A dynamic allocation framework for urban multi-source water under compound risk: integrating water deficit and quality indices
Journal
Journal of Water and Climate Change
Journal Volume
16
Journal Issue
12
Start Page
3822
End Page
3839
ISSN
20402244
Date Issued
2025-12
Author(s)
Hsieh, T.-Y.
Abstract
This study addresses the compound risks of drought and water quality deterioration faced by urban water supply systems under climate change. A dynamic allocation model integrating water quantity and quality indicators was developed to enhance adaptive management. The model incorporates an expanded water deficit index (WDI) and a Water Quality Index (WQI) within a fuzzy logic-based decision framework. Through a quality-weighting adjustment mechanism, the model dynamically reallocates surface water, groundwater, reclaimed water (RW), and interregional support water according to real-time hydrological and quality conditions. Using Taichung City, Taiwan, as a case study, results show that the proposed model improves overall supply resilience by 9.6% while maintaining system stability and safeguarding health under variable drought and water quality conditions. The findings demonstrate that integrating dual indicators within a fuzzy inference system provides a practical and scalable approach for adaptive, health-conscious, and climate-resilient urban water governance.
Subjects
adaptive water management
compound risk
dual-index integration
fuzzy inference system
supply resilience
Publisher
IWA Publishing
Type
journal article