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

Chunxiao Ma, Ruxin Bai, Shifu Wang (), Zhiqiang Yan and Haochen Shi
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Chunxiao Ma: South China University of Technology, School of Architecture
Ruxin Bai: Nanning Normal University, School of Geography and Planning
Shifu Wang: South China University of Technology, School of Architecture
Zhiqiang Yan: Nanning Normal University, School of Geography and Planning
Haochen Shi: Guangzhou University, School of Architecture and Urban Planning

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2025, vol. 39, issue 15, No 8, 8017-8035

Abstract: Abstract 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.

Keywords: Water Resource Allocation; Industrial Structure Optimization; Interval Fuzzy Multi-level Programming Model; Application of Complex Models with Large-scale Data; Multi-scenario Comparative Analysis (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11269-025-04327-y

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