• 제목/요약/키워드: Universal Soil Loss Equation

검색결과 138건 처리시간 0.028초

수정 IAS 지수를 이용한 북한지역의 강우침식인자 추정 (Estimation of Rainfall Erosivity in North Korea using Modified Institute of Agricultural Sciences)

  • 이준학;허준행
    • 한국토양비료학회지
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    • 제44권6호
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    • pp.1004-1009
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    • 2011
  • Soil erosion in North Korea has been continued to accelerate by deterioration of topographical conditions. However, few studies have been conducted to predict the amount of soil loss in North Korea due to limited data so far. Rainfall erosivity is an important factor to predict the amount of long-term annual soil loss by USLE (universal soil loss equation). The purpose of this study is to investigate rainfall erosivity, which presented the potential risk of soil erosion by water, in North Korea. Annual rainfall erosivities for 27 stations in North Korea for 1983~2010 were calculated using regression models based on modified Institute of Agricultural Sciences (IAS) index in this study. The result showed that annual average rainfall erosivity in North Korea ranged from 2,249 to 7,526 and averaged value was $4,947MJmm\;ha^{-1}\;hr^{-1}\;yr^{-1}$, which corresponded to about 70% of annual average rainfall erosivity in South Korea. The finding was that the potential risk of soil erosion in North Korea has been accelerated by the increase of rainfall erosivity since the late 1990s.

범용토양유실공식(RUSLE) 기법을 활용한 금호강 수변지역의 토양유실위험도 비교 분석 (Utilizing the Revised Universal Soil Loss Equation (RUSLE) Technique Comparative Analysis of Soil Erosion Risk in the Geumhogang Riparian Area)

  • 김정철;윤정도;박정수;최종윤;윤종학
    • 대한원격탐사학회지
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    • 제34권2_1호
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    • pp.179-190
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    • 2018
  • 본 연구는 하천 유역의 정비사업 전 후의 토양유실위험도를 비교하기 위하여 GIS 및 디지타이징 자료를 토대로 수정범용토양유실공식(RUSLE)을 활용하여 분석하였다. 토양유실량을 파악하기 위하여 토지피복지도, 지형도, 토양도, 강수량 등의 자료들을 이용하였으며, 금호강 유역의 수변지역을 범위로 디지타이징한 후, 유역을 행정구역 단위로 분할하여 분석하였다. 하천 정비 전('8)과 후('16)로 토양유실이 전혀 일어나지 않는 지역(클래스 1)에서 심하게 일어나는 지역(클래스 5) 등 총 5단계로 구분하여 분석한 결과, 사업('16) 후 전체지역에 대하여 1, 5 클래스는 감소, 2~4 클래스는 증가한 것으로 나타났다. 대구와 영천은 5 클래스의 면적이 감소하였고, 경산은 5 클래스의 지역이 존재하지 않았다. 이러한 원인은 공원조성과 인공시설물 확대, 농경지 감소 등으로 인하여 5 클래스의 지역이 감소한 것으로 판단되며, 수변지역의 준설 및 공원조성을 위한 하안선 단순화는 하천 유량 및 유속에 의한 토양유실량 증가가 일어난 것으로 추정된다.

효과적인 토양유실 방지대책 수립을 위한 유사평가툴 (Enhanced Sediment Assessment Tool for Effective Erosion Control)

  • 임경재;;최예환;최중대;김기성;신용철;허성구;류창원
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2005년도 학술발표논문집
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    • pp.632-636
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    • 2005
  • Accelerated soil erosion is a worldwide problem because of its economic and environmental impacts. To effectively estimate soil erosion and to establish soil erosion management plans, many computer models have been developed and used. The Revised Universal Soil Loss Equation (RUSLE) has been used in many countries, and input parameter data for RUSLE have been well established over the years. However, the RUSLE cannot be used to estimate the sediment yield for a watershed. Thus, the GIS-based Sediment Assessment Tool for Effective Erosion Control (SATEEC) was developed to estimate soil loss and sediment yield for any location within a watershed using the RUSLE and a spatially distributed sediment delivery ratio. SATEEC was enhanced in this study by developing new modules to:1) simulate the effects of sediment retention basins on the receiving water bodies, 2) prepare input parameters for the Web-based sediment decision support system using a GIS interface. This easy-to-operate SATEEC system can be used to identify areas vulnerable to soil loss and to develop efficient soil erosion management plans.

