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Can ensemble machine learning be used to predict the groundwater level dynamics of farmland under future climate: a 10-year study on Huaibei Plain.
Jiang, Zewei; Yang, Shihong; Liu, Zhenyang; Xu, Yi; Shen, Tao; Qi, Suting; Pang, Qingqing; Xu, Junzeng; Liu, Fangping; Xu, Tao.
Afiliação
  • Jiang Z; College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
  • Yang S; College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China. ysh7731@hhu.edu.cn.
  • Liu Z; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, 1 Xikang Road, Nanjing, 210098, People's Republic of China. ysh7731@hhu.edu.cn.
  • Xu Y; Cooperative Innovation Center for Water Safety & Hydro Science, Hohai University, Nanjing, 210098, People's Republic of China. ysh7731@hhu.edu.cn.
  • Shen T; College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
  • Qi S; College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
  • Pang Q; Anhui and Huaihe River Institute of Hydraulic Research (Anhui Province Key Laboratory of Water Conservancy and Water Resources), Bengbu, 233000, People's Republic of China.
  • Xu J; College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
  • Liu F; Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, 210042, People's Republic of China.
  • Xu T; College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, People's Republic of China.
Environ Sci Pollut Res Int ; 29(29): 44653-44667, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35133582
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água Subterrânea Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água Subterrânea Idioma: En Ano de publicação: 2022 Tipo de documento: Article