Reservoir water temperature numerical simulation

Mengyuan Gong; Zhou Ye

doi:10.1117/12.2628410

22 April 2022 Reservoir water temperature numerical simulation

Mengyuan Gong, Zhou Ye

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 1216316 (2022) https://doi.org/10.1117/12.2628410
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

This article combines the reservoir water temperature numerical model and applies it to the study of the water temperature distribution prediction of large-scale reservoirs. It compares and analyzes the difference between the natural water temperature and the discharged water temperature under different water intake methods. The results show that: Compared with the traditional bottom water intake method, the layered water intake is adopted. By controlling the water intake depth, the temperature difference between the discharged water temperature and the natural water body temperature can be effectively reduced by 1.3°C~2.3°C. It can also effectively reduce the recovery distance of low-temperature water bodies, and is more conducive to the survival of fish and protected animals in downstream rivers. The research results have reference value for reservoir ecological regulation measures.

Citation Download Citation

Mengyuan Gong and Zhou Ye "Reservoir water temperature numerical simulation", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 1216316 (22 April 2022); https://doi.org/10.1117/12.2628410

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