• 제목/요약/키워드: Peak runoff

검색결과 414건 처리시간 0.032초

도시지역에 적용된 LID 기법의 강우시 수문특성 및 물순환 평가 (Assessment of Water Circulation and Hydro-characteristics with LID techniques in urbanized areas)

  • 최혜선;홍정선;전민수;케빈;김이형
    • 한국습지학회지
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    • 제21권3호
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    • pp.191-198
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    • 2019
  • 도시지역의 높은 불투수면은 강우시 지표 유출량을 증가시키고 지하침투량을 줄이면서 물순환을 왜곡시킨다. 왜곡된 물순환은 도시침수와 가뭄, 비점오염유출로 인한 수질오염 및 수생태계 훼손 등의 다양한 도시환경 문제 등을 유발시킨다. 기후변화는 도시강우의 계절적 편중현상을 더욱 심화시키고 도시 미기후에 영향을 줌으로써 도시침수와 가뭄의 강도 및 빈도를 증가시킨다. LID(Low Impact Development) 기법은 도시내 자연적 물순환 체계를 회복함으로써 물로 인하여 발생하는 도시환경문제를 줄일 수 있는 기법으로 다양하게 적용되고 있다. 본 연구에서는 도시지역 내 적용된 다양한 LID 기법의 장기 모니터링 결과를 활용하여 LID 적용 이후 수문특성의 변화와 물순환 회복에 기여도를 평가하기 위하여 수행되었다. LID 시설의 높은 저류량과 침투능력은 강우시 첨두유출 저감과 유출지연에 크게 기여하는 것으로 나타났다. LID 시설에서 강우시 평균 유출저감효과는 60% 이상으로 나타났으며, 유역면적 대비 LID 시설 면적비(Surface area of Catuchment area, SA/CA)와 LID 저류 용량은 첨두유출 저감과 유출지연 효과에 영향을 끼치는 중요한 인자로 평가되었다.

택지개발에 따른 표면재료를 고려한 우수유출저감시설의 침투 특성에 관한 실험 연구 (An Experimental Study on Infiltration Characteristics of Facilities for Reducing Runoff Considering Surface Materials According to Housing Lot Developments)

  • 임장혁;송재우;박성식;박호상
    • 한국지반환경공학회 논문집
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    • 제8권5호
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    • pp.47-55
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    • 2007
  • 택지개발에 따른 불투수 면적의 증가는 호우 발생시 하천으로의 유출량과 첨두유량의 증가뿐만 아니라 첨두유출량의 발생시간도 감소하는 등 방재 측면에서도 불리한 여건이 심화되고 있다. 침투시설에 의한 우수유출 저감의 경우, 공법, 재료, 투수성능과 현장 여건에 따라 좌우되기 때문에 침투특성이나 정량적인 분석에 대한 연구는 아직까지 미흡한 실정이다. 본 연구의 목적은 표면재료에 따른 침투형 우수유출 저감시설의 침투 특성을 연구하는 것이며, 이를 실험을 통해 표면재료 및 강우강도를 변화시키며 실험장치에 의한 침투특성을 고찰하고, 표면재료의 이용에 따른 침투효과 및 특성을 분석하여 우수유출 저감시설의 기초연구자료로 활용할 수 있도록 하는데 그 의의가 있다. 본 연구에서는 택지개발시 토지이용을 참고하여 콘크리트 포장, 아스팔트 포장, 토사, 초지, 투수성 포장재 등 5가지로 구분하여 표면재료별 실험을 실시하였으며, 개개 실험별 강우조건은 20, 30, 50, 80, 100, 200mm/hr로 구분하여 수행하였다. 표면재료에 따른 침투율 실험 결과, 투수성 포장재의 경우 200mm/hr 이하에서 약 93%이상의 침투율을 확보할 수 있는 것으로 측정되었다. 다짐 흙과 초지의 경우에 종기침투율은 약 13%에서 약 67%까지 나타났으며, 또한 아스팔트 및 콘크리트 포장의 경우 대부분 직접 유출되고 종기침투율은 매우 적은 것으로 측정되었다. 우수유출 저감시설의 표면재료로 투수성 포장재를 사용하는 것이 침투량 확보측면에서 가장 유리하고 우수유출 저감시설의 목적인 방재 및 치수 측면에 활용할 수 있을 것으로 판단되었다.

