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Data · dataset · 2021

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

Listed in UBIRA eData

Atmospheric particulate matter (PM) is composed of various chemical components and can affect air quality, visibility, and ecosystems.

Description

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.

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Inferred from text
Pollution and contamination 69%
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
UBIRA eDataoai:edata.bham.ac.uk:72111 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4105enrichment · edata bham ac uktaxonomy-embedding@1.0.0title+keywords+description (69%)
concepts[field].local:field:earth-environmentalmapping · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
descriptionsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/description
license_textsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
publication_datesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
titlesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/title