• 제목/요약/키워드: distributed storm runoff model

검색결과 41건 처리시간 0.033초

분포형 강우-유출모형의 하도자료 구축을 위한 하폭 및 하상경사 산정공식 개발 (Development of Stream Width and Bed-slope Estimation Equations for Preparing Data for Distributed Storm Runoff Model)

  • 정인균;박종윤;조형경;이지완;김성준
    • 한국농공학회논문집
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    • 제52권4호
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    • pp.1-10
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    • 2010
  • In this study, two estimation equations for preparing stream data for distributed storm runoff model were developed by analyzing the nonlinear relation between upstream flow-length and stream width, and between upstream flow-length and stream bed-slope. The equations for stream cell were tested in Chungjudam watershed (6,661 $km^2$) using KIMSTORM. Six storm events occurring between 2003 and 2008 were selected for the model calibration and verification before the test of equations. The average values of the Nash-Sutcliffe model efficiency (ME), the volume conservation index (VCI), the relative error of peak runoff rate (EQp), and the difference of time to peak runoff (DTp) were 0.929, 1.035, 0.037, and -0.406 hr for the calibrated four storm events and 0.956, 0.939, 0.055, and 0.729 hr for the two verified storm events respectively. The estimation equations were tested to the storm events, and compared the flood hydrograph. The test result showed that the estimation equation of stream width reduced the peak runoff and delaying the time to peak runoff, and the estimation equation of stream bed-slope showed the opposite results.

Development of Hydrologic Simulation Model for the Prediction of Long-Term Runoff from a Small Watershed

  • 고덕구;권순국
    • 한국농공학회지
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    • 제32권E호
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    • pp.33-46
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    • 1990
  • Abstract Over 700/0 of the rural land area in Korea is mountainous and small watersheds provide most of the water resources for agricutural use. To provide an appropriate tool for the agricultural water resource development project, SNUA2, a mathematical model for simulating the physical processes governing the precipitation-runoff relationships and predicting the storm and long-term runoff quantities from the small mountainous watersheds was developed. The hydrological characteristics of small mountainous watersheds were reviewed to select appropriate theories for the simulation of the runoff processes, and a deterministic and distributed model was developed. In this, subsurface flows are routed by solving Richard's two dimensional equation, the dynamics of soil moisture contents are simulated by the consideration of phenological factors of canopy plants and surface flows are routed by solving the kinematic wave theory by numerical analysis. As a result of an application test of the model to the Sanglim watershed, peak flow rates of storm runoff were over-estimated by up to 184.2%. The occurence time of peak flow and total runoff volume of storm runoffs simulated were consistent with observed values and the annual runoff volumes were simulated in the error range of less than 5.8%.

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도시하수도망에 대한 유출모형의 남용과 유출해석 (Runoff Analysis and Application of Runoff Model of Urban Storm Drainage Network)

  • 박성천;이관수
    • 한국환경보건학회지
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    • 제22권4호
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    • pp.33-42
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    • 1996
  • This research is to show the application of runoff model and runoff analysis of urban storm drainage network. the runoff models that were used for this research were RRL, ILLUDAS, and SWMM applicative object basin were Geucknak-chun and Sangmu drainage basin located in Seo-Gu, Kwangju. The runoff analysis employed the design storm that distributed the rainfall intensity according to the return period after the huff's method. The result from the comparative analysis of the three runoff models was as follows The difference of peak runoff by return period was 20-30% at Sangmu drainage area of $3.17 Km^2$, while less than 10% at Geucknak-chun drainage area of $12.7 Km^2$. The peak runoff were similar to all models. At the runoff hydrograph the times between rising and descending points were in the sequence of RRL, ILLUDAS and SWMM, but the peak times were similar to all models. The conveyance coefficient to examine the conveyance of the existing drainage network was 0.94-1.37, which means insecure, in Geucknak-chun drainage basin and 0.69-1.16, which means secure, in sangmu drainage basin.

