作　　者： ; ; ; ;

机构地区： 陕西师范大学旅游与环境学院

出　　处： 《安徽农业科学》 2011年第33期20872-20876,20895,共6页

摘　　要： [目的]比较4种空间插值方法的插值效果,分析研究区域降水空间分布特征。[方法]以陕西省关中—陕南地区为例,采用该地区72个气象观测站点59年的降水量资料,结合GIS空间插值技术,以国际科学数据共享服务网站30 m×30 m网格DEM为基础,选取IDW、普通克里金插值法、协同克里金插值法和径向基函数插值法对关中—陕南地区72个观测站多年平均降水量进行空间插值,并分区域随机选取其中10个站点的降水量数据对4种插值方法的插值效果进行检验,以此确定最佳插值方案,分析研究区域的降水空间分布特征。[结果]顾及地形因素的协同克里金插值效果最佳,并能真实地反应研究区域的降水空间分布特征,普通克里金法次之,反距离加权法和径向基函数法较差。对插值结果的进一步分析显示,该研究区域降水呈现明显的纬度地带性分布特征,且降水受地形、地貌等因素影响较大。[结论]顾及地形因素的协同克里金插值法效果最优,适用于该区域。 [Objective] To compare the effects of four spatial interpolation methods and analyze the temporal and spatial distribution of regional precipitation.[Method] With Guanzhong-South Shaanxi for example,according to 59 years＇ precipitation data of 72 meteorological observation stations,combining with GIS spatial interpolation technique and 30 m×30 m DEM from international scientific data sharing service platform,four interpolation methods（IDW,ordinary Kriging interpolation method,ordinary Cokriging interpolation method and radial basis function interpolation method） were adopted to do the spatial interpolation of average rainfall of 72 observatory stations in Guanzhong-South Shaanxi.Then the precipitation data of 10 stations were randomly selected to test the results of 4 interpolation methods so as to determine the optimal interpolation scheme and analyze the spatial distribution characteristic of precipitation.[Result] Ordinary Cokriging interpolation method was the best which took into account the terrain factors and could really reflect the rainfall spatial distribution characteristic of the study area.Ordinary Kriging was the second,IDW and RBF were the worst.Further study showed that precipitation distribution in the study area had apparent latitudes characteristics,and was greatly influenced by terrain and topography.[Conclusion] Ordinary Cokriging interpolation method taking into account the terrain factors was the best,which was suitable for the region.

关 键 词： 降雨量 空间插值 关中 陕南

领　　域： [天文地球]