Application of the 2D high-resolution eco-hydraulics model based on GPU acceleration technology in the Upper Yellow River

IF 4.8 2区环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Environmental Modelling & Software Pub Date : 2025-02-25 DOI:10.1016/j.envsoft.2025.106393

Lu Yang , Jingming Hou , Xinhong Wang , Pan Wang , Yongwei Wang

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Abstract

This paper presents a high-resolution 2D eco-hydraulics model accelerated by GPU technology, specifically designed for a spawning ground of Gymnocypris eckloni located downstream of the B hydropower station in the Upper Yellow River. The model evaluates the quality of the spawning habitat from April to June during a typical year. The calculation efficiency is improved by 12.1 times eco-hydraulics on a GPU device compared with the simulation on CPU device. The results indicate that while the concentration of dissolved oxygen (DO) meets the spawning requirements, water temperature significantly affects the habitat quality. Through the analysis of Weighted Useable Area (WUA) values and considering the impact of flood pulses on fish, an ecological scheduling scheme for the B hydropower station was developed to simulate the natural runoff process from April 24 to May 24. The implementation of this ecological scheduling scheme facilitates the coordinated development of economic activities and river ecological health. Additionally, it serves as an important reference for the development of ecological flow management measures and programs for other reservoirs.

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基于GPU加速技术的二维高分辨率生态水力学模型在黄河上游的应用

针对位于黄河上游B水电站下游的eckloni裸鱼产卵场，建立了基于GPU加速技术的高分辨率二维生态水力学模型。该模型评估了典型年份中4月至6月产卵栖息地的质量。与在CPU设备上的仿真相比，在GPU设备上的计算效率提高了12.1倍。结果表明，在溶解氧（DO）浓度满足产卵要求的情况下，水温对栖息地质量有显著影响。通过对加权可利用面积（WUA）值的分析，考虑洪水脉冲对鱼类的影响，制定了B水电站生态调度方案，模拟4月24日至5月24日的自然径流过程。该生态调度方案的实施，促进了经济活动与河流生态健康的协调发展。为其他水库生态流量管理措施和方案的制定提供了重要参考。

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来源期刊

Environmental Modelling & Software 工程技术-工程：环境

CiteScore

9.30

自引率

8.20%

发文量

241

审稿时长

60 days

期刊介绍： Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.