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《Journal of China Hydrology》 2009-03
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Development and Application of Data-driven Model in Hydrological Forecasting for Weihe River Basin

HAO Chun-feng,ZHOU Zu-hao,JIA Yang-wen,DING Xiang-yi,CHEN Gen-fa(China Institute of Water Resources and Hydropower Research,Beijing 100044,China)  
There are two kinds of existing methods for hydrological forecasting,which are data-driven models and process-driven models.As the development of calculation and acquirement of hydrological data,data-driven models draw more attention in hydrological forecasting,such as regression models and neural network models.Firstly,this paper completed the interpolation of point rainfall to sub-basins based on the Reverse Distance Square(RDS) method or Thiessen Polygon method,which depend on the integrity of rainfall data.After that,autoregressive models were used for the precipitation forecasting of 10 districts of Grade 4 in the Weihe River Basin,and the results were corrected by gradually amendment of Year-Month-Ten days.For the runoff forecasting of 28 reservoirs in the Weihe River Basin,multiple linear regression model of precipitation-temperature-runoff was adopted,and the results are satisfying.
【Fund】: “十一五”国家科技支撑计划课题“黄河水资源管理关键技术及一体化管理机制研究”(2006BAB06B06);; 自然科学基金“黄土高原流域水文生态过程相互作用机制与耦合模拟”(50779074);; 自然科学基金“黄土高原水沙过程尺度效应与模拟”(50709041)
【CateGory Index】: P338.9
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