• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1310-1314
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• 2008

수도권 지역의 신도시 개발에 따른 유역의 도시화와 인구 증가는 유역의 피복상태를 변화시키고, 생태계에 영향을 미치는 수문학적 과정과 하천수질의 변화를 초래하게 된다. 지표면의 침투, 침루 및 토양함수량을 변화시키고, 차단저류량과 요지저류량(depression storage) 등을 변화시킴으로서 유출량과 수질을 변화시키게 되는 것이다. 이와 같은 수문학적과정을 평가하기 위해서는 수문모형을 사용하는데 본 연구에서는 미국 농림부에서 개발한 SWAT모형을 이용하였다. SWAT-K모형은 SWAT(Soil and Water Assessment Tool) 모형에 인위적, 자연적인 물순환 구조변화와 지표수-지하수 연계 해석 등을 개선하여, 강우 증발산 토양수분 지표수 지하수 등의 시, 공간적 분포를 정량적으로 산정하는 장기유출 해석 모형이다. 또한, 본 모형의 적용을 위하여 GIS를 이용한 공간정보를 처리하여 수문모형의 매개변수를 결정하는 방법이 널리 사용되고 있는데, 본 연구에서는 ArcView GIS를 이용하여 입력자료를 구축하였다. 대상유역은 판교유역으로서 신도시 개발이 한창 진행되고 있는 지역으로서, 개발 과정에 따라 수문특성, 유출특성, 수질변화 특성 등이 계속하여 변화되고 있으며, 개발이 완전히 종료된 이후의 특성을 예측할 필요가 있는 유역이다. 본 연구에서는 SWAT-K모형을 이용하여 판교 신도시 개발에 따른 장기유출량을 예측하였고 모델의 매개변수를 최적화하였으며, 그 결과 본 모델이 장기 유출량 해석 및 판교유역의 수문변화를 평가하는데 유용하게 적용될 수 있을 것으로 판단되었다.

• Journal of Korean Society on Water Environment
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• v.24 no.2
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• pp.185-194
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• 2008

There is increased soil erosion potential at highland agricultural crop fields because of its topographic characteristics and site-specific agricultural management practices performed at these areas. The agricultural upland fields are usually located at the sloping areas, resulting in higher soil loss, pesticides, and nutrients in case of torrential rainfall events or typhoon, such as 2002 Rusa and 2003 MaeMi. At the highland agricultural fields, the soil reconditioning have been performed every year to decrease damage by continuous cropping and pests. Also it has been done to increase crop productivity and soil fertility. The increased amounts of soil used for soil reconditioning are increasing over the years, causing significant impacts on water quality at the receiving water bodies. In this study, the field investigation was done to check soil reconditioning status for potato, carrot, and cabbage at the Doam-dam watershed. With these data obtained from the field investigation, the Soil and Water Assesment Tool (SWAT) model was used to simulate the soil loss reduction with environment-friendly and agronomically enough soil reconditioning. The average soil reconditioning depth for potato was 34.3 cm, 48.3 cm for carrot, and 31.2 cm for cabbage at the Doam-dam watershed. These data were used for SWAT model runs. Before the SWAT simulation, the SWAT ArcView GIS Patch, developed by the Kangwon National University, was applied because of proper simulation of soil erosion and sediment yield at the sloping watershed, such as the Doam-dam watershed. With this patch applied, the Coefficient of Determination ($R^2$) value was 0.85 and the Nash-Sutcliffe Model Efficiency (EI) was 0.75 for flow calibration. The $R^2$ value was 0.87 and the EI was 0.85 for flow validation. For sediment simulation, the $R^2$ value was 0.91 and the EI was 0.70, indicating the SWAT model predicts the soil erosion processes and sediment yield at the Doam-dam watershed. With the calibrated and validated SWAT for the Doam-dam watershed, the soil erosion reduction was investigated for potato, carrot, and cabbage. For potato, around 19.3 cm of soil were over applied to the agricultural field, causing 146% of more soil erosion rate, approximately 33.3 cm, causing 146% of more soil erosion for carrot, and approximately 16.2 cm, causing 44% of more soil erosion. The results obtained in this study showed that excessive soil reconditioning are performed at the highland agricultural fields, causing severe muddy water issues and water quality degradation at the Doam-water watershed. The results can be used to develop soil reconditioning standard policy for various crops at the highland agricultural fields, without causing problems agronomically and environmentally.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1295-1299
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• 2008

