• 제목/요약/키워드: Hydrograph separation

검색결과 37건 처리시간 0.034초

유성지역 소유역에서 추적자(Cl)를 이용한 강우사상에 따른 지표수로부터 기저유출의 분리

  • 조성현;하규철;고동찬;조민조;송무영
    • 한국지하수토양환경학회:학술대회논문집
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    • 한국지하수토양환경학회 2005년도 총회 및 춘계학술발표회
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    • pp.352-358
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    • 2005
  • This study aims to separate hydrograph into baseflow and event water to calculate baseflow rate during a rainfall in small catchments, Yuseong, Daejeon, The hydrograph of stream during a period with no excess rainfall will decay. The discharge is composed entirely of groundwater contributions. During the period, the Cl concentration of the stream water can be regarded as being in equilibrium with that of the groundwater. Using Cl as a conservative tracer, two-component hydrograph separations were performed from end point of the period to next end point. The required data were obtained by monitoring of the surface water table, along with discharge rate of stream. Cl concentration of rainfall, surface water were measured and recorded. Hydrograph separation, a mixing model using chemical tracer is applied to chemical hydrograph separation technique. These results show that baseflow rates are 31.6% of rainfall in the catchments during study period.

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수문곡선의 기저유출분리 방법에 대한 고찰 (A Comparative Study on the Storm Hydrograph Separation Methods for Baseflow through Field Applications)

  • 조성현;문상호
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제27권1호
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    • pp.50-59
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    • 2022
  • There are several methods for separating the baseflow from the hydrograph, and graphical methods (GM) have mostly been used. GMs are those that separate the baseflow from the direct flow simply by connecting rising point with inflection point or points related to some duration from a hydrograph. Environmental tracer method (ETM) is another tool researched and developed under several conditions to estimate the groundwater recharge. The goal of this study is to separate the baseflow component from a storm hydrograph by applying various GMs and ETM, and to compare their results. The baseflow component estimated by ETM was different from the results by GMs in terms of their shapes of fluctuation and flow rates. Another important feature is that the form of the baseflow to which ETM is applied is similar to that of a storm hydrograph. This similarity is presumed to be due to the selection of tracer that respond quickly to rainfall.

대청댐유역의 기저유출분리를 통한 기저유량 산정에 관한 연구 (A Study on the Estimation of Base Flow Using Base Flow Separation in the Daichung Dam Basin)

  • 김경수;조기태
    • 대한지하수환경학회지
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    • 제7권1호
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    • pp.15-19
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    • 2000
  • 본 연구는 하천유량 수문곡선의 분리를 통한 기저유량 산정에 관한 것이다. 수문곡선을 분리하기 위하여 Institute of Hydrology(1980)에서 제안한 표준방법(Standard Method)을 이용하였다. 이를 위하여 대상유역의 유역특성치와 기저유출관계를 이용하여 모형의 매개변수를 산정하였으며, 그 결과를 토대로 수문곡선을 분리하여 기저유량을 산정 하였다. 기저유량 산정결과 기저 유출율은 20.0%∼39.4%로 나타났으며, 유역면적이 비교적 큰 유역에서는 기저 유출율이 다소 높게 나타났고, 상대적으로 유역면적이 적은 지역에서는 기저 유출율이 적게 나타났다. 그리고 연 강우량과 기저 유출율의 관계를 분석한 결과 연강우량과 기저 유출율의 상관성은 거의 나타나지 않았다.

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인공강우실험을 이용한 동위원소수문분리 및 각각의 추적자에 따른 의미 (Isotopic Hydrograph Separation Using Artificial Rain-on-snow Experiments and Its Implications by Each Tracer)

  • 이정훈
    • Ocean and Polar Research
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    • 제38권4호
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    • pp.331-338
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    • 2016
  • Many studies using tracers have been conducted to understand a physical process in a system. Rain-on-snow could accelerate snowmelt processes, which influences the hydrological process in both temperate and polar regions. Hydrological and ecological conditions will be affected by the amount and timing of discharge reaching the bottom of a snowpack. The discharge consists of the rain-on-snow, pore water penetrating into the snowpack and natural meltwater. In this study, after a rain-on-snow experiment, we conducted an isotopic hydrograph separation to distinguish rainwater and pore water from meltwater. Using the isotopic data of snow and meltwater from Lee et al. (2010), two components were separated based on the assumption that rainwater and pore water are new water and natural meltwater is old water. After the second rain-on-snow experiment, the maximum contributions of rainwater and pore water reached up to 69% of the discharge and then decreased. During the study period, the measured total discharge was 4153 L and 40% (based on hydrogen isotope) of rainwater and pore water was calculated in the discharge, which is not consistent with what Lee et al. (2016) calculated using chemical separation (63%). This inconsistency can be explained by how an end-member was defined in both approaches. The contributions of artificial rainonsnow and pore water to melwater discharge range between the two methods. This study will suggest a mixing calculation from isotopic compositions of the Southern Ocean.

