추계강우모형에서의 강우통계의 시간적 변동성 연구

• 영문명: Importance of the Temporal Variability of Rainfall Statistics in Stochastic Rainfall Modeling
• 발행기관: 한국방재학회
• 저자명: 김동균 이진우 조용식 Kim, Dong-Kyun Lee, Jin-Woo Cho, Yong-Sik
• 간행물 정보: 『3. 한국방재학회 학술대회논문집』2010년, 51~51쪽, 전체 1쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 2010.02.25

영문 초록

A novel approach of Poisson cluster stochastic rainfall generator was validated in its ability to reproduce important rainfall and watershed response characteristics at 104 locations of the United States. The suggested novel approach - The Hybrid Model(THM), as compared to the traditional ones, has an additional function to account for the year-to-year variability of rainfall statistics. The two-sample Kolmogorov-Smirnov test was used to see how well THM and traditional approach of Poisson cluster rainfall model reproduce the distribution of the following hydrologic variables: monthly maximum rainfall depths with 1, 3, 6, 12, and 24 hour duration, monthly maximum flow peaks at the virtual watersheds with Curve Number of 50, 60, 70, 80 and 90; and monthly runoff depths at the same virtual watersheds. In all of the testing variables, THM significantly outperformed the traditional approach. This result indicates that the year-to-year variability of rainfall statistics contains important information about the characteristics of rainfall processes that were not considered by the conventional approach of Poisson cluster rainfall modeling and that further considering it in rainfall simulation will enhance the performance of the rainfall models.

키워드

Poisson cluster Rainfall Precipitation Stochastic