Korean Journal of Environmental Agriculture (한국환경농학회지)

The Korean Society of Environmental Agriculture (한국환경농학회)
권호 표지
DOI QR코드

DOI QR Code

Development and Application of SATEEC L Module for Slope Length Adjustment Based on Topography Change

  • Kang, Hyun-Woo (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Kim, Ki-Sung (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Park, Youn-Shik (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Kim, Nam-Won (Water Resources Research Division, Korea Institute of Construction Technology) ;
  • Ok, Yong-Sik (Department of Biological Environment, Kangwon National University) ;
  • Kim, Jong-Gun (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Choi, Yun-Ho (Water Pollution Cap System Research Division, National Institute of Environmental Research) ;
  • Lim, Kyoung-Jae (Department of Regional Infrastructures Engineering, Kangwon National University)
  • Published : 2009.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Severe sediment-laden problem has been the hot issue in Korea. It was assumed that agricultural activities and landslides were the primary causes of these problems in watersheds. The USLE-based systems have been widely used in soil erosion studies. However the GIS-based USLE modeling system has limitation in USLE L factors. In this study, the SATEEC L module was developed to reflect the slope length segmentations in the fields. The SATEEC L module was applied to the study watershed to analyze the effects of using the SATEEC L module on estimated sediment. As shown in the comparisons between SATEEC estimated sediment with SWAT values, the SATEEC GA-SDR module derives the SDR with reasonably acceptable accuracies. However, it is worthy to note that the soil erosion using the SATEEC L module for the study watershed was lower than that without using the SATEEC L module by 25%, although the SATEEC estimated sediment values with and without using L module match the SWAT sediment values with similar accuracies. This is because the SATEEC GA-SDR module estimates lower SDR in case of greater soil erosion estimation without the L module and greater SDR in case of lower soil erosion estimation with the L module. This indicates that the SATEEC input parameters, especially L factor, need to be prepared with care for accurate estimation of SDR at a watershed scale and for accurate evaluation of BMPs in the watershed.

Keywords

References

  1. Brown, L.R., 1984. Conserving soils. In: Brown, L.R. (Ed.), State of the World. Norton, New York, pp. 53–75
  2. Wischmeier, W.H. and Smith, D.D. (1978) Predicting rainfall erosion losses. A guide to conservation planning. The USDA Agricultural Handbook No. 537
  3. Flanagan, D.C. and Nearing, M.A. (1995) USDA water erosion prediction project: hillslope profile and watershed model documentation. NSERL Report No. 10. USDA-ARS National Soil Erosion Research Laboratory, West Lafayette, IN 47907-1194
  4. Arnold, J. G., Srinivasan, R., Muttiah, R. S. and Williams, J. R. (1998) Large are hydrologic modeling and assessment part I: model development. Journal of American Water Resources Association 34(1): 73-89 https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  5. Morgan, R.P.C., Quinton, J.N., Smith, R.E., Govers, G., Poesen, J.W.A., Auerswald, K., Chisci, G., Torri, D. and Styczen, M.E. (1998) The European Soil Erosion Model (EUROSEM): a dynamic approach for predicting sediment transport from fields and small catchments. Earth Surface Processes and Landforms 23, 527-544 https://doi.org/10.1002/(SICI)1096-9837(199806)23:6<527::AID-ESP868>3.0.CO;2-5
  6. Yitayew, M., Pokrzywka, S.J. and Renard, K.G. (1999) Using GIS for facilitating erosion estimation. Applied Engineering in Agriculture 15 (4), 295–301 https://doi.org/10.13031/2013.5780
  7. Ouyang, D. and Bartholic, J. (2001) Web-based GIS application for soil erosion prediction. Proceedings of An International Symposium-Soil Erosion Research for the 21st Century Honolulu, HI. Jan. 3-5
  8. Lufafa, A., Tenywa, M.M., Isabirye, M., Majaliwa, M.J.G. and Woomer, P.L. (2003) Prediction of soil erosion in a Lake Victoria basin catchment using a GIS-based universal soil loss model. Agricultural Systems 76, 883-894 https://doi.org/10.1016/S0308-521X(02)00012-4
  9. Lim, K. J., Sagong, M., Engel, B. A., Tang, Z., Choi, J. and Kim, K. (2005) GIS-based sediment assessment tool. CATENA 64 (2005) 61-80 https://doi.org/10.1016/j.catena.2005.06.013
  10. Park, Y. S., Kim, J., Kim, N., Kim, S., Jeon, J., Engel, B. A., Jang, W. and Lim, K. J. (2009) Development of New R, C and SDR Modules for the SATEEC GIS System. In