560-433X\n Wiedinmyer, Christine/0000-0001-9738-6592\n Chen, Shu-Hua/0000-0001-5929-1074}},\nFunding-Acknowledgement = {{United States Environmental Protection AgencyUnited States Environmental\n Protection Agency {[}83386401]; United States Environmental Protection\n AgencyUnited States Environmental Protection Agency}},\nFunding-Text = {{This study was funded by the United States Environmental Protection\n Agency under Grant No. 83386401. Although the research described in the\n article has been funded by the United States Environmental Protection\n Agency, it has not been subject to the Agency's required peer and policy\n review and therefore does not necessarily reflect the reviews of the\n Agency, and no official endorsement should be inferred.}},\nNumber-of-Cited-References = {{73}},\nTimes-Cited = {{54}},\nUsage-Count-Last-180-days = {{2}},\nUsage-Count-Since-2013 = {{109}},\nJournal-ISO = {{Environ. Sci. Technol.}},\nDoc-Delivery-Number = {{AG9DY}},\nUnique-ID = {{WOS:000335720100042}},\nDA = {{2021-12-02}},\n}\n\n","author_short":["Hu, J.","Zhang, H.","Chen, S.","Ying, Q.","Wiedinmyer, C.","Vandenberghe, F.","Kleeman, M. J."],"key":"WOS:000335720100042","id":"WOS:000335720100042","bibbaseid":"hu-zhang-chen-ying-wiedinmyer-vandenberghe-kleeman-identifyingpm25andpm01sourcesforepidemiologicalstudiesincalifornia-2014","role":"author","urls":{},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"http://yingqi95616.ddns.net:8001/publicationlist.bib","dataSources":["kTLQ96xxQwQovcx6r","SN9t6exrr8GS3PxiX"],"keywords":[],"search_terms":["identifying","pm2","pm0","sources","epidemiological","studies","california","hu","zhang","chen","ying","wiedinmyer","vandenberghe","kleeman"],"title":"Identifying PM2.5 and PM0.1 Sources for Epidemiological Studies in California","year":2014}