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A two-stage inverse intelligent path optimization model for human-water relationship regulation
Qingsong Wu1, Qiting Zuo2, Zhizhuo Zhang3
1School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China; Henan International Joint Laboratory of Water Cycle Simulation and Environmental Protect, Zhengzhou 450001, China.
Water Research
|November 21, 2025
Summary
This study developed a Two-stage inverse intelligent path optimization model (TS_IIPOM) to regulate the human-water relationship (HWR). The model optimizes HWR regulation by balancing human and water systems, showing effectiveness in Henan Province.
Area of Science:
- Environmental Science
- Water Resource Management
- Systems Engineering
Background:
- The human-water relationship (HWR) is complex and requires effective regulation strategies.
- Existing methods for HWR regulation often lack quantitative approaches and integrated optimization.
- Understanding the dynamic interplay between human and water systems is crucial for sustainable development.
Purpose of the Study:
- To develop and apply a novel model for regulating the human-water relationship (HWR) based on harmonious balance.
- To transform qualitative HWR regulation objectives into quantitative expressions for improved management.
- To provide a methodological framework and practical insights for global HWR studies.
Main Methods:
- A logical framework of "theory-method-application" was employed.
- A Two-stage inverse intelligent path optimization model (TS_IIPOM) was developed, integrating development trend, importance degree, priority level, and change difficulty.
- The model considers water resources, economic, social, and ecological environment constraints within the planetary boundaries concept, solved by intelligent optimization algorithms.
Main Results:
- The TS_IIPOM effectively synthesizes multi-source information for optimized HWR regulatory paths.
- Analysis in Henan Province (2001-2022) revealed positive trends in both human and water systems, but with relative decoupling.
- The study quantified the current harmony and balance degrees of the HWR in Henan, identifying the water system's hysteresis and spatial variations in regulatory paths.
Conclusions:
- The TS_IIPOM is effective and applicable for HWR regulation, offering optimized paths.
- The human-water system in Henan exhibits decoupling and water system hysteresis, indicating a need for targeted regulation.
- The study provides a robust basis for formulating strategies to enhance HWR sustainability globally and in Henan Province.
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