• 제목/요약/키워드: flood runoff

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신경회로망을 이용한 Web기반 홍수유출 예측시스템 (Web-Based Forecasting System for Flood Runoff with Neural Network)

  • 황동국;전계원
    • 한국지능시스템학회논문지
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    • 제15권4호
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    • pp.437-442
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    • 2005
  • 하천에서의 홍수유출 예측은 하천의 치수적인 측면에서도 중요하다. 본 논문에서는 신경회로망 모형을 이용해서 개발된 홍수유출 예측 시스템의 적용성을 검토하였다. 입력층에는 강우자료와 홍수량 자료를 출력층에는 홍수유출량이 예측되도록 구성하였다. 홍수유출 예측 시스템 구성시 예측모형 선정을 위해 신경회로망 모형과 상태공간 모형을 이용하여 홍수시 실시간 하천유출량 예측을 수행하였다. 두 모형의 예측결과 비교시 신경회로망 모형이 실시간 홍수량 예측에 적합한 모형으로 선정되었다. 신경회로망 모형은 Web 상에서 사용이 가능하게 변환하여 홍수유출 예측시스템의 기본모형으로 개발하였다.

탱크 모델에 의한 홍수(洪水) 유출량(流出量) 해석(解析)에 관(關)한 연구(硏究) (A study on the flood runoff analysis with TANK MODEL)

  • 홍창선;최한규
    • 산업기술연구
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    • 제3권
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    • pp.95-101
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    • 1983
  • This study aims at the determination of the coefficienties of runoff and infiltration affecting runoff. The rating curve is more available than the peak flood runoff to determine flood control plan of flood control reservoir and the volume of hydroelectric power plant, or to make multipurpose dam. In hydrologic analysis and design, it is necessary to develop relations between precipitation and runoff, possible using some of the factors affecting runoff as parameters. In order to calculate the runoff discharge, the runoff process constituting elements are divided to the surface runoff, the subsurface runoff and the groundwater runoff. By comparing the computed hydrograph with the measured hydrograph, determinned the watershed TANK Model constant Varying the tank model constant for approximating the computed hydrograph to the measured hydrograph.

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우수저류시설의 배치방법에 따른 유출 및 침수피해 저감효과 분석 (Analyzing the Reduction of Runoff and Flood by Arrangements of Stormwater Storage Facilities)

  • 박창열;신상영;손은정
    • 한국물환경학회지
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    • 제29권1호
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    • pp.45-54
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    • 2013
  • This study analyzes the reduction effects of runoff and flood damage through different arrangements of stormwater storage facilities. Three scenarios based on the spatial allocation of storage capacity are used: concentrated, decentralized and combinative. The characteristics of runoff and flood damage by scenario are compared. The XP-SWMM model is used for runoff simulation by the probable rainfall of return period. The result shows that the concentrated arrangement of storage facilities is most effective to reduce the amount of peak flow and to delay the time of peak flow. Yet, while the concentrated arrangement is most effective to reduce the inundation damage, it is not effective to reduce runoff volume. The decentralized arrangement is most effective to reduce runoff volume. The combinative arrangement is effective not only the runoff reduction but also the reduction of flood damage. The result indicates that the flood mitigation strategies against heavy rainfall need to consider decentralized on-site arrangement for the reduction of runoff volume along with concentrated off-site arrangement of storage facilities.

홍수 예.경보 체계 개발을 위한 연구 - 화옹호 유역의 유역 확률홍수량 산정 - (Computing Probability Flood Runoff for Flood Forecasting & Warning System - Computing Probability Flood Runoff of Hwaong District -)

  • 김상호;김한중;홍성구;박창언;이남호
    • 한국농공학회논문집
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    • 제49권4호
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    • pp.23-31
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    • 2007
  • The objective of the study is to prepare input data for FIA (Flood Inundation Analysis) & FDA (Flood Damage Assessment) through rainfall-runoff simulation by HEC-HMS model. For HwaOng watershed (235.6 $km^{2}$), HEC-HMS was calibrated using 6 storm events. Geospatial data processors, HEC-GeoHMS is used for HEC-HMS basin input data. The parameters of rainfall loss rate and unit hydrograph are optimized from the observed data. HEC-HMS was applied to simulate rainfall-runoff relation to frequency storm at the HwaOng watershed. The results will be used for mitigating and predicting the flood damage after river routing and inundation propagation analysis through various flood scenarios.

