Affiliations 

  • 1 School of Environmental and Chemical Engineering , Shanghai University , Shanghai , 200444 , China
  • 2 State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex , Shanghai Academy of Environmental Sciences , Shanghai , 200233 , China
  • 3 Department of Civil Engineering , University of Nottingham Malaysia , Semenyih 43500 , Selangor , Malaysia
  • 4 Division of Environment , Hong Kong University of Science & Technology , Hong Kong , China
Environ. Sci. Technol., 2018 Dec 18;52(24):14216-14227.
PMID: 30288976 DOI: 10.1021/acs.est.8b01211

Abstract

An integrated source apportionment methodology is developed by amalgamating the receptor-oriented model (ROM) and source-oriented numerical simulations (SOM) together to eliminate the weaknesses of individual SA methods. This approach attempts to apportion and dissect the PM2.5 sources in the Yangtze River Delta region during winter. First, three ROM models (CMB, PMF, ME2) are applied and compared for the preliminary SA results, with information from PM2.5 sampling and lab analysis during the winter seasons. The detailed source category contribution of SOM to PM2.5 is further simulated using the WRF-CAMx model. The two pieces of information from both ROM and SOM are then stitched together to give a comprehensive information on the PM2.5 sources over the region. With the integrated approach, the detailed contributing sources of the ambient PM2.5 at different receptors including rural and urban, coastal and in-land, northern and southern receptors are analyzed. The results are compared with previous data and shows good agreement. This integrative approach is more comprehensive and is able to produce a more profound and detailed understanding between the sources and receptors, compared with single models.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.