• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2008년도 학술발표회 논문집
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• pp.1324-1328
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• 2008

RUSLE(Revised Universal Soil Loss Equation) is one of empirical models for estimating the soil loss effectively, when there is no measured data from the study areas. It has been researching into application and estimation of the RUSLE parameters in Korea. As one of the RUSLE parameters, the rainfall-runoff erosivity factor R, is closely connected hydrologic characteristics of the study areas. It requires a continuous record of rainfall measurement at a minute time step for each storm to calculate an accurate R factor by the RUSLE methodology and it takes a lot of time to analyze it. For the more simplified and reasonable estimation of the rainfall erosivity, this study researched for correlation between the rainfall erosivity and mean annual precipitation used 122 data from the existing studies in Korea. Considering hydrologic homogeneity, new regression equations are presented and compared with other annual erosive empirical index for the test of application. As the results, the study presents the isoerodent map at 59 sites in Korea, using annual rainfall data by the Korea Meteorological Administration from 1978 to 2007.

• 한국농공학회논문집
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• 제58권6호
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• pp.55-69
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• 2016

RUSLE (Revised Universal Soil Loss Equation) is the empirical formular widely used to estimate rates of soil erosion caused by rainfall and associated overland flow. Among the factors considered in RUSLE, rainfall erosivity factor (R factor) is the major one derived by rainfall intensity and characteristics of rainfall event. There has been developed various methods to estimate R factor, such as energy based methods considering physical schemes of soil erosion and simple methods using the empirical relationship between soil erosion and annual total rainfall. This study is aimed to quantitatively evaluate the variation among the R factors estimated using different methods for South Korea. Station based observation (minutely rainfall data) were collected for 72 stations to investigate the characteristics of rainfall events over the country and similarity and differentness of R factors calculated by each method were compared in various ways. As results use of simple methods generally provided greater R factors comparing to those for energy based methods by 76 % on average and also overestimated the range of factors using different equations. The variation coefficient of annual R factors was calculated as 0.27 on average and the results significantly varied by the stations. Additionally the study demonstrated the rank of methods that would provide exclusive results comparing to others for each station. As it is difficult to find universal way to estimate R factors for specific regions, the efforts to validate and integrate various methods are required to improve the applicability and accuracy of soil erosion estimation.

• 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 2005년도 학술발표회 논문집
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• pp.70-74
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• 2005

임하호 유역은 지질 및 토지피복이 토사유실에 취약한 구조를 가지고 있어 강우발생시 많은 토사가 호소로 유입되어 고탁수의 원인이 되고 있다. 특히 임하호 유역의 지질은 점토질 및 쉐일층으로 구성되어 있어, 강우발생시 흙탕물의 형태로 상당량의 토사가 호소로 유입되므로, 호소내 탁도관측자료는 유역내 토사유실을 평가하는 간접지표가 될 수 있다. 본 연구에서는 GIS 기반 수정범용토사유실공식을 활용하여 연토사유실량을 평가하였으며, 월별로 토사유실량을 배분하기 위해 시강우량자료를 이용한 강우가중치 기법을 개발하였다. 2003년도 탁도자료를 볼때, 강우가중치에 의한 월별토사유실량 방법이 강우량자료에 의한 월별토사유실량보다 더 효과적임을 알 수 있었다

• 한국농공학회논문집
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• 제58권6호
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• pp.23-30
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• 2016

Soil loss is an accompanying phenomenon of hydrologic cycle in watersheds. Both rainfall drops and runoff lead to soil particle detachment, the detached soil particles are transported into streams by runoff. Here, a sediment-laden water problem can be issued if soil particles are severely detached and transported into stream in the watershed. There is a need to estimate or simulate soil erosion in watersheds so that an adequate plan to manage soil erosion can be established. Universal Soil Loss Equation (USLE), therefore, was developed and modified by many researchers for their watersheds, moreover the simple model, USLE, has been employed in many hydrologic models for soil erosion simulations. While the USLE has been applied even in South-Korea, the model is often regarded as being limited in applications for the watersheds in South-Korea since monthly conditions against soil erosion on soil surface are not capable to represent. Thus, the monthly USLE factors against soil erosion, soil erodibility and crop management factors, were established for four major watersheds, which are Daecheong-dam, Soyang-dam, Juam-dam, and Imha-dam watersheds. The monthly factors were established by recent fifteen years from 2000 to 2015. Five crops were selected for the monthly crop management factor establishments. Soil loss estimations with the modified factors were compared to conventional approach that is average annual estimations. The differences ranged from 9.3 % (Juam-dam watershed) to 28.1 % (Daecheong-dam watershed), since the conventional approaches were not capable of seasonally and regionally different conditions.

• 한국수자원학회논문집
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• 제34권3호
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• pp.199-207
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• 2001

개발에 의하여 증가된 토사유출량의 유역외 배출을 최소화하기 위한 침사지 등의 설계에 필요한 검증된 토사유출량 산정기법이 국내에는 없는 실정이다. 따라서 본 연구에서는 현재까지 개발된 각종 장·단시간 호우에 대한 외국의 토사유출량 산정 기법들 중 개정범용토양손실공식(RUSLE)의 국내 적용 가능성을 검토하였다. 전국 7개 개발현장에서 실측한 강우 및 토사유출량 자료를 RUSLE공식에 적용, 그 적용범위 및 한계성 등을 검토한 결과 국내 개발지역에 대한 토사생산량 산정기법으로써의 가능성을 확인하였으며 RUSLE공식의 적용시 우리나라에서 많이 범하고 있는 각 인자별 산정 오류에 대해서도 검토하였다. RUSLE공식 적용시 필요한 토사전달률에 대해서도 우리나라에 적합한 두 가지 기법을 제시하였다.

