Novel water allocation modeling of Colorado River: water-electricity and efficiency-equity tradeoffs

Zihao Li; Zitai Kong; Yifei Song

doi:10.1117/12.2638704

17 May 2022 Novel water allocation modeling of Colorado River: water-electricity and efficiency-equity tradeoffs

Zihao Li, Zitai Kong, Yifei Song

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122593A (2022) https://doi.org/10.1117/12.2638704
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

The competing interests of the Colorado River between areas and fields have been controversial problems since the last century, especially during continuous drought conditions. This study presents a novel solution balancing general usage with electricity generation, and efficiency with equity. We first model the reservoirs in a widely used method in geology to establish the relationship between water level and water volume, then establish a multi-objective model with a criterion in the form of objective functions. We finally use the Genetic Algorithm (GA) to evaluate the optimized plan, which turns out to be consistent with intuitive cognition, showing that the proposed model should be effective to be used in various regions with different water circumstances. The code for the model can be found in this Github repository: https://github.com/Violet24K/Water-Allocation-Model.git

Citation Download Citation

Zihao Li, Zitai Kong, and Yifei Song "Novel water allocation modeling of Colorado River: water-electricity and efficiency-equity tradeoffs", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122593A (17 May 2022); https://doi.org/10.1117/12.2638704

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