• 한국농공학회논문집
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• 제53권2호
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• pp.19-26
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• 2011

SATEEC ArcView GIS system was developed using the Universal Soil Loss Equation (USLE) and sediment delivery ratio (SDR) modules. In addition, time-variant R and C modules and $R_5$ module were developed and integrated into the SATEEC system in recent years. The SATEEC ArcView GIS 2.1 system is a simple-to-use system which can estimate soil erosion and sediment yield spatially and temporarily using only USLE input data, DEM, and daily rainfall dataset. In this study, the SATEEC 2.1 system was used to evaluate the effects of USLE LS input data considering slope length segmentation on soil erosion and sediment yield estimation. Use of USLE LS with slope length segmentation due to roads in the watershed, soil erosion estimation decreased by 24.70 %. However, the estimated sediment yield using SATEEC GA-SDR matched measured sediment values in both scenarios (EI values of 0.650 and EI 0.651 w/o and w/flow segmentation). This is because the SATEEC GA-SDR module estimates lower SDR in case of greater soil erosion estimation (without flow length segmentation) and greater SDR in case of lower soil erosion estimation (with flow length segmentation). This indicates that the SATEEC soil erosion need to be estimated with care for accurate estimation of SDR at a watershed scale and for accurate evaluation of BMPs in the watershed.

• 한국환경복원기술학회지
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• 제10권1호
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• pp.36-43
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• 2007

This study was carried out to know how erosion control function of forests varies as forests develop in watersheds. The erosion control function among the forest welfare functions can be estimated by comparing sediment yield in stocked with non-stocked area. Sediment yield of reservoirs in stocked area were collected from farmland improvement associations. The sediment yields in non-stocked area were using USLE (Universal Soil Loss Equation) in the same reservoirs. Forests' erosion control function estimated by differences of the sediment yield between stocked and non-stocked area was static model because of no consideration on forest aging. Dynamic model was developed to consider a forest stand age. The model comprises the relationship between average forest age in watershed and sediment yield. The amount of sediment yield was different depending mother rocks. It decreased exponentially according to the forest's grow up. In case of igneous rock, the volume of sediment yield $Y_{ig}=1.4431e\;^{0.023x}$(x=average forest age), metamorphic rock $Y_{me}=4.7115e\;^{0.0694x}$, and sedimentary rock $Y_{se}=1.2808e\;^{0.028x}$.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2009년도 학술발표회 초록집
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• pp.693-697
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• 2009

Physically-based WEPP watershed version was applied to a watershed, located at Jawoon-ri, Gangwon with very detailed rainfall data, rather than daily rainfall data. Then it was validated with measured sediment data collected at the sediment settling ponds and through overland flow. The $R^2$ and the EI for runoff comparisons were 0.88 and 0.91, respectively. For sediment comparisons, the $R^2$ and the EI values were 0.95 and 0.91. Since the WEPP provides higher accuracies in predicting runoff and sediment yield from the study watershed, various slope scenarios (2%, 3%, 5.5%, 8%, 10%, 13%, 15%, 18%, 20%, 23%, 25%, 28%, 30%) were made and simulated sediment yield values were analyzed to develop appropriate soil erosion management practices. It was found that soil erosion increase linearly with increase in slope of the field in the watershed. However, the soil erosion increases dramatically with the slope of 20% or higher. Therefore special care should be taken for the agricultural field with higher slope of 20% or higher. As shown in this study, the WEPP watershed version is suitable model to predict soil erosion where torrential rainfall events are causing significant amount of soil loss from the field and it can also be used to develop site-specific best management practices.

• 농촌계획
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• 제10권1호
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• pp.19-26
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• 2004

In this paper, forestry area change effect on the soil erosion in Asan lake watershed was estimated. Temporal variations of land use in the study watershed were analyzed from Landsat-5 TM remote sensing images. Geographic Information System (GIS) combined with Universal Soil Loss Equation (USLE) was used to estimate the soil erosion of Asan lake watershed. Spatial data for each USLE factors was obtained from the Landsat-5 TM remote sensing images and 1/25,000 scale digital contour maps. Sediment yield to Asan lake was estimated by sediment delivery ratio and sediment accumulation in lake was estimated by trap efficiency. The estimation methods were validated for sediment accumulation in Asan lake. From the hydrographic survey from 1974 to 2003 for Asan lake, sediment accumulation was measured. The estimated accumulation sediment of 303,569ton/yr showed similar value with observed of 295,888ton/yr. From the validated estimation methods, the increasing amount of soil erosion when 1% of forest area in Asan lake watershed decreases was calculated from 12.91 to 1482.05ton/yr.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2008년도 학술발표회 논문집
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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.

• 한국농공학회논문집
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• 제50권1호
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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.

