• 제목/요약/키워드: Long-term runoff

검색결과 284건 처리시간 0.029초

유전자 알고리즘을 이용한 장·단기 유출모형의 매개변수 최적화 (Parameter Optimization of Long and Short Term Runoff Models Using Genetic Algorithm)

  • 김선주;지용근;김필식
    • 한국농공학회논문집
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    • 제46권5호
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    • pp.41-52
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    • 2004
  • In this study, parameters of long and short term runoff model were optimized using genetic algorithm as a basic research for integrated water management in a watershed. In case of Korea where drought and flood occurr frequently, the integrated water management is necessary to minimize possible damage of drought and flood. Modified TANK model was optimized as a long term runoff model and storage-function model was optimized as a short term runoff model. Besides distinguished parameters were applied to modified TANK model for supplementing defect that the model estimates less runoff in the storm period. As a result of application, simulated long and short term runoff results showed 7% and 5% improvement compared with before optimized on the average. In case of modified TANK model using distinguished parameters, the simulated runoff after optimized showed more interrelationship than before optimized. Therefore, modified TANK model can be applied for the long term water balance as an integrated water management in a watershed. In case of storage-function model, simulated runoff in the storm period showed high interrelationship with observed one. These optimized models can be applied for the runoff analysis of watershed.

수자원의 이용계획을 위한 장기유출모형의 개발에 관한 연구 (A Study on Development of Long-Term Runoff Model for Water Resources Planning and Management)

  • 조현경
    • 한국산업융합학회 논문집
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    • 제16권3호
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    • pp.61-68
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    • 2013
  • Long-term runoff model can be used to establish the effective plan of water reources allocation and the determination of the storage capacity of reservoir. So this study aims at the development of monthly runoff model using artificial neural network technique. For this, it was selected multi-layer neural network(MLN) and radial basis function neural network(RFN) model. In this study, it was applied model to analysis monthly runoff process at the Wi stream basin in Nakdong river which is representative experimental river basin of IHP. For this, multi-layer neural network model tried to construct input 3, hidden 7, and output 1 for each number of layer. As the result of analysis of monthly runoff process using models connected with artificial neural network technique, it showed that these models were effective in the simulation of monthly runoff.

GIS L-THIA를 이용한 도시화에 따른 유출과 비점원오염 영향 평가 (Assessing the impact of urbanization on runoff and non-point source pollution using the GIS L-THIA)

  • 윤라영;김동희;권혁현;신승철;손광익
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2006년도 학술발표회 논문집
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    • pp.1802-1806
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    • 2006
  • It is important to consider the effects of land-use changes on surface runoff, stream flow, and groundwater recharge. Expansion of urban areas significantly impacts the environment in terms of ground water recharge, water pollution, and storm water drainage. Increase of impervious area due to urbanization leads to an increase in surface runoff volume, contributes to downstream flooding and a net loss in groundwater recharge. Assessment of the hydrologic impacts or urban land-use change traditionally includes models that evaluate how land use change alters peak runoff rates, and these results are then used in the design of drainage systems. Such methods however do not address the long-term hydrologic impacts of urban land use change and often do not consider how pollutants that wash off from different land uses affect water quality. L-THIA (Long-Term Hydrologic Impact Assessment) is an analysis tool that provides site-specific estimates of changes in runoff, recharge and non point source pollution resulting from past or proposed land-use changes. It gives long-term average annual runoff for a land use configuration, based on climate data for that area. In this study, the environmental and hydrological impact from the urbanized basin had been examined with GIS L-THIA in Korea.

