• 한국산학기술학회논문지
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• 제19권4호
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• pp.633-641
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• 2018

최근 들어 홍수와 가뭄과 같은 자연 재해의 위험이 증가하고 있다. 이러한 위험을 저감하기 위하여 신뢰할 수 있는 수문자료는 수자원 분석 및 수공구조물 설계에 있어 매우 중요하다. 한국의 중부에 위치한 용담 구량천 유역은 K-water와 UNESCO IHP의 연구유역으로써 신뢰 할 수 있는 강수량, 유출량, 증발산량 등의 수문자료를 제공하고 있다. 본 연구는 실측된 수문자료를 바탕으로 우리나라의 산지 유역의 유출 특성을 분석하기 위하여 용담 구량천 유역에서의 유출특성을 Probability Distributed Model을 적용하여 분석하였다. 분석 결과, 유역 유축을 홍수기(6월-9월), 평수기(10-5월)로 기간 분리하여 분석하는 것이 필요함을 확인하였다. 유역 유출비가 홍수기에는 0.27~0.41, 평수기에는 0.30~0.45의 분포를 나타내고 있다. Probability Distributed Model은 적용기간에 따라 차별화된 검정 매개변수를 제시하고 있다. 또한, 2015년 평수기를 제외하고 다른 기간은 유역의 유출을 모두 적합(Nash Surcliffe Efficiency >0.7)하게 모의하고 있어 모형의 적용성을 확인하였다. 본 연구는 Probability Distributed Model을 활용한 기간분리를 통한 소규모 산지 유역의 유출특성방법을 제시한다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.165-165
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• 2023

Streamflow prediction is a critical task in water resources management and essential for planning and decision-making purposes. However, the streamflow prediction is challenging due to the complexity and non-linear nature of hydrological processes. The transfer learning is a powerful technique that enables a model to transfer knowledge from a source domain to a target domain, improving model performance with limited data in the target domain. In this study, we apply the transfer learning using the Informer model, which is a state-of-the-art deep learning model for streamflow prediction. The model was trained on a large-scale hydrological dataset in the source basin and then fine-tuned using a smaller dataset available in the target basin to predict the streamflow in the target basin. The results demonstrate that transfer learning using the Informer model significantly outperforms the traditional machine learning models and even other deep learning models for streamflow prediction, especially when the target domain has limited data. Moreover, the results indicate the effectiveness of streamflow prediction when knowledge transfer is used to improve the generalizability of hydrologic models in data-sparse regions.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2009년도 학술발표회 초록집
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• pp.2176-2178
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• 2009

• 한국환경과학회지
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• 제18권6호
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• pp.609-619
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• 2009

SWAT-K model is a modified version of the original SWAT, and is known to more accurately estimate the streamflows and pollutant loadings in Korean watersheds. In this study, its hydrological components were compared with those of HSPF in order to analyse the differences in total runoff including evapotranspiration(ET), surface flow, lateral flow and groundwater flow from the Chungju Dam watershed during $2000{\sim}2006$. Averaged annual runoff with SWAT-K overestimated by 1%, and HSPF underestimated it by 3% than observed runoff. Determination coefficients($R^2$) for observed and simulated daily streamflows by both the models were relatively good(0.80 by SWAT-K and 0.82 by HSPF). Potential ET and actual ET by HSPF were lower in winter, but similar or higher than those by SWAT-K. And though there were some differences in lateral and groundwater flows by two models because of the differences in hydrological algorithms, the results were to be reasonable. From the results, it was suggested that we should utilize a proper model considering the characteristic of study area and purposes of the model application because the simulated results from same input data could be different with models used. Also we should develop a novel model appropriate to Korean watersheds by enhancing limitations of the existing models in the future.

• 한국농공학회지
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• 제42권4호
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• pp.67-75
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• 2000

A simulation model for reservoir sizing was developed to be applied in a region with insufficient hydrological data. Reservoir storage balance equation was formulated on a monthly basis. Gajiyama equation was generalized to estimate monthly reservoir inflow more accurately. Monthly evaporation equation on a reservoir water surface was introduced , which was functioned with monthly mean temperature. Generalized Gajiyama equation was applied to estmate reservoir inflow of the Sayeon dam. Nash-Sutcliffe's model efficiency was 0.793. Using developed model for reservoir sizing, water supply capacity was analyzed with 118.000㎥/day on the Sayeon dam. This showed a reasonable result as compared with 110000㎥/day in other technical report. For general application of developed model, a virtual reservoir was considered and its dta of surface area and volume by elevation was prepared using DEM. Using the model, size of reservoir was determined and water supply capacity was anlayzed on a virtual reservoir.