신경망 모형을 이용한 홍수유출 예측시스템의 재발 (A Development of System for Flood Runoff Forecasting using Neural Network Model)

  • 안상진;전계원
    • 한국수자원학회논문집
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    • 제37권9호
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    • pp.771-780
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    • 2004
  • 본 논문에서는 신경망 모형을 이용해서 개발된 홍수유출 예측 시스템의 적용성을 검토하였다. 홍수유출 예측을 위한 신경망 모형을 공주, 부여지점에 적용하였으며, 신경망 모형을 입력층, 은닉층, 출력층으로 구성하였다. 입력층에는 강우자료와 홍수량 자료를 출력층에는 홍수유출량이 예측되도록 구성하였다. 홍수유출 예측 시스템 구성시 예측모형 선정을 위해 신경망 모형과 상태공간 모형을 이용하여 홍수시 실시간 하천유출량 예측을 수행하였다. 두 모형의 예측결과 비교시 신경망 모형이 실시간 홍수량 예측에 적합한 모형으로 선정되었다. 신경망 모형은 Web 상에서 사용이 가능하게 변환하여 홍수유출 예측시스템의 기본모형으로 개발되었다. Web 기반 모형으로 개발된 신경망 모형을 서버에 탑재하고 금강수계의 본류와 주요 지점에 적용하여 Web 상에서 개발된 모형의 적용성을 검증하였다.

국립공원내 홍수피해 저감을 위한 미계측 산림지역의 설계홍수량 추정 (Estimation of Design Flood Runoff in Ungaged Forest Watershed to Reduce Flood Damage within the National Park)

  • 김상민;임상준;이상호;김형호;마호섭;정원옥
    • 한국농공학회논문집
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    • 제51권5호
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    • pp.107-113
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    • 2009
  • The purpose of this study is to estimate the design flood runoff for ungaged forest watershed to reduce the flood damage in national park. Daewonsa watershed in Jirisan National Park was selected as study watershed, of which characteristic factors were obtained from GIS data. Flood runoff was simulated using SCS unit hydrograph module in HEC-HMS model. SCS Curve Number (CN) was calculated from forest type area weighted average method. Huff's time distribution of second-quartile storm of the Sancheong weather station, which is nearest from study watershed, was used for design flood runoff estimation. Critical storm duration for the study watershed was 3 hrs. Based on the critical duration, the peak runoff for each sub-watershed were simulated. It is recommended to monitor the long-term flow data for major stream stations in National Park for a better reliable peak runoff simulation results.

유출특성 분포함수의 표준화를 통한 종합홍수지수의 개발 (Development of a Comprehensive Flood Index through Standardizing Distributions of Runoff Characteristics)

  • 위성욱;정건희;김태웅
    • 한국수자원학회논문집
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    • 제41권6호
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    • pp.605-617
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    • 2008
  • 본 연구에서는 우리나라 홍수유출의 특성을 종합적으로 표현할 수 있는 홍수지수를 개발하였다. 홍수유출특성을 종합적으로 지수에 반영하기 위하여 유출곡선으로 표현되는 홍수유출의 특성을 홍수수문곡선의 상승률, 첨두유량, 홍수 응답시간, 첨두발생 전 홍수용적 등 4가지의 특성인자로 표현하였다. 이러한 유출특성인자를 객관적인 상대심도로 표현하기 위하여 본 연구에서는 특성인자의 분포함수를 표준정규분포함수로 변환하여 특성지수를 산정하였다. 본 연구에서 산정한 종합홍수지수(Comprehensive Flood Index, CFI)는 기존의 돌발홍수지수(Flash Flood Index, FFI)의 문제점을 보완한 것으로 홍수의 심도를 유역별로 상대평가할 수 있는 특징이 있다. 본 연구에서는 한강과 설마천 유역에 대하여 CFI를 산정하고, 상관분석과 회귀분석을 통해 FFI와 비교 평가하였다. CFI는 산정과정에서 특정 홍수유출 특성에 지배받지 않아 종합적으로 홍수유출특성을 표현할 수 있고, FFI에 비해 강우-유출관계를 효과적으로 설명할 수 있었다.