Soil erosion is a natural process and has been occurring in most areas in the watershed. However, accelerated soil erosion rates have been causing numerous environmental impacts in recent years. To reduce soil erosion and sediment inflow into the water bodies, site-specific soil erosion best management practices (BMPs) need to be established and implemented. The most commonly used soil erosion model is the Universal Soil Loss Equation (USLE), which have been used in many countries over 30 years. The Sediment Assessment Tool for Effective Erosion Control (SATEEC) ArcView GIS system has been developed and enhanced to estimate the soil erosion and sediment yield from the watershed using the USLE input data. In the last decade, the Soil and Water Assessment Tool (SWAT) model also has been widely used to estimate soil erosion and sediment yield at a watershed scale. The SATEEC system estimates the LS factor using the equation suggested by Moore and Burch, while the SWAT model estimates the LS factor based on the relationship between sub watershed average slope and slope length. Thus the SATEEC and SWAT estimated soil erosion values were compared in this study. The differences in LS factor estimation methods in the SATEEC and SWAT caused significant difference in estimated soil erosion. In this study, the difference was -51.9%(default threshold)$\sim$-54.5%(min. threshold) between SATEEC and non-patched SWAT, and -7.8%(default threshold)$\sim$+3.8%(min. threshold) between SATEEC and patched SWAT estimated soil erosion.

• Journal of Korean Society on Water Environment
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• v.24 no.6
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• pp.690-700
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• 2008

The Soil and Water Assessment Tool (SWAT) model users tend to use the readily available input dataset, such as the Ministry of Environment (MOE) land cover data ignoring temporal and spatial changes in land cover. The SWAT model was calibrated and validated with this land cover data. The EI values were 0.79 and 0.85 for streamflow calibration and validation, respectively. The EI were 0.79 and 0.86 for sediment calibration and validation, respectively. With newly prepared landcover dataset for the Doam-dam watershed, the SWAT model better predicts hydrologic and sediment behaviors. The number of HRUs with new land cover data increased by 70.2% compared with that with the MOE land cover, indicating better representation of small-sized agricultural field boundaries. The SWAT estimated annual average sediment yield with the MOE land cover data was 61.8 ton/ha/year for the Doam-dam watershed, while 36.2 ton/ha/year (70.7% difference) of annual sediment yield with new land cover data. Especially the most significant difference in estimated sediment yield was 548.0% for the subwatershed #2. Therefore it is recommended that one needs to carefully validate land cover for the study watershed for accurate hydrologic and sediment simulation with the SWAT model.

• Journal of The Korean Society of Agricultural Engineers
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• v.50 no.1
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• pp.3-12
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• 2008

Soil erosion is a natural process and has been occurring in most areas in the watershed. However, accelerated soil erosion rates have been causing numerous environmental impacts in recent years. To reduce soil erosion and sediment inflow into the water bodies, site-specific soil erosion best management practices(BMPs) need to be established and implemented. The most commonly used soil erosion model is the Universal Soil Loss Equation(USLE), which have been used in many countries over 30 years. The Sediment Assessment Tool for Effective Erosion Control(SATEEC) ArcView GIS system has been developed and enhanced to estimate the soil erosion and sediment yield trom the watershed using the USLE input data. In the last decade, the Soil and Water Assessment Tool(SWAT) model also has been widely used to estimate soil erosion and sediment yield at a watershed scale. The SATEEC system estimates the LS factor using the equation suggested by Moore and Burch, while the SWAT model estimates the LS factor based on the relationship between sub watershed average slope and slope length. Thus the SATEEC and SWAT estimated soil erosion values were compared in this study. The differences in LS factor estimation methods in the SATEEC and SWAT caused significant difference in estimated soil erosion. In this study, the difference was -51.9%(default threshold)${\sim}-54.5%$(min. threshold) between SATEEC and non-patched SWAT, and -7.8%(default threshold)${\sim}+3.8%$(min. threshold) between SATEEC and patched SWAT estimated soil erosion.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.175-175
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• 2015