• 한국토양비료학회지
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• 제31권3호
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• pp.211-215
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• 1998

여주군 여주읍 상거리 내의 임지, 초지, 밭으로 구성되어 있는 소규모 농업유역에서 (35ha) 유출 및 퇴사 탱크를 시설하고 $90^{\circ}V$노치를 설치하여 토양 유실 및 물 수지(收支)를 측정한 결과는 다음과 같다. 유역내 토양 유실량은 $152.2Mg\;35ha^{-1}$으로 유사량은 $78.6Mg\;35ha^{-1}$, 퇴사량 $73.6Mg\;35ha^{-1}$이였다. 유역내 물 유출량은 $65,018Mg\;35ha^{-1}$로 강우량 1,037.9 mm의 17.9 %가 유출되었다 토지 이용별 토양 유실량은 밭 $16.02Mg\;ha^{-1}$, 상전 $2.69Mg\;ha^{-1}$, 초지 $0.58Mg\;ha^{-1}$, 임지 $0.55Mg\;ha^{-1}$ 유실되었다. 토양유실 예측공식에 의한 토양 유실량의 예측치는 실측치보다 임지, 초지 및 밭은 약 20 %정도 과소 추정, 상전은 32% 정도 과소 추정되었다.

• 한국농공학회지
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• 제45권5호
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• pp.85-96
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• 2003

The Revised Universal Soil Loss Equation (RUSLE) has been used in over 100 countries to estimate potential long-term soil erosion from the field. However, the RUSLE estimated soil erosion cannot be used to estimate the sediment delivered to the stream networks. For an effective erosion control, it is necessary to compute sediment delivery ratio (SDR) for watershed and sediment yield at watershed outlet. Thus, the Sediment Assessment Tool for Effective Erosion Control (SATEEC) was developed in this study to compute the sediment yield at any point in the watershed. To compute spatially distributed sediment yield map, the RUSLE was first integrated with the ArcView GIS and three area based sediment delivery ratio methods were incorporated in the SATEEC. The SATEEC was applied to the Bangdong watershed, Chuncheon, Gangwon Province to demonstrate how it can be used to estimate soil loss and sediment yield for a watershed. The sediment yield using USDA SDR method is 8,544 ton/year and 4,949 ton/year with the method by Boyce. Thus, use of watershed specific SDR is highly recommended when comparing the estimated sediment yield with the measured sediment data. The SATEEC was applied with hypothetical cropping scenario and it was found that the SATEEC can be used to assess the impacts of different management on the sediment delivered to the stream networks and to find the sediment source areas for a reach of interest. The SATEEC is an efficient tool to find the best erosion control practices with its easy-to-use interface.

• 한국토양비료학회지
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• 제44권6호
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• pp.983-990
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• 2011

Universal Soil Loss Equation (USLE) has been used to estimate potential long-term soil erosion in the fields. However, the USLE does not estimate sediment yield due to lack of module considering sediment delivery ratio (SDR) for watershed application. For that reason, the Sediment Assessment Tool for Effective Erosion Control (SATEEC) system was developed and applied to compute the sediment yield at watershed scale. However, the R factor of current SATEEC Ver. 2.1 was estimated based on 5-day antecedent rainfall, it is not related with fundamental concept of R factor. To compute R factor accurately, the energy of rainfall strikes should be considered. In this study, the R module in the SATEEC system was enhanced using formulas of Williams, Foster, Cooley, CREAMS which could consider the energy of rainfall strikes. The enhanced SATEEC system ver. 2.2 was applied to the Imha watershed and monthly sediment yield was estimated. As a result of this study, the $R^2$ and NSE values are 0.591 and 0.573 for calibration period, and 0.927 and 0.911 for validation period, respectively. The results demonstrate the enhanced SATEEC System estimates the sediment yield suitably, and it could be used to establish the detailed environmental policy standard using USLE input dataset at watershed scale.

• 한국지리정보학회지
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• 제10권2호
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• pp.112-121
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• 2007

유역에서 발생하는 토양침식의 경우 하천과 가까운 거리에 있는 토사는 하천으로 유입될 가능성이 크지만 하천으로부터 멀리 떨어진 토사는 강우에 의해 하천으로 이송되는 양이 줄어든다. 하천의 유사유출량을 예측하는 것은 유역과 하천의 관리측면에서 기본적인 사항이다. 따라서 유역에서 발생되는 토사량 중 하천으로의 유사유출량을 계산해 낼 필요가 있다. 본 연구의 목적은 유역에서의 토양유실량을 계산하고 강우 시 유출되어 하천으로 유입되는 유사유출량을 예측하여 하천의 유사유출량을 분석하는 것이다. 하천의 유사유출량을 분석하는 방법은 여러 가지가 있으나 본 연구에서는 RUSLE와 GRID를 이용하여 토양유실량을 계산하고, 유사전달비 방법과 경험적 방법을 이용하여 유사유출량을 산정하였다. GIS를 이용하여 유역의 DEM자료와 경사도, 토양도, 토지이용도를 구축하여 RUSLE의 입력자료로 사용하였다. 연구대상지역은 광주광역시에 있는 영산강상류 유역을 선정하였다. 토양유실량은 LS인자를 계산하는 방법에 따라 3가지 방법을 적용하였고 각 방법별로 2가지의 유사전달비 추정방법을 적용하여 6가지 경우에 대해 유사유출량을 산정하였다. 그리고 건교부의 경험적 방법에 의한 유사유출량과 상대적 크기를 비교하였다. 본 연구에서 산정된 유사유출량은 댐이나 하도의 계획, 설계, 관리, 재해영향평가에 활용될 수 있을 것이다.