공간가중회귀모형을 활용한 일강수량 공간 상세화

다국어 초록 (Multilingual Abstract)

Various spatial downscaling methods have been developed since the downscaled hydrological and meteorological data from point measurements can be used for input data of hydrological analysis. Each of the methods, however, have the pros and cons and there is a lot of difference between the results of the methods so that the practical application of the methods is not easy. Also, there have been not comparison and verification for each spatial downscaling method in Korea. Therefore it needs to investigate the spatial downscaling methods and assess the downscaled data for the determination of the optimal spatial downscaling method.
This study applied the geographically weighted regression model to twelve events and examined the downscaled daily rainfall.
As a result, the downscaled daily rainfall by the geographically weighted regression model was similar to the downscaled daily rainfall by the multi-quadric interpolation method when the rainfall correlated with the elevation. However, the downscaled daily rainfall by the geographically weighted regression model was smoothed with the daily rainfall of adjacent basins. It has been found that only using elevation as an independent variable of the model has a limit to reflect the Korean geographic feature.

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