Research of adaptation of local combined rainfall spatial interpolation method
[Objective]For scenarios there are significant differences in terrain elements such as elevation and slope in different sub-regions in a basin,using single rainfall spatial interpolation method will affect the accuracy of rainfall interpolation result.In order to reduce the influence of the underlying surface difference on the accuracy of rainfall interpolation,[Methods]taking the Andi reservoir basin as an example.9 schemes include Kriging,Inverse Distance Weight(IDW),Natural Neighborhood(NN),and their pairwise combinations are used to compare the accuracy of rainfall interpolation in this study.By comparing the rainfall interpolation effects of different rainfall interpolation method and their combinations,and scenarios with different rainfall station numbers,the adaptability of the combined rainfall spatial interpolation method is studied.[Results]The results show that:(1)The rainfall obtained by local combined interpolation and overall single interpolation method has significant differences in gradient changes,spatial distribution,and both sides of the sub-regions boundary.The result of local combined interpolation method are superior to overall single interpolation methods.(2)IDW is used in the northeast area of the Andi reservoir basin and NN in the southwest area,the average MRE values of different rainfall events and different stations is 1.11％and the average MRE values of the maximum and minimum values are 1.51％and 5.30％,respectively.This scheme has the highest accuracy.(3)Under the same interpolation scheme,the rainfall interpolation accuracy has significantly decreased when the interpolation stations are uniformly reduced.[Conclusion]The research conclusion is as follows:When the number of rainfall stations is fixed,and there are significant differences in the spatial terrain of the basin and the effectiveness of multiple interpolation method is equivalent,local combined interpolation can integrate the characteristics of multiple interpolation method,making the interpolation method more suitable for the local characteristics of the watershed and improving interpolation accuracy.This study has certain theoretical significance and reference value for solving the problem of rainfall spatial interpolation with significant differences in the spatial distribution of watershed topography and geomorphology.
rainfall spatial interpolationspatial differences in subsurfacesingle interpolationcombined interpolationlocal adaptationprecipitation
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