Matches in SemOpenAlex for { <https://semopenalex.org/work/W788207894> ?p ?o ?g. }
- W788207894 endingPage "429" @default.
- W788207894 startingPage "415" @default.
- W788207894 abstract "Abstract An extremely high PM 2.5 pollution episode occurred over the eastern China in January 2013. In this paper, the particulate matter source apportionment technology (PSAT) method coupled within the Comprehensive air quality model with extensions (CAMx) is applied to study the source contributions to PM 2.5 and its major components at six receptors (Urban Shanghai, Chongming, Dianshan Lake, Urban Suzhou, Hangzhou and Zhoushan) in the Yangtze River Delta (YRD) region. Contributions from 4 source areas (including Shanghai, South Jiangsu, North Zhejiang and Super-region) and 9 emission sectors (including power plants, industrial boilers and kilns, industrial processing, mobile source, residential, volatile emissions, dust, agriculture and biogenic emissions) to PM 2.5 and its major components (sulfate, nitrate, ammonia, organic carbon and elemental carbon) at the six receptors in the YRD region are quantified. Results show that accumulation of local pollution was the largest contributor during this air pollution episode in urban Shanghai (55%) and Suzhou (46%), followed by long-range transport (37% contribution to Shanghai and 44% to Suzhou). Super-regional emissions play an important role in PM 2.5 formation at Hangzhou (48%) and Zhoushan site (68%). Among the emission sectors contributing to the high pollution episode, the major source categories include industrial processing (with contributions ranging between 12.7 and 38.7% at different receptors), combustion source (21.7–37.3%), mobile source (7.5–17.7%) and fugitive dust (8.4–27.3%). Agricultural contribution is also very significant at Zhoushan site (24.5%). In terms of the PM 2.5 major components, it is found that industrial boilers and kilns are the major source contributor to sulfate and nitrate. Volatile emission source and agriculture are the major contributors to ammonia; transport is the largest contributor to elemental carbon. Industrial processing, volatile emissions and mobile source are the most significant contributors to organic carbon. Results show that the Yangtze River Delta region should focus on the joint pollution control of industrial processing, combustion emissions, mobile source emissions, and fugitive dust. Regional transport of air pollution among the cities are prominent, and the implementation of regional joint prevention and control of air pollution will help to alleviate fine particulate matter concentrations under heavy pollution case significantly." @default.
- W788207894 created "2016-06-24" @default.
- W788207894 creator A5015440437 @default.
- W788207894 creator A5016487740 @default.
- W788207894 creator A5019866949 @default.
- W788207894 creator A5022155096 @default.
- W788207894 creator A5025483093 @default.
- W788207894 creator A5028777724 @default.
- W788207894 creator A5039943970 @default.
- W788207894 creator A5042568222 @default.
- W788207894 creator A5044758674 @default.
- W788207894 creator A5060331832 @default.
- W788207894 creator A5081161499 @default.
- W788207894 creator A5081501610 @default.
- W788207894 date "2015-12-01" @default.
- W788207894 modified "2023-09-25" @default.
- W788207894 title "Source apportionment of fine particles and its chemical components over the Yangtze River Delta, China during a heavy haze pollution episode" @default.
- W788207894 cites W1967922485 @default.
- W788207894 cites W1978493871 @default.
- W788207894 cites W1993546714 @default.
- W788207894 cites W1999603434 @default.
- W788207894 cites W2002106625 @default.
- W788207894 cites W2007133712 @default.
- W788207894 cites W2010334916 @default.
- W788207894 cites W2020683252 @default.
- W788207894 cites W2025839092 @default.
- W788207894 cites W2028518967 @default.
- W788207894 cites W2035211183 @default.
- W788207894 cites W2037707616 @default.
- W788207894 cites W2039997931 @default.
- W788207894 cites W2040361047 @default.
- W788207894 cites W2046659190 @default.
- W788207894 cites W2052859509 @default.
- W788207894 cites W2059693931 @default.
- W788207894 cites W2063165760 @default.
- W788207894 cites W2070563487 @default.
- W788207894 cites W2073882830 @default.
- W788207894 cites W2078869657 @default.
- W788207894 cites W2080014088 @default.
- W788207894 cites W2087406086 @default.
- W788207894 cites W2091877929 @default.
- W788207894 cites W2104776567 @default.
- W788207894 cites W2107214412 @default.
- W788207894 cites W2112612772 @default.
- W788207894 cites W2116937628 @default.
- W788207894 cites W2117123725 @default.
- W788207894 cites W2130413170 @default.
- W788207894 cites W2136263534 @default.
- W788207894 cites W2140805694 @default.
- W788207894 cites W2166841284 @default.
- W788207894 cites W2168501026 @default.
- W788207894 cites W4241162423 @default.
- W788207894 cites W81808495 @default.
- W788207894 doi "https://doi.org/10.1016/j.atmosenv.2015.06.051" @default.
- W788207894 hasPublicationYear "2015" @default.
- W788207894 type Work @default.
- W788207894 sameAs 788207894 @default.
- W788207894 citedByCount "54" @default.
- W788207894 countsByYear W7882078942015 @default.
- W788207894 countsByYear W7882078942016 @default.
- W788207894 countsByYear W7882078942017 @default.
- W788207894 countsByYear W7882078942018 @default.
- W788207894 countsByYear W7882078942019 @default.
- W788207894 countsByYear W7882078942020 @default.
- W788207894 countsByYear W7882078942021 @default.
- W788207894 countsByYear W7882078942022 @default.
- W788207894 countsByYear W7882078942023 @default.
- W788207894 crossrefType "journal-article" @default.
- W788207894 hasAuthorship W788207894A5015440437 @default.
- W788207894 hasAuthorship W788207894A5016487740 @default.
- W788207894 hasAuthorship W788207894A5019866949 @default.
- W788207894 hasAuthorship W788207894A5022155096 @default.
- W788207894 hasAuthorship W788207894A5025483093 @default.
- W788207894 hasAuthorship W788207894A5028777724 @default.
- W788207894 hasAuthorship W788207894A5039943970 @default.
- W788207894 hasAuthorship W788207894A5042568222 @default.
- W788207894 hasAuthorship W788207894A5044758674 @default.
- W788207894 hasAuthorship W788207894A5060331832 @default.
- W788207894 hasAuthorship W788207894A5081161499 @default.
- W788207894 hasAuthorship W788207894A5081501610 @default.
- W788207894 hasConcept C107872376 @default.
- W788207894 hasConcept C127313418 @default.
- W788207894 hasConcept C127413603 @default.
- W788207894 hasConcept C146978453 @default.
- W788207894 hasConcept C153294291 @default.
- W788207894 hasConcept C166957645 @default.
- W788207894 hasConcept C17744445 @default.
- W788207894 hasConcept C185592680 @default.
- W788207894 hasConcept C187320778 @default.
- W788207894 hasConcept C18903297 @default.
- W788207894 hasConcept C191935318 @default.
- W788207894 hasConcept C199539241 @default.
- W788207894 hasConcept C205649164 @default.
- W788207894 hasConcept C2776053758 @default.
- W788207894 hasConcept C2778337684 @default.
- W788207894 hasConcept C3018003528 @default.
- W788207894 hasConcept C39432304 @default.
- W788207894 hasConcept C5072461 @default.