Work

Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model

Year: 2024
Type: article
Abstract: With the acceleration of urbanization, the “dual evolution” of the water cycle intensifies, leading to numerous water resource issues and challenging the health of urban water cycles. Accurately evaluating and analyzing urban water cycle health is crucial for addressing these challenges. However, time lags in policy implementation and extreme weather events induced by climate change negatively impact the accuracy of evaluations, increasing complexity. To address these issues, this study optimizes the urban water cycle health evaluation system using the Driving force-Pressure-State-Impact-Response-Management (DPSIRM) framework, with key policy milestones as benchmarks, dividing the timeline into three evaluation stages. The cloud model is integrated with the Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation (AHP-FCE) model to develop an improved AHP-FCE model based on the cloud model (AHP-FCE-Cloud model). To ensure objectivity and scientific validity, the health of Zhengzhou City’s water cycle is assessed across three periods: 2010-2013, 2014-2017, and 2018-2021, and compared with results from the traditional AHP-FCE model to identify obstacles to water cycle health. The results indicate a continuous improvement in Zhengzhou City’s water cycle health, progressing from an unhealthy level in the early period (2010-2013) to a sub-healthy level (2014-2021). The pressure subsystem remains the primary obstacle, though its intensity weakens over time, while the impact of the driving force subsystem becomes more pronounced. 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 studies. Additionally, the analysis of obstacles provides theoretical support for promoting sustainable urban development.
Language: English
Open Access status: gold
Estimated APC paid: $2,970
OpenAlex ID: W4405313274
FWCI: 1.786
Cites: 38
Cited by: 16
Related to: 10