Quantitative Assessment and Regulation of Passage and Entrance Attraction Efficiency of Vertical-Slot Fishway on Heishuihe River in Southwest China

Author:

Xu Jiawei12,Li Dongqing3,Hu Xiaozhang2,Jiao Yilin4,Wang Jianping2,Wu Yujiao3,Lin Chenyu3,Ke Senfan3,Bai Tianxiang5,Wang Nannan3,Liu Bingjun1ORCID,Shi Xiaotao3

Affiliation:

1. School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China

2. Pearl River Water Resources Research Institute, Pearl River Water Resources Commission, Guangzhou 510611, China

3. Hubei International Science and Technology Cooperation Base of Fish Passage, China Three Gorges University, Yichang 443002, China

4. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China

5. China Three Gorges Renewables (Group) Co., Ltd., Gansu Branch, Lanzhou 730070, China

Abstract

Fish passage facilities are essential for restoring river connectivity and protecting ecosystems, effectively balancing economic and ecological benefits. Systematic and comprehensive monitoring, assessment, and optimized management are therefore crucial. This study quantitatively evaluated the entire upstream migration process of fish from the downstream river to the entrance and exit of the fishway and investigated the upstream movement patterns of fish under various environmental factors. A total of 19 fish species were monitored in the Heishuihe River downstream of the dam, with 15 species reaching the fishway entrance and 12 species successfully passing through it. The entrance attraction and passage rates of the vertical-slot fishway at the Songxin hydropower station were 15.7% and 40.42%, respectively. The best upstream performance was observed in May, with fish demonstrating better upstream timing and speed during nighttime compared to daytime. Specifically, the highest entrance attraction efficiency was recorded at a flow rate of 6–7 m3/s and a temperature of 19–20 °C, while the optimal passage efficiency was observed at a flow rate of 0–0.5 m3/s and a temperature of 17–20 °C. Additionally, a multifactorial Cox proportional hazards regression model was constructed to identify key factors influencing the probability of fishway entrance attraction and successful passage. The model elucidated the impact patterns of these key factors on fish upstream migration, ultimately generating an alignment diagram for prediction and control. This study provides a theoretical foundation and data support for developing optimized operational schedules for fishways. The findings offer a more comprehensive and systematic approach for monitoring and evaluating fish passage facilities, serving as a scientific basis for ecological restoration and fish conservation in this region and similar areas.

Funder

Innovative Research Group Program of the Natural Science Foundation of Hubei Province

National Natural Science Foundation of China

Publisher

MDPI AG

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