강우와 융설의 안정동위원소 변동에 의한 동위원소 수문분리법의 계통오차계산 (Influences of Fractionation of Stable Isotopic Composition of Rain and Snowmelt on Isotopic Hydrograph Separation)

  • 이정훈;고동찬;추미경
    • 한국지구과학회지
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    • 제35권2호
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    • pp.97-103
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    • 2014
  • 물안정동위원소를 이용하여 지하수와 강우 또는 융설이 하천에 미치는 영향을 정량적으로 분리하는 방법을 동위원소 수문분리법이라고 하며 지난 30년 동안 사용되어 왔다. 오래된 물(지하수)과 새로운 물(강우 및 융설)의 두 성분이 하천에 영향을 미치는 것으로 가정하고 새로운 물과 오래된 물의 주어진 시간동안의 동위원소를 측정하여 각각의 성분에 대한 비율을 결정할 수 있다. 본 연구에서는 동위원소 수문분리법을 수계에 적용할 때 새로운 물의 시간적인 안정동위원소분화를 고려하지 않고 새로운 물의 평균값을 이용하였을 때 계통오차가 발생함을 보였다. 이러한 표준오차의 크기는 (1) 새로운 물이 하천에 많이 기여할수록, (2) 사용된 평균값과 분화된 새로운 물의 안정동위원소 값과 차이가 클수록, 마지막으로 (3) 오래된 물과 새로운 물의 안정동위원소 값의 차이가 작을수록 커진다. 집중 호우로 유출이 증가하거나 봄철에 지면이 아직 녹지 않아 융설이 유출이 되는 경우 새로운 물이 하천에 미치는 영향이 커지게 되어 상대오차 역시 증가한다. 이러한 오차를 줄이기 위해서 각각의 새로운 물, 오래된 물, 하천의 안정동위원소를 같은 시간 간격으로 측정하여 새로운 물이 분화되는 것을 고려한 수문분리법을 수행하는 것을 고려하여야 한다.

기저유출 분리를 위한 강우와 감수곡선간의 상관해석 (An Analysis of the Relationship between Rainfall and Recession Hydrograph for Base Flow Separation)

  • 이원환;김재한
    • 물과 미래
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    • 제18권1호
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    • pp.85-94
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    • 1985
  • 수치해법와 경험적 방법을 합성함으로써 하천수문곡선의 기저유출을 분리하는 방법을 개발하였다. 기저유출 감수곡선에 대해서는 선형화된 Boussinesq 방정식과 저유함수를 적용하였으며, 또한 강우에 의하여 지하의 대수층에 침투된 량이 하천으로 유입되는 기저유출의 추정에는 Singh과 Stall의 도식적 방법을 이용하였다. 이들에대한 시간별 연속성은 다원적인 다항식 회귀론에 의하여 근사화시켰다. 본 연구과정은 자연하천에 성공적으로 적용할 수 있었으나, 감수곡선을 위한 동차선형2단상징분계의 직접적 수치해법은 부적합한 것으로 나타났으며, 손실이 발생되는 부분침투천의 기저유량은 본 연구방법에 의하여 추정할 수 없었다.

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Comparative Analysis of Baseflow Separation using Conventional and Deep Learning Techniques

