Journal article
An interval two-stage robust stochastic programming under a bi-level multi-objective framework toward river basin water resources allocation
Computers & operations research, v 180, pp 1-19
Aug 2025
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The uncertainty stemming from hydrological variables and socio-economic parameters poses new challenges to river basin water resources allocation (RBWRA). Given the pressing need for efficient, environmentally friendly, and equitable solutions in RBWRA, a bi-level multi-objective interval two-stage robust stochastic programming (BLMOITRSP) model is proposed. This model aims to achieve the optimal balance among efficiency, eco-friendliness, and equity, collectively called the “3E”. A novel hierarchical mixed water allocation mechanism is introduced within this model. The basin authority pursues the “3E” objectives at the macro-control level through administrative water allocation. Conversely, sub-areas as followers prioritize economic interests, striving for economic benefit maximization through water market allocation. Furthermore, uncertain parameters (e.g., water demand) are treated as interval parameters, employing interval two-stage robust stochastic programming (ITRSP) to address uncertainty issues and control systemic risks in the model. To solve the BLMOITRSP model, we present a bi-level interactive global equilibrium optimization algorithm, fusing with the modified particle swarm optimization (PSO) algorithm. The bi-level algorithm provides solutions tailored to the preferences of different decision-makers. The proposed model and method are also applied to the Hanjiang River Basin in China to demonstrate its feasibility and effectiveness. The results indicate that the proposed model effectively ensures the “3E” balance. The introduction of the hierarchical mixed water allocation mechanism proves conducive to promoting water distribution and enhancing economic benefits. ITRSP effectively controls the systemic risks of the model’s impact on the basin’s total economic benefit. The economic performance of each sub-area varies in response to different decision preferences under RBWRA schemes. Finally, the conclusions and future research directions are provided.
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Details
- Title
- An interval two-stage robust stochastic programming under a bi-level multi-objective framework toward river basin water resources allocation
- Creators
- Yan Tu (Corresponding Author) - Wuhan University of TechnologyYongzheng Lu - Wuhan University of TechnologyBenjamin Lev - Drexel University
- Publication Details
- Computers & operations research, v 180, pp 1-19
- Publisher
- Elsevier
- Number of pages
- 19
- Grant note
- National Natural Science Foundation of China: 71801177 Humani-ties and Social Sciences Fund of Ministry of Education of China: 18YJC630163 General Open Subject for Hubei Inno-vation and Development Research Institute: CX2023-2-3
Acknowledgments The authors would like to thank the editors and anonymous referees for their useful comments and suggestions, which have helped to im-prove this paper. This research was supported by the National Natural Science Foundation of China (grant numbers 71801177) , the Humani-ties and Social Sciences Fund of Ministry of Education of China (grant number 18YJC630163) , and the General Open Subject for Hubei Inno-vation and Development Research Institute (grant number CX2023-2-3) .
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:001447837500001
- Scopus ID
- 2-s2.0-86000605274
- Other Identifier
- 991022076198604721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Industrial
- Operations Research & Management Science