Study on the Rainfall Interpolation Algorithm of Distributed Hydrological Model Based on RS
Distributed hydrological model can be divided into two parts, as run-off and the convergence. Runoff calculation is the basis of distributed hydro-logical model, its results will determine the accuracy of the simulation results directly. Rainfall is an important input of runoff calculation, thus its accuracy has special significance to runoff calculation. For most small watershed, now mainly rely on rainfall stations to obtain rainfall information. In this case, the most effective approach is base on space correlativity principle, use the interpo-lation algorithm to obtain distributed rainfall data. Take XueYe reservoir 2000-2008 year of reality measures data as an example, we compared the apply condition of several kinds algorithm such as co-kriging interpolation, kriging interpolation, reverseweighted interpolation, and so on, prove that cokriging interpolation is most fit XueYe reservoir.
Distributed hydrological model Association Kriging interpolation Kriging interpolation Reverse-weighted interpolation
Xiaoxia Yang Yong Liang Song Jia
School of Information Science and Engineering,Shandong Agricultural University,Taian, Shandong Province, P. R. China, 271018
国际会议
南昌
英文
700-705
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）