Research data supporting ”Insight into PM2.5 sources by applying Positive Matrix factorization (PMF) at an urban and rural site of Beijing”

721 15 3475 3 17614 document 3475 Dataset_PM2.5 Sources by Applying PMF model.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet ee5b28e29d1b7b402612badd4f5c2d4a MD5 69210 2021-09-13 14:47:11 http://edata.bham.ac.uk/721/1/Dataset_PM2.5%20Sources%20by%20Applying%20PMF%20model.xlsx 721 1 2 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet spreadsheet public cc_by_4

Dataset_PM2.5 Sources by Applying PMF model.xlsx

data 3477 4 17644 document 3477 Readme (721).txt text/plain 124a02a473a30f80979dcdb7359a1c35 MD5 831 2021-09-17 13:44:38 http://edata.bham.ac.uk/721/2/Readme%20%28721%29.txt 721 2 1 text/plain text public cc_by_4

Readme (721).txt

readme 3516 1 17983 document 3516 indexcodes.txt text/plain 1b3cc94efb4506068c67df261ec30db4 MD5 555 2021-10-14 09:51:40 http://edata.bham.ac.uk/721/3/indexcodes.txt 721 3 3 text/plain other Generate index codes conversion from text to indexcodes public

indexcodes.txt

data http://eprints.org/relation/isVersionOf http://edata.bham.ac.uk/id/document/3477 http://eprints.org/relation/isVolatileVersionOf http://edata.bham.ac.uk/id/document/3477 http://eprints.org/relation/isIndexCodesVersionOf http://edata.bham.ac.uk/id/document/3477 archive 84 disk0/00/00/07/21 2021-09-17 13:49:28 2024-03-27 09:26:46 2021-09-17 13:49:28 data_collection show Harrison Roy M. r.m.harrison@bham.ac.uk 0000-0002-2684-5226 Srivastava Deepchandra D.Srivastava@bham.ac.uk 0000-0001-8010-7024 Research data supporting ”Insight into PM2.5 sources by applying Positive Matrix factorization (PMF) at an urban and rural site of Beijing” 10col_life Source apportionment; PM¬2.5; Beijing; PMF; CMB; online AMS; offline AMS Atmospheric particulate matter (PM) is composed of various chemical components and can affect air quality, visibility, and ecosystems. Several studies have indicated that many adverse health outcomes, such as respiratory and cardiovascular morbidity and mortality, are related to long-term exposure to PM. This study was designed to perform the source apportionment of PM2.5 by applying positive matrix factorization (PMF) on data collected at an urban (Institute of Atmospheric Physics - IAP) and a rural site (Pinggu-PG) in Beijing as part of the Atmospheric Pollution and Human Health in a Chinese megacity (APHH-Beijing) field campaigns. 2021-09-17 published University of Birmingham https://doi.org/10.25500/edata.bham.00000721 Dataset research-data@contacts.bham.ac.uk School of Geography, Earth and Environmental Sciences nerc NE/N007190/1 NE/R005281/1 NE/S006699/1 yes yes yes TRUE PI Harrison Roy M. r.m.harrison@bham.ac.uk Insight into PM2.5 Sources by Applying Positive Matrix Factorization (PMF) at an Urban and Rural Site of Beijing pub https://doi.org/10.5194/acp-21-14703-2021 IsSupplementTo