Prediction of Watershed Erosion and Deposition Potentials

유역침식 및 퇴적 잠재능 예측모델 개발

  • Son, Kwang-Ik (School of Civil & Environmental Eng., Yeungnam Univ.)
  • Published : 2007.03.31

Abstract

A model for predicting potentials of land erosion and deposition over a natural basin was developed based on the mass balance principle. The program was developed based on sediment mass balance principle for each cell in a GIS. Sediment yield from a cell was estimated with RUSLE. The outflow sediment from a cell was calculated by multiplying the sediment yield of the cell by the sediment delivery ratio (SDR) of the cell. The outflow sediment from the upstream cell becomes the incoming sediment of the downstream cell. Therefore the erosion and deposition potential of each cell could be determined from the sediment mass balance i.e., the difference between the incoming and outflow of sediments of each cell. The developed model was validated by comparing the predicted sediment yields for three basins with measured data.

References

  1. Elliot, W. J., Hall, D. E. & Scheele, D. L. (2000). WEPP Interface for Disturbed Forest and Range Runoff, Erosion and Sediment Delivery, USDA Forest Service Rocky Mountain Research Station and San Dimas Technology and Development Center
  2. Ferro, V. & Minacapilli, M. (1995) Sediment delivery processes at basin scale. Hydrol. Sci. 40(6), pp. 703-717 https://doi.org/10.1080/02626669509491460
  3. Ferro, V., Porto, P. & Tusa, G. (1998) Testing a distributed approach for modelling sediment delivery. Hydrol. Sci. 43 (3), pp. 425-442 https://doi.org/10.1080/02626669809492136
  4. Quinn. P., Beven, K., Chevaller, P. & Planchon, O. (1991). The prediction of hillslope flow paths for distributed hydrological modelling using Digital Terrain Models. Hydrol. Processes 5, 59-79
  5. Wischmeier W. H. & Smith, D. D. (1965). Predicting rainfall erosion losses from cropland East of the Rocky Mountains. US. Dep. Agric. Agricultural Research service. Agricultural Handbook. no. 282
  6. Son, K. I. (2001). Applicability examination of the RUSLE sediment yield prediction equations in Korea. J. Korea Water Resour. Assoc. 34 (3), pp. 199-207
  7. Swift, L.W. Jr. (2000). Equation to dissipate sediment from a grid cell downslope. USDA Forest Service, USA
  8. 植松久芳, 白石品二(2006). 氣象情報 . 防災情報の利活用促進するために, 2006年度秋季大會豫 稿集, 日本氣象學會, pp. 200
  9. Son, K. I. (2003). Evaluation of LS Parameters in USLE using GIS. J. Korean Soc. Civil Engnrs 23, (4B), pp. 281-287
  10. Hickey, R, Smith, A. & Jankowski, P. (1994) Slope length calculations from a DEM within ARC/INFO GRID: Computers, Environment and Urban Systems 18 (5), pp. 365-380 https://doi.org/10.1016/0198-9715(94)90017-5
  11. 植松久芳, 白石品二(2006). 氣象情報 . 防災情報の利活用促進するために, 2006年度秋季大會豫 稿集, 日本氣象學會, pp. 200