Your browser doesn't support javascript.
loading
Measurement and analysis of regional flood disaster resilience based on a support vector regression model refined by the selfish herd optimizer with elite opposition-based learning.
Liu, Dong; Wang, Chunqing; Ji, Yi; Fu, Qiang; Li, Mo; Ali, Shoaib; Li, Tianxiao; Cui, Song.
Afiliación
  • Liu D; School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China; Key Laboratory of Effective Utilization of Agricultural Water Resources of Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China; Hei
  • Wang C; School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China. Electronic address: wcq960525@163.com.
  • Ji Y; School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China. Electronic address: jiyi_neau@163.com.
  • Fu Q; School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China. Electronic address: fuqiang5511@126.com.
  • Li M; School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China. Electronic address: limo0205@126.com.
  • Ali S; School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China. Electronic address: engnr.shoaib.ali@gmail.com.
  • Li T; School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China. Electronic address: litianxiao@neau.edu.cn.
  • Cui S; School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China. Electronic address: cuisong-bq@neau.edu.cn.
J Environ Manage ; 300: 113764, 2021 Dec 15.
Article en En | MEDLINE | ID: mdl-34547576
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Desastres / Inundaciones Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Desastres / Inundaciones Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido