Optimizing Water Allocation and Industry Structure: A Multi-Scenario Comparison by Using Interval Fuzzy Multi-Level Programming Model

This study proposes an interval fuzzy multi-level programming model to address the challenges of balancing water resource allocation and industrial structure optimization, particularly those arising from computational complexity and limited data sample selection. Integrating interval fuzzy satisfact...

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Vydané v:Water resources management Ročník 39; číslo 15; s. 8017 - 8035
Hlavní autori: Ma, Chunxiao, Bai, Ruxin, Wang, Shifu, Yan, Zhiqiang, Shi, Haochen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Dordrecht Springer Netherlands 01.12.2025
Springer Nature B.V
Predmet:
Atmospheric Sciences
Civil Engineering
Decision making
Domestic water
Earth and Environmental Science
Earth Sciences
Economic development
Efficiency
Environment
Fuzzy sets
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology/Water Resources
Industrial production
Linear programming
Mathematical programming
Objectives
Optimization
Peak demand
Planning
Pollutants
Programming
Resource allocation
Supply & demand
Water allocation
Water consumption
Water resources
Water scarcity
Water shortages
Water supply
Water use
Industrial Structure Optimization
Interval Fuzzy Multi-level Programming Model
Multi-scenario Comparative Analysis
Water Resource Allocation
Application of Complex Models with Large-scale Data
ISSN:0920-4741, 1573-1650
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Shrnutí:This study proposes an interval fuzzy multi-level programming model to address the challenges of balancing water resource allocation and industrial structure optimization, particularly those arising from computational complexity and limited data sample selection. Integrating interval fuzzy satisfaction theory into a multi-level programming framework, the model is applied to Nanning City, a rapidly developing Chinese metropolis with abundant water resources yet an imbalanced water use structure. Results show that by controlling the fuzzy satisfaction level (λ) and maintaining its stability, the hierarchical objectives of environment, society, and economy can achieve acceptable satisfaction levels. Incorporating the water scarcity Gini coefficient and water use equity index improves fairness and promotes the optimization of water use and industrial structures. The model defines water shortage as the gap between demand and supply, a critical parameter in scenarios where supply is insufficient to meet maximum demand but exceeds the minimum. Two types of scenario settings are analyzed based on different objective-constraint configurations, which lead to either uncertain or clearly defined sectoral water shortage outcomes. The model also enforces the prioritization of domestic water use, ensuring no shortage even at peak demand. Multi-scenario comparisons provide practical insights for model implementation.
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content type line 14
ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-025-04327-y