• 제목/요약/키워드: Soil Loss

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Non-point Source Critical Area Analysis and Embedded RUSLE Model Development for Soil Loss Management in the Congaree River Basin in South Carolina, USA

  • Rhee, Jin-Young;Im, Jung-Ho
    • Spatial Information Research
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    • 제14권4호
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    • pp.363-377
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    • 2006
  • 본 연구에서는 개정범용토양유실공식(RUSLE: Revised Universal Soil Loss Equation)을 이용하여 미국 South Carolina 주 Congaree 유역에 대한 평균 연간 토양 유실량을 산출 하였으며 비점오염원 토양 유실 민감지역을 추출하였다. 평균 연간 토양 유실량은 강우-유출 침식성 인자, 토양침식성 인자, 지면특성 인자, 식생피복 인자, 그리고 토양보존 인자의 곱으로 계산할 수 있으며, 토양 유실 민감지역은 토양 유실량이 토양침식 허용량을 초과하는 지역으로 추출할 수 있다. 연구 결과, 전체 면적의 10% 이상의 면적이 비점오염원 토양 유실 민감 지역으로 확인되었으며, Congaree 유역의 7개 소유역중 Congaree Creek, Gills Creek 소유역의 도심지역과 Cedar Creek 소유역의 농업지역에서 가장 심각한 토양 유실의 위험이 나타났다. 관심 지역의 인위적, 자연적 변화가 토양 유실에 가져오는 영향을 살펴보기 위한 시범 모형으로서, 개정범용토양유실공식에 기초한 내장형 모형이 Visual Basic for Applications (VBA)를 이용하여 ESRI사의 ArcGIS ArcMap 9.0에서 사용할 수 있도록 개발되었다. 이 내장형 모형에서 사용자는 각 소유역의 토지 피복, 식생 유형, 지표 식생 유형, 경사, 작물 유형, 경작 방식 등을 변경시킴으로써 C, LS, P 인자를 변화시킬 수 있으며, 계산된 평균 연간 토양 유실량과 민감 지역을 현재 상태의 값들과 비교하여 앞으로의 토양유실 관리를 위한 주요 정보로 사용할 수 있다.

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준설토의 유실율 결정에 관한 연구 (A Study on the Determination of Loss Ratio in Dredged Soils)

  • 김석열;김승욱;노종구
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 1999년도 Proceedings of the 1999 Annual Conference The Korean Society of Agricutural Engineers
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    • pp.606-611
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    • 1999
  • Recently , the hydraulic fill method is commonly used in many reclamation projects due to lack of fill materialss. The method of hydraulic fill i recalmation is executed by transporting the mixture of water -soil particles into a relcaimed land through dredging pipes, then the dredged soil particels settle down in thewater orflow over an out flow weir with the water. The amount of the volume reductions of dredged soil is considered the sum of the overall settlement by descication shrinkage and self-weigth consolidation and the loss of soil particles flow over a weir. In the present study, hydrometer analysis was performed with the soil samples obtained bofore and after dredging to estimate the amount of soil particles residual at reclaimed area and the loss of soil particles , then it was suggested the method of determining the loss ratio of dredged soils from the tests results. The hydrometer analysis of in-situ soil samples showed that the loss ratio of dredged soils is lowest at the nearest point to dredge pipe and highest at the nearest point of out flow weir.

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소석회를 이용한 급경사 농경지 토양유실 저감 (Reduction of Soil Loss from Sloped Agricultural Field by using Hydrated Lime)

  • 고일하;유찬;박미정;지원현
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제24권2호
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    • pp.1-7
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    • 2019
  • The feasibility of using hydrated lime ($Ca(OH)_2$) was assessed in reducing soil loss in sloped land under field condition. During 6-month monitoring from May to October, amendment of hydrated lime (3%, w/w) to a test plot decreased soil loss by 76% as compared to the unamended plot. However, the growth of natural vegetation was hampered by hydrated lime addition due to pH increase. Hydrated lime can be used as an effective agent to prevent soil loss in sloped land, but additional treatments are needed to preserve vegetation growth, especially in crop fields.

유기퇴비를 이용한 급경사 농경지 토양유실 저감 (Reduction of Soil Loss from Sloped Agricultural Field by using Organic Compost)

  • 고일하;강희천;권요셉;유찬;정문호;지원현
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제25권4호
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    • pp.48-57
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    • 2020
  • The objective of this study was to investigate the feasibility of organic compost for reducing soil loss in 25% sloped farm land. For the study, laboratory and field experiment were performed. After nine weeks monitoring in pot test, hardness of the amended soil with organic compost (1%~3%, w/w) showed two times higher than the control soil. Furthermore, soil loss of that was decreased by 95% under rainfall simulation test. From the result of laboratory experiment, organic compost with 2% (w/w) was applied for field experimental plot. After six month from April to September, the amount of soil loss became 67% of the initial, and the growth of natural vegetation was not hampered. Therefore, organic compost can be used as amendment materials to reduce soil loss in sloped farmland.

