额尔齐斯河库威站日尺度的降雨融雪径流模拟OA北大核心CSTPCD

Due to geographical conditions,there are limited hydrometeorological stations and a lack of basic data in the Irtysh River Basin,and the snowmelt flood exerts a considerable effect on the flood season and water re-sources management in the basin.In this study,precipitation and temperature reanalysis products and AVHRR snow cover data were applied,the K-means clustering method was used to divide the characteristics of different runoff periods,the corresponding SRM+LSTM model in different periods was constructed,and the runoff data observed in the field in 2023 were used.Results showed that the reanalysis product CMFD can be well applied to the Irtysh River Basin according to precipitation and temperature.The relationship between snow cover and run-off was divided into different runoff periods,as follows:December 11th to April 10th of the following year was the snow retreat period,April 11th to August 10th was the snowmelt precipitation runoff period,and August 11th was the precipitation runoff period.The simulation effect of the SRM model was poor,and the Nash efficiency co-efficient of most runoff was＜0.The SRM+LSTM model could better simulate the runoff in different periods of the basin,the deterministic coefficient could reach＞0.5,and the Nash efficiency coefficient NSE could also reach＞0.5,which confirms that the SRM+LSTM model can be better applied to the area with high accuracy.