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Volumn 39, Issue 37, 2005, Pages 7181-7189

A demonstration of coupled receptor/dispersion modeling with a genetic algorithm

Author keywords

Coupled model; Dispersion model; Genetic algorithm; Receptor model; Source apportionment

Indexed keywords

CALIBRATION; COMPUTER SIMULATION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; METEOROLOGY; OPTIMIZATION;

EID: 27544460592     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2005.08.027     Document Type: Article
Times cited : (83)

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    • R.L. Haupt, and S.E. Haupt Optimum population size and mutation rate for a simple real genetic algorithm that optimizes array factors Applied Computational Electromagnetics Society Journal 15 2000 94 102
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    • Haupt, S.E.1    Young, G.S.2    Allen, C.T.3
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    • 9644299773 scopus 로고    scopus 로고
    • A composite receptor and dispersion model approach for estimation of effective emission factors for vehicles
    • A.V. Kumar, R.S. Patil, and K.S.V. Nambi A composite receptor and dispersion model approach for estimation of effective emission factors for vehicles Atmospheric Environment 38 2004 7065 7072
    • (2004) Atmospheric Environment , vol.38 , pp. 7065-7072
    • Kumar, A.V.1    Patil, R.S.2    Nambi, K.S.V.3
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    • R. Qin, and K. Oduyemi Atmospheric aerosol source identification and estimates of source contributions to air pollution in Dundee, UK Atmospheric Environment 37 2003 1799 1809
    • (2003) Atmospheric Environment , vol.37 , pp. 1799-1809
    • Qin, R.1    Oduyemi, K.2
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    • Experimental micrometeorology in an era of turbulence simulation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.