Your browser doesn't support javascript.
loading
A remote sensing emissions monitoring programme reduces emissions of gasoline and LPG vehicles.
Organ, Bruce; Huang, Yuhan; Zhou, John L; Surawski, Nic C; Yam, Yat-Shing; Mok, Wai-Chun; Hong, Guang.
Afiliação
  • Organ B; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia; Jockey Club Heavy Vehicle Emissions Testing and Research Centre, Vocational Training Council, Hong Kong.
  • Huang Y; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Zhou JL; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address: Junliang.Zhou@uts.edu.au.
  • Surawski NC; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Yam YS; Environmental Protection Department, The Government of the Hong Kong Special Administrative Region, Hong Kong.
  • Mok WC; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Hong G; School of Mechanical and Mechatronic Engineering, University of Technology Sydney, NSW 2007, Australia.
Environ Res ; 177: 108614, 2019 10.
Article em En | MEDLINE | ID: mdl-31394302
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Emissões de Veículos / Monitoramento Ambiental / Poluentes Atmosféricos / Tecnologia de Sensoriamento Remoto Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Emissões de Veículos / Monitoramento Ambiental / Poluentes Atmosféricos / Tecnologia de Sensoriamento Remoto Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2019 Tipo de documento: Article