  • Yusuff, Kareem Kola;Shiksa, Bastola;Park, Kidoo;Jung, Younghun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2022년도 학술발표회
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    • pp.149-149
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    • 2022
  • Accurate quantitative evaluation of baseflow contribution to streamflow is imperative to address seasonal drought vulnerability, flood occurrence and groundwater management concerns for efficient and sustainable water resources management in watersheds. Several baseflow separation algorithms using recursive filters, graphical method and tracer or chemical balance have been developed but resulting baseflow outputs always show wide variations, thereby making it hard to determine best separation technique. Therefore, the current global shift towards implementation of artificial intelligence (AI) in water resources is employed to compare the performance of deep learning models with conventional hydrograph separation techniques to quantify baseflow contribution to streamflow of Piney River watershed, Tennessee from 2001-2021. Streamflow values are obtained from the USGS station 03602500 and modeled to generate values of Baseflow Index (BI) using Web-based Hydrograph Analysis (WHAT) model. Annual and seasonal baseflow outputs from the traditional separation techniques are compared with results of Long Short Term Memory (LSTM) and simple Gated Recurrent Unit (GRU) models. The GRU model gave optimal BFI values during the four seasons with average NSE = 0.98, KGE = 0.97, r = 0.89 and future baseflow volumes are predicted. AI offers easier and more accurate approach to groundwater management and surface runoff modeling to create effective water policy frameworks for disaster management.

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Hydrograph Separation using Geochemical tracers by Three-Component Mixing Model for the Coniferous Forested Catchment in Gwangneung Gyeonggido, Republic of Korea

  • Kim, Kyongha;Yoo, Jae-Yun
    • 한국산림과학회지
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    • 제96권5호
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    • pp.561-566
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    • 2007
  • This study was conducted to clarify runoff production processes in forested catchment through hydrograph separation using three-component mixing model based on the End Member Mixing Analysis (EMMA) model. The study area is located in the coniferous-forested experimental catchment, Gwangneung Gyeonggido near Seoul, Korea (N 37 45', E 127 09'). This catchment is covered by Pinus Korainensis and Abies holophylla planted at stocking rate of 3,000 trees $ha^{-1}$ in 1976. Thinning and pruning were carried out two times in the spring of 1996 and 2004 respectively. We monitored 8 successive events during the periods from June 15 to September 15, 2005. Throughfall, soil water and groundwater were sampled by the bulk sampler. Stream water was sampled every 2-hour through ISCO automatic sampler for 48 hours. The geochemical tracers were determined in the result of principal components analysis. The concentrations of $SO_4{^{2-}$ and $Na^+$ for stream water almost were distributed within the bivariate plot of the end members; throughfall, soil water and groundwater. Average contributions of throughfall, soil water and groundwater on producing stream flow for 8 events were 17%, 25% and 58% respectively. The amount of antecedent precipitation (AAP) plays an important role in determining which end members prevail during the event. It was found that ground water contributed more to produce storm runoff in the event of a small AAP compared with the event of a large AAP. On the other hand, rain water showed opposite tendency to ground water. Rain water in storm runoff may be produced by saturation overland flow occurring in the areas where soil moisture content is near saturation. AAP controls the producing mechanism for storm runoff whether surface or subsurface flow prevails.

Hydrograph Separation Using EMMA Model for the Coniferous Forest Catchment in Gwangneung Gyeonggido, Republic of Korea (I) - Determination of the End Members and Tracers -

  • Kim, Kyongha;Yoo, Jae-Yun;Jun, Jae-Hong;Choi, Hyung Tae;Jeong, Yong-Ho
    • 한국산림과학회지
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    • 제95권5호
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    • pp.556-561
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    • 2006
  • This study was conducted to choose end-members and tracers for application of End Member Mixing Analysis (EMMA) model for the coniferous forest catchment, Gwangneung Gyeongi-do near Seoul metropolitan of South Korea (N $37^{\circ}$ 45', E $127^{\circ}$ 09'). This coniferous forest of Pinus Korainensis and Abies holophylla was planted at stocking rate of $3.0stems\;ha^{-1}$ in 1976. Thinning and pruning were carried out two times in the spring of 1996 and 2004 respectively. We monitored two successive rainfall events during ten days from June 26, 205 to July 5, 2005. Two storm events were selected to determine the end members and natural traces for hydrograph separation. The event 1 amounts to 161.9 m for two days from June 26 to 27, 2005. The event 2 precipitates to 139.2 mm for one day of July 1, 205. Throughfall, groundwater, soil water and stream water of the two events above were sampled through the bulk and automatic sampler. Their chemical properties were analyzed for prediction of the main tracer. The end members that contribute to the stream runoff were identified from the three components including groundwater, soil water and throughfall. Each component and stream water in the two events formed the suitable mixing diagram in case of chloride-nitrate ion and sulfate-potassium ion. Especially, chloride-nitrate ion was found to be the most suitable tracers for EMMA model in the two events.