Numerical predictions of the total dissolved air distribution and its effect on fish in a reservoir with the Eulerian-Lagrangian model

HUANG Juping; HUANG Yinghan; OU Yangming; WANG Yuanming; FENG Jingjie; LI Ran

doi:10.16511/j.cnki.qhdxxb.2020.26.032

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Journal of Tsinghua University(Science and Technology) ›› 2021, Vol. 61 ›› Issue (6) : 601-609. DOI: 10.16511/j.cnki.qhdxxb.2020.26.032

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Numerical predictions of the total dissolved air distribution and its effect on fish in a reservoir with the Eulerian-Lagrangian model

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Abstract

Flow over a spillway discharge becomes supersaturated with dissolved air. The air slowly dissipatesbut the water remains supersaturated a long distance downstream of the dam, especially in the deep reservoir areas of cascade power stations. The supersaturated air can then be lethal to fish. Current research cannot completely simulate the fish movements and exposure timesin the various gas concentrations; therefore, the total dissolved gas (TDG) residence time was used to characterize the influence of the gas on fish in this study. However, neither the Eulerian model nor the Lagrangian model can simulate both the gas distribution and the residence time. Thus, this study used a combined three dimensional Eulerian-Lagrangian model of the air dissipation including dissipation in the water and mass transfer at the water surface. Particle tracking was used to estimate the tailrace residence time and the gas exposure time. The model was used to estimate the fish injury probability due to supersaturated air in the Tongjiezi reservoir in the Dadu River based on previous experimental data for the fish air tolerance ability. This study provides a method to analyze fish injury from supersaturated air and to optimize spillwaydischarge flows.

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Eulerian-Lagrangian model / total dissolved gas / fish habitat / OpenFOAM

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HUANG Juping, HUANG Yinghan, OU Yangming, WANG Yuanming, FENG Jingjie, LI Ran. Numerical predictions of the total dissolved air distribution and its effect on fish in a reservoir with the Eulerian-Lagrangian model[J]. Journal of Tsinghua University(Science and Technology). 2021, 61(6): 601-609 https://doi.org/10.16511/j.cnki.qhdxxb.2020.26.032

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