• 한국농공학회지
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• 제44권7호
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• pp.25-35
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• 2002

In this study, the effect of DEM (Digital Elevation Model) resolution (15m, 30m, 50m, 70m, 100m, 200m, 300m) on the hydrological simulation was examined using the BASINS (Better Assessment Science Integrating point and Nonpoint Source) for the Heukcheon watershed (303.3 ㎢) data from 1998 to 1999. Generally, as the cell size of DEM increased, topographical changes were observed as the original range of elevation decreased. The processing time of watershed delineation and river network needed more time and effort on smaller cell size of DEM. The larger DEM demonstrated had some errors in the junction of river network which might affect on the simulation of water quantity and quality. The area weighted average watershed slope became milder but the length weighted average channel slope became steeper as the DEM size increased. DEM resolution affected substantially on the topographical parameter but less on the hydrological simulation. Considering processing time and accuracy on hydrological simulation, DEM grid size of 100m is recommended for this range of watershed size.

• Advances in environmental research
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• 제7권3호
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• pp.161-175
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• 2018

Krishna River is significantly affected due to Srisailam dam from past 30 years. The impact of this hydraulic structure drastically reduced the minimum flow regime on the downstream, which made the river nearing to decaying stage. In the present paper, Environmental Flow called minimum flow values released for the dam are estimated with the help of three hydrological methods viz., Range of variability Approach (RVA), Desktop Reserve Model (DRM), and Global Environmental Flow Calculator (GEFC). DRM method suggested considering the intermediate values obtained from among the three methods to preserve the ecosystem on the downstream of the river, which amounts to an average annual allocation of 9378 Million Cubic Meter (MCM) which is equal to 23.11% of mean annual flow (MAF). In this regard GEFC and RVA methods accounted for 22% and 31.04% of MAF respectively. The results indicate that current reservoir operation policy is causing a severe hydrological alteration in the high flow season especially in the month of July. The study concluded that in the case of non-availability of environmental information, hydrological indicators can be used to provide the basic assessment of environmental flow requirements. It is inferred from the results obtained from the study, that the new reservoir operations can fulfil human water needs without disturbing Environmental Flow Requirements.

• 한국안전학회지
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• 제27권6호
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• pp.166-171
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• 2012

This study aims to analyze the hydrological characteristics of downstream areas by the dam discharge of Soyanggang dam by using HEC-RAS Model. As a result of analyzing the data of dam discharge divided into hydropeaking discharge and total discharge, it as found that the maximum hydro-peaking discharge and the maximum total discharge have been 254.4 CMS and 1567.7 CMS respectively for the past 11 years. When the hydro-peaking discharge was applied to HEC-RAS Model, there occurred some sections where the water level rapidly changed, but the velocity of moving water was quite stable in the range between 0.23 m/sec and 1.16m/sec. Besides, when the total discharge was applied to this model, the submersible bridge along the dam downstream was flooded, and in some sections, the water level increased over the flood plain. Accordingly, this study judged that it is required to necessarily consider all the influence made by an increase of Soyanggang Dam's discharge when waterfronts are installed or used at dam downstream areas.

• Environmental Engineering Research
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• 제17권4호
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• pp.191-196
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• 2012

Analysis of hydrological safety as well as the determination of many substance concentrations are necessary when bioreactor systems are introduced to landfill operations. Therefore, hydrological and substance balance model was developed since it can be applied to various bioreactor landfill operation systems. For the final evaluation of the model's effectiveness, four different methods of injections (leachate alone, leachate and organic waste water, leachate and reverse osmosis concentrate, and all the above three combination) was applied to 1st landfill site of Sudokwon landfill. As a result, the water content of the hypothetical cases for four different systematic bioreactors is projected to be increased up to 35.5% in next 10 years, and this indicated that there will be no problems in meeting the hydrological safety. Also, the final $Cl^-$ concentration after 10-yr time period was projected to be between from minimum 126 to maximum 3,238 mg/L, which could be still a decrease from the original value of 3,278 mg/L. According to the proposed model, whether the substance concentration becomes increased or decreased largely depends on the ratio of initial quantity of inner landfill leachate and the rate of injection.

• 한국수자원학회논문집
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• 제40권5호
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• pp.419-430
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• 2007

지표수와 지하수의 통합모델링은 지속가능한 수자원과 수질개선에 대한 점증하는 요구를 만족시키기 위해 점차 중요성을 더해가고 있다. 본 연구에서는 준분포형 유역유출모형인 SWAT과 완전분포형 지하수 모형인 MODFLOW의 통합모형을 무심천 유역에 작용하여 유역단위의 수문과정을 재생하였다. 모의결과 2001-2004년의 관측수문곡선과 모의유량수문곡선간의 적합이 잘 나타나는 한편 계산된 지하수위 분포와 관측지하수위와의 보정결과도 양호하게 나타났다. 통합모형은 서로 다른 기간의 강수평균이 하천유출, 침루, 함양, 지하수 유출의 동적과정에 미치는 영향을 평가하는데도 활용되었다. 나아가, 윌별강수와 각 수문성문간의 관계를 살펴보고 함양량의 시공간적 변동성을 분석하기 위한 종합적인 모의를 수행한 결과, 수문성분 상호간에 높은 상관성을 보이며 소유역경사, 토지이용, 토양종류 같은 유역특성의 비균질성이 함양량의 공간변화에 주요 원인인 것으로 확인됐다. 통합모형은 시공간적으로 변모하는 유역단위의 지표수와 지표하 수문과정을 전반적으로 잘 표현하는 것으로 나타났다.