摘要
选取新安江流域48个雨量站点2000-2010年的降雨量数据以及地理地形资料,利用反距离权重(IDW)、径向基函数(RBF)、普通克里金(OK)和残差克里金(RK)方法进行插值,根据交叉验证结果筛选最佳的方法和参数。结果表明:年尺度上,考虑高程、纬度等地形因子影响的RK方法插值精度最高,然后是IDW,OK和RBF;邻近站点的搜索策略对IDW插值精度影响较大;考虑各向异性的OK法插值精度较高,模型之间的差别不大。月尺度上,IDW法对降雨量丰富的月份插值精度较高;RBF对降雨较少且分布均匀的月份插值效果好;数据越符合正态分布,OK法的插值精度越高;RK方法则适用于降雨与地理因素相关性好的月份。
The paper selected precipitation and geographic terrain data of 48 rainfall gage stations in the Xin＇anjiang River basin from 2000 to 2010,and used inverse distance weight（IDW）,radial basis function（RBF）,ordinary Kriging（OK） and residual Kriging（RK） methods to interpolate and screened the best interpolation method and parameter according to the validated results.The results show that in annual scale the precision of RK method witch comprehensively considered the influences of elevation and latitude is the highest,then follows by IDW,OK and RBF;the search strategy of neighbor stations has greater impact on IDW interpolation accuracy;the precision of OK method witch considered anisotropic is higher,but the difference between the models is little.On monthly scale,the interpolation precision of IDW method to rich rainfall month is higher;the interpolation effect of RBF method to less and evenly distributed rainfall month is good;the data is more in accordance with normal distribution,the higher the interpolation accuracy of OK method;RK method is applicable to the month when the correlation between rainfall distribution and geographical factors is good.
出处
《水资源与水工程学报》
2013年第1期130-134,共5页
Journal of Water Resources and Water Engineering
基金
环保部环境规划院水污染防治综合项目(2012A012)
关键词
空间插值
反距离权重
径向基函数
克里金方法
新安江
spatial interpolation
inverse distance weight
radial basis function
Kriging method
Xin＇anjiang River
