A Study on the Interpolation of Missing Rainfall : 1. Methodologies and Weighting Factors

결측 강우량 보정방법에 관한 연구: 1. 방법론 및 가중치 산정

  • Published : 2006.08.01

Abstract

Rainfall is the most basic input data to analyze the hydrologic system. When we measure the rainfall data, the rainfall data can be missing due to various reasons. Therefore, various interpolation methods are available for compensating the missing data. However, the interpolation methods were used without considering their applicability and accuracy. This study compares the interpolation methods such as the arithmetic mean method, normal ratio method, modified normal ratio method, inverse distance method, linear programming, Kriging method to estimate the existing rainfall correction method.

Keywords

hydrologic system;interpolation methods;linear programming;Kriging method