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HSPF 모형을 이용한 토지피복변화에 따른 유출 변화 분석 (Analysis of Impacts of Land Cover Change on Runoff Using HSPF Model)

  • 박민지;권형중;김성준
    • 한국수자원학회논문집
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    • 제38권6호
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    • pp.495-504
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    • 2005
  • 본 연구의 목적은 HSPF 모형과 Landsat 영상을 이용하여 토지피복 변화에 따른 유출의 변화를 분석하는 것이다. 토지피복도는 경안수위관측소 상류유역($258km^2$)에 대하여 10년 단위로 3개의 토지피복도(1980, 1990, 2000)를 준비하였다. HSPF의 수문학적 인자들의 보정에는 1999년부터 2000년의 경안수위관측소의 자료를 사용하였고, 검증에는 2001년과 2003년의 자료를 사용하였다. 토지피복도를 입력자료로 한 유출변화의 모의 결과, 20년 동안의 산림 감소 ($15.0\;km^2$)와 도심지 증가($19.3\;km^2$)에 따라 총유출량과 첨두유량이 증가하였다. 총유출량은 풍수년(2003, 1709.4mm)과 갈수년(2001, 871.2mm)의 강수조건에서 각각 $0.6\%,\;1.0\%$의 증가율을 보였다. 첨두유량은 2000년의 최대강우강도 241.3mm/hr 조건에서 $13.3\%$의 증가를 보였고, 성수기와 비성수기로 구분한 총유출량은 평수년(2000, 1257.3mm)인 2000년 강수조건에서 각각 $4.4\%$ 증가와 $8.1\%$ 감소로 가장 큰 변화를 보였다.

분포형 강우-유출 모형에서 토양도 격자크기 효과가 Green-Ampt 모형의 매개변수와 모의된 강우손실에 미치는 영향 (Impact of Different Green-Ampt Model Parameters on the Distributed Rainfall-Runoff Model FLO-2D owing to Scale Heterogeneity)

  • 황지형;이길하
    • 한국환경과학회지
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    • 제29권1호
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    • pp.15-23
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    • 2020
  • The determination of soil characteristics is important in the simulation of rainfall runoff using a distributed FLO-2D model in catchment analysis. Digital maps acquired using remote sensing techniques have been widely used in modern hydrology. However, the determination of a representative parameter with spatial scaling mismatch is difficult. In this investigation, the FLO-2D rainfall-runoff model is utilized in the Yongdam catchment to test sensitivity based on three different methods (mosaic, arithmetic, and predominant) that describe soil surface characteristics in real systems. The results show that the mosaic method is costly, but provides a reasonably realistic description and exhibits superior performance compared to other methods in terms of both the amount and time to peak flow.

복합 토지이용 특성의 농촌유역에 대한 농업비점원오염모형의 적용 (Applications of AGNPS model with rural watersheds having complex land use characteristics)

  • 조재필;박승우;강문성
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 1998년도 학술발표회 발표논문집
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    • pp.353-358
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    • 1998
  • GRASS-AGNPS model integrated with GIS was applied to rural watersheds having complex land use characteristics and evaluated for its applicability through calibration using observed data. The analyses of raster encoding accuracy and model behavior to runoff, sediment yields and nutrient loads for different cell-size showed that 150 m cell size indicated reasonable applicability of the model. Simulated runoff was in a good agreement with the observed data and simulated peak runoff rate was larger than the observed data. The sediment yield simulated by modified AGNPS model using irregular cell for forest area were less than that of the regular cell method. In predicting sediment yields, the result showed a different trend at each representative rural watershed. Nutrient loads simulated by the model were significantly different from the observed data.

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강우 데이터를 쓰지 않는 홍수예측법에 관한 연구 (A Study on Flood Prediction without Rainfall Data)

  • 김치홍
    • 기술사
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    • 제18권2호
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    • pp.1-5
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    • 1985
  • In the flood prediction research, it is pointed out that the difficulty of flood prediction is the frequently experienced overestimation of flood peak. That is caused by the rainfall prediction difficulty and the nonlinearity of hydrological phenomena. Even though the former reason will remain still unsolved, but the latter one can be possibly resolved the method of the AMRA (Auto Regressive Moving Average) model for each runoff component as developed by Dr. Hino and Dr. Hasebe. The principle of the method consists of separating though the numerical filters the total runoff time series into long-term, intermediate and short-term components, or ground water flow, interflow, and surface flow components. As a total system, a hydrological system is a non-linear one. However, once it is separated into two or three subsystems, each subsystem may be treated as a linear system. Also the rainfall components into each subsystem a estimated inversely from the runoff component which is separated from the observed flood. That is why flood prediction can be done without rainfall data. In the prediction of surface flow, the Kalman filter will be applicable but this paper shows only impulse function method.

