Resilience level assessment of regional water resources system based on multi-link

As environmental and human changes combine, water shortage and ecological fragility are becoming increasingly serious issues in the basin. The national “14th Five-Year Plan” proposes to build resilient basins to enhance disaster resilience. On the basis of clarifying the multi-link characteristics o...

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Main Authors: Yu Wang, Fang Wan, Shaoming Peng, Xiaokang Zheng, Wenhao Han, Dengming Yan, Weihao Wang, Di Zhang
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X2400400X
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author Yu Wang
Fang Wan
Shaoming Peng
Xiaokang Zheng
Wenhao Han
Dengming Yan
Weihao Wang
Di Zhang
author_facet Yu Wang
Fang Wan
Shaoming Peng
Xiaokang Zheng
Wenhao Han
Dengming Yan
Weihao Wang
Di Zhang
author_sort Yu Wang
collection DOAJ
description As environmental and human changes combine, water shortage and ecological fragility are becoming increasingly serious issues in the basin. The national “14th Five-Year Plan” proposes to build resilient basins to enhance disaster resilience. On the basis of clarifying the multi-link characteristics of water resources system resilience under the influence of meteorology-hydrology-ecology-society-economy, this paper reveals the interrelationship and chain reaction among the factors affecting the resilience of water resources system by clarifying the multi-link characteristics of water resources system resilience. Based on the interconnections among meteorology-hydrology-engineering-economic society-ecology in regional water resources systems, this study constructs a resilience evaluation index for the water resources system. The index considers different objectives, dimensions, and scales to provide a comprehensive assessment of the system’s resilience. Based on the multi-dimensional relationship of the evaluation index system, the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method based on entropy weight method is employed to depict the resilience level of the water resources system at varying spatial and temporal scales. By focusing on Shanxi Province as the research subject, a multi-link evaluation framework for assessing the resilience of the water resources system is established, and a quantitative approach to evaluate its resilience is investigated. The results show that the level of water resources resilience in Shanxi Province has improved from 2017 to 2021, and there are certain spatial and temporal differences. In 2021, only Lvliang City and Yangquan City have low resilience level, and the resilience level of other cities has been improved. Among them, Taiyuan City has the highest resilience level of 0.56, which belongs to the high resilience level. The research results can improve the cognitive level of multi-link evolution mechanism of resilience to a certain extent, and provide scientific basis for multi-dimensional targeted regulation of water resources system resilience.
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spelling doaj.art-6c0836dd007b4d34b577cec3361a7a262024-04-12T04:44:59ZengElsevierEcological Indicators1470-160X2024-03-01160111943Resilience level assessment of regional water resources system based on multi-linkYu Wang0Fang Wan1Shaoming Peng2Xiaokang Zheng3Wenhao Han4Dengming Yan5Weihao Wang6Di Zhang7Yellow River Engineering Consulting Co., Ltd, ZhengZhou 450003, China; Yellow River Conservancy Commission, Zhengzhou 450004, ChinaNorth China University of Water Resources and Electric Power, Zhengzhou 450045, China; Key Laboratory of Water Management and Water Security for Yellow River Basin, Ministry of Water Resources (under construction), Zhengzhou 450003, China; North China University of Water Resources and Electric Power, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, Zhengzhou 450045, China; Corresponding author at: North China University of Water Resources and Electric Power, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, Zhengzhou 450045, China.MWR General Institute of Water Resources and Hydropower Planning and Design (GIWP), Beijing 100032, ChinaYellow River Engineering Consulting Co., Ltd, ZhengZhou 450003, ChinaNorth China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaYellow River Engineering Consulting Co., Ltd, ZhengZhou 450003, ChinaChina Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaYellow River Engineering Consulting Co., Ltd, ZhengZhou 450003, ChinaAs environmental and human changes combine, water shortage and ecological fragility are becoming increasingly serious issues in the basin. The national “14th Five-Year Plan” proposes to build resilient basins to enhance disaster resilience. On the basis of clarifying the multi-link characteristics of water resources system resilience under the influence of meteorology-hydrology-ecology-society-economy, this paper reveals the interrelationship and chain reaction among the factors affecting the resilience of water resources system by clarifying the multi-link characteristics of water resources system resilience. Based on the interconnections among meteorology-hydrology-engineering-economic society-ecology in regional water resources systems, this study constructs a resilience evaluation index for the water resources system. The index considers different objectives, dimensions, and scales to provide a comprehensive assessment of the system’s resilience. Based on the multi-dimensional relationship of the evaluation index system, the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method based on entropy weight method is employed to depict the resilience level of the water resources system at varying spatial and temporal scales. By focusing on Shanxi Province as the research subject, a multi-link evaluation framework for assessing the resilience of the water resources system is established, and a quantitative approach to evaluate its resilience is investigated. The results show that the level of water resources resilience in Shanxi Province has improved from 2017 to 2021, and there are certain spatial and temporal differences. In 2021, only Lvliang City and Yangquan City have low resilience level, and the resilience level of other cities has been improved. Among them, Taiyuan City has the highest resilience level of 0.56, which belongs to the high resilience level. The research results can improve the cognitive level of multi-link evolution mechanism of resilience to a certain extent, and provide scientific basis for multi-dimensional targeted regulation of water resources system resilience.http://www.sciencedirect.com/science/article/pii/S1470160X2400400XWater resources system resilienceMulti-linkResilience levelIndex system
spellingShingle Yu Wang
Fang Wan
Shaoming Peng
Xiaokang Zheng
Wenhao Han
Dengming Yan
Weihao Wang
Di Zhang
Resilience level assessment of regional water resources system based on multi-link
Ecological Indicators
Water resources system resilience
Multi-link
Resilience level
Index system
title Resilience level assessment of regional water resources system based on multi-link
title_full Resilience level assessment of regional water resources system based on multi-link
title_fullStr Resilience level assessment of regional water resources system based on multi-link
title_full_unstemmed Resilience level assessment of regional water resources system based on multi-link
title_short Resilience level assessment of regional water resources system based on multi-link
title_sort resilience level assessment of regional water resources system based on multi link
topic Water resources system resilience
Multi-link
Resilience level
Index system
url http://www.sciencedirect.com/science/article/pii/S1470160X2400400X
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AT dengmingyan resiliencelevelassessmentofregionalwaterresourcessystembasedonmultilink
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