국가 전체의 토양유실량을 산정하기 위하여 범용토양유실예측공식 (USLE)과 개정 범용토양유실예측공식(RUSLE)의 각 인자를 재평가하였다. 정 외 (198,B)과 박 외 (2000)의 연구결과를 거리역산가중치법으로 계산하여 전국 150개 시군의 강우유출인자 (R)를 평가하였고, 한국토양총설 (1992), Taxonomical Classification of Korean Soils (2000), 농업환경변동조사사업 보고서 (2003)에 수록되어 있는 정보를 이용하여 390개 토양통, 1321개 토양상에 대한 토양침식성인자 (K)를 산출하였다. 지형인자 (LS)는 1 25,000 토양도를 이용하여 경사도, 경사장, 토지이용에 따른 대표 값을 산정하였으며 식생피복인자 (C)와 침식조절인자 (P)는 지난 27년간 농업과학기술원 토양보전분야의 연구결과를 종합하여 정리하였다 강우유출인자는 시군에 따라 2322-6408 MJ mm $ha^{-1}$$yr^{-1}$$hr^{-1}$이었으며 전체평균은 4276 MJ mm ha $yr^{-1}$$hr^{-1}$이었다. 우리나라의 평균 토양침식성인자는 0.027 MT$r^{-1}$$MJ^{-1}$$mm^{-1}$이었으며 강 상류 및 내륙에 위치한 충북. 경북, 강원 등에서 낮았고, 경기, 충남, 전남등에서 높았다 토지이용별로 보면 논이 0.034 MT hr $MJ^{-1}$$mm^{-1}$로 가장 컸고 밭, 임지, 초지가 각각 0.026, 0.019, 0.020 MT hr $MJ^{-1}$$mm^{-1}$이었다. 밭의 작물인자는 0.06-0.45였으며 초지는 0.003이었다. 침식조절인자는 토양보전농법에 따라 0.01-0.85로 평가되었다.
국가 전체의 토양유실량을 산정하기 위하여 범용토양유실예측공식 (USLE)과 개정 범용토양유실예측공식(RUSLE)의 각 인자를 재평가하였다. 정 외 (198,B)과 박 외 (2000)의 연구결과를 거리역산가중치법으로 계산하여 전국 150개 시군의 강우유출인자 (R)를 평가하였고, 한국토양총설 (1992), Taxonomical Classification of Korean Soils (2000), 농업환경변동조사사업 보고서 (2003)에 수록되어 있는 정보를 이용하여 390개 토양통, 1321개 토양상에 대한 토양침식성인자 (K)를 산출하였다. 지형인자 (LS)는 1 25,000 토양도를 이용하여 경사도, 경사장, 토지이용에 따른 대표 값을 산정하였으며 식생피복인자 (C)와 침식조절인자 (P)는 지난 27년간 농업과학기술원 토양보전분야의 연구결과를 종합하여 정리하였다 강우유출인자는 시군에 따라 2322-6408 MJ mm $ha^{-1}$$yr^{-1}$$hr^{-1}$이었으며 전체평균은 4276 MJ mm ha $yr^{-1}$$hr^{-1}$이었다. 우리나라의 평균 토양침식성인자는 0.027 MT $r^{-1}$$MJ^{-1}$$mm^{-1}$이었으며 강 상류 및 내륙에 위치한 충북. 경북, 강원 등에서 낮았고, 경기, 충남, 전남등에서 높았다 토지이용별로 보면 논이 0.034 MT hr $MJ^{-1}$$mm^{-1}$로 가장 컸고 밭, 임지, 초지가 각각 0.026, 0.019, 0.020 MT hr $MJ^{-1}$$mm^{-1}$이었다. 밭의 작물인자는 0.06-0.45였으며 초지는 0.003이었다. 침식조절인자는 토양보전농법에 따라 0.01-0.85로 평가되었다.
Factors of universal soil loss equation, USLE, and its revised version, RUSLE for Korean soils were reevaluated to estimate the national scale of soil loss based on digital soil maps. Rainfall erosivity factor, R, of 158 locations of cities and counties were spacially interpolated by the inverse dis...
