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A hybrid machine learning model for landslide-oriented risk assessment of long-distance pipelines.
Wen, Haijia; Liu, Lei; Zhang, Jialan; Hu, Jiwei; Huang, Xiaomei.
Afiliação
  • Wen H; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas; School of Civil Engineering, Chongqing University, Chongqing 400045, China.
  • Liu L; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas; School of Civil Engineering, Chongqing University, Chongqing 400045, China.
  • Zhang J; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas; School of Civil Engineering, Chongqing University, Chongqing 400045, China. Electronic address: lanaij@cqu.
  • Hu J; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas; School of Civil Engineering, Chongqing University, Chongqing 400045, China.
  • Huang X; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas; School of Civil Engineering, Chongqing University, Chongqing 400045, China.
J Environ Manage ; 342: 118177, 2023 Sep 15.
Article em En | MEDLINE | ID: mdl-37210819

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Deslizamentos de Terra Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Deslizamentos de Terra Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article