基于地统计学的柬埔寨年降水量数据空间插值

为了更好地分析区域水资源量、水文平衡及灌溉需水量,需要对降水的时空分布进行定量分析。由于气象站点布设的局限性,针对资料短缺地区的空间插值就显得尤为重要。以柬埔寨的20个气象站降水数据为插值实验样本,研究基于Arc GIS的空间插值和分析功能,探讨普通克里金、简单克里金、析取克里金及经验贝叶斯克里金法等4种地统计学插值法的优劣及其适用性。通过插值误差分析来检验插值精度,并模拟年降水量的空间分布图来进行比较分析,结果表明经验贝叶斯克里金插值法最优。研究结果可为资料短缺地区降水量空间插值提供参考。

Spatial interpolation of annual precipitation data in Cambodia based on geostatistics

To better analyze regional water resources, achieve hydrological balance and irrigation requirements, quantitative analysis on spatial interpolation of precipitation is rather necessary. Due to the limitations in the layout of meteorological stations, spatial interpolation is particularly important for ungauged regions. Based on the spatial interpolation of the ArcGIS, precipitation data collected from twenty hydrological stations in Cambodia were used as experimental samples to discuss the advantages and disadvantages of four interpolation methods including Ordinary Kriging, Simple kriging, disjunctive Kriging and Empirical Bayesian Kriging (EBK), as well as their feasibility. Error analysis is used for verifying the accuracy of interpolation, and spatial distribution map of annual precipitation is used for comparison analysis. The results show that EBK is the optimal method.