Water resources allocation based on improved goal programming model and bankruptcy theory

Shuo Dang; Tingting Yan; Long Ma

doi:10.1117/12.2672195

28 March 2023 Water resources allocation based on improved goal programming model and bankruptcy theory

Shuo Dang, Tingting Yan, Long Ma

Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125972W (2023) https://doi.org/10.1117/12.2672195
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China

Abstract

The utilization and allocation of water resources has always been a hot issue of global concern. In order to more reasonably solve the problem of inter-industry competition and uneven distribution of water resources, this study takes five states in the United States and Mexico as examples. We improved the goal programming model and calculated the correlation between dam level difference and total water supply. Then, based on the existing data, we simplify and improve the bankruptcy theoretical model to evaluate the importance of each industry. Based on the highest rate of return of the industry, the weighted planning of water resources utilization of each industry is carried out. Finally, the sensitivity of the model is analyzed by python program fitting curve, and the feasibility of the model is verified. We conclude that the total amount of water that the dam needs to pump is closely related to the water level difference before and after pumping. Relevant departments need to delineate the reasonable water level range of the dam to ensure that the dam can continue to use water supply in the future.

Citation Download Citation

Shuo Dang, Tingting Yan, and Long Ma "Water resources allocation based on improved goal programming model and bankruptcy theory", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125972W (28 March 2023); https://doi.org/10.1117/12.2672195

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