Factors of universal soil loss equation, USLE, and its revised version, RUSLE for Korean soils were reevaluated to estimate the national scale of soil loss based on digital soil maps. Rainfall erosivity factor, R, of 158 locations of cities and counties were spacially interpolated by the inverse distance weight method. Soil erodibility factor, K, of 1321 soil phases of 390 soil series were calculated using the data of soil survey and agri-environmental quality monitoring. Topographic factor, LS, was estimated using soil map of 1:25,000 scale with soil phase and land use type. Cover management factor, C, of major crops and support practice factor, P, were summarized by analyzing the data of lysimeter and field experiments for 27 years (1975-2001) in the National Institute of Agricultural Science and Technology. R factor varied between 2322 and 6408 MJ mm $ha^{-1}$$yr^{-1}$$hr^{-1}$ and the average value was 4276 MJ mm $ha^{-1}$$yr^{-1}$$hr^{-1}$. The average K value was evaluated as 0.027 MT hr $MJ^{-1}$$mm^{-1}$. The highest K factor was found in paddy rice fields, 0.034 MT hr $MJ^{-1}$$mm^{-1}$, and K factors in upland fields, grassland, and forest were 0.026, 0.019, and 0.020 MT hr $MJ^{-1}$$mm^{-1}$, respectively. C factors of upland crops ranged from 0.06 to 0.45 and that of grassland was 0.003. P factor varied between 0.01 and 0.85.
Factors of universal soil loss equation, USLE, and its revised version, RUSLE for Korean soils were reevaluated to estimate the national scale of soil loss based on digital soil maps. Rainfall erosivity factor, R, of 158 locations of cities and counties were spacially interpolated by the inverse distance weight method. Soil erodibility factor, K, of 1321 soil phases of 390 soil series were calculated using the data of soil survey and agri-environmental quality monitoring. Topographic factor, LS, was estimated using soil map of 1:25,000 scale with soil phase and land use type. Cover management factor, C, of major crops and support practice factor, P, were summarized by analyzing the data of lysimeter and field experiments for 27 years (1975-2001) in the National Institute of Agricultural Science and Technology. R factor varied between 2322 and 6408 MJ mm $ha^{-1}$$yr^{-1}$$hr^{-1}$ and the average value was 4276 MJ mm $ha^{-1}$$yr^{-1}$$hr^{-1}$. The average K value was evaluated as 0.027 MT hr $MJ^{-1}$$mm^{-1}$. The highest K factor was found in paddy rice fields, 0.034 MT hr $MJ^{-1}$$mm^{-1}$, and K factors in upland fields, grassland, and forest were 0.026, 0.019, and 0.020 MT hr $MJ^{-1}$$mm^{-1}$, respectively. C factors of upland crops ranged from 0.06 to 0.45 and that of grassland was 0.003. P factor varied between 0.01 and 0.85.
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
제안 방법
In the USLE and its revised version RUSLE, 5 major factors are used to calculate the soil loss for a given site : rainfall and runoff erosivity (R), soil erodibility (K), slope length and steepness (LS), cover management (C), and support practice (P). Each factor is the numerical estimate of a specific condition that affects the severity of soil erosion at a particular location.
This study, therefore, was performed to integrate existing research products with the five factors of USLE and RUSLE in Korea for practical purposes. Soil type and land use type were used to predict the soil loss for cities and counties.
이론/모형
The contents of very fine sand, silt, clay, and organic matter, soil structure code and permeability code were derived from TCKS (NIAST, 2000) which described the characteristics pertaining to the different features of each soil series. Since the soil texture of a soil phase is different from that of representative soil of the series, the particle contents of geologically associated soil series were used for the K factor calculation. The gravel coverage was determined with the gravel content grade divided into 3 groups of none (0-10%), gravelly (10-35%), and skeletal (35%<) in IKS (NIAST, 1992) and the representative value of group was assumed to be 5, 22.
in the same soil series. The contents of very fine sand, silt, clay, and organic matter, soil structure code and permeability code were derived from TCKS (NIAST, 2000) which described the characteristics pertaining to the different features of each soil series. Since the soil texture of a soil phase is different from that of representative soil of the series, the particle contents of geologically associated soil series were used for the K factor calculation.
성능/효과
43 and the regional variation was no bigger than those of the other factors. Support practices were found to reduce soil loss by 50 to 90% compared to upslope and downslope tillage, but the average vahae of the region or the nation could not be estimated since no statistical data were available.