유역특성을 고려한 GIS 기반 토양침식량 평가 (Evaluation of GIS-based Soil Loss Amount in Considering Basin Characteristics)

  • 곽동욱;조기성
    • 한국측량학회지
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    • 제24권1호
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    • pp.89-97
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    • 2006
  • 토양침식은 지구상에 존재하는 자원의 기반을 위협하는 중요한 환경문제로 대두되고 있다. 본 연구에서는 토양 침식모형중 GIS와의 연계가 가능하고 중규모유역에서 범용적으로 활용가능한 RUSLE 침식모형을 선정하여 모형에 입력되는 인자들을 GSIS 공간분석기법을 활용하여 추출하였다. 먼저 댐 유역의 토양침식량 평가를 위해 토양도, DEM, 토지피복도와 같은 GIS 자료와 2003년 태풍매미 강우사상을 적용하고, 상하류 유역특성을 고려한 토양침식의 변화를 분석하고자 토양침식인자, 지형인자 그리고 식생피복인자를 분석한 결과, 상류유역에서는 산림의 높은 비율로 인해 토양침식인자와 지형인자의 평균값이 하류유역에 비해 높게 나타났고, 반면 하류유역에서는 완만한 경사의 농경지의 영향으로 식생피복인자의 평균값이 높게 나타남을 알 수 있었다. 그리고, 상하류 유역특성을 고려한 토양침식량 평가 결과, 상류유역의 단위토양침식량이 하류유역보다 약 4.3배 높게 나타남을 알 수 있었다. 따라서 토양침식 저감을 위한 유역대책 수립시 상류유역을 중점 대상지역으로 선정하는 것이 효과 적임을 알 수 있었다.

Integration of GIS-based RUSLE model and SPOT 5 Image to analyze the main source region of soil erosion

  • LEE Geun-Sang;PARK Jin-Hyeog;HWANG Eui-Ho;CHAE Hyo-Sok
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.357-360
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    • 2005
  • Soil loss is widely recognized as a threat to farm livelihoods and ecosystem integrity worldwide. Soil loss prediction models can help address long-range land management planning under natural and agricultural conditions. Even though it is hard to find a model that considers all forms of erosion, some models were developed specifically to aid conservation planners in identifying areas where introducing soil conservation measures will have the most impact on reducing soil loss. Revised Universal Soil Loss Equation (RUSLE) computes the average annual erosion expected on hillslopes by multiplying several factors together: rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), cover management (C), and support practice (P). The value of these factors is determined from field and laboratory experiments. This study calculated soil erosion using GIS-based RUSLE model in Imha basin and examined soil erosion source area using SPOT 5 high-resolution satellite image and land cover map. As a result of analysis, dry field showed high-density soil erosion area and we could easily investigate source area using satellite image. Also we could examine the suitability of soil erosion area applying field survey method in common areas (dry field & orchard area) that are difficult to confirm soil erosion source area using satellite image.

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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.

GIS기반 토사유실모델을 이용한 저수지 사면의 토사유실 영향 분석 (The Influence Analysis for Soil Loss in Reservoir Slant using GIS-based Soil Loss Model)

  • 이근상;박진혁;황의호;고덕구
    • 한국지리정보학회지
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    • 제7권3호
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    • pp.108-117
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    • 2004
  • 임동 유역은 지질 및 토지피복 상태가 토사유실에 취약한 특성을 가지고 있어, 강우발생시 토사유입으로 호소내 수질오염에 큰 영향을 주고 있으며, 특히 이러한 호소내 수질문제의 원인으로 저수지 사변의 토사유실 가능성이 제기되고 있다. 본 연구에서는 저수지 사면에서 발생하는 토사유실 기여율을 평가하기 위해 최근 GIS 및 위성영상과의 연계가 가능한 RUSLE 모형을 선정하였으며 사면에서 발생하는 토사유실 정확도에 큰 영향을 주는 사연의 범위와 폭 그리고 사면상태를 DB로 구축하기 위해 현지조사를 실시하였다. 임동유역에 대한 토사유실량과 비교하여 저수지 사면에서 발생하는 토사유실량과의 영향을 분석한 결과 약 2.64%로 나타났다. 따라서 이러한 결과를 볼 때, 임동 유역의 토사유실량에 비해 저수지 사면의 토사유실 영향은 상대적으로 낮은 것으로 평가되었다.

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산불에 의한 토지피복변화가 토양유실에 미치는 영향분석 (Analysis of effect that land cover change get in Soil Loss by Forest fire)

  • 양인태;김재철;유영걸;오명진
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2003년도 추계학술발표회 논문집
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    • pp.353-358
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    • 2003
  • Soil loss by the rains has effect on natural environment. But It is difficult to find out the data that is surveyed in watershed. In this paper, we chose USLE erosion model, which could be connected easily with GSIS and available generally, and extracted factors which is entered model by using GSIS spatial analysis method. Especially, As revised USLE model, It should be applied in watershed and as it calculated soil loss before forest fire and behind, it analysed the degree that it have an effect on soil loss. Each analyzed factors and the result of soil loss estimate consist of 22m-pixel size, we could identify soil loss by each pixel and distribution form.

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Estimating Unsteady Soil Loss due to Rainfall Impact according to Rim Fire at California

  • Choi, Hyun;Kim, Gihong
    • 한국측량학회지
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    • 제35권4호
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    • pp.269-280
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    • 2017
  • Recently, in the United States, there has been short-term intensive rainfall due to El Ni?o and Rania. The Rim Fire was a wildland fire that was started in a remote canyon in Stanislaus National Forest in California. This portion of the central Sierra Nevada spans Tuolumne and Mariposa counties. This study is about estimating unsteady soil loss due to rainfall impact according to Rim Fire at California. It implies that caution needs to be taken in selecting the grid size for estimating soil loss using numerical modeling approach. Soil loss increased in all duration times before Rim fire. But it increased until 7 days and reduced or kept stable after that. Based on the 2014 average rainfall 1388 mm/yr, soil loss was estimated to be 247,518 ton/ha/yr before Rim Fire, and 9,389,937 ton/ha/yr after that.