Your browser doesn't support javascript.
loading
A tiered probabilistic approach to assess antibiotic ecological and resistance development risks in the fresh surface waters of China.
Zhang, Jiawei; Ge, Hui; Shi, Jianghong; Tao, Huanyu; Li, Bin; Yu, Xiangyi; Zhang, Mengtao; Xu, Zonglin; Xiao, Ruijie; Li, Xiaoyan.
Afiliación
  • Zhang J; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; Department of Civil Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China.
  • Ge H; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Shi J; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China. Electronic address: shijh@sustech.edu.cn.
  • Tao H; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; Department of Civil Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China.
  • Li B; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Yu X; Solid Waste and Chemicals Management Center of Ministry of Ecology and Environment, Beijing 100029, China.
  • Zhang M; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Xu Z; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Xiao R; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Li X; Department of Civil Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China. Electronic address: xlia@hku.hk.
Ecotoxicol Environ Saf ; 243: 114018, 2022 Sep 15.
Article en En | MEDLINE | ID: mdl-36037634
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Ecotoxicol Environ Saf Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Ecotoxicol Environ Saf Año: 2022 Tipo del documento: Article País de afiliación: China