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基于人工鱼群算法改进栖息地法的河流生态流量计算OACSTPCD

Ecological Flow Calculation Based on Habitat Method Improved by Artificial Fish Swarm Algorithm

中文摘要英文摘要

广泛应用于生态流量计算的栖息地法,近年来理论基础受到许多国外学者的质疑.针对其存在的问题,通过采用人工鱼群算法中的视野、奖励权重、拥挤度参数对栖息地法进行了 3 个方面的改进,其中,视野、奖励权重、拥挤度参数分别代表鱼类搜寻适宜栖息地的能力、鱼类聚群后优选栖息地的倾向和鱼类实际选择栖息地时的逻辑.以淮河中游鲁台子~淮南段为研究区域,发现改进后的计算方法具有较好的稳定性,能够体现鱼类自我优化栖息地选择的过程,可以反映栖息地的利用情况,显著提高了栖息地法计算结果的可信度.

Habitat method,which is widely used in ecological flow calculation,has been questioned for its theoretical basis by many foreign scholars in recent years.Aiming at existing problems,this paper proposes an improved habitat method using the parameters of sight,bonus weight and crowded parameter in the artificial fish swarm algorithm to represent the ability of searching for suitable habitat,the tendency of optimizing habitat after swarming and the logic of selecting habitat.Taking Lutaizi-Huainan section of the middle reaches of Huaihe River as the research area,it is found that the improved calculation method has great stability,can reflect the self-optimizing process of fish habitat selection and embody the utilization of habitat,which can significantly improve the reliability of the habitat method results.

赵亿睿;陆宝宏;徐健;姜政放;周尊广

河海大学水文水资源学院, 江苏 南京 210024

水利科学

生态流量栖息地法人工鱼群算法

ecological flowhabitat methodartificial fish swarming algorithm

《水力发电》 2024 (005)

1-6,100 / 7

国家自然科学基金联合基金项目(U2240218);中国电建集团华东勘测科研课题"基于水库水温数学模型的叠梁门运行调度优化技术与应用研究"(KY2023-HS-02-10)

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