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Volumn , Issue , 2014, Pages 79-84

The use of a non negative matrix factorization method combined to PM2.5 chemical data for a source apportionment study in different environments

Author keywords

Combustion source; Positive matrix factorization; Source apportionment; Source contribution; Source profile

Indexed keywords


EID: 84977970457     PISSN: 22138684     EISSN: 22138692     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-319-04379-1_13     Document Type: Chapter
Times cited : (4)

References (5)
  • 1
    • 84872022981 scopus 로고    scopus 로고
    • Critical review and meta-analysis of ambient particulate matter source apportionment using receptor models in Europe
    • Bellis CA, Karagulian F, Larsen BR, Hopke PK (2013) Critical review and meta-analysis of ambient particulate matter source apportionment using receptor models in Europe. Atmos Environ 69:94–108
    • (2013) Atmos Environ , vol.69 , pp. 94-108
    • Bellis, C.A.1    Karagulian, F.2    Larsen, B.R.3    Hopke, P.K.4
  • 2
    • 77954287889 scopus 로고    scopus 로고
    • Une version pondérée de la Factorisation Matricielle Non Negative pour l’identification de sources de particules atmosphériques: Application au littoral de la Mer du Nord
    • Delmaire G, Roussel G, Hleis D, Ledoux F (2010) Une version pondérée de la Factorisation Matricielle Non Negative pour l’identification de sources de particules atmosphériques: application au littoral de la Mer du Nord. Journal Européen des Systèmes Automatisés 44(4–5):547–566
    • (2010) Journal Européen Des Systèmes Automatisés , vol.44 , Issue.4-5 , pp. 547-566
    • Delmaire, G.1    Roussel, G.2    Hleis, D.3    Ledoux, F.4
  • 3
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts objects by non negative matrix factorization
    • Lee DD, Seung HS (1999) Learning the parts objects by non negative matrix factorization. Nature 401(6755):788–791
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 4
    • 0028561099 scopus 로고
    • Positive matrix factorization: A non-negative factor model with optional utilization of error estimates of data values
    • Paatero P, Tapper U (1994) Positive matrix factorization: a non-negative factor model with optional utilization of error estimates of data values. Environmentrics 5:111–126
    • (1994) Environmentrics , vol.5 , pp. 111-126
    • Paatero, P.1    Tapper, U.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.