참고문헌 (24)
ASI. 1992. Introduction of soils in Korea Agricultural Sciences Instituce, Suwon Korea
Box, Jr, J, E, 1981. The effect of surface slaty fragment on soil erosion by water. Soil Sci, Soc, Am, J.43:111-116
Jung, P. K., M. H. Ko. and K. T. Um. 1985. Discussion of cropping management factor for estimating soil loss. J. Korean Soc. Soil Sci. Fert. 18:7-13
Jung, P, K, M, H, Ko, J, N. Im, K. T. Um. and D. U. Choi. 1983. Rainfall crosion factor for estimating soil loss. J. Koreun Soc. Soil Sci. Fert, 16:112-118
Jung. Y. S., J. S. Shin and Y. H. Shin. 1976. Erodibility of soils of Korea J, Korean Soc, Soil Sci. Fert. 9:109-113
Jung. Y. S., Y. K. Kwon. H. S. Lim, S, K, Ha. and J. E Yang. 1999. R and K factors for an application of RUSLE on the slope soils in Kangwon-Do, Korea, J. Korean Soc. Soil Sci. Fert. 32:31-38
Kim. Y. H., P. K. Jung, and S, J, Oh. 1991. Effects on soil erosion control with different levels of barley straw mulches. Res, Rept. ORD(S&F) 33:29-33
Laflan. J. M., and W.C. Moldenhsuer. 2003. Ploneering soil erusion prediction. P. 54. In The USLE Story. WASWC Special Publication NO. 1. World Association of Soil ane water Conservation, IA, USA
MeCool. D. K., G. R. Foster. C, K. Mutchier. ane L. D. Meyer. 1989. Revised. slope length factor for the Universal soil Loss Equation. Trans, Am. Soc. Agric. Eng. 32:1571-1576
McCool. D. K., L. C. Brown, G. R. Foster, C. K. Mutchler. and L. D. Meyer. 1987. Revised slope steepness factor for the Universul soil Loss Equation. Trans. Am. Soc. Agric. Eng. 30:1387-1396
NIAST. 2003. Monitoring project on agri-environment quality in Korea. National Institute of Agricultural Science and Technoligy, Suwon, Korea
NIAST. 2000. Taxonomical classification of Kordan soils, National Institute of Agriecultural Science and Technology. Suwon, Korea
OECD. 1982. Agricultual and environmental policies, Opportunities for integration, OECD. Paris. France
OECD. 2001. Environmental indicators for agriculture. V. 3: Soil quality. OECD. paris. France
Oh, S. J, and P, K. Jung. 1995. Effect of soil erosion control with differens grass species on slope land. RDA. J. Agri, Sci, 37:246-250
Oh. S. J., K. Jung. and Y. H. Kim. 1991. Studies on soil erosion control with soil management in sloped faming land. Res. Rept. ORD(S). 33:68-72
Oh, S. J., P. K. Jung. M. H. Ko. Y. H. Kim. and S. H. Kim. 1987. Effect of crosion control with slope length and subsoiling in apple orchard. Res. Rept. ORD(SPM&U) 29:66-70
Park, S. W. 1976. A study on point storm energy influencing to the soil erosion. Korean J. Hydrol. 9:47-54
Park, J. H., H. S. Woo. C. K. Pyun. and K. K. Kim. 2000. A study of distribution of rainfall erosivity in USLE/RUSLE for estimation of soil loss. J. Korea Water Res, Assoc. 33:603-610
Park. C. S. 2002. soil management practiecs to reduce water erosion from the sloped farmland in highland. Ph. D. Thesis. Kangwon National University. Chuncheon, Korea
Shin, J, S., and Y. H. Shin. 1980. The effect of erosion control practices factor value on soil loss. Res. Rept. ORD(SP&M). 22:36-41
Shin. J. S., Y. S. Jung. and Y. H. Shin. 1976. Soil loss prediction for uplands. Res. Rept. ORD(S). 18:1-8
Wischmeier. W. H., and D. D. Smith, 1965 Predicting rainfall-erosion losses from cropland east of the Rocky Mountains: Guide for selection of practices for soil and water conservation. Agrie. Handbook No, 282, US Dep, agric., Washington, DC. USA
Wischmeier, W. H., and D. D. Smith. 1987 Predicting rainfall-erosion losses: A guide to conservation planning. Agric, Handbook No. 537. US Dep. Agric., Washington, DC. USA
※ AI-Helper는 부적절한 답변을 할 수 있습니다.