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RUSLE 모델에 의한 군사격장 피탄지 토양유실량 평가: 토양 유실과 오염 화약물질 이동 상관성 (Assessment of Soil Loss at Military Shooting Range by RUSLE Model: Correlation Between Soil Loss and Migration of Explosive Compounds)

  • 공효영;이광표;이종열;김범준;이아름;배범한;김지연
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제17권6호
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    • pp.119-128
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    • 2012
  • The applicability and accuracy of Revised Universal Soil Loss Equation (RUSLE) model on the estimation of soil loss at impacted area of shooting range was tested to further the understanding of soil erosion at shooting ranges by using RUSLE. At a shooting range located in northern Kyunggi, the amount of soil loss was estimated by RUSLE model and compared with that estimated by Global Positioning System-Total Station survey. As results, the annual soil loss at a study site (202 m long by 79 m wide) was estimated to be 2,915 ton/ha/year by RUSLE and 3,058 ton/ha/year by GPS-TS survey, respectively. The error between two different estimations was less than 5%, however, information on site conditions should be collected more to adjust model coefficients accurately. At the study shooting range, sediments generated by rainfall was transported from the top to near the bottom of the sloping face through sheet erosion as well as rill erosion, forming a gully along the direction of the storm water flow. Coarser fractions of the sediments were redeposited in the limited area along the channel. Distribution characteristics of explosive compounds in soil before and after summer monsoon rainfall in the study area were compared with the erosion patterns. Soil sampling and analyses results showed that the dispersion of explosive compounds in surface soil was consistent with the characteristics of soil erosion and redeposition pattern of sediment movements after rainfalls.

새만금 유역의 토양유실량 예측을 위한 밭 토양의 작물경작인자 산정 (Estimation of Upland Cropping Management Factor for predicting Soil Loss in Saemangeum Watershed)

  • 조영경;이은정;김학관;박승우
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2006년도 학술발표회 논문집
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    • pp.1586-1590
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    • 2006
  • In order to calculate the actual erosion according to the universal soil loss equation (USLE) and to estimate the impact of land use on soil erosion in Saemangeum, it is important to know the C-factor. Based on the USLE crop-growth stages, the cover-management C-factors were calculated for the main crop and crop rotation systems by National Institute of Agricultural Science and Technology. Combining this result with statistical data about crop cultivation area and crop rotation systems, C-factors of each administrative district in Saemangeum watershed were calculated. The range of C-factors were between 0.28 and 0.35. High C-factor value was obtained with Gimje (C = 0.35) and small C-factor values were found in Wanju (C = 0.28) and Jeongeup (C = 0.29). With this result, calculated annual soil loss was 2,804,483 ton per year. Because of the lack of sufficient statistical data about crop rotation systems, further studies are required on collecting field survey data.

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Soil Loss Vulnerability Assessment in the Mekong River Basin

  • Thuy, Hoang Thu;Lee, Giha
    • 한국지반환경공학회 논문집
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    • 제18권1호
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    • pp.37-47
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    • 2017
  • The Mekong River plays an extremely important role in Southeast Asia. Flowing through six countries, including China, Myanmar, Thailand, Laos PDR, Cambodia, and Vietnam, it is a site of great biological and ecological diversity and the habitat of numerous species of fish. It also supports a very large population that lives along the river basin. Therefore, much attention has been focused on the giant Mekong River Basin, particularly, its soil erosion and sedimentation problems. In fact, many methods have been used to calculate and simulate these problems. However, in the case of the Mekong River Basin, the available data is limited because of the extreme size of the area (about $795,000km^2$) and lack of equipment systems in the countries through which the Mekong River flows. In this study, we applied the Universal Soil Loss Equation (USLE) model in a GIS (Geographic Information System) framework to calculate the amount of soil erosion and sediment load during the selected period, from 1951 to 2007. The result points out dangerous areas, such as the Upper Mekong River Basin and 3S Basin (containing the Sekong, Sesan, and Srepok Rivers) that are suffering the serious consequences of soil erosion problems. Moreover, the present model is also useful for supporting river basin management in the implementation of sustainable management practices in the Mekong River Basin and other basins.

토양유실량 여측(予測)을 위한 강우인자(降雨因子)의 분석(分析) (Rainfall Erosion Factor for Estimating Soil Loss)

  • 정필균;고문환;임정남;엄기태;최대웅
    • 한국토양비료학회지
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    • 제16권2호
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    • pp.112-118
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    • 1983
  • 전국 51개(個) 측후소(測候所) 및 분실(分室)의 강우성적(降雨成績)을 이용(利用)하여 토양유실량을 여측(予測)하기 위한 강우인자(降雨因子)(R-factor)를 분석(分析) 검토(檢討)한 결과(結果) 조사지역(調査地域)의 연평균(年平均) R-치(値)는 438이었으며 일반적(一般的)으로 동부지역(東部地域)은 R-치(値)가 200~300으로 낮았고 서부(西部) 및 남부지역(南部地域)과 제주도에서는 300~700으로 높았다. R-치(値)와 강우량(降雨量)과의 관계)는 지수함수의 유의성(有意性)있는 상관이 있었으며 이 관계식을 이용(利用)해 R-치(値)를 추정(推定)할 수 있었다. 포장(圃場)에서 측정(測定)한 토양유실량과 토양유실여측공식에 의(依)해 계산(計算)된 토양유실량을 비교(比較)해 본 결과(結果) 강우인자(降雨因子)는 EI 30을 사용(使用)하는 것이 타당(妥當)하였다.

