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17 May 2022 Water resource allocation based on optimal programming
Xu Wang, Tao Qian, Yanhui Xue
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Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 1225957 (2022) https://doi.org/10.1117/12.2638723
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China
Abstract
A severe drought in Lake Mead posed severe challenges for people living there due to the lack in water and electricity supplies. To cope with this serious situation, we formulates a scientific water allocation plan for the surrounding 5 states. First, we establish the Optimal Water Supply Model, which comprehensively considers various general water needs in the five states, as well as the waterline, water volume, and electricity production of the two reservoirs. On average, the two dams need to run for about 3 hours per day with a water flow of about 13800cfs to meet all aspects of water and electricity demand. However, these general demands will be difficult to maintain without an additional water supply. We comprehensively consider the influence of natural evaporation, Colorado River flow and other factors on the reservoir waterline, and establish a functional relationship between the waterline and time. When the water level is below a certain height, interested parties can calculate the additional water supply based on the model.
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Xu Wang, Tao Qian, and Yanhui Xue "Water resource allocation based on optimal programming", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 1225957 (17 May 2022); https://doi.org/10.1117/12.2638723
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KEYWORDS
Computer programming
Roads
Data modeling
Coastal modeling
Hydroelectric energy
Nomenclature
Safety
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