Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회지)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
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Estimating Unsteady Soil Loss due to Rainfall Impact according to Rim Fire at California

  • Choi, Hyun (Dept. of Civil Engineering, Kyungnam University) ;
  • Kim, Gihong (Dept. of Civil Engineering, Gangneung-Wonju National University)
  • Received : 2017.07.21
  • Accepted : 2017.08.29
  • Published : 2017.08.31
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Abstract

Recently, in the United States, there has been short-term intensive rainfall due to El Ni?o and Rania. The Rim Fire was a wildland fire that was started in a remote canyon in Stanislaus National Forest in California. This portion of the central Sierra Nevada spans Tuolumne and Mariposa counties. This study is about estimating unsteady soil loss due to rainfall impact according to Rim Fire at California. It implies that caution needs to be taken in selecting the grid size for estimating soil loss using numerical modeling approach. Soil loss increased in all duration times before Rim fire. But it increased until 7 days and reduced or kept stable after that. Based on the 2014 average rainfall 1388 mm/yr, soil loss was estimated to be 247,518 ton/ha/yr before Rim Fire, and 9,389,937 ton/ha/yr after that.

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References

  1. Choi, H. (2016), Analysis of the adequacy check dam according to soil loss using RUSLE, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 34, No. 5, pp. 515-524. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2016.34.5.515
  2. Ferri, V. and Minacapilli, M. (1995), Sediment delivery processes at the basin scale, Hydrological Science Journal, Vol. 40, pp. 703-717. https://doi.org/10.1080/02626669509491460
  3. Israelsen, C.E., Clyde, C.G., Fletcher, J.E., Israelsen, E.K. Haws, F.W., Packer, P.E., and Farmer, E.E. (1980), Erosion Control during Highway Construction. Manual of Principles and Practices, Nat. Coop. Highway Research Program, Report 221, Transportation Research Board, Nat. Research Council, Washington D.C, 98p.
  4. KICT (2002), Enhancing the Usability of NGIS in the Water Resources Parts, KICT (Korea Institute of Civil Engineering and Building Technology). (in Korean)
  5. Kim, J., Kim, K., and Yeon, G. (2003), Analysis of soil erosion hazard zone using GIS, Journal of the Korean Association of Geographic Information Studies, Vol. 6, No. 2, pp. 22- 32. (in Korean with English abstract)
  6. Moore, I. and Burch, G. (1986), Physical basis of the lengthslope factor in the Universal Soil Loss Equation, Soil Society of America Journal, Vol. 50, pp. 1294-1298. https://doi.org/10.2136/sssaj1986.03615995005000050042x
  7. Nanna, S. (1996), A Geo-Information Theoretical Approach To Inductive Erosion Modelling Based On Terrain Mapping Units, Ph.D. dissertation, Wageningen Agricultural University, USA, 234p.
  8. Ouyang, D. and Bartholic J. (1997), Predicting sediment delivery ratio in saginaw bay watershed. Proceedings of the 22nd National Association of Environmental Professionals Conference, May 19-23, 1997, Orlando FL. pp. 659-671.
  9. Park, W., Hong, S., Ahn, C., and Choi, H. (2013), Assessment of soil loss in irrigation reservoir based on GIS, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 31, No. 6-1, pp. 439-446. https://doi.org/10.7848/ksgpc.2013.31.6-1.439
  10. Renard, K.G., Foster G.R., Weesies G.A., McCool D.K., and Yoder D.C. (1997), Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE), Agricultural Handbook, U.S. Department of Agriculture, Washington D.C., USA, 384p.
  11. Renfro, G. W. (1975), Use of erosion equations and sediment delivery ratios for predicting sediment yield. In Present and Prospective technology for Predicting Sediment Yields and Sources, Agricultural Resources Services, ARS-S-40, US Dept. Agric., Washington, D.C., pp.33-45.
  12. Wallling, D.E. (1983), The sediment delivery problem, Journal of Hydrology, Vol. 65, pp. 209-237. https://doi.org/10.1016/0022-1694(83)90217-2
  13. Wischmeier, W. and Smith D. (1978), Predicting Rainfall Erosion Losses, USDA Agr., Handbook, 78p.

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