기후변화로 인한 환경문제가 심각하게 대두되고 있는 상황에 하천으로 유입되는 토사에 대한 저감공법에 대한 연구가 활발히 이루어지고 있다. 토사 유출양을 산정하기 위해서는 여러 수문모형을 사용하고 있으며 이에 따른 입력자료에 대한 정확성을 요구하고 있는 실정이다. 하지만 입력 자료 중 DEM의 규격에 따른 특별한 규제가 없어 정량화된 규격을 사용하지 않고 있다. 이에 본 연구에서는 수문모형의 입력자료인 DEM의 셀 사이즈 크기 변화에 따른 토사유출 모의 결과의 변화를 확인하고자 한다. DEM의 셀 사이즈의 크기 변화에 따른 토사유출 모의를 위해 선정된 지역은 미국 위스콘신 주의 산악지형을 가지는 소유역 2곳과 평지지역을 가지는 소유역 2곳을 선정하여 연구를 진행했다. 토사유출량을 산정하기 위해 사용된 모형은 미국 농무성에서 개발되어 공급하고 있는 Arc SWAT을 사용하여 모의하였으며 사용된 DEM의 셀 사이즈는 10m, 30m, 50m, 100m의 규격으로 진행하였다. 모의된 결과를 대표적인 보정 및 검증 모형인 SWAT-CUP을 사용하여 보정 및 검증을 진행하였다. SWAT-CUP을 이용하여 추출해낸 Best parameter를 모든 조건에 동일하게 적용한 뒤 검정을 진행한 결과 DEM의 셀 사이즈 변화에 따른 토사 유출량에 많은 차이가 나타났으며 셀 사이즈크기가 작아질수록 좀 더 많은 양의 토사 유출량을 산정하는 것으로 확인하였다. 본 연구를 통해 DEM 셀 사이즈의 정량화의 필요성을 확인하였으며, 앞으로 진행될 토사 유출 관리를 위한 연구에 많은 도움을 줄 것이라 판단된다.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.117-123
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• 2007

최근 도시화 산업화가 진행됨에 따라 급격한 토지이용 변화가 발생되어 이로 인한 수질악화 등의 문제가 대두되면서 효율적인 수자원 관리를 위한 대책이 필요한 실정이다. 특히, 비점오염물질로 인한 수질악화는 수문현상 및 토지이용변화와 밀접한 관련이 있어 그 발생량을 추정하기에 매우 어려움이 많았다. 근래 수문 수질관리를 하기 위한 방법으로 GIS기반의 수질모형을 이용한 연구가 활발히 진행되고 있다. 그 중 SWAT(Soil and Water Assesment Tool)모형은 다양한 토지이용변화로 인한 장기유출과 수질모의가 가능한 모형으로서 적극 활용되고 있다. 본 연구에서는 경안천 유역을 대상으로 ArcView기반의 AVSWAT2000모형을 이용하여 미래 토지이용변화가 수문-수질에 미치는 영향을 분석하고자 하였다. Landsat TM, $ETM^+$ 위성영상으로부터 시계열 토지이용도를 작성하고, CA-Markov기법을 이용하여 2030, 2060, 2090년도의 미래 토지이용변화를 예측하였다. 모형의 입력 자료인 수문 기상자료와 지형자료(DEM, 토양도, 하천도 등), 수질자료(TN, TP, SS)를 구축하여 미래 토지이용변화에 따른 유출량과 비점오염 부하량의 변화를 예측하였다.

