Artificial intelligence resolves transboundary water conflicts under climate uncertainty.
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| Title: | Artificial intelligence resolves transboundary water conflicts under climate uncertainty. |
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| Authors: | Cheng C; School of Economics and Finance, Hohai University, Changzhou 213200, China., Pang Q; School of Economics and Finance, Hohai University, Changzhou 213200, China. Electronic address: pangqh@hhu.edu.cn., Tang Y; College of Computer and Information, Hohai University, Nanjing 211100, China., Zhou Q; School of Sociology and Population Studies, Nanjing University of Posts and Telecommunications, Nanjing 210023, China., Fang Z; Center for Integrative Conservation & Yunnan Key Laboratory for Conservation of Tropical Rainforests and Asian Elephants, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China., Xue S; Department of Natural Resources and Environmental Sciences, The University of Illinois at Urbana-Champaign, Champaign, IL, USA., Zhuang Y; Business School, Hohai University, Nanjing 211100, China., Deng M; College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China. |
| Source: | Water research [Water Res] 2026 Jun 15; Vol. 298, pp. 125809. Date of Electronic Publication: 2026 Mar 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2448 (Electronic) Linking ISSN: 00431354 NLM ISO Abbreviation: Water Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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