SPATIAL INTERPOLATION OF RAINFALL BASED ON DEM
A modified cokriging based on DEM(MCK) is developed in this paper, which could increase the impact of elevation in the spatial interpolation of rainfall by avoiding all secondary data weights to summing to zero while the unbiased estimation of this method is ensured. This technique is illustrated using monthly rainfall observations in Luan River basin. Cross validation is used to compare the prediction performance of MCK with Thiessen polygon, Inverse square distance, OK and CK. Results show that smaller prediction errors are obtained by MCK that account for elevation as a secondary variable to interpolate monthly rainfall. Additionally, MCK could yield more accurate predictions than OK when the correlation coefficient between rainfall and elevation is more than 0.71 in the case study.
spatial interpolation cokriging DEM OK CK
Bing Huang Tiesong Hu
State Key Lab of Water Resources and Hydropower Engineering Science, School of Water Resource and Hydropower, WhuHan University, WuHan City, HuBei province
国际会议
第16届亚太地区国际水利学大会暨第3届水工水力学国际研讨会(16th IAHR-APD Congress and 3rd Symoposium of IAHR-ISHS)
南京
英文
77-81
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）