• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Li, Li (Li, Li.) | Shuiyuan, Cheng (Shuiyuan, Cheng.) (Scholars:程水源) | Hongling, F.U. (Hongling, F.U..)

Indexed by:

EI Scopus

Abstract:

A calculated methodology of regional contributions based on the MMS-CAMx model was developed to analyze the impact of different emission regions on urban air quality. Meteorological fields of January, April, July and October in 2006 were obtained by running the MM5 modeling system. The SO2 source apportionment technology was used to investigate the influence of the regions on air quality in Tangshan. A K-means clustering algorithm was used to group these contribution rates into five clusters according to daily average concentration contribution of 120 days. Results indicate that the receptor-self as emission region has the important contribution to receptor sites, the pollution could be aggravated by local source emissions. Combined with the Tangshan emission inventory, the analysis shows that several industries are located in inappropriate sits. Additionally the SO2 and PSO4 source apportionment study reveals a few differences from the contributions of emission regions. © 2010 IEEE.

Keyword:

Environmental management Air quality Bioinformatics Sulfur compounds K-means clustering Biomedical engineering

Author Community:

  • [ 1 ] [Li, Li]College of Environmental and Energy Engineering, Beijing University of Technology BJUT, Beijing, China
  • [ 2 ] [Shuiyuan, Cheng]College of Environmental and Energy Engineering, Beijing University of Technology BJUT, Beijing, China
  • [ 3 ] [Hongling, F.U.]College of Environmental and Energy Engineering, Beijing University of Technology BJUT, Beijing, China

Reprint Author's Address:

Show more details

Related Keywords:

Source :

Year: 2010

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Online/Total:641/10642129
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.