• Journal of The Geomorphological Association of Korea
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• v.28 no.1
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• pp.13-33
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• 2021

Successful sediment management at the watershed scale requires an understanding of the erosion, transport and sedimentation processes at the specific site scale. However, studies on the sediment runoff characteristics in a small uppermost watershed, which serves as a sediment supply function, are very rare. Therefore, this study attempted to investigate the fluctuations in major sediment supply areas and sediment runoff in the uppermost mountain small watershed, and for this purpose, ArcSWAT (Soil and Water Assessment Tools with GIS interface) was applied to the Woldong reservoir catchment located in Gosam-myeon, Anseong-si, Gyeonggi-do. The model results were manually calibrated using the monitoring data of the Woldong reservoir sedimentation rate from 2005 to 2007. It was estimated that annual average of 34.4 tons/year of sediment was discharged from the Woldong reservoir basin. This estimate almost coincided with the monitoring data of the Woldong reservoir during the low flow period but tended to be somewhat underestimated during the high flow period. Although the SWAT model does not fully reflect the erosion process of gully and in-channel, this underestimation is probably due to the spatial connectivity of sediment transport and the storage and reactivation of the sediment being transported. Most of the forested hillslopes with a well-developed organic horizon were evaluated as having a low risk of erosion, while the places with the highest risk of erosion were predicted to be distributed in the logged area with some weeds or shrubs (classified as pasture) with relatively steeper slopes, and in the bare land. The results of this study are expected to be useful in developing strategies for sediment control and reservoir management.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1125-1138
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• 2014

In this study, we applied an advanced non-parametric low-flow frequency analysis using boundary kernel by Representative Concentration Pathways (RCPs) climate change scenarios through Arc-SWAT long-term runoff model simulation at the Gwangdong storage reservoir located in Taeback, Gangwondo. The results show that drought frequency under RCPs was expected to increase due to reduced runoff during the near future, and the variation of low-flow time series was appeared greatly under RCP8.5 scenario, respectively. The result from drought frequency of Median flow in the near future (2030s) compared historic period, the case of 30-year low-flow frequency was increased (the RCP4.5 shows +22.4% and the RCP8.5 shows +40.4%), but in the distant future (2080s) expected increase of drought frequency due to the reduction of low-flow (under RCP4.5: -4.7% and RCP8.5: -52.9%), respectively. In case of Quantile 25% flow time series data also expected that the severe drought frequency will be increased in the distant future by reducing low-flow (the RCP4.5 shows -20.8% to -60.0% and the RCP8.5 shows -30.4% to -96.0%). This non-parametric low-flow frequency analysis results according to the RCPs scenarios have expected to consider to take advantage of as a basis data for water resources management and countermeasures of climate change in the mid-watershed over the Korean Peninsula.

• Journal of Korean Society on Water Environment
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• v.24 no.5
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• pp.569-580
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• 2008

In this study, area-weighted slope and slope length module, considering measured field slope and slope length of the agricultural fields within the subwatershed, was developed using the ArcView Avenue programming to reflect the field topography of the Soil and Water Assessment Tool (SWAT) HRU in simulating the hydrology and water quality. Flow and sediment yield estimated values of the SWAT were compared with and without applying area-weighted slope and slope length module, developed in this study. There was 103% increases in estimated sediment with area-weighted slope and slope length module for the study watershed. The soil erosion and sediment yield from only agricultural field in Hae-an watershed was also assessed. There are 111% increase in estimated soil erosion and 112% increase in estimated sediment by applying area-weighted slope and slope length module. This study shows that the area-weighted slope and slope length module needs to be utilized in estimating the HRU field slope and slope length for accurate estimation of soil erosion and nonponit source pollutant modeling with the SWAT although it is not feasible to measure topographic information for every agricultural fields within the watershed. The area-weighted slope and slope length module can be used in identifying soil erosion hot spot areas for developing cost effective and efficient soil erosion management practices.