필지 단위 주경사장 산정 및 적용을 통한 범용토양유실공식 지형인자 산정 개선 연구
A Study to Determine the Slope Length and Steepness Factor of Universal Soil Loss Equation with Determining and Adapting Major Slope Length at Field Scale
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초록
Universal Soil Loss Equation (USLE) is to estimate potential soil loss and has benefit in use with its simplicity. The equation is composed of fivefactors, one of the factors is the slope length and steepness factor (LS factor) that is for topographic property of fields to estimate potential soil loss. Since the USLE was developed, many equations to compute LS was suggested with field measurement. Nowadays the factor is often computed in GISsoftware with digital elevation model, however it was reported that the factor is very sensitive to the resolution of digital elevation model. In addition,the digital elevation model of high resolution less than 3 meter is required in small field application, however these inputs are not associate with theempirical models’ backgrounds since the empirical models were derived in 22.1 meter field measurements. In the study, four equation to compute LSfactor and two approaches to determine slope length and steepness were examined, and correction factor was suggested to provide reasonable precisionin LS estimations. The correction factor is computed with field area and cell size of digital elevation model, thus the correction factor can be adaptedin any USLE-based models using LS factor at field level.
Abstract
Universal Soil Loss Equation (USLE) is to estimate potential soil loss and has benefit in use with its simplicity. The equation is composed of fivefactors, one of the factors is the slope length and steepness factor (LS factor) that is for topographic property of fields to estimate potential soil loss. Since the USLE was developed, many equations to compute LS was suggested with field measurement. Nowadays the factor is often computed in GISsoftware with digital elevation model, however it was reported that the factor is very sensitive to the resolution of digital elevation model. In addition,the digital elevation model of high resolution less than 3 meter is required in small field application, however these inputs are not associate with theempirical models’ backgrounds since the empirical models were derived in 22.1 meter field measurements. In the study, four equation to compute LSfactor and two approaches to determine slope length and steepness were examined, and correction factor was suggested to provide reasonable precisionin LS estimations. The correction factor is computed with field area and cell size of digital elevation model, thus the correction factor can be adaptedin any USLE-based models using LS factor at field level.
참고문헌 (25)
- C. Bosco, "Modelling soil erosion at European scale: towards harmonization and reproducibility", Natural Hazards and Earth System Sciences, 15(2), pp.225~245 (2015), Copernicus GmbH[DOI]
- I. Chaubey, "Effect of DEM data resolution on SWAT output uncertainty", Hydrological Processes, 19(3), pp.621~628 (2005), Wiley[DOI]
- Fu, X., "Impact of slope length on soil erosion on sloping farmland with crop in red soil hilly region", Transactions of the Chinese Society of Agricultural Engineering, 30(5), pp.91~98 (2014)[DOI]
- Afshin Ghahramani, "Field experiments constraining the probability distribution of particle travel distances during natural rainstorms on different slope gradients", Earth Surface Processes and Landforms, 37(5), pp.473~485 (2012), Wiley[DOI]
- Griffin, M. L., "Estimating soil loss on topographically non-uniform field and farm units", Journal of Soil and Water Conservation, 43, pp.326~331 (1988)
- Hrabalikova, M., "Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall", Soil and Water Research, 12, pp.69~77 (2017)[DOI]
- 김종건, "저해상도 DEM 사용으로 인한 SWAT 지형 인자 추출 오류 개선 모듈 개발 및 평가", 한국물환경학회지, 24(4), pp.488~498 (2008), 한국물환경학회
- 김종건, "한국형 토양유실공식의 GIS 기반 모형에 의한 금강 유역에 대한 토양유실 우심지역 선정에 관한 연구", 지하수토양환경, 22(6), pp.29~36 (2017), 한국지하수토양환경학회[DOI]
- Jonggun Kim, "Evaluation of Regression Models of LOADEST and Eight-Parameter Model for Nitrogen Load Estimations", Water, Air, & Soil Pollution, 229(6), pp.179~ (2018), Springer Science and Business Media LLC[DOI]
- Development of Topsoil Erosion Model for Korea, "Kongju National University", ~ (2017)
- 구자영, "USLE LS 인자 구축시 DEM 해상도가 미치는 영향", 한국물환경학회지, 32(1), pp.89~97 (2016), 한국물환경학회
- S. Lin, "Effect of DEM resolution on SWAT outputs of runoff, sediment and nutrients", Hydrology and Earth System Sciences Discussions, 7(4), pp.4411~4435 (2010), Copernicus GmbH[DOI]
- D. K. McCool, "Revised Slope Steepness Factor for the Universal Soil Loss Equation", Transactions of the ASAE, 30(5), pp.1387~1396 (1987), American Society of Agricultural and Biological Engineers (ASABE)[DOI]
- D. K. McCool, "Revised Slope Length Factor for the Universal Soil Loss Equation", Transactions of the ASAE, 32(5), pp.1571~1576 (1989), American Society of Agricultural and Biological Engineers (ASABE)[DOI]
- A bulletin on the survey of the erosion of topsoil, "Ministry of Environment", Ministry of Environment, ~ (2012)
- Helena M Itasova, "Modelling topographic potential for erosion and deposition using GIS", Geographical Information Systems, 10(5), pp.629~641 (1996), Informa UK Limited[DOI]
- Ian D. Moore, "Physical Basis of the Length-slope Factor in the Universal Soil Loss Equation", Soil Science Society of America Journal, 50(5), pp.1294~1298 (1986), Wiley[DOI]
- Moore, I. D., "Length-slope factors for the Revised Universal Soil Loss Equation : Simplified method of estimation", Journal of Soil and Water Conservation, 47, pp.423~428 (1992)
- Panos Panagos, "A New European Slope Length and Steepness Factor (LS-Factor) for Modeling Soil Erosion by Water", Geosciences, 5(2), pp.117~126 (2015), MDPI AG[DOI]
- Youn Park, "Use of Pollutant Load Regression Models with Various Sampling Frequencies for Annual Load Estimation", Water, 6(6), pp.1685~1697 (2014), MDPI AG[DOI]
- Youn Shik Park, "Analysis for Regression Model Behavior by Sampling Strategy for Annual Pollutant Load Estimation", Journal of Environmental Quality, 44(6), pp.1843~1851 (2015), Wiley[DOI]
- Wischmeier, W. H., "Predicting rainfall erosion losses from cropland east of the Rocky Mountains: A guide for selection of practices for soil and water conservation Handbook No.282", Agricultural Researach Service U. S. Department of Agriculture, ~ (1965)
- Wischmeier, W. H., "Predicting rainfall erosion losses: A guide to conservation planning Handbook No.537", U. S. Department of Agriculture, ~ (1978)
- 유나영, "월단위 토양유실가능성 추정을 위한 ArcGIS 기반의 모형 개발", 한국농공학회논문집, 59(1), pp.21~30 (2017), 한국농공학회
- 유나영, "월단위 토양유실가능성 추정을 위해 개발된 ArcGIS 기반의 모형 적용", 한국농공학회논문집, 59(5), pp.109~126 (2017), 한국농공학회[DOI]