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A Study on the Introduction of Fuzzy Theory to the Adjustment of Time Variant parameter

  • Lee, Jong-Kyu;Lee, Chang-Hae
    • Korean Journal of Hydrosciences
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    • 제8권
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    • pp.69-83
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    • 1997
  • The Parameters of the storage function model (SFM) are taken as constants, while they have different values during every rainfall period and the duration of the runoff. Therefore, the results of the SFM generally show remarkably large errors. In this study, the modified storage function model (MSFM), in which the time variant parameters are introduced, is proposed to improve the SFM which is a conceptual rainfall-runoff model. The fuzzy reasoning method is applied as a real-time control one of the time variant parameters of the proposed model. The applicability of the MSFM was examined in the Bochung river, at a tributary of the Geum River, Korea. The pattern of the predicted runoff hydrograph and the peak discharge by the MSFM with fuzzy control are very similar to the measured values, compared with the results produced by the SFM.

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강우-유출 자료에 의한 Clark 모형의 저류상수 결정 (Determination of the Storage Constant for the Clark Model by based on the Observed Rainfall-Runoff Data)

  • 안태진;최광훈
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2007년도 학술발표회 논문집
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    • pp.1454-1458
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    • 2007
  • The determination of feasible design flood is the most important to control flood damage in river management. Model parameters should be calibrated using observed discharge but due to deficiency of observed data the parameters have been adopted by engineer's empirical sense. Storage constant in the Clark unit hydrograph method mainly affects magnitude of peak flood. This study is to estimate the storage constant based on the observed rainfall-runoff data at the three stage stations in the Imjin river basin and the three stage stations in the Ansung river basin. In this study four methods have been proposed to estimate the storage constant from observed rainfall-runoff data. The HEC-HMS model has been adopted to execute the sensitivity of storage constant. A criteria has been proposed to determine storage constant based on the results of the observed hydrograph and the HEC-HMS model.

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유전자 알고리즘을 이용한 유출모형의 매개변수 추정 (Parameter Estimation of Runoff Model Using the Genetic Algorithm)

  • 조현경;이영화
    • 한국환경과학회지
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    • 제12권10호
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    • pp.1109-1116
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    • 2003
  • The genetic algorithm is investigated fer parameters estimation of SED (storage - effective drainage) model from the Wi-stream watershed in Nakdong river basin. In the practical application of model, as a number of watershed parameters do not measure directly, it is desirable to make a good estimation from the known rainfall and runoff data. For the estimation of parameters of the SED model using the genetic algorithm, parameters of Green-Ampt equation(SM, K$\_$s/) for the estimation of an effective rainfall and initial storage(y$\_$in/) used in SED model are obtained a regression equation with 5, 10, 20 days antecedent precipitation. And as a consequence of computation, the parameters were obtained to satisfy the proposed objective function. From the comparison of observed and computed hydrographs, it shows a good agreement in the shape and the rising limb, peak, falling limb of hydrograph, so the SED model using the genetic algorithm shows a suitable model for runoff analysis in river basin.

산림특성에 따른 강우유출수 유출특성 및 상관관계 분석 (Characteristics of Storm Runoff and Analysis of Its Correlation with Forest Properties)

  • 정우진;장순웅
    • 한국환경과학회지
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    • 제25권7호
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    • pp.1007-1016
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    • 2016
  • Environmental policy implementation has been strengthened to protect the source waters in Korea and to improve their water quality. Increasing of non-point source caused water quality problem continuously. Research on runoff from forests, which occupy over 65% of the land in korea, is insufficient, and studies on the characteristics and influences of storm runoff are necessary. In this study, we chose to compare the effects of land use in the form of two types of forest distribution and then gathered data on storm characteristics and runoff properties during rainfall events in these areas. Furthermore, the significance and influences of the discharges were analyzed through correlation analysis, and multilateral runoff characteristics were examined by deducing a formula through $COD_{Mn}$ and TOC regression analysis. At two forest points, for which the basin areas differed from each other, flow changed according to storm quantity and intensity. The peak discharge at point A, where the basin area was big, was high, whereas water-quality fundamental items (BOD, $COD_{Mn}$, and SS) and TOC density were high at point B where the slope and storm intensity were high. Effects of dissolved organic matter were determined through correlation analysis, and the regression formulas for $COD_{Mn}$ and TOC were deduced by regression analysis. It is expected that the data from this study could be useful as basic information in establishing forest management measures.