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RUSLE와 SEDD를 이용한 고랭지 경작지로부터의 토양유실 평가 (Estimating Soil Loss in Alpine Farmland with RUSLE and SEDD)

  • 조홍래;정종철
    • Spatial Information Research
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    • 제13권1호
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    • pp.79-90
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    • 2005
  • 본 연구는 고랭지 경작지로부터 발생하는 토양유실을 정량적으로 추정하는 것을 목적으로 한다. 강원도 내린천 유역을 대상으로 고랭지 경작지에서 발생하는 연간토양 유실량과 이 토양유실량 중 하천에 도달하는 양을 나타내는 유사량을 추정하였다. 연간토양유실량은 RUSLE 공식을 이용하여 추정하였으며, 유사량은 SEDD 모형을 이용하여 산정하였다. 연구결과 대상지역의 $2.6\%$ 면적을 차지하고 있는 밭이 연간 유역 내에서 발생하는 총토양유실량과 유사량에 대하여 각각 $10.9\%$$33.12\%$의 비율을 차지하고 있는 것으로 나타났다 또한 고도 400m 이상에 해당하는 고랭지 경작지의 경우 유역 내에서 총 $1.74\%$의 면적을 차지하고 있으나, 연간 총 토양유실량과 유사량에 대해서는 면적에 비하여 월등히 큰 $7.69\%$$15\%$의 기여를 하고 있는 것으로 분석되었다. 이상의 결과로부터 내린천 유역의 밭 경작지 특히, 고랭지 경작지에서의 토양유실과 유사량 발생이 다른 토지용도에 비하여 매우 심하게 나타나고 있음을 확인할 수 있었다. 따라서 고랭지 경자지로부터의 토양유실 방지대책이 시급히 마련되어야 할 것으로 생각된다.

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일단위 강우량을 고려한 경사지의 토양유실량 분석 (Analysis of soil loss on sloping land considering daily rainfall)

  • 김원준;박범수;이재혁;류지철;장춘화;김영석;박화용;임경재
    • 농업과학연구
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    • 제38권4호
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    • pp.739-745
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    • 2011
  • The MUSLE was utilized in this study to estimate soil erosion using daily precipitation which was main influential factor in soil loss estimation. Various scenarios were simulated to evaluate how transition of slope, agricultural products and precipitation could affect soil loss in the field. It was found that slope was the most affecting factor in soil loss estimation. Especially 1.8 times the soil loss was expected with potato at 45% slope compared with codonopsis at same slope with MUSLE model. Fortunately, farmers had planted codonopsis at this slope to reduce soil erosion from this steep slope. As shown in this study, the MUSLE method could be utilized to determine optimum crop type for each field with various slope conditions to minimize soil erosion. This approach utilized in this study could be applied to other agricultural watersheds to evaluate various soil erosion conditions.

관개용 저수지의 퇴사량과 포착효율의 추정 (Estimating Sediment Deposits and Trap Efficiencies for Irrigation Reservoirs)

  • 김진택;박승우
    • 물과 미래
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    • 제26권3호
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    • pp.63-74
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    • 1993
  • 관개용 저수지의 퇴사량 추정을 위해 총 유실량-유사운송비법을 적용하고 대상 저수지의 유사 포착효율을 추정하는 것이 본 논문의 목적이다. 관개용 저수지 20개를 선정하여 실측자료를 구하고 도양유실량식(Universal Soil Loss Equation, USLE)를 이용하여 저수지 유역의 연평균 토양유실량을 산정하였다. 총토양유실량은 경사지 토양유실량과 하도 유실량으로부터 정의되며 유사운송비를 적용하여 저수지 유입유사량을 정하였다. 저수지 포착효율을 적용한 추정 저수지 퇴사량과 특정 퇴사량자룔를 비교한 결과 대체로 양호한 결과를 나타내었다. 저수지 포착효율은 퇴사량의 유입토사에 대한 비로서 본 연구의 결과가 Brune값과 비교하여 20% 정도의 오차를 보였으며 이를 개선한 관개용 저수지 포착효율 추정식을 제안하였다.

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