적용 기법에 따른 강우침식인자 산정 결과의 시공간적 불확실성
Spatiotemporal Uncertainty of Rainfall Erosivity Factor Estimated Using Different Methodologies
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
RUSLE (Revised Universal Soil Loss Equation) is the empirical formular widely used to estimate rates of soil erosion caused by rainfall and associatedoverland flow. Among the factors considered in RUSLE, rainfall erosivity factor (R factor) is the major one derived by rainfall intensity andcharacteristics of rainfall event. There has been developed various methods to estimate R factor, such as energy based methods considering physicalschemes of soil erosion and simple methods using the empirical relationship between soil erosion and annual total rainfall. This study is aimed toquantitatively evaluate the variation among the R factors estimated using different methods for South Korea. Station based observation (minutely rainfalldata) were collected for 72 stations to investigate the characteristics of rainfall events over the country and similarity and differentness of R factorscalculated by each method were compared in various ways. As results use of simple methods generally provided greater R factors comparing to those forenergy based methods by 76 % on average and also overestimated the range of factors using different equations. The variation coefficient of annual Rfactors was calculated as 0.27 on average and the results significantly varied by the stations. Additionally the study demonstrated the rank of methods thatwould provide exclusive results comparing to others for each station. As it is difficult to find universal way to estimate R factors for specific regions, theefforts to validate and integrate various methods are required to improve the applicability and accuracy of soil erosion estimation.
Abstract
RUSLE (Revised Universal Soil Loss Equation) is the empirical formular widely used to estimate rates of soil erosion caused by rainfall and associatedoverland flow. Among the factors considered in RUSLE, rainfall erosivity factor (R factor) is the major one derived by rainfall intensity andcharacteristics of rainfall event. There has been developed various methods to estimate R factor, such as energy based methods considering physicalschemes of soil erosion and simple methods using the empirical relationship between soil erosion and annual total rainfall. This study is aimed toquantitatively evaluate the variation among the R factors estimated using different methods for South Korea. Station based observation (minutely rainfalldata) were collected for 72 stations to investigate the characteristics of rainfall events over the country and similarity and differentness of R factorscalculated by each method were compared in various ways. As results use of simple methods generally provided greater R factors comparing to those forenergy based methods by 76 % on average and also overestimated the range of factors using different equations. The variation coefficient of annual Rfactors was calculated as 0.27 on average and the results significantly varied by the stations. Additionally the study demonstrated the rank of methods thatwould provide exclusive results comparing to others for each station. As it is difficult to find universal way to estimate R factors for specific regions, theefforts to validate and integrate various methods are required to improve the applicability and accuracy of soil erosion estimation.
참고문헌 (29)
- Brown, L. C, "Storm erosivity using idealized intensity distributions", Transactions of the American Society of Agricultural Engineers, 30, pp.379~386 (1987)
