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Exploring the type and strength of nonlinearity in water quality responses to nutrient loading reduction in shallow eutrophic water bodies: Insights from a large number of numerical simulations.
Su, Han; Zou, Rui; Zhang, Xiaoling; Liang, Zhongyao; Ye, Rui; Liu, Yong.
Affiliation
  • Su H; Multidisciplinary Water Management Group, Faculty of Engineering Technology, University of Twente, Enschede, 7500AE, the Netherlands; Rays Computational Intelligence Lab, Beijing Inteliway Environmental Ltd., Beijing, 100085, China.
  • Zou R; Rays Computational Intelligence Lab, Beijing Inteliway Environmental Ltd., Beijing, 100085, China. Electronic address: rz5q2008@gmail.com.
  • Zhang X; Rays Computational Intelligence Lab, Beijing Inteliway Environmental Ltd., Beijing, 100085, China.
  • Liang Z; Department of Ecosystem Science and Management, Pennsylvania State University, State College, PA, 16803, USA.
  • Ye R; Nanjing Smart Water Co. Ltd, Nanjing, 210012, China.
  • Liu Y; State Environmental Protection Key Laboratory of All Materials Flux in Rivers, College of Environmental Science and Engineering, Peking University, Beijing, 100871, China. Electronic address: yongliu@pku.edu.cn.
J Environ Manage ; 313: 115000, 2022 Jul 01.
Article in En | MEDLINE | ID: mdl-35390659
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Full text: 1 Database: MEDLINE Main subject: Water Quality / Eutrophication Country/Region as subject: Asia Language: En Journal: J Environ Manage Year: 2022 Type: Article Affiliation country: China
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Full text: 1 Database: MEDLINE Main subject: Water Quality / Eutrophication Country/Region as subject: Asia Language: En Journal: J Environ Manage Year: 2022 Type: Article Affiliation country: China