The purpose of this research is to understand the change of runoff characteristics by estimated spatial rainfall. Therefore, this paper largely composed of two parts. First, we compared the simulated result according to estimation method, ID(Inverse Distance Method, ID2(Inverse Square Distance Method), and Kr(General Covariance Kriging Method), after letting miss rainfall data to the observed data. Second, we reviewed the runoff characteristics of the distributed runoff model according to the estimated spatial rainfall. On the basis of Yuseong water level station, we select the target basin as Gabchun watershed. We assumed 1 point or 2 point of the 6 rainfall gauge stations in watershed were missed. We applied the spatial rainfall distributed by Kr to Hy-GIS GRM, distributed runoff model. When 1 point rainfall data is missed, Kr is superior to others in point rainfall estimation and runoff estimation of Hy-GIS GRM. However, in case rainfall data of 2 points is missed, all of three methods did not give suitable result for them. In conclusion, Kr showed better applicability than other estimated methods if rainfall’s data less than 2 points is missed.

Abstract
 1. 서 론
 2. 재료 및 방법
  2.1. 범용 공분산 Kriging 기법
  2.2. HyGIS-GRM 모형
  2.3. 대상유역
 3. 결과 및 고찰
  3.1. 강우 결측보완방법에 따른 각 지점의 오차 분석
  3.2. 강우결측보완방법에 따른 분포형모형의 유출 모의
  3.3. 결과 고찰
 4. 결 론
 참 고 문 헌

• 최용준(충남대학교 토목공학과) | Yong-Joon Choi (Department of Civil Engineering, Chungnam National University)
• 김연수(충남대학교 토목공학과) | Yeon-Su Kim (Department of Civil Engineering, Chungnam National University)
• 이기하(충남대학교 토목공학과) | Gi-Ha Lee (Department of Civil Engineering, Chungnam National University)
• 김주철(한국수자원공사 K-water연구원) | Joo-Cheol Kim (Korea Institute of Water and Environment, Korea Water Resources Corporation) Corresponding Author