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미계측 유역의 홍수피해분석을 위한 자연유량의 홍수지표 기반 확률홍수량 산정Estimation of Flood Quantile in Ungauged Watersheds for Flood Damage Analysis Based on Flood Index of Natural Flow

Other Titles
Estimation of Flood Quantile in Ungauged Watersheds for Flood Damage Analysis Based on Flood Index of Natural Flow
Authors
채병석최시중안재현김태웅
Issue Date
Feb-2018
Publisher
대한토목학회
Keywords
설계 강우-유출 관계 분석법; 홍수빈도해석법; 지역빈도해석법; 자연유량; Design rainfall-runoff analysis; Flood frequency analysis; Regional frequency analysis; Natural flow
Citation
대한토목학회논문집(국문), v.38, no.1, pp 175 - 182
Pages
8
Indexed
KCI
Journal Title
대한토목학회논문집(국문)
Volume
38
Number
1
Start Page
175
End Page
182
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/7523
DOI
10.12652/Ksce.2018.38.1.0175
ISSN
1015-6348
2287-934X
Abstract
본 연구에서는 설계 강우-유출 관계 분석법으로 산정된 값을 지역빈도해석 기법을 바탕으로 보정하여 미계측 유역에서의 확률홍수량을 산정하는 방법을 제안하였다. 홍수빈도해석법과 설계 강우-유출 관계 분석법을 비교·분석한 결과, 설계 강우-유출 관계 분석법으로 산정된 확률홍수량이 약 52% 과대 산정되는 것으로 나타났다. 또한, 미계측 유역의 확률홍수량을 산정하기 위해서 유역 특성인자를 자연유량으로 지표화 하여 지역빈도해석법을 수행하였다. 이와 같은 세 가지 방법의 설계홍수량 산정법을 기반으로 미계측 유역을 대상으로 적용할 수 있는 보정식을 도출하였다. 미계측 유역에 대한 적용성을 검토하기 위해 Leave-One-Out Cross-Validation 기법과 Skill Score 기법을 적용하였다. 그 결과, 정확도가 기존의 설계 강우-유출 관계 분석법보다 23.2% 증가한 것으로 나타났다.
In this study, flood quantiles were estimated at ungauged watersheds by adjusting the flood quantiles from the design rainfall - runoff analysis (DRRA) method based on regional frequency analysis. Comparing the flood frequency analysis (FFA) and DRRA, it was found that the flood quantiles estimated by the DRRA method were overestimated by 52%. In addition, a practical method was suggested to make an flood index using natural flows to apply the regional frequency analysis (RFA) to ungauged watersheds. Considering the relationships among DRRA, FFA, and RFA, we derived an adjusting formula that can be applied to estimate flood quantiles at ungauged watersheds. We also employed Leave-One-Out Cross-Validation scheme and skill score to verify the method proposed in this study. As a result, the proposed model increased the accuracy by 23.2% compared to the existing DRRA method.
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ERICA 공학대학 (DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING)
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