논유출 특성을 고려한 홍수분석 시스템 개발 (Development of Flood Analysis System(FAS) based on runoff characteristics of paddy basin)

  • 김현영;황철상;강석만;이광야
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 1998년도 학술발표회 발표논문집
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    • pp.34-40
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    • 1998
  • The existing flood runoff models, Complex Hydrograph and HEC-1, have some problems which do not properly represent runoff characteristics on the Korean paddy basin and their basin slopes. In this study, FAS(Flood Analysis System) was developed in order to supplement those problems, which was built calibrating runoff curve number for paddy basin and applying basin slopes to classify 5 levels. And also the FAS can synthesize the flood hydrographs of subbasin and analyze flood routing along a stream. To verify the applicability of the FAS, the computed flood hydrographs were compared with the observed hydrographs from the four watersheds. In the small basin smaller than 10$\textrm{km}^2$, the results of the FAS did not completely agree with the observed ones due to concentration time delay of paddy storage effect while in the medium and large size basin showed good agreements between the observed and computed ones. Therefore, it was concluded that the FAS could be applied for the flood analysis of Korean watershed which was characterized by paddy storage effect.

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Nonlinear runoff during extreme storms in the Seolma-Cheon watershed

  • Kjeldsen, Thomas Rodding;Kim, Hyeonjun;Jang, Cheolhee;Lee, Hyosang
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2015년도 학술발표회
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    • pp.235-235
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    • 2015
  • This study investigates the impact of event characteristics on runoff dynamics during extreme flood events observed in a $8.5km^2$ experimental watershed located in South Korea. The 37 most extreme flood events with event rainfall in excess of 50 mm were analysed using an event-based rainfall-runoff model; the Revitalised Flood Hydrograph (ReFH) routinely used for design flood estimation in the United Kingdom. The ReFH model was fitted to each event in turn, and links were investigated between each of the two model parameters controlling runoff production and response time, respectively, and event characteristics such as rainfall depth, duration, intensity and also antecedent soil moisture. The results show that the structure of the ReFH model can effectively accommodate any nonlinearity in runoff production, but that the linear unit hydrograph fails to adequately represent a reduction in watershed response time observed for the more extreme events. By linking the unit hydrograph shape directly to rainfall depth, the consequence of the observed nonlinearity in response time is to increase design peak flow by between 50% for a 10 year return period, and up to 80% when considering the probable maximum flood (PMF).

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강우-유출 모형의 불확실성을 고려한 돌발홍수기준 (Estimation of Flash Flood Guidance considering Uncertainty of Rainfall-Runoff Model)

  • 이건행;김형수;김수전;김병식
    • 한국습지학회지
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    • 제12권3호
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    • pp.155-163
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    • 2010
  • 돌발홍수는 짧은 지속기간, 급격한 경사와 불투수층에 대해 강한 강우로 인하여 피해를 유발하는 홍수를 말한다. 돌발홍수는 강우가 돌발홍수기준(Flash Flood Guidance)을 초과하는 경우에 발생하게 되며, 따라서 돌발홍수기준을 정확히 산정하는 것이 돌발홍수예보의 정확성에 크게 기여한다. 즉, 강우-유출관계가 갖고 있는 불확실성(uncertainty)을 최소화 할수록 돌발홍수기준을 정확하게 산정할 수 있으며, 강우-유출 모형은 각각 고유의 매개변수와 특성을 갖고 있으므로 어떠한 강우-유출 모형을 사용하여 강우-유출관계를 도출하느냐에 따라 불확실성의 정도가 크게 좌우된다. 본 연구에서는 4개의 강우-유출모형(HEC-HMS 모형, 저류함수모형, SSARR 모형, TANK 모형)의 모의값에 Monte Carlo 모의 방법을 적용하여 95%신뢰수준에 대한 신뢰한계를 추정하여 제시하였다.