• 지적과 국토정보
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• 제46권1호
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• pp.59-74
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• 2016

최근 기후변화에 따른 집중호우로 인해 도심지 옹벽 및 축대붕괴, 토사유실 그리고 산사태가 발생하고 있다. 본 연구에서는 토양도, DEM, 토지피복도와 같은 공간정보를 RUSLE 모델에 적용하여 토사유실모델링을 수행하였다. 특히 토사유실량을 지적도와 연계하여 필지별로 토사유실 및 단위토사유실 등급도를 작성하였으며, 토사유실 등급별로 필지수를 계산할 수 있었다. 또한 도시계획이나 건설 분야에서 토사유실 등급을 현장에서 확인할 수 있도록 모바일 GIS 기반의 토사재해정보시스템을 개발하였다. 토사재해정보시스템을 통해 토지대장, 건축물대장 그리고 도로구간대장에 대한 현황을 확인할 수 있으며, 필지별로 RUSLE 인자와 토사유실량 그리고 토사재해등급을 확인할 수 있었다. 또한 행정동과 토사유실등급별로 해당 필지의 위치와 속성을 검색함으로써 현장에서 토사재해업무를 효과적으로 지원할 수 있을 것으로 판단된다.

• 한국해안·해양공학회논문집
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• 제33권6호
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• pp.246-256
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• 2021

연안을 중심으로 시행되는 각종 개발사업은 표사수지 불균형, 연안표사 이동상 및 횡단표사 이동상 변화를 야기하며, 이로 인한 해빈의 완충구간 축소로 연안재해 위험성을 크게 증대시킬 뿐 아니라 회복 불가능한 장기적 해안침식 문제를 초래하게 된다. 연안개발을 위해 건설된 각종 구조물의 영향으로 발생되는 장기적·지속적인 해안침식 현상은 표사수지 및 연안표사와 횡단표사 변화량 평가를 통해 직접적인 원인 규명이 가능하다. 즉, 표사수지 변화, 연안표사 이동, 횡단표사 이동 구분되는 이들 개별적인 원인에 기인한 침식지역과 복합적인 작용에 의한 침식지역의 분류를 통해 연안개발과 해안침식 현상의 인과성 평가가 가능할 것이다. 본 연구에서는 연안개발에 따른 침식 문제가 지속적으로 제기되고 있는 동해안(강원도, 경상북도) 일대 해안을 대상으로 연안 구조물 건설 및 육역 개발 등 주요 개발현황과 연안침식 실태조사 결과를 기반으로 장기적·지속적 침식원인을 분석하였다. 아울러 인공구조물 건설에 따른 침식의 정도를 평가하고자 침식 영향도 개념을 정립하고, 침식 영향도 평가를 위한 세 가지 방법론을 제안하였다. 연안침식 실태조사에서 검토된 해빈 영상분석 자료를 활용하여 하저항을 대상으로 침식 영향도를 평가하였으며, 평가결과 하저항 개발은 93.4%, 호안도로 건설은 6.6%로 침식에 영향을 미친것으로 평가되었다.

• Korean Journal of Hydrosciences
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• 제5권
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• pp.71-83
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• 1994

The objectives of the paper are to apply the gross erosion and sediment delivery ratio method for estimating sediment deposits and to define their trap efficiencies. For twenty irrigation reservoirs which have sediment survey data, the gross erosion was estimated from the channel erosion as well as the soil losses by applying USLE. The gross erowion was reduced to the sediment yields by multiplying the sediment delivery ratios. The results were multipled by trap efficiencies after Brune method to estimate sediment deposits, which were compared to sediment surveyed data. The comparisons showed deposits. And a trap efficiency relationship was derived from a regression method, which appeared better suited for irrigation reservoirs.

• 상하수도학회지
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• 제28권5호
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• pp.581-587
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• 2014

Sediment basin that is typical facility installed for development business to prevent soil erosion has low removal efficiency and therefore, it causes complaints from the residents and has a bad effect on ecosystem. Thus there is a limit to control soil erosion using the existing design methods of sediment basin, so the purposes of this study is providing suitable design factors for sediment basin with regarding soil characteristic of development areas and analysing sedimentation characteristic by inflow concentration changes. The results, for analyzing the sedimentation characteristic by soil concentrations within approximately 2,000 ~ 20,000 mg/L of initial SS concentration, indicated similar sedimentation trends for same soil in the supernatant regardless of initial concentrations. However, for different soil characteristic (percent finer), there are different results in sedimentation rate and concentrations of the supernatant. Thus it is recommended that sediment basin to prevent soil erosion during construction should be designed based on retention time derived from soil sedimentation experiments regardless of inlet concentration. In addition, installing the soil erosion prevention facility at the back to satisfy effluent water quality should be considered to minimize soil erosion effectively.