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장기유출 모의를 통한 도시유역 불투수율에 따른 유출계수 변화 (Estimation of runoff coefficient through impervious covers analysis using long-term outflow simulation)

  • 김영란;황성환
    • 상하수도학회지
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    • 제28권6호
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    • pp.635-645
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    • 2014
  • The changes of rainfall pattern and impervious covers have increased disaster risks in urbanized areas. Impervious covers such as roads and building roofs have been dramatically increased. So, it is falling the ability safety of flood defense equipments to exist. Runoff coefficient means ratio of runoff by whole rainfall which is able to directly contribute at surface runoff during rainfall event. The application of accurate runoff coefficients is very important in sewer pipelines design. This study has been performed to estimate runoff characteristics change which are applicable to the process of sewer pipelines design or various public facilities design. It has used the SHER model, a long-term runoff model, to analyze the impact of a rising impervious covers on runoff coefficient change. It thus analyzed the long-term runoff to analyze rainfall basins extraction. Consequently, it was found that impervious surfaces could be a important factor for urban flood control. We could suggest the application of accurate runoff coefficients in accordance to the land Impervious covers. The average increase rates of runoff coefficients increased 0.011 for 1% increase of impervious covers. By having the application of the results, we could improve plans for facilities design.

SWAT-SWMM 결합모형의 개발 (I) 모형의 개발 (Development of Coupled SWAT-SWMM Model (I) Model Development)

  • 김남원;원유승
    • 한국수자원학회논문집
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    • 제37권7호
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    • pp.589-598
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    • 2004
  • 장기적 유출 측면에서 유역의 도시화는 불투수면적의 확대로 인한 토지이용변화, 인위적 구조물의 설치여부, 하천 환경의 변화를 유발하며 따라서 도시화되기 이전과 매우 다른 형태의 유출거동 특성을 가진다. 따라서 자연적인 유출 성분변화 특성은 물론 도시화 유역 특성변화요소를 적절히 반영함으로써 지표수, 하천수, 지하수 등의 수문순환 요소를 장기적인 측면에서 정량적으로 평가할 수 있는 유출모의모형이 필요하다. 본 연구에서는 준 분포형 장기 유출모형인 SWAT모형과 도시지역의 유출해석에 주로 이용되는 SWMM 모형의 RUNOFF 블록을 결합함으로써 자연유역은 물론 도시유역의 제반 유역특성을 충분히 고려할 수 있는 장기유출모형인 SWAT-SWMM 모형을 개발하였다. SWAT-SWMM 결합모형의 구정방법 및 모형의 한계 그리고 결합모형의 모식을 중심으로 두 모형의 결합상황을 기술하였다.

영산강의 장기유출량에 관한 고찰 (An Analysis on the Long-Term Runoff of the Yong San River)

  • 한상욱;정종수
    • 한국농공학회지
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    • 제18권3호
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    • pp.4184-4194
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    • 1976
  • Located in the southwestern part of Korea, the Yong San Gang river flows generally northeast to southwest, and because of the specific location, topography and climate, the basin area is subject to recurrent drought and flood damages. To eliminate the cause of such damages and ensure an increase in the farm income by means of effective irrigation supply and increased cropping intensity, efforts are being made to speed up implementation of an integrated agricultural development project which would include construction. of an estuary dam and irrigation facilities as well as land development and tidal reclarnation. In formulating a basin development project plan, it is necessary to study a series of long-term runoff data. The catchment area at the proposed estuary damsite is 3,471$\textrm{km}^2$ with the total length of the river channel up to this point reaching 138km. An analysis of runoff in this area was carried out. Rainfall was estimated by the Thiessen Network based on records available from 15 of the rainfall observation stations within the area. Out of the 15 stations, Kwang Ju and Mok Po stations were keeping long-term precipitation records exceeding some 60 years while the others were in possession of only 5-10 years records. The long-term records kept by those stations located in the center of the basin were used as base records and records kept by the remaining stations were supplemented using the coefficient of correlation between the records kept by the base stations and the remainder. The analyses indicate that the average annual rainfall measured at Kwang Ju during 1940-1972 (33 years) amounts to 1,262mm and the areal rainfall amounts to 1,236mm. For the purpose of runoff analysis, 7 observatories, were set up in the middle and lower reaches of the river and periodic measurements made by these stations permitted analysis of water levels and river flows. In particular, the long-term data available from Na Ju station significantly contributed to the analysis. The analysis, made by 4-stage Tank method, shows that the average annual runoff during 1940-1972 amounts to 2,189 million ㎥ at the runoff rate of 51%. As for the amount of monthly runoff, the maximum is 484.2 million ㎥ in July while the minimum is 48.3 million ㎥ in January.