- Carter, C. E, "Raindrop characteristics in south central United States", Transactions of American Society of Agricultural Engineers, 17, pp.100~103 (1974)
- 조홍래, "RUSLE와 SEDD를 이용한 고랭지 경작지로부터의 토양유실 평가", Spatial Information Research, 13(1), pp.79~90 (2005), 한국공간정보학회
- El-Swaify, S. A, "Soil Erosion and Conversion", Soil Conservation Society of America, Ankeny, ~ (1985)
- 공효영, "RUSLE 모델에 의한 군사격장 피탄지 토양유실량 평가: 토양 유실과 오염 화약물질 이동 상관성", 지하수토양환경, 17(6), pp.119~128 (2012), 한국지하수토양환경학회
- Jayawardena, A. W, "Drop size distribution and kinetic energy load of rainstorms in Hong Kong", Hydrological Processes, 14, pp.1069~1082 (2000)
- Jung, P. K, "Rainfall Erosion Factor for Estimating Soil Loss", Journal of the Korean Society of Soil Science and Fertilizer, 16(2), pp.112~118 (1983)
- 강문성, "RUSLE을 위한 반월 주기 강우가식성인자 산정", 한국농공학회논문집, 45(3), pp.29~40 (2003), 한국농공학회
- 김민경, "우리나라 강우량 변화 시나리오에 따른 밭토양의 토양 유실량 변화 예측", 한국토양비료학회지(Korean Journal of Soil Science and Fertilizer), 43(6), pp.789~792 (2010), 한국토양비료학회
- Lee, H. K, "A Study on Estimation of Rainfall Erosivity in RUSLE", Jounal of the Korea Water Resources Association, pp.1324~1328 (2008)
- 이준학, "강우 운동에너지식에 따른 한국의 강우침식인자 평가", 한국토양비료학회지(Korean Journal of Soil Science and Fertilizer), 44(3), pp.337~343 (2011), 한국토양비료학회
- Lee, J. H, "Rainfall Erosivity in Seoul using Various Rainfall Kinetic Equations", Jounal of the Korea Water Resources Association, pp.124~128 (2011)
- 이종설, "강원지역 시험유역에 대한 RUSLE 인자특성 분석 (Ⅱ) - RUSLE 모형의 시험유역 적용을 중심으로 -", 한국방재학회논문집, 9(6), pp.119~124 (2009), 한국방재학회
- 이종설, "RUSLE 모형의 산지유역 적용을 위한 지표관리 인자 산정식 제안", 한국방재학회논문집, 12(2), pp.79~85 (2012), 한국방재학회[DOI]
- 이종설, "강우에너지식 유도를 통한 전국 월별 강우침식인자 특성 분석", 한국방재학회논문집, 13(3), pp.177~184 (2013), 한국방재학회
- McGregor, K. C, "Erosivity index values for northern Mississippi", Transactions of ASAE, 38, pp.1039~1047 (1995)
- Noe, J. K, "A study of the estimation of rainfall kinetic energy based on rainfall characteristics. College of Agricultural Research", Seoul National University, 9(2), pp.23~31 (1984)
- Onega, K, "Land conservation for future generations", pp.627~639 (1988), Department of Land Development
- 박찬원, "토양유실량 예측을 위한 강우침식인자 재산정", 한국토양비료학회지(Korean Journal of Soil Science and Fertilizer), 44(6), pp.977~982 (2011), 한국토양비료학회
- 박찬원, "분포형 토양침식지도를 이용한 한강상류지역 토양유실 위험성 평가", 한국토양비료학회지(Korean Journal of Soil Science and Fertilizer), 43(6), pp.828~836 (2010), 한국토양비료학회
- Park, J. H, "A Study of Distribution of Rainfall Erosivity in USLE", RUSLE for Estimation of Soil Loss, 2000, pp.33(5), 603~610
- Renard, K. G, "Using monthly precipitation data to estimate the R-factor in the revised USLE", Journal of Hydrology, 157, pp.287~306 (1994)
- Roose, E, "Soil Erosion: Prediction and Control", pp.60~74 (1975), Soil and Water Conservation Society
- Rosewell, C. J, "Rainfall kinetic energy in eastern Australia", Journal of Climate and Applied Meteorology, 25, pp.1965~1971 (1986)
- Son, K. I, "Applicability Examination of the RUSLE Sediment Yield Prediction Equation in Korea", Journal of the Korea Water Resources Association, 34(3), pp.199~207 (2001)
- Toxopeus, A. G, "An Interactive Spatial and Temporal Modeling System as a tool in Ecosystem Management", Ph.D, pp.1996
- van Dijk, A.I.J.M, "Rainfall intensity-kinetic energy relationships : a critical literature review", Journal of Hydrology 261, pp.1~23 (2002)
- Predicting rainfall erosion losses: A guide to conservation planning, "Wischmeier, W. H", Dep. Agric., Agric. Handb, 537~ (1978)
- Zanchi, C, "Assessment of erosion" (1980), Wiley