• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.6
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• pp.119-124
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• 2009

In this study, the characteristics of estimating methodology for RUSLE factors such as soil erodibility factor, slope length-steepness factor, and cover management factor were reviewed and then the relative error according to each methodology was analyzed. RUSLE was applied to experimental watershed for 42 storm events and their results were compared with measured sediment yield to examine the applicability of RUSLE. As a result, this paper found that it should be necessary to consider vegetation effect for forest application of RUSLE as cover management was the most sensitive factor. Also, soil erodbility factor was calculated from data of soil series by National Academy of Agricultural Science caused sediment yield to be overestimated because there were big differences between the soil series and on-site soil texture. The 22.7% of maximum relative error was shown according to selecting the rain energy equation. In addition, it will be necessary to verify the RUSLE factors with more data in order to improve their accuracy.

• Journal of Korea Water Resources Association
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• v.34 no.3
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• pp.199-207
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• 2001

Due to the nationwide development, sediment yield has to be estimated to design the sedimentation basin which is used to minimize the effects of construction or disturbing the natural soil condition. But there is no proved equation for the estimation of sediment yield in Korea. Therefore, applicability and the limitation of RUSLE (revised universal sediment loss equation) sediment yield equation is examined for the construction sites, where the rainfall and sediment data are available. General mistakes in estimation of the RUSLE parameters are also discussed. It is found that RUSLE could be applied in Korea as long as the sediment delivery ratio was considered. Appropriate estimation method of sediment delivery ratio are also proposed.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.19 no.1
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• pp.27-37
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• 2001

Soil erosion by outflow of water or rainfall has caused many environmental problems as declining agricultural productivity, damaging pasture and preventing flow of water. As the interest in environment is increasing lately, soil erosion is considered as a serious problem, whereas the systematic regulation and analysis for that have not established yet. This research shows the method of extracting factor entered model which expects soil erosion by GSIS. There are several erosion model such as ANSWER, WEPP, RUSLE. The research used RUSLE erosion model which could expect general soil erosion connected easily with GSIS data. RUSLE's input factors are composed of rainfall runoff factor(R). soil erodibility factor(K), slope length factor(L), slope steepness factor(S), cover management factor(C) and support practice factor(P). The general equation used to extract L, S factor on the RUSLE to be oriented for agricultural area has some limitation to apply whole watershed. So, on this study we used a revised empirical equation applicable to the watershed by grid on the GSIS. Also, we analyzed RUSLE factors by watershed being analyzed with watershed extraction algorithm. Then we could calculate the minimum, maximum. mean and standard deviation of RUSLE factors by watershed.

• Magazine of the Korean Society of Agricultural Engineers
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• v.45 no.3
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• pp.29-40
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• 2003

The objective of the paper is to compute the half-month rainfall-runoff erosivity factor for revised universal soil loss equation (RUSLE). RUSLE is being used to develop soil conservation programs and identify optimum management practices. Rainfall-runoff erosivity factor (R) is a key input parameter to RUSLE. Rainfall-runoff erosivity factor has been calculated for twenty six stations from the nationwide rainfall data from 1973 to 2002 in south Korea. The average annual Rainfall-runoff erosivity factor at the analyzed stations Is between 3,130 and 10,476 (MJ/ha)ㆍ(mm/h). According to the computation of the half-month Rainfall-runoff erosivity factor for locations, 66-85% of the average annual R value has occurred during the summer months, June-August. The half-month R values from this study can be used for RUSLE.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.39-44
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• 2001

A GIS-RUSLE system has been developed to estimate soil losses from where individual fields on a hillslope using the RUSLE in a GIS environment. The GIS-RUSLE adopts a user interface and a user can use the drop-down menus to define the inputs and get the calculated results. The input data are generated from Arc/Info and ArcView GIS and the factors of the RUSLE are provided from ArcView Avenue. Examples of the GIS-RUSLE applications are presented.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.803-807
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• 2010

본 연구는 자연재해대책법에 의해 개발사업으로 인한 재해유발요인을 예측 분석하고 이에 대한 대책을 강구하기 위해 수행되고 있는 사전재해영향평가에서 표준화된 한국토양유실도 자료를 제공하여 자료의 객관화를 이루도록 함을 목적으로 하고 있다. 한국토양유실도 제공 시스템은 2단계에 걸쳐서 수행할 계획이다. 1단계에서는 한국토양유실량 분포도를 RUSLE를 이용하여 작성하였다. 이 RUSLE모에서 강우 에너지인자 산정을 위한 강우량 자료는 기상청의 59개 기상관측소의 1977년부터 2006년까지의 30년간의 자료를 이용하여 24시간 지속시간의 전국 R값을 빈도별로 산정하여 강우에너지인자에 대한 주제도를 작성하였다. 또한 사용한 GIS자료는 USGS DTED Level-2, 국립농업과학원의 정밀 토양도, 환경부의 중분류 토지피복도 자료이고 이들 자료를 이용하여 RUSLE의 각인자별 주제도를 작성하였고, 이를 웹사이트(http://krsc.kict.re.kr/RUSLE/rusle.asp)를 통해 신청인으로부터 메일로 범위(행정구역경계, 1/25,000수치지도 도엽번호, 수자원단위지도 등)를 요청 받거나 수자원단위지도의 중권역 및 표준권역의 경우 사용자가 직접 자료요청을 하여 토양유실도를 제공받는 시스템이다. 2단계에서는 작성된 한국토양유실량 분포도를 제공하는 것은 물론이며, 사용자가 원하는 범위에 대하여 shape 파일을 입력, 강우에너지인자(R) 입력, 그리고 토지피복별에 따른 RUSLE의 C 혹은 P값을 수정하여 분석하거나, 현재 토양통별로 제시된 K값을 사용자가 직접 관측한 값을 이용하여 Web-RUSLE시스템에 입력하면 자동으로 토양유실량을 산정할 수 있는 시스템으로 구축할 계획이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.495-499
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• 2012

