Application of source-receptor models for air quality management

被引:1
|
作者
Varadarajan, Charanya [1 ]
Kumar, Ashok [1 ]
机构
[1] Univ Toledo, Dept Civil Engn, Toledo, OH 43606 USA
来源
ENVIRONMENTAL PROGRESS | 2006年 / 25卷 / 03期
关键词
D O I
10.1002/ep.10158
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A review on the different receptor modeling techniques called the Chemical Mass Balance (CMB) for source apportionment, is discussed. The application of source-receptor air quality model to detect particle pollution affects is also discussed. Increased fine particulate concentrations has caused reduced visibility, decreased human health, and death. The standard ambient level approved by National Ambient Air quality Standards (NAAQS) is not maintained in the United states. The recently developed source-receptor model can overcome the limitations associated with the traditional dispersion models. The methodology is based on the concentrations of source-tracing chemical species measured at the receptor. The models are used in State Implementation Plans for achieving NAAQS compliance. The need to identify the sources for effective control strategies and regulations result in a number of apportionment studies.
引用
收藏
页码:180 / 185
页数:6
相关论文
共 50 条
  • [31] Source-Impact Forecasting for Dynamic Air Quality Management: Application to Prescribed Burn Management
    Odman, M. Talat
    Pophale, Aditya A.
    Sakhpara, Rushabh D.
    Hu, Yongtao
    Russell, Armistead G.
    Chang, Michael E.
    AIR POLLUTION MODELING AND ITS APPLICATION XXIV, 2016, : 575 - 579
  • [32] Source-receptor relationships for heavy metals in the European atmosphere
    Swietlicki, E
    Kemp, K
    Wåhlin, P
    Bartnicki, J
    Jalkanen, L
    Krejci, R
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 1999, 150 (1-4): : 322 - 331
  • [33] Spatial variability and source-receptor relations at a street intersection
    Robins, A
    Savory, E
    Scaperdas, A
    Grigoriadis, D
    URBAN AIR QUALITY - RECENT ADVANCES, PROCEEDINGS, 2002, : 381 - 393
  • [34] Models for air quality management and assessment
    Andò, B
    Baglio, S
    Graziani, S
    Pitrone, N
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2000, 30 (03): : 358 - 363
  • [35] Source-receptor relationships for atmospheric mercury in urban Detroit, Michigan
    Lynam, MM
    Keeler, GJ
    ATMOSPHERIC ENVIRONMENT, 2006, 40 (17) : 3144 - 3155
  • [36] Nonlinearity in source-receptor relationship for sulfur and nitrate in East Asia
    Roh, Woo-Sub
    Kim, Seung-Bum
    Lee, Tae-Young
    AIR POLLUTION MODELING AND ITS APPLICATION XIX, 2008, : 675 - 676
  • [37] Numerical Source-Receptor Connectivity Study in Nearshore Coastal Waters
    Lam, Man Yue
    Ahmadian, Reza
    PROCEEDINGS OF THE 39TH IAHR WORLD CONGRESS, 2022, : 5703 - 5712
  • [38] Forensic investigations in environmental enforcement: Source-receptor studies.
    Machemer, SD
    Hosick, TJ
    Ingamells, RL
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2000, 220 : U355 - U356
  • [39] SCIENTIFIC CONSIDERATIONS FOR EMPIRICAL DETERMINATION OF REGIONAL SOURCE-RECEPTOR RELATIONSHIPS
    HIDY, GM
    ATMOSPHERIC ENVIRONMENT, 1988, 22 (09) : 1801 - 1820
  • [40] The ozone source-receptor model - A tool for UK ozone policy
    Hayman, G. D.
    Abbott, J.
    Davies, T. J.
    Thomson, C. L.
    Jenkin, M. E.
    Thetford, R.
    Fitzgerald, P.
    ATMOSPHERIC ENVIRONMENT, 2010, 44 (34) : 4283 - 4297