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Application of a Distribution Rainfall-Runoff Model on the Nakdong River Basin

  • 김광섭;순밍동
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2012년도 학술발표회
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    • pp.976-976
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    • 2012
  • The applicability of a distributed rainfall-runoff model for large river basin flood forecasts is analyzed by applying the model to the Nakdong River basin. The spatially explicit hydrologic model was constructed and calibrated by the several storm events. The assimilation of the large scale Nakdong River basin were conducted by calibrating the sub-basin channel outflow, dam discharge in the basin rainfall-runoff model. The applicability of automatic and semi-automatic calibration methods was analyzed for real time calibrations. Further an ensemble distributed rainfall runoff model has been developed to measure the runoff hydrograph generated for any temporally-spatially varied rainfall events, also the runoff of basin can be forecast at any location as well. The results of distributed rainfall-runoff model are very useful for flood managements on the large scale basins. That offer facile, realistic management method for the avoiding the potential flooding impacts and provide a reference for the construct and developing of flood control facilities.

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소유역 유출해석을 위한 유한요소모형의 개발 (Development of Finite Element Model for Storm Runoff from Small Watersheds)

  • 최진규;박승우
    • 한국농공학회지
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    • 제32권4호
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    • pp.89-98
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    • 1990
  • The objectives of this study are to develop a deterministic, distributed, and event - oriented hydrologic watershed model and to test the applicabilities of the model to small watersheds. The resulting model SRAFEM, Storm Runoff Analysis by Finite Element Method, is capable of simulating storm runoff from small watersheds using two - dimensional overland flow and one - dimensional channel flow components by. kinematic approximations and finite element method. Two small watersheds were selected and the applicability of the model was tested. The test results showed that the mean simulation errors for runoff volume and peak flow were 13.9% and 19.1 % for Yeonwha watershed. They were 42.8% and 8.0% for Banweol watershed, respectively.

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유한요소법에 의한 소유역 유출모형의 적용 (Application of Storm Runoff Model on Small Watershed by Finite Element Method)

  • 최진규;손재권
    • 물과 미래
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    • 제25권3호
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    • pp.97-104
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    • 1992
  • 분포형 수문모형은 유역의 공간적 특성과 강우양상을 고려한 강우-유출량의 추정을 위한 효과적인 수단으로 사용되고 있다. 본 연구는 소유역에서의 단기 홍수유출 해석을 위하여 유한요소 수치기법을 수문모형에 도입하고, 이를 소유역을 대상으로하여 유한요소모형의 적용성을 검토하고자 하였다. 모형에 적용된 자료는 2.8km2 인 연화천유역과 1991년 수문자료중 14개의 강우사상이 사용되었으며, 관측 및 모의 발생된 수문량을 비교하였다.

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분포형 모델을 이용한 유역내 이동강우의 유출해석(II)-모델의 적용- (Simulation of Moving Storm in a Watershed Using A Distributed Model(II)-Model Application-)

  • 최계운;이희승;안상진
    • 물과 미래
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    • 제26권1호
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    • pp.81-91
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    • 1993
  • 본 논문에서, 실제 유역에서의 이동강우에 의한 유출현상을 분포형 모델을 이용하여 모의하였다. 실제유역으로 미국 Idaho주의 Macks Creek 실험유역이 선정되었으며, 사용된 이동강우로 1965년 8월23일 15시 30분에서 17시 30분까지 약 2시간에 걸쳐 진행되었던 강우를 채택하였다. 이 강우는 강우 지속 기간동안 강우강도의 값이 상당히 변화하며, 또한 강우 자체가 지역내 한지점으로부터 다른 지점으로 점차적으로 이동되어가는 전형적인 이동강우의 특성을 갖추었다. 또한 이 유역내 지표면을 이루고 있는 토양의 특성, 식물의 피복정도, 지표면의 경사, 하상경사등의 유출 지배 인자들은 각 지점마다 그 값이 다른 전형적 공간분포 형태를 갖추고 있다. 분포형 모델로는 본 논문의 전편에서 개발된 모델을 사용하였는데, 이 모델은 유역내 유출현상을 지표면 흐름과 하천망 흐름으로 나누어 모의한다. 즉, 2차우너의 유한요소 모델을 이용하여 지표면 유출을 모의한후 모의된 지표면의 유출량을 1차원의 유한차분 모델의 입력자료로하여 하천망의 유출을 모의한다. 분포형 모델을 적용하여 유역의 하류지점에서 모의된 유출량과 관측된 유출량은 상당히 일치하고 있고 또한 하천망내 각각의 합류점에서도 상.하류간에 질량의 관계가 잘 보존되고 있었으며, 제안된 분포형 모델을 이요하여 유역내 이동강우가 성공적으로 모의되어다.

