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      점근유출곡선지수법을 이용한 소유역 유출곡선지수 산정 및 최적 초기손실률 결정 = Using asymptotic curve number regression method estimation of NRCS curve number and optimum initial loss ratio for small watersheds

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      https://www.riss.kr/link?id=A104138107

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      다국어 초록 (Multilingual Abstract)

      Two main parameters of NRCS-CN method are curve numbers and intial loss ratio. They are generally selected according to the guideline of US National Engineering Handbook, however, they might cause errors on estimated runoff in Korea because there are differences between soil types and hydrological characteristics of Korean watersheds and those of United States. In this study, applying asymptotic CN regression method, we suggested eight modified NRCS-CN models to decide optimum runoff estimation model for Korean watersheds. RSR (RMSE-observations standard deviation ratio) and NSE (Nash-Sutcliffe efficiency) were used to evaluate model performance, consequently M6 for gauged basins (Avg. RSR was 0.76, Avg. NSE was 0.39) and M7 for ungauged basins (Avg. RSR was 0.82, Avg. NSE was 0.31) were selected. Furthermore it was observed that initial loss ratios ranging from 0.01 to 0.10 were more adequate than the fixed ${\lambda}=0.20$ in most of basins.
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      Two main parameters of NRCS-CN method are curve numbers and intial loss ratio. They are generally selected according to the guideline of US National Engineering Handbook, however, they might cause errors on estimated runoff in Korea because there are ...

      Two main parameters of NRCS-CN method are curve numbers and intial loss ratio. They are generally selected according to the guideline of US National Engineering Handbook, however, they might cause errors on estimated runoff in Korea because there are differences between soil types and hydrological characteristics of Korean watersheds and those of United States. In this study, applying asymptotic CN regression method, we suggested eight modified NRCS-CN models to decide optimum runoff estimation model for Korean watersheds. RSR (RMSE-observations standard deviation ratio) and NSE (Nash-Sutcliffe efficiency) were used to evaluate model performance, consequently M6 for gauged basins (Avg. RSR was 0.76, Avg. NSE was 0.39) and M7 for ungauged basins (Avg. RSR was 0.82, Avg. NSE was 0.31) were selected. Furthermore it was observed that initial loss ratios ranging from 0.01 to 0.10 were more adequate than the fixed ${\lambda}=0.20$ in most of basins.

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      참고문헌 (Reference)

      1 박동혁, "유효우량 산정을 위한 NRCS-CN 모형의 초기손실량 산정방법 개선" 한국수자원학회 48 (48): 491-500, 2015

      2 박동혁, "유전자 알고리즘과 CN Aligner 공식을 이용한 유출곡선지수 재산정" 한국수자원학회 49 (49): 373-380, 2016

      3 김정호, "국내 산악지역의 유출곡선지수 산정 문제점 평가" 한국방재학회 14 (14): 293-298, 2014

      4 Baltas, E. A., "Technical note: Determination of the SCS initial abstraction ratio in an experimental watershed in Greece" 11 (11): 1825-1829, 2007

      5 Mishra, S. K., "Soil Conservation Service Curve Number (SCS-CN) methodology" Kluwer Academic Publishers 2003

      6 Tedlela, N. H., "Runoff curve number for 10small forested watersheds in the mountains of the eastern United States" 17 (17): 1188-1198, 2012

      7 Shi, Z. -H., "Research on the SCS-CN initial abstraction ratio using rainfall-runoff event analysis in the Three Gorges Area, China" 77 (77): 1-7, 2009

      8 Ajmal, M., "Quantifying excess stormwater using SCS-CN-based rainfall runoff models and different curve number determination methods" 141 (141): 04014058-, 2015

      9 Jain, M. K., "On the Ia-S relation of the SCS-CN method" 37 (37): 261-2875, 2006

      10 문건우, "NRCS-CN 방법을 이용한 유효우량 산정기법의 비교분석: 가중평균방법과 경사도 도입을 중심으로" 대한토목학회 34 (34): 1171-1180, 2014

      1 박동혁, "유효우량 산정을 위한 NRCS-CN 모형의 초기손실량 산정방법 개선" 한국수자원학회 48 (48): 491-500, 2015

      2 박동혁, "유전자 알고리즘과 CN Aligner 공식을 이용한 유출곡선지수 재산정" 한국수자원학회 49 (49): 373-380, 2016

      3 김정호, "국내 산악지역의 유출곡선지수 산정 문제점 평가" 한국방재학회 14 (14): 293-298, 2014

      4 Baltas, E. A., "Technical note: Determination of the SCS initial abstraction ratio in an experimental watershed in Greece" 11 (11): 1825-1829, 2007

      5 Mishra, S. K., "Soil Conservation Service Curve Number (SCS-CN) methodology" Kluwer Academic Publishers 2003

      6 Tedlela, N. H., "Runoff curve number for 10small forested watersheds in the mountains of the eastern United States" 17 (17): 1188-1198, 2012

      7 Shi, Z. -H., "Research on the SCS-CN initial abstraction ratio using rainfall-runoff event analysis in the Three Gorges Area, China" 77 (77): 1-7, 2009

      8 Ajmal, M., "Quantifying excess stormwater using SCS-CN-based rainfall runoff models and different curve number determination methods" 141 (141): 04014058-, 2015

      9 Jain, M. K., "On the Ia-S relation of the SCS-CN method" 37 (37): 261-2875, 2006

      10 문건우, "NRCS-CN 방법을 이용한 유효우량 산정기법의 비교분석: 가중평균방법과 경사도 도입을 중심으로" 대한토목학회 34 (34): 1171-1180, 2014

      11 Ajmal, M., "Investigation of SCS-CN and its inspired modified models for runoff estimation in South Korea watersheds" 9 (9): 592-603, 2015

      12 Yuan, Y., "Initial abstraction and curve numbers for semiarid watersheds in Southeastern Arizona" 28 (28): 774-783, 2014

      13 Beck, H. E., "Improving curve number based strom runoff estimates using soil moisture proxies" 2 (2): 250-259, 2009

      14 Sloto, R. A., "HYSEP: A computer program for streamflow hydrograph separation and analysis" U.S. Geological Survey 1996

      15 Kowalik, T., "Estimation of CN parameter for small agricultural watersheds using asymptotic functions" 7 (7): 939-955, 2015

      16 Ahn, J. -H., "Development of equations for time of concentration and storage coefficient available for Korean watersheds" 50 (50): 26-31, 2017

      17 Ministry of Land, Transport and Maritime Affairs, "Design flood estimation guidelines"

      18 D’Asaro, F., "Curve number:empirical evaluation and comparison with curve number handbook tables in Sicily" 19 (19): 04014035-, 2014

      19 Hawkins, R. H., "Curve number hydrology: State of the practice" American Society of Civil Engineers 2009

      20 Hawkins, R. H., "Asymptotic determination of runoff curve number from data" 119 (119): 334-343, 1993

      21 Ryu, J., "Approach of land cover based asymptotic curve number regression equation to estimate runoff" 65 (65): 94-104, 2016

      22 Mishra, S. K., "An improving -S relationship incorporating antecedent moisture in SCS-CN methodology" 20 (20): 643-660, 2006

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
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      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2000-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.5 0.5 0.57
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.55 0.54 0.781 0.22
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