Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model
As urbanization accelerates, the trend of “dual evolution” in the water cycle has intensified, leading to numerous water resource issues and posing significant challenges to urban water cycle health. Accurately evaluating and analyzing urban water cycle health is crucial for addressing these challen...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X2401392X |
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| author | Jiageng Hu Fuqiang Wang Peiheng Liu Subing Lü Cheng Lü Furong Yu |
| author_facet | Jiageng Hu Fuqiang Wang Peiheng Liu Subing Lü Cheng Lü Furong Yu |
| author_sort | Jiageng Hu |
| collection | DOAJ |
| description | As urbanization accelerates, the trend of “dual evolution” in the water cycle has intensified, leading to numerous water resource issues and posing significant challenges to urban water cycle health. Accurately evaluating and analyzing urban water cycle health is crucial for addressing these challenges. However, time lags in policy implementation and extreme weather events from climate change negatively impact evaluation accuracy, complicating the research. This study employs the Driving force-Pressure-State-Impact-Response-Management (DPSIRM) framework, using key policy implementation milestones as benchmarks to divide the timeline into three evaluation phases, thereby optimizing the urban water cycle health evaluation system. By integrating the Cloud model with the Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation (AHP-FCE) model, an improved AHP-FCE-Cloud model is constructed. Zhengzhou is used as a case study to evaluate the health status of the water cycle across three periods: 2010–2013, 2014–2017, and 2018–2021, comparing results with the traditional AHP-FCE model while exploring the obstacles affecting water cycle health. The results indicate a continuous improvement in Zhengzhou’s water cycle health, rising from an unhealthy level in 2010–2013 to a sub-healthy level in 2014–2021. The pressure subsystem is the primary constraint, with its obstacle strength weakening over time (from 0.42 to 0.28), while the impact of the driving force subsystem becomes more pronounced (from 0.03 to 0.37). The AHP-FCE-Cloud model provides a more scientific and effective method for evaluating urban water cycle health and offers significant reference value for similar research. Furthermore, the analysis of obstacles provides theoretical support for promoting sustainable urban development. |
| format | Article |
| id | doaj-art-d7a00da9efa443749145c81a04a7af30 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-d7a00da9efa443749145c81a04a7af302025-01-31T05:10:17ZengElsevierEcological Indicators1470-160X2025-01-01170112935Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud modelJiageng Hu0Fuqiang Wang1Peiheng Liu2Subing Lü3Cheng Lü4Furong Yu5North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaNorth China University of Water Resources and Electric Power, Zhengzhou 450046, China; Henan Provincial Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, Zhengzhou 450046, China; Henan Provincial Key Laboratory of Hydrosphere and Watershed Water Security, Zhengzhou 450046, China; Corresponding author at: North China University of Water Resources and Electric Power, Zhengzhou 450046, China.Song-Liao Water Resources Commission Basin Planning & Policy Research Center, Changchun 130021, ChinaNorth China University of Water Resources and Electric Power, Zhengzhou 450046, China; Henan Provincial Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, Zhengzhou 450046, ChinaNorth China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaNorth China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaAs urbanization accelerates, the trend of “dual evolution” in the water cycle has intensified, leading to numerous water resource issues and posing significant challenges to urban water cycle health. Accurately evaluating and analyzing urban water cycle health is crucial for addressing these challenges. However, time lags in policy implementation and extreme weather events from climate change negatively impact evaluation accuracy, complicating the research. This study employs the Driving force-Pressure-State-Impact-Response-Management (DPSIRM) framework, using key policy implementation milestones as benchmarks to divide the timeline into three evaluation phases, thereby optimizing the urban water cycle health evaluation system. By integrating the Cloud model with the Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation (AHP-FCE) model, an improved AHP-FCE-Cloud model is constructed. Zhengzhou is used as a case study to evaluate the health status of the water cycle across three periods: 2010–2013, 2014–2017, and 2018–2021, comparing results with the traditional AHP-FCE model while exploring the obstacles affecting water cycle health. The results indicate a continuous improvement in Zhengzhou’s water cycle health, rising from an unhealthy level in 2010–2013 to a sub-healthy level in 2014–2021. The pressure subsystem is the primary constraint, with its obstacle strength weakening over time (from 0.42 to 0.28), while the impact of the driving force subsystem becomes more pronounced (from 0.03 to 0.37). The AHP-FCE-Cloud model provides a more scientific and effective method for evaluating urban water cycle health and offers significant reference value for similar research. Furthermore, the analysis of obstacles provides theoretical support for promoting sustainable urban development.http://www.sciencedirect.com/science/article/pii/S1470160X2401392XWater cycle healthDPSIRM frameworkCloud modelAHP-FCEAHP-FCE- Cloud modelObstacle degree |
| spellingShingle | Jiageng Hu Fuqiang Wang Peiheng Liu Subing Lü Cheng Lü Furong Yu Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model Ecological Indicators Water cycle health DPSIRM framework Cloud model AHP-FCE AHP-FCE- Cloud model Obstacle degree |
| title | Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model |
| title_full | Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model |
| title_fullStr | Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model |
| title_full_unstemmed | Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model |
| title_short | Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model |
| title_sort | evaluation of urban water cycle health status based on dpsirm framework and ahp fce cloud model |
| topic | Water cycle health DPSIRM framework Cloud model AHP-FCE AHP-FCE- Cloud model Obstacle degree |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X2401392X |
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