一种多行为虚拟鱼模型，用于模拟垂直狭槽鱼道中鱼的运动轨迹。

IF 1.7 3区农林科学 Q2 FISHERIES

Journal of fish biology Pub Date : 2025-02-20 DOI:10.1111/jfb.16064

Xiaolong Chen, Xiaotao Shi, Xingyong Deng, Majid Rasta, Junjun Tan, Yu Wang, Yongqiang Jiang, Yanqin Bai

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引用次数: 0

摘要

鱼道对于恢复河流连通性和促进鱼类洄游至关重要，因此需要对效率优化进行持续研究。为了经济有效地优化鱼道效率，建立了鱼类行为模型。该模型将上游行为、随机行为、避障行为和游动速度变化等因素综合考虑在内，模拟了王家裂胸鱼在垂直槽鱼道中的游动轨迹。模拟轨迹与20条真实轨迹具有较高的一致性，轨迹重叠率达86.7%。这一结果突出了模型准确模拟鱼类运动的能力，展示了其革命性的鱼道设计的巨大潜力。

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A multiple-behaviors virtual fish model for simulating fish trajectory in vertical slot fishways.

Fishways are essential for restoring river connectivity and facilitating fish migration, necessitating ongoing research for efficiency optimization. This study developed a fish behavior model to optimize fishway efficiency cost-effectively. The model simulates swimming trajectories of Schizothorax wangchiachii within a vertical slot fishway incorporating upstream behavior, random behavior, obstacle avoidance, and swimming speed variations. The simulated trajectory exhibits a high consistency with 20 real trajectories, achieving a trajectory overlap rate of 86.7%. This result highlights the model's ability to accurately simulate fish movements, demonstrating its significant potential to revolutionize fishway design.

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来源期刊

Journal of fish biology 生物-海洋与淡水生物学

CiteScore

4.00

自引率

10.00%

发文量

292

审稿时长

3 months

期刊介绍： The Journal of Fish Biology is a leading international journal for scientists engaged in all aspects of fishes and fisheries research, both fresh water and marine. The journal publishes high-quality papers relevant to the central theme of fish biology and aims to bring together under one cover an overall picture of the research in progress and to provide international communication among researchers in many disciplines with a common interest in the biology of fish.