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Volumn 20, Issue 5, 2009, Pages 477-493

Modelling of nitrogen dioxide (NO2) and fine particulate matter (PM10) air pollution in the metropolitan areas of Barcelona and Bilbao, Spain

Author keywords

Air pollution; Census tracks; Kriging; Nitrogen dioxide and fine particulate matter; Urban road traffic

Indexed keywords

ATMOSPHERIC POLLUTION; ENVIRONMENTAL FACTOR; EPIDEMIOLOGY; GEOGRAPHICAL VARIATION; METROPOLITAN AREA; NITROGEN DIOXIDE; PARTICULATE MATTER;

EID: 68149117277     PISSN: 11804009     EISSN: 1099095X     Source Type: Journal    
DOI: 10.1002/env.939     Document Type: Article
Times cited : (8)

References (28)
  • 4
    • 38949147803 scopus 로고    scopus 로고
    • Transport and environment: On the way to a new common transport policy
    • European Environment Agency. TERM 2006: indicators tracking transport and environment in the European Union
    • European Environment Agency. 2007. Transport and environment: on the way to a new common transport policy. TERM 2006: indicators tracking transport and environment in the European Union. EEA Report. No 1.
    • (2007) EEA Report. No 1
  • 7
    • 33947711171 scopus 로고    scopus 로고
    • Semiparametric latent variable regression models for spatiotemporal modelling of mobile source particles in the greater Boston area
    • Gryparis A, Coult BA, Schwartz J, Suh HH. 2007. Semiparametric latent variable regression models for spatiotemporal modelling of mobile source particles in the greater Boston area. Journal of the Royal Statistical Society, Series C 56(2): 183-209.
    • (2007) Journal of the Royal Statistical Society, Series C , vol.56 , Issue.2 , pp. 183-209
    • Gryparis, A.1    Coult, B.A.2    Schwartz, J.3    Suh, H.H.4
  • 9
    • 0035084950 scopus 로고    scopus 로고
    • Stochastic modelling of atmospheric pollution: A spatial time-series framework. Part I: Methodology
    • a
    • Kyriakidis P, Journel A. 2001a. Stochastic modelling of atmospheric pollution: a spatial time-series framework. Part I: methodology. Atmospheric Environment 35: 2331-2337.
    • (2001) Atmospheric Environment , vol.35 , pp. 2331-2337
    • Kyriakidis, P.1    Journel, A.2
  • 10
    • 0035081613 scopus 로고    scopus 로고
    • Stochastic modelling of atmospheric pollution: A spatial time-series framework. Part II: Application to monitoring monthly sulphate deposition over Europe
    • b
    • Kyriakidis P, Journel A. 2001b. Stochastic modelling of atmospheric pollution: a spatial time-series framework. Part II: application to monitoring monthly sulphate deposition over Europe. Atmospheric Environment 35: 2339-2348.
    • (2001) Atmospheric Environment , vol.35 , pp. 2339-2348
    • Kyriakidis, P.1    Journel, A.2
  • 13
    • 0002572881 scopus 로고
    • Spatial-temporal analysis of multivariate environmental monitoring data
    • Patil GP, Rao CR (eds). North Holland/Elsevier: New York
    • Mardia KV, Goodall CR. 1993. Spatial-temporal analysis of multivariate environmental monitoring data. In Multivariate Environmental Statistics, Patil GP, Rao CR (eds). North Holland/Elsevier: New York; 347-386.
    • (1993) Multivariate Environmental Statistics , pp. 347-386
    • Mardia, K.V.1    Goodall, C.R.2
  • 14
    • 0032449890 scopus 로고    scopus 로고
    • Space-time estimation of grid cell hourly ozone levels for assessment of a deterministic model
    • MeiringW, Guttorp P, Sampson P. 1998. Space-time estimation of grid cell hourly ozone levels for assessment of a deterministic model. Environmental and Ecological Statistics 5: 197-222.
    • (1998) Environmental and Ecological Statistics , vol.5 , pp. 197-222
    • MeiringW Guttorp, P.1    Sampson, P.2
  • 20
    • 33748324384 scopus 로고    scopus 로고
    • R Development Core Team. Vienna, Austria: R foundation for statistical computing
    • R Development Core Team. 2006. R: a language and environment for statistical computing. Vienna, Austria: R foundation for statistical computing, http://www.R-project.org
    • (2006) R : A language and environment for statistical computing
  • 21
    • 0002062430 scopus 로고    scopus 로고
    • Geo R: A package for geoestatistical analysis
    • Ribeiro PJ, Diggle PJ. 2001. Geo R: a package for geoestatistical analysis. RNEWS 1(2): 15-18.
    • (2001) RNEWS , vol.1 , Issue.2 , pp. 15-18
    • Ribeiro, P.J.1    Diggle, P.J.2
  • 23
    • 0000832522 scopus 로고
    • Nonparametric estimation of nonstationary spatial covariance structure
    • Sampson P, Guttorp P. 1992. Nonparametric estimation of nonstationary spatial covariance structure. Journal of the American Statistical Association 87(417): 108-119.
    • (1992) Journal of the American Statistical Association , vol.87 , Issue.417 , pp. 108-119
    • Sampson, P.1    Guttorp, P.2
  • 24
    • 0033756477 scopus 로고    scopus 로고
    • Effect of outdoor and indoor nitrogen dioxide on respiratory symptoms in school children
    • Shima M, Adachi M. 2000. Effect of outdoor and indoor nitrogen dioxide on respiratory symptoms in schoolchildren. International Journal of Epidemiology 29: 862-870.
    • (2000) International Journal of Epidemiology , vol.29 , pp. 862-870
    • Shima, M.1    Adachi, M.2
  • 25
    • 84950758368 scopus 로고
    • The calculation of posterior distributions by data augmentation (with discussion)
    • Tanner MA, Wong WH. 1987. The calculation of posterior distributions by data augmentation (with discussion). Journal of the American Statistical Association 82: 528-550.
    • (1987) Journal of the American Statistical Association , vol.82 , pp. 528-550
    • Tanner, M.A.1    Wong, W.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.