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SWAT 모형을 이용한 낙동강 유역의 장기 유출에 따른 유사량 분석 (Analysis of Sediment Discharge by Long-term Runoff in Nakdong River Watershed using SWAT Model)

  • 지운;김태근;이은정;류경식;황만하;장은경
    • 한국환경과학회지
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    • 제23권4호
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    • pp.723-735
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    • 2014
  • Sediment discharge by long-term runoff in the Nakdong River watershed should be predicted for the maintenance and management of the Nakdong River newly changed by the four major river restoration project. The data establishment by the analysis of runoff and sediment discharge using the long-term watershed model is necessary to predict possible problems by incoming sediments and to prepare countermeasures for the maintenance and management. Therefore, sediment discharges by long-term runoff in the main points of the Nakdong River were calculated using SWAT(soil and water assessment tool) model and the relations and features between rainfall, runoff, and sediment discharge were analyzed in this study. As a result of sediment discharge calculation in the main points of the Nakdong River and tributaries, the sediment discharge at the outlet of the Naesung Stream was greater than the Jindong Station in the Lower Nakdong River from 1999 to 2008 except the years with low precipitation. The sediment discharge at the Nakdong River Estuary Barrage (NREB) was corresponding to 20% of the Jindong Station which is located about 80 km upstream from NREB.

저류함수를 이용한 일단위 장기유출모의 모형 구축 (Long term Rainfall-Runoff Modeling Using Storage Function Method)

  • 성영두;정구열;신철균;박진혁
    • 한국수자원학회논문집
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    • 제41권7호
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    • pp.737-746
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    • 2008
  • 강우-유출 및 저수지운영 모형의 최종 개발 목적은 가용한 관측자료를 이용하여 실무자가 하천의 유량예측 및 저수지운영 업무를 쉽고 정확하게 수행할 수 있도록 분석도구를 제공하는데 있다. 본 연구에서는 물관리 실무에서 홍수량 예측업무에 활용중인 단기 강우-유출 저류함수 모형을 확장하여 장기유출에 모의에 기여도가 높은 유효우량 및 침투량 산정기법을 개선하여 장기 유출분석이 가능하도록 저류함수기반의 장기 유출모형을 구축하였다. 개발된 모형의 적용가능성을 검토하기 위하여 낙동강 유역내 3개 댐유역(안동,합천,밀양)을 대상으로 연간 유출모의를 실시 하였으며, 현재 물관리 실무에서 장기유출모형으로 활용중인 SSARR모형과의 성능을 비교하였다. 수문곡선 비교 결과, SSARR 모형이 상대적으로 재현성 높은 결과를 보여주었지만, 본 연구에서 개발한 모형은 관측 가용한 자료만으로도 비교적 신뢰성 있는 장기유출모의가 가능하다는 점에서 향후 실무에서 유용하게 활용할 수 있을 것으로 사료된다.

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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장기유출모의를 위한 수문시계열 예측모형의 적용성 평가 (Application to Evaluation of Hydrologic Time Series Forecasting for Long-Term Runoff Simulation)

  • 윤선권;안재현;김종석;문영일
    • 한국수자원학회논문집
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    • 제42권10호
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    • pp.809-824
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    • 2009
  • 한정된 기간의 짧은 유출량 기록을 갖는 댐 유역에서의 수자원 시스템 거동예측은 수문학적 지속성여부에 대한 판단이 선행 되어야 하며 가용한 시계열자료에 대한 추계학적 분석을 통하여 실시하여야 한다. 본 연구에서는 계절형 ARIMA모형을 통하여 안동댐 유역의 강우량, 증발량 및 유출량 시계열자료로 월별 수문시스템 거동을 예측하였으며, 예측된 결과를 토대로 TANK모형과 ARIMA+TANK결합모형에 의한 장기유출모의를 실시하였다. 분석결과 관측자료의 특성을 비교적 잘 반영 하였으며, 댐 유입량 예측을 위한 추계학적 결합모형의 적용가능성을 검토하였다. 이는 상대적으로 유출량자료의 보유년한이 짧은 대상유역의 시계열 수문인자 예측을 통한 유출모의의 적용으로 수자원의 중 장기 전략수립에 도움이 되리라 사료된다.