Application of hydrological models in a snowmelt region of Aksu River Basin

作     者：Ouyang Rulin Ren Liliang Cheng Weiming Yu Zhongbo 

作者机构：State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University Nanjing 210098 P. R. China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 P. R. China 

出 版 物：《Water Science and Engineering》 (水科学与水工程（英文版）)

年 卷 期：2008年第1卷第4期

页      面：1-13页

学科分类：081504[工学-水利水电工程] 08[工学] 081501[工学-水文学及水资源] 0815[工学-水利工程] 

基　　金：supported by the National Basic Research Program of China(Grant No.2006CB400502) the World Bank Cooperative Project(Grant No.THSD-07) the 111 Program of the Ministry of Education and the State Administration of Foreign Expert Affairs,China(Grant No.B08048) 

主　　题：hydrological model snowmelt-runoff model (SRM) Danish NedbФr-AfstrФmnings model (NAM) remote sensing runoff simulation and prediction snowmelt region unguaged basin Aksu River Basin 

摘      要：This study simulated and predicted the runoff of the Aksu River Basin, a typical river basin supplied by snowmelt in an arid mountain region, with a limited data set and few hydrological and meteorological stations. Two hydrological models, the snowmelt-runoff model （SRM） and the Danish NedbФr-AfstrФmnings rainfall-runoff model （NAM）, were used to simulate daily discharge processes in the Aksu River Basin. This study used the snow-covered area from MODIS remote sensing data as the SRM input. With the help of ArcGIS software, this study successfully derived the digital drainage network and elevation zones of the basin from digital elevation data. The simulation results showed that the SRM based on MODIS data was more accurate than NAM. This demonstrates that the application of remote sensing data to hydrological snowmelt models is a feasible and effective approach to runoff simulation and prediction in arid unguaged basins where snowmelt is a major runoff factor.