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

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

Abstract

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
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.
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