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• W3018472511 startingPage "121783" @default.
• W3018472511 abstract "Coupled human and natural system research is an urgent issue in the Anthropocene. However, this has not yet been conducted from the perspective of multiplex networks, which are a powerful tool to elucidate the interactions in human-natural systems. This paper establishes a framework of human-water multiplex networks (HWMNs) to explain the combined effects of human-water interactions in the Yangtze River basin. The spatial linkages and the status of each province in the Yangtze River basin can be characterized through the index of network flow and topology. Research demonstrated that the highest import flow of the virtual water environment capacity flow in the Yangtze River Basin is to Jiangsu Province, at 16.2 thousand t. The highest export flow in the Yangtze River Basin is from Shanghai city, at 33.2 thousand t. The control power of Shanghai city over Sichuan Province accounts for 56.59% of the water resources, which is the highest value and can be recognized as one type of telecoupling of water resources. The provinces in the delta of the Yangtze River basin, including Shanghai city, Jiangsu Province and Zhejiang Province, benefit the most from economic trade. The community structure of the virtual water environment capacity flow is highly consistent with the geographical distribution of the Yangtze River basin. Comprehensive research methods combined with network flow analysis and network topology analysis provide more general results. The microenvironmental effect of indirect pollutant discharge is uncovered through HWMNs. This research can provide a more connected view of integrated water management." @default.
• W3018472511 created "2020-05-01" @default.
• W3018472511 creator A5020671988 @default.
• W3018472511 creator A5064789857 @default.
• W3018472511 date "2020-08-01" @default.
• W3018472511 modified "2023-10-16" @default.
• W3018472511 title "Influence of human-water interactions on the water resources and environment in the Yangtze River Basin from the perspective of multiplex networks" @default.
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• W3018472511 doi "https://doi.org/10.1016/j.jclepro.2020.121783" @default.
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