An integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: China's largest water transfer programs for sustainable development
An integrated multi-criteria analysis framework was proposed for the sustainable water management of built reservoir with dam-heightening-based decision, which enhances the conventional decision-making methods by more reasonably quantifying the decision-making process. The method utilizes a group of...
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sg-ntu-dr.10356-1705002023-09-15T07:32:23Z An integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: China's largest water transfer programs for sustainable development Liu, Bin Fang, Huajian Qin, Xiaosheng Zhang, Feilian Li, Jingjing School of Civil and Environmental Engineering Engineering::Civil engineering Dam Heightening Game Theory An integrated multi-criteria analysis framework was proposed for the sustainable water management of built reservoir with dam-heightening-based decision, which enhances the conventional decision-making methods by more reasonably quantifying the decision-making process. The method utilizes a group of techniques involving game theory, analytic hierarchy process (AHP) identifying and considering different stakeholder groups, entropy weight, and fuzzy comprehensive evaluation (GAEF), and is applied to the largest water transfer programs in China. The study results showed that the improved multi-criteria decision framework can well deal with the decision-making problem of built reservoir construction scheme in facing the newly increased task of water transfer. The study identifies five stakeholders that affect the subjective weight of the heightening schemes of built reservoir for inter-basin water transfer. It was revealed that the game theory can better couple the collective wisdom of large complex groups and the objectivity of indicators than traditional methods such as geometric average. This study is of high reference value for the feasibility demonstration of built reservoir with dam-heightening-based decision around the world to achieve the water related Sustainable Development Goals (SDGs), especially for those reservoirs with water transferring tasks. This research is supported by 2019 water conservancy science and technology project of Hunan Province, Grant/Award Number: XSKJ2019081-57; China Scholarship Council, Grant/Award Number: 202006370108; Fundamental Research Funds for the Central Universities of Central South University, Grant/Award Number: 2021zzts0239. 2023-09-15T07:32:23Z 2023-09-15T07:32:23Z 2023 Journal Article Liu, B., Fang, H., Qin, X., Zhang, F. & Li, J. (2023). An integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: China's largest water transfer programs for sustainable development. Sustainable Development, 31(1), 540-554. https://dx.doi.org/10.1002/sd.2408 0968-0802 https://hdl.handle.net/10356/170500 10.1002/sd.2408 2-s2.0-85138383830 1 31 540 554 en Sustainable Development © 2022 ERP Environment and John Wiley & Sons Ltd. All rights reserved. |
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Engineering::Civil engineering Dam Heightening Game Theory Liu, Bin Fang, Huajian Qin, Xiaosheng Zhang, Feilian Li, Jingjing An integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: China's largest water transfer programs for sustainable development |
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An integrated multi-criteria analysis framework was proposed for the sustainable water management of built reservoir with dam-heightening-based decision, which enhances the conventional decision-making methods by more reasonably quantifying the decision-making process. The method utilizes a group of techniques involving game theory, analytic hierarchy process (AHP) identifying and considering different stakeholder groups, entropy weight, and fuzzy comprehensive evaluation (GAEF), and is applied to the largest water transfer programs in China. The study results showed that the improved multi-criteria decision framework can well deal with the decision-making problem of built reservoir construction scheme in facing the newly increased task of water transfer. The study identifies five stakeholders that affect the subjective weight of the heightening schemes of built reservoir for inter-basin water transfer. It was revealed that the game theory can better couple the collective wisdom of large complex groups and the objectivity of indicators than traditional methods such as geometric average. This study is of high reference value for the feasibility demonstration of built reservoir with dam-heightening-based decision around the world to achieve the water related Sustainable Development Goals (SDGs), especially for those reservoirs with water transferring tasks. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Liu, Bin Fang, Huajian Qin, Xiaosheng Zhang, Feilian Li, Jingjing |
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Article |
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Liu, Bin Fang, Huajian Qin, Xiaosheng Zhang, Feilian Li, Jingjing |
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Liu, Bin |
title |
An integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: China's largest water transfer programs for sustainable development |
title_short |
An integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: China's largest water transfer programs for sustainable development |
title_full |
An integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: China's largest water transfer programs for sustainable development |
title_fullStr |
An integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: China's largest water transfer programs for sustainable development |
title_full_unstemmed |
An integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: China's largest water transfer programs for sustainable development |
title_sort |
integrated multi-criteria analysis framework of built reservoir with dam-heightening-based decision: china's largest water transfer programs for sustainable development |
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2023 |
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https://hdl.handle.net/10356/170500 |
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1779156580031266816 |