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Volumn 83, Issue 1, 2006, Pages 26-33

Identification of long-range aerosol transport patterns to Toronto via classification of back trajectories by cluster analysis and neural network techniques

Author keywords

Air pollution; Atmospheric aerosol; Fine particulate matter; Long distance transport; Ontario

Indexed keywords

AEROSOL; AIR POLLUTION; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CANADA; CLUSTER ANALYSIS; COMPARATIVE STUDY; PARTICULATE MATTER; POLLUTION TRANSPORT; PRIORITY JOURNAL;

EID: 33744531823     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2005.12.009     Document Type: Article
Times cited : (30)

References (20)
  • 1
    • 33744511294 scopus 로고    scopus 로고
    • Ontario Medical Association (Ed.), The illness costs of air pollution-findings report, http://www.oma.org/phealth/icap.htm (2000) (Accessed August 2003).
  • 3
    • 33744515045 scopus 로고    scopus 로고
    • S. Owega, G.J. Evans, B. Khan, R.E Jervis, M. Fila, Ecological modelling (submitted for publication).
  • 15
    • 33744506278 scopus 로고    scopus 로고
    • O. Malpica, MASc Dissertation, University of Toronto, 2002.
  • 16
    • 33744550482 scopus 로고    scopus 로고
    • R.R., Draxler, 1992. NOAA Tech. Memo. ERL ARL-195, 26 pp. and Appendices.
  • 19
    • 33744510811 scopus 로고    scopus 로고
    • J. Tsai, MASc Dissertation, University of Toronto, 2002.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.