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A novel framework to predict water turbidity using Bayesian modeling.
Huang, Jiacong; Qian, Rui; Gao, Junfeng; Bing, Haijian; Huang, Qi; Qi, Lingyan; Song, Song; Huang, Jiafang.
Afiliación
  • Huang J; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China. Electronic address: jchuang@niglas.ac.cn.
  • Qian R; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China; College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China.
  • Gao J; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China.
  • Bing H; Key Laboratory of Mountain Surface Process and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China.
  • Huang Q; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China.
  • Qi L; Engineering Technology Research Center of Resources Environment and GIS, School of Geography and Tourism, Anhui Normal University, 189 South Jiuhua Road, Wuhu 241003, China.
  • Song S; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China.
  • Huang J; Key Laboratory of Humid Sub-Tropical Eco-Geographical Processes (Fujian Normal University), Ministry of Education, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China.
Water Res ; 202: 117406, 2021 Sep 01.
Article en En | MEDLINE | ID: mdl-34273777
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad del Agua / Agua Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Water Res Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad del Agua / Agua Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Water Res Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido