TY - JOUR
T1 - An Integrated Source Apportionment Methodology and Its Application over the Yangtze River Delta Region, China
AU - Li, Li
AU - An, Jingyu
AU - Zhou, Min
AU - Qiao, Liping
AU - Zhu, Shuhui
AU - Yan, Rusha
AU - Ooi, Chel Gee
AU - Wang, Hongli
AU - Huang, Cheng
AU - Huang, Ling
AU - Tao, Shikang
AU - Yu, Jianzhen
AU - Chan, Andy
AU - Wang, Yangjun
AU - Feng, Jialiang
AU - Chen, Changhong
N1 - Publisher Copyright:
Copyright © 2018 American Chemical Society.
PY - 2018/12/18
Y1 - 2018/12/18
N2 - 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.
AB - 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.
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000454183400021
UR - https://openalex.org/W2895349133
UR - https://www.scopus.com/pages/publications/85054646834
U2 - 10.1021/acs.est.8b01211
DO - 10.1021/acs.est.8b01211
M3 - Journal Article
C2 - 30288976
SN - 0013-936X
VL - 52
SP - 14216
EP - 14227
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 24
ER -
