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Modelling the Temporal and Spatial Variabilities of Precipitation in Zulihe River Basin of the Western Loess Plateau

ZHAO Chuan-yan1,FENG Zhao-dong2,NAN Zhong-ren3 (1.Linze National Field Station for Farmland Ecosystem,Cold and Arid Region Environmental and EngineeringResearch Institute,Chinese Academy of Sciences,Lanzhou 730000,China;2.National Laboratory of Western China's Environmental System,Lanzhou University,Lanzhou 730000,China;3.Environmental Science Department,Lanzhou University,Lanzhou 730000,China)  
Zulihe River,located in the west-central Chinese Loess Plateau,is one of major tributaries draining to Yellow River.Zulihe River basin is characterized by continental climate.Therefore,water is scarce resource.Precipitation is considered as the only source of water(i.e.,input) and varies both temporally and spatially in the study area.Understanding the temporal and spatial variations in precipitation are fundamental to quantitatively assess the possibility and the paths of ecological restoration and its hydrological effects.To accomplish this understanding,we first evaluate interpolation method commonly used to estimate areal precipitation in order to choose the appropriate model.In the study,we evaluated five methods such as multiple regression model,inverse distance weighted interpolation,Kriging interpolation,spline interpolation,and Trend surface interpolation.The results indicated that the trend surface model is the best one to estimate precipitation in the study area.Then the trend model was adjusted by regression model because trend model was neglect of topographic effect on precipitation.We found the adjusted model had higher accuracy than trend model.The temporal and spatial distributions of precipitation were estimated by combing trend surface interpolating model and regression model.Lower precipitation values are registered in the low valleys of Zulihe River.Higher precipitation values appear in the mountain regions.Annual mean precipitation increases 20 mm by increase of 100 m altitudes.Generally the precipitation decreases from the south to the north.
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