한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제49권5호
  • /
  • Pages.373-380
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  • 2016
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  • 2799-8746(pISSN)
  • /
  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
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유전자 알고리즘과 CN Aligner 공식을 이용한 유출곡선지수 재산정

Redetermination of curve number using genetic algorithm and CN aligner equation

  • 박동혁 (한양대학교 대학원 건설환경공학과) ;
  • 강두선 (경희대학교 공과대학 사회기반시스템공학과) ;
  • 안재현 (서경대학교 공과대학 토목건축공학과) ;
  • 김태웅 (한양대학교 공학대학 건설환경플랜트공학과)
  • Park, Dong-Hyeok (Dept. of Civil and Environmental Engineering, Hanyang University) ;
  • Kang, Doo-Sun (Dept. of Civil Engineering, Kyunghee University) ;
  • Ahn, Jae-Hyun (Dept. of Civil Engineering, Seokyeong University) ;
  • Kim, Tae-Woong (Dept. of Civil and Environmental Engineering, Hanyang University)
  • 투고 : 2016.01.19
  • 심사 : 2016.03.07
  • 발행 : 2016.05.31
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초록

우리나라에서 유효우량을 구하는 방법은 미국의 NRCS-CN 방법을 채택하여 사용하고 있으나, 70%가 산악지역인 우리나라의 지형적인 특성과 담수재배를 하는 논의 유출특성이 반영되지 않고 있다. 이러한 문제점으로 인해 NRCS-CN 방법으로 유효우량을 산정하는 경우 실제의 강우-유출 특성을 정확히 반영하지 못하고 있다. 정확한 실험과 연구를 통하여 우리나라의 토지이용 분류기준에 따른 유출곡선지수를 산정해야 하지만 현실적으로 어려움이 있다. 따라서 본 연구에서는 대상지역을 선정하고 유출분석을 실시하여 대상지역의 유출곡선지수를 재산정하였다. 이를 위하여 먼저 유전자 알고리즘을 적용하여 토양형 A에 대한 유출곡선지수를 산정하고, 토양형 A의 유출곡선지수를 CN aligner 공식에 적용하여 나머지 토양형 B, C, D에 대한 유출곡선지수를 추정하였다. 초기 유출곡선지수와 계산된 유출곡선지수를 비교한 결과, 천왕은 0, 춘양은 -1, 장기는 -3의 차이를 보였다. 위와 같은 과정을 통하여 실제 강우-유출을 반영할 수 있는 토지이용 분류기준에 따른 유출곡선지수를 제시하였다.

The NRCS-CN (Natural Resources Conservation Service-Curve Number) method has been practically applied for estimating the effective precipitation. However, there are no criteria which reflect the geographic characteristics of Korea having more than 70% of mountainous and rice paddy areas, leading to significant errors in runoff calculation. Thus, it is required to estimate the runoff curve number considered Korea land use classification, however there are practical difficulties to conduct the accurate research and experimentation. In this study, after selecting target areas (urban, agriculture, forest), we performed the runoff analysis to redetermine CN values for the selected basins. To do this, curve numbers for soil type A were estimated using genetic algorithm, and then curve numbers for soil type (B, C, D) were estimated using CN aligner equation. Comparing the initial curve numbers with the estimated curve numbers, it was observed that the slightly differences at Chunwang(0), Choonyang(-1), Janggi(-3). Through the above process, this study proposed new curve numbers to reflect observed rainfall-runoff.

키워드

참고문헌

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