Ground-level ozone mapping in large urban areas using multivariate statistical analysis: application to the Sao Paulo Metropolitan Area (2003)
- Authors:
- USP affiliated authors: GUARDANI, ROBERTO - EP ; NASCIMENTO, CLÁUDIO AUGUSTO OLLER DO - EP
- Unidade: EP
- Subjects: ESPAÇO URBANO; MODELOS MATEMÁTICOS; OZÔNIO; REDES NEURAIS
- Language: Inglês
- Imprenta:
- Publisher place: Pittsburgh
- Date published: 2003
- Source:
- Título do periódico: Journal of the Air & Waste Management Association
- Volume/Número/Paginação/Ano: v.53,n.5,p.553-559, 2003
-
ABNT
GUARDANI, Roberto et al. Ground-level ozone mapping in large urban areas using multivariate statistical analysis: application to the Sao Paulo Metropolitan Area. Journal of the Air & Waste Management Association, v. 53, n. 5, p. 553-559, 2003Tradução . . Acesso em: 19 abr. 2024. -
APA
Guardani, R., Aguiar, J. L., Nascimento, C. A. O. do, Lacava, C. I. V., & Yanagi, Y. (2003). Ground-level ozone mapping in large urban areas using multivariate statistical analysis: application to the Sao Paulo Metropolitan Area. Journal of the Air & Waste Management Association, 53(5), 553-559. -
NLM
Guardani R, Aguiar JL, Nascimento CAO do, Lacava CIV, Yanagi Y. Ground-level ozone mapping in large urban areas using multivariate statistical analysis: application to the Sao Paulo Metropolitan Area. Journal of the Air & Waste Management Association. 2003 ;53(5):553-559.[citado 2024 abr. 19 ] -
Vancouver
Guardani R, Aguiar JL, Nascimento CAO do, Lacava CIV, Yanagi Y. Ground-level ozone mapping in large urban areas using multivariate statistical analysis: application to the Sao Paulo Metropolitan Area. Journal of the Air & Waste Management Association. 2003 ;53(5):553-559.[citado 2024 abr. 19 ] - Study of atmospheric ozone formation by means of a neural network based model
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