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Ecohydrological evaluation for Fish spawning based on fluctuation identification algorithm (FIA)

Qiu, Jun, Wei, Jia-Hua, Jiang, Hao, Li, Fang-Fang
Ecological modelling 2019 v.402 pp. 35-44
algorithms, fish, spawning, statistics, water management, water resources, Yellow River
Various studies have proven that the flow rising processes play a significant role in the fish spawning stimulus. Instead of seizing the flow rise as an integrated process consisting of a flow rising edge and falling edge, the current publication focus on the daily flow. It is necessary to identify the effective flow rising process to learn the flow feature and guide the water resources management. In this study, a Fluctuation Identification Algorithm (FIA) is proposed based on the identification of flow rising and falling edges with only three parameters in total. On the strength of those identified flow rising processes, a group of fish-oriented indicators are defined to describe the features of the rising, including the number of the rising processes in the whole spawning season, the average duration of each rising process, the daily average flow in the flow rising processes, the average flow rising ratio, the average flow increment, and the average growth rate of the flow rising processes in the spawning season. The application on the upper reaches of the Yellow river over recent 10 years verifies the validity of the proposed Fluctuation Identification Algorithm. The statistics of those indicators indicates the regularities of the flow rising processes in the fish spawning seasons in different hydrological years, which helps the ecological protection in the water resources development.