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집중호우 사상을 고려한 Huff의 4분위법 개선방안

Improvement of Huff's Method Considering Severe Rainstorm Events

  • 최소영 (연세대학교 산업기술연구소) ;
  • 주경원 (연세대학교 토목환경공학과 대학원) ;
  • 신홍준 (연세대학교 토목환경공학과 대학원) ;
  • 허준행 (연세대학교 공과대학 사회환경시스템공학부)
  • Choi, Soyung (Institution of Industrial Technology, Yonsei University) ;
  • Joo, Kyungwon (School of Civil and Environmental School, Yonsei University) ;
  • Shin, Hongjoon (School of Civil and Environmental School, Yonsei University) ;
  • Heo, Jun-Haeng (School of Civil and Environmental School, Yonsei University)
  • 투고 : 2014.07.21
  • 심사 : 2014.09.23
  • 발행 : 2014.11.30

초록

수공구조물을 설계함에 있어 설계우량주상도를 결정하기 위해 설계강우량을 시간분포시키는 방법은 매우 중요하다. 우리나라에서 널리 쓰이는 Huff 방법의 경우 MOCT(2000), MOLTMA (2011)에서 적용성을 높여왔으나, 기존 Huff (1967) 방법과 똑같은 기각기준으로 강우총량 1 inch (25.4mm)를 제시하고 있다. 따라서 본 연구에서는 Huff 방법 적용시 자료 기각기준을 집중호우기준에 따라 극치사상만을 분석하는 시간분포방법을 제안하였고, 이를 실제유역에 적용시켜 강우-유출모형을 통한 검증을 실시하였으며 목적함수 비교를 통해 실제유역의 적용성을 확인하였다. 그 결과 첨두유출량의 과소산정 문제를 보완하여 실제 첨두유출량에 더 가까운 유출수문곡선을 제시함으로써 수공구조물 설계의 안정성을 높일 수 있을 것으로 판단된다.

When designing hydraulic structures, the chosen method of time distribution in a hyetograph is highly significant. There are several methods used for measuring time distribution. In the case of Huff (1967), which is widely used in Korea, the Ministry of Construction and Transportation (MOCT, 2000), and the Ministry of Land, Transport and Maritime Affairs (MOLTMA, 2011) have long been increasing their use of this method. The MOLTMA uses the conventional Huff method's measurement of 1 inch (25.4 mm) as the threshold. Many researchers have pointed out that this method often leads to underestimation, because of the excessive flatness. Therefore, for this study, a new time distribution method was developed to analyze only extreme rainfall events-those over the standard of severe rainstorms (that is, more than 30 mm per hour or 80 mm per day)-and that was verified using a rainfall-runoff model and applying it to a real basin.

키워드

참고문헌

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피인용 문헌

  1. Development of a Rainfall Time Distribution Considering Characteristics of Temporal Variability of Extreme Rainfall Events vol.15, pp.4, 2015, https://doi.org/10.9798/KOSHAM.2015.15.4.23
  2. Evaluation of Rainfall Temporal Distribution Models with Annual Maximum Rainfall Events in Seoul, Korea vol.10, pp.10, 2018, https://doi.org/10.3390/w10101468
  3. Analysis of the Temporal Distribution of Rainfall Using the Heavy Storm Distribution Method Reflecting Concentrated Duration Characteristics in Busan vol.18, pp.7, 2018, https://doi.org/10.9798/KOSHAM.2018.18.7.613