토사유출량이란 강우가 발생한 지점에서 토양침식에 의해 생산된 토사가 퇴적 및 이송 등의 과정을 거쳐 유역의 특정 지점까지 도달한 토사량을 의미한다. 토사유출량을 정확하게 산정하는 방법은 현재까지 없다. 그러나 유역단위의 대략적인 토사유출량 산정을 위해서는 경험적 모형인 USLE 모형과 수정된 형태의 RUSLE 모형 또는 MUSLE 모형이 보편적으로 사용되고 있다. 최근에는 지형정보시스템(GIS)의 발달로 RUSLE 모형과 MUSLE 모형이 주로 사용되는데 연평균 토사량 산정에는 RUSLE 모형이 사용되며 단일호우에 대한 토사량은 MUSLE 모형이 사용된다. 그러나 이 모형들은 구곡 및 하천에서의 수리학적 특성 반영하기 힘든 단점이 있어서 유출지점에 따라 유사전달률(SDR)의 개념이 요구된다. RUSLE 모형과 MUSLE 모형에 사용되는 유사전달률은 외국에서의 경험적 공식으로서 우리나라 유역 실정을 제대로 반영하지 못하는 단점이 있다. 그러므로 추후 연구에는 8~10년 이상의 토사유출량 자료를 바탕으로 그 유역의 유사전달률을 결정하고, 그 결과 값을 이용하여 단일호우 사상의 유출량과 모의유출량을 비교하여 MUSLE 모형의 강우인자인 R값을 산정해야 할 것으로 판단된다. 그 선행 작업으로, 본 연구에서는 RUSLE 모형과 기존의 유사전달률을 사용하여 낙동강 상주보까지의 토사유출량을 산정하였다. 상주보유역은 안동댐유역, 임하댐유역, 안동댐하류유역, 내성천유역, 영강유역으로 구성되며 안동댐유역과 임하댐유역은 댐의 차단으로 본 연구의 토사유출량 산정에서 제외하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.4
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• pp.24-36
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• 2003

This study integrates the revised universal soil loss equation(RUSLE) with a grid-based GIS method to assess the potential risk of soil erosion at the watershed scale. Data used in this study to generate the RUSLE factors include several thematic maps such as land use, topographic and soil maps, together with tabular precipitation data. Based on the RUSLE estimation for all the grids(10m cells) in the corresponding watershed, a cumulative histogram for the annual soil loss can be constructed. As the results, it shows that the 83.5% value of the annual soil loss for the watershed is less than 1ton/ha. However, the above 30% of agricultural land is defined as a medium or very high-risk area(more than 10ton/ha/yr). So it is necessary to establish soil conservation practices to reduce soil erosion based on the field observations.

• Journal of the Korean GEO-environmental Society
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• v.3 no.4
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• pp.19-27
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• 2002

Prediction of exact soil loss yield has as important engineering meaning as prediction of exact flow measurement in a stream. The quantity of soil loss in a stream should be considered in planning and management of water resources and water quality such as design and maintenace of hydraulic structures : dams, weirs and seawalls, channel improvement, channel stabilization, flood control, design and operation of reservoirs and design of harbors. In this study, the soil loss of Sap-gyo reservoir watershed is simulated and estimated by RUSLE model which is generally used in the estimation of soil loss. The parameters of RUSLE model are selected and estimated using slope map, landuse map and soil map by GIS. These parameters are applied to RUSLE's estimating program. And soil loss under probability rainfall in different frequencies are estimated by recent 30 years of rainfall data of Sap-gyo reservoir watershed.

• Spatial Information Research
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• v.10 no.2
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• pp.301-316
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• 2002

Soil Loss by outflow of water or rainfall has caused many environmental problems as declining agricultural productivity, damaging pasture and preventing flow of water. Also, validity pondage of reservoir or dam is decreased by rivers inflow of eroded soil. Revised Universal Soil Loss Equation(RUSLE) is mainly used to presume soil loss amount of basin using GIS. But, because comparison with survey data is difficult, it is no large meaning that estimate calculated soil loss amount as quantitative. This research used unit sediment deposit survey data of Bo-seong basin for quantitative conclusion of soil loss amount that calculate on RUSLE. Through comparison examination with unit sediment yield that calculate on RUSLE and unit sediment deposit survey data, we can estimate resolution far RUSLE Model. As a result, cell size of 150m was estimated by thing which is most suitable.