This study was conducted to investigate the correlation between the distribution chart and input data of the predicted 3-second gust and damage cost, by using the forecast field and analysis field of Regional Data Assimilation Prediction System (RDAPS) as initial input data of Korea risk assessment model (RAM) developed in the preceding study. In this study the cases of typhoon Rusa which caused occurred great damage to the Korean peninsula was analyzed to assess the suitability of initial input data. As a result, this study has found out that the distribution chart from the forecast field and analysis field predicted from the point where the effect due to the typhoon began had similarity in both 3-second gust and damage cost with the course of time. As a result of examining the correlation, the 3-second gust had over 0.8, and it means that the forecast field and analysis field show similar results. This study has shown that utilizing the forecast field as initial input data of Korea RAM could suit the purpose of pre-disaster prevention.

Abstract
 1. 서 론
 2. 자료 및 연구방법
  2.1. 자료
  2.2. 연구방법
 3. 결과 및 고찰
  3.1. VG 와 최대피해액 분포
 4. 결론
 REFERENCE

• 박종길(인제대학교 건설환경공학부/대기환경정보연구센터) | Jong-Kil Park (Department of Civil and Environmental Engineering/Atmospheric Environment Information Research Center, Inje University)
• 이보람(인제대학교 대기환경정보공학과/대기환경정보연구센터) | Bo-Ram Lee (Department of Atmospheric Environment Information Engineering/Atmospheric Environment Information Research Center, Inje University)
• 정우식(인제대학교 대기환경정보공학과/대기환경정보연구센터) | Woo-Sik Jung (Department of Atmospheric Environment Information Engineering/Atmospheric Environment Information Research Center, Inje University) Corresponding author