Your browser doesn't support javascript.
loading
A Bayesian-SWMM coupled stochastic model developed to reconstruct the complete profile of an unknown discharging incidence in sewer networks.
Shao, Zhiyu; Xu, Lei; Chai, Hongxiang; Yost, Scott A; Zheng, Zuole; Wu, Zhengsong; He, Qiang.
Afiliación
  • Shao Z; Key Laboratory of Ecological Environment of Ministry of Education of Three Gorges Reservoir Area, Chongqing University, Chongqing, 400030, China; College of Environment and Ecology, Chongqing University, Chongqing, 400030, China. Electronic address: shaozhiyu@cqu.edu.cn.
  • Xu L; Key Laboratory of Ecological Environment of Ministry of Education of Three Gorges Reservoir Area, Chongqing University, Chongqing, 400030, China; College of Environment and Ecology, Chongqing University, Chongqing, 400030, China.
  • Chai H; Key Laboratory of Ecological Environment of Ministry of Education of Three Gorges Reservoir Area, Chongqing University, Chongqing, 400030, China; College of Environment and Ecology, Chongqing University, Chongqing, 400030, China.
  • Yost SA; Department of Civil Engineering, University of Kentucky, Lexington, 40506, USA.
  • Zheng Z; Key Laboratory of Ecological Environment of Ministry of Education of Three Gorges Reservoir Area, Chongqing University, Chongqing, 400030, China; College of Environment and Ecology, Chongqing University, Chongqing, 400030, China.
  • Wu Z; Key Laboratory of Ecological Environment of Ministry of Education of Three Gorges Reservoir Area, Chongqing University, Chongqing, 400030, China; College of Environment and Ecology, Chongqing University, Chongqing, 400030, China.
  • He Q; Key Laboratory of Ecological Environment of Ministry of Education of Three Gorges Reservoir Area, Chongqing University, Chongqing, 400030, China; College of Environment and Ecology, Chongqing University, Chongqing, 400030, China.
J Environ Manage ; 297: 113211, 2021 Nov 01.
Article en En | MEDLINE | ID: mdl-34284327
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Teorema de Bayes Tipo de estudio: Incidence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Environ Manage Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Teorema de Bayes Tipo de estudio: Incidence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Environ Manage Año: 2021 Tipo del documento: Article