한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제48권7호
  • /
  • Pages.3-14
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  • 2006
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  • 1738-3692(pISSN)
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  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
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Estimating USLE Soil Erosion through GIS-based Decision Support System

  • Her, Y.G. (Dept. of Biological Systems Engineering, Virginia Polytechnic Institute and State Univ.) ;
  • Kang, M.S. (Dept. of Biosystems Eng, Auburm Univ.) ;
  • Park, S.W. (Dept. of Agricultural Engineering, Seoul National Univ.)
  • 발행 : 2006.12.30
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초록

The objective of this study was to develop a GIS-based decision support system (GIS-USLE system) to estimate soil erosion and evaluate its effect on concentrated upland plots in Godang district, Korea. This system was developed for the ArcView environment using A VENUE script. Three modules were used in the GIS-USLE system, namely pre-processing, the USLE factors calculator module, and post-processing. This system benefits from a user friendly environment that allows users with limited computer knowledge to use it. This system was applied to 1,285 individual upland plots ranging from 0.005 to 1.347 ha in size with an average slope steepness of 14 %. The rainfall distributions were estimated using the three methods, namely Mononobe and Yen-Chow with Triangle and with Trapezoid type, and then used to calculate the rainfall erosivity factor. The soil erosion amounts from the 1,285 individual plots in the study area by 2 year return period with a 24h maximum rainfall amount of 154.6 mm were estimated at 5 tons/ha on average. Slope appeared to be the most important factor affecting soil erosion estimation, as expected. The prototype model was applied to the project area, and the results appeared to support the practical applications. By examining many fields simultaneously, this system can easily provide fast estimation of soil erosion and thus reveal the spatial pattern of erosion from fields in a region. This study will help estimate and evaluate soil erosion in concentrated upland districts and identify the best management practices.

키워드

참고문헌

  1. Kim, U. T., Yoon, Y. N., Park, M. J., Yoo, C. S., 2001, A Study of Estimation of Sediment Yield Based on a Distributed System Concept, Journal of Korea Water Resources Association, 34(2): 131-140
  2. Youn, J. K., Won, Y. K., Yu, I. H., Lee, S. M., Min, K. D., 1994, GIS Technology for Soil Loss Analysis, The Journal of GIS Association of Korea, 2(2): 165-174
  3. Kim, J. T., Park, S. W., 1994, Runoff and Soil Losses from Sloping Lands with Different Cropping Practices, The Journal of Korea Society Agricultural and Biological Engineers, 36(1): 73-82
  4. Kim, C. W., Woo, H. S., Sonu, J. H., 1999, Estimation of Rainfall Erosivity in USLE, Journal of Korea Water Resources Association, 32(4): 457-467
  5. Park, M. J., Kim, Y. S., 2001, The study of application for sediment yield model in the developing area, Journal of Korea Water Resources Association, 31(1): 3-17
  6. Son, K. I., 2001, Applicability examination of the RUSLE sediment yield prediction equations in Korea (I), Journal of Korea Water Resources Association, 34(3): 199-207
  7. Woo, C. H., Hwang. K., 1996, A study on the value decision and the application method of USLE factors for the soil loss estimation in the large scale site development area using GIS - In the case of Buju mountain in Mokpo city, Jounal of Korea Institute of Landscape Architecture, 24(3) : 115-132
  8. Woo, C. H., Hwang, K., 1998, Development of a GIS method for the automatic calculation of LS factor of USLE, Jounal of Korea Institute of Landscape Architecture, 26(3): 162-177
  9. Lee, N. J., Lee, Oh, S. J., Jung, P. K., 1996, Sol Loss and Water Runoff in a Watershed in Yeoju, Korean Journal of Soil Science and Fertilizer, 31(3): 211-215
  10. Cho, J. P., 1998, Applications of AGNPS model with rural watersheds having complex land use characteristics, M. S. thesis, Seoul National University
  11. Choi, J. K., Koo, J. W., Son, J. G., 1998, Review on the Unit Conversion with the USLE Application in Korea, Korean Journal of Soil Science and Fertilizer, 31(3): 301-308
  12. Korea Institute of Construction Technology, 1989, Analysis of Temporal Variations for Determining the Local Design Storms (Final)
  13. Ouyang, D., Bartholic, J., 2001, Web-Based GIS Application for Soil Erosion Prediction, Proceeding of An International Symposium - Soil Erosion Research for the 21th Century
  14. Molnar, D. K., Julien, P. Y., 1998, Estimation of Upland Erosion using GIS, Conputer & Geosciences, 24(2): 183-192
  15. Dickie & Maidment, 2000, Hydrologic and Hydraulic Modeling Support with Geographic Information Systems
  16. ESRI, 1998, Programming with Avenue
  17. ESRI, 1999, Advanced ArcView GIS
  18. Foster G. R. et al., 1994, The Revised Universal Soil Loss Equation. Soil Erosion Research Methods
  19. Yitayew, M., Pokrzywka, S. J., Renard, K. G., 1999, Using GIS for facilitating Erosion Estimation, American Society of Agricultural Engineers, 15(4): 295-301
  20. OnWordPress, 2000, ArcView GIS/Avenue Programmer's Reference
  21. OnWordPress, 1999, ArcView GIS/Avenue Developer's Guide
  22. Kinnell, P. I. A., 2001, Slope length factor for applying the USLE-M to erosion in grid cells, Soil & Tillage, 58: 11-17 https://doi.org/10.1016/S0167-1987(00)00179-3
  23. Wischmeier, W. H., 1976, Use and Miuse of the Universal Soil Loss Equation for Water-shed, Journal of Soil and Water Conservation, 31(1): 5-9
  24. Wischmeier, W. H., Smith, D. D., 1978, Predicting Rainfall Erosion Losses, USDA Agr. Handbook
  25. Wischmeier, W. H. et al., 1971, A Soil Erodibility Nomograph for Farmland and Construction sites, Journal of Soil and Water Conservation, 26: 189-193