疏勒河灌区地下水埋深空间插值方法比较  

Comparison of Spatial Interpolation Methods for Groundwater Depth in Shule River Basin

作　　者：蒋庆[1] 

机构地区：[1]中科院合肥智能机械研究所,合肥230031

出　　处：《节水灌溉》2013年第7期62-64,共3页Water Saving Irrigation

基　　金：甘肃省疏勒河流域信息化平台建设(0704-0610CNCCCSLH/02);国家自然科学基金(91024008;61203373);院军合作精准农业系统课题(KSCX2-EW-N-09)

摘　　要：利用反距离加权(Inverse Distance Weighting,IDW)和普通克里格(Ordinary Kriging,OK)插值方法,对疏勒河灌区近6a3月份地下水埋深平均值数据进行插值运算,根据交叉验证结果和等值面图综合评定,OK为最适合疏勒河灌区地下水埋深数据的插值方法。对地下水埋深数据进行探索性空间数据分析,结果显示,埋深数据具有离散性大、存在极大和极小值、呈正偏分布等特点。而数据转化能大大减小数据的离散性和不对称性,有效消除插值结果图中各类插值噪音。交叉验证显示,对数转化能提高OK的插值精度。To understand the spatial interpolation optimization laws of groundwater depth,we compared two different methods of spatial interpolation：inverse distance weighting（IDW）,Ordinary Kriging（OK）,using the mean of recorded groundwater depth in the Shule river basin,China,in March form 2001to 2006.The result indicate that the accuracy of the OK is the highest.After exploratory spatial analysis for groundwater data,The results indicate that the groundwater depth is charactered by high dispersion,with a few outliers,and a positively skewed distribution.However,data transformation reduces the variances and skewed distribution,and effectively removes various interpolation noises in the interpolation surfaces.The cross-validation results indicates that data transformation can improve accuracy of the OK.

关 键 词：空间插值 灌区 克里格法 地下水埋深 探索性空间数据分析 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP301.6[自动化与计算机技术—控制科学与工程]