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우수유출저감 시설의 최적위치 결정 (Optimal Location of Best Management Practices for Storm Water Runoff Reduction)

  • 장수형;이지호;유철상;한수희;김상단
    • 한국물환경학회지
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    • 제24권2호
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    • pp.180-184
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    • 2008
  • A distributed hydrologic model of an urban drainage area on Bugok drainage area in Oncheon stream was developed and combined with a optimization method to determine the optimal location and number of best management practices (BMPs) for storm water runoff reduction. This model is based on the SCS-CN method and integrated with a distributed hydrologic network model of the drainage area using system of 4,211 hydrologic response units (HRUs). Optimal location is found by locating HRU combination that leads to a maximum reduction in peak flow at the drainage outlet in this model. The results of this study indicate the optimal locations and numbers of BMPs, however, for more exact application of this model, project cost and SCS-CN reduction rate of structural facilities such infiltration trench and pervious pavement will have to be considered.

분포형 강우-유출 모형에 의한 유출 해석 (Runoff Analysis Using a Distributed Rainfall-Runoff Model)

  • 신사철
    • 물과 미래
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    • 제29권6호
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    • pp.131-139
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    • 1996
  • 본 연구의 목적은 분포형 강우-유출 모형에 의한 유출량을 해석하는 것이다. 본 모형은 두개의 부모형으로 구성되어 있다. 하나는 수계망(drainage network) 을 통하여 운동파 모형(kinematic wave model)을 이용하여 분포적으로 추적되는 직접 유출 부모형이며, 다른 하나는 기저유출 부모형으로서 집중형으로 취급되어 유역 출구에서만 계산하도록 하였다. 본 연구에서 개발된 모형에 의하여 청미천 유역에 대한 유출량의 시간적, 공간적인 분포를 고려할 수 있었다.

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유역 공간 강우 산정방법에 따른 VfloTM 분포형 강우-유출 모형의 매개변수 평가 - 금호강 동촌 유역을 대상으로 - (Parameter Estimation of VfloTM Distributed Rainfall-Runoff Model by Areal Rainfall Calculation Methods - For Dongchon Watershed of Geumho River -)

  • 김시수;정충길;박종윤;정성원;김성준
    • 한국농공학회논문집
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    • 제55권1호
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    • pp.9-15
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    • 2013
  • This study is to evaluate the parameter behavior of VfloTM distributed rainfall-runoff model by applying 3 kinds of rainfall interpolation methods viz. Inverse Distance Weighting (IDW), Kriging (KRI), and Thiessen network (THI). For the 1,544 $km^2$ Dongcheon watershed of Nakdong river, the model was calibrated using 4 storm events in 2007 and 2009, and validated using 2 storm events in 2010. The model was calibrated with Nash-Sutcliffe model efficiency of 0.97 for IDW, 0.94 for KRI, and 0.95 for THI respectively. For the sensitive parameters, the saturated hydraulic conductivity ($K_{sat}$) for IDW, KRI, and THI were 0.33, 0.31, and 0.43 cm/hr, and the soil suction head at the wetting front (${\Psi}_f$) were 4.10, 3.96, and 5.19 cm $H_2O$ respectively. These parameters affected the infiltration process by the spatial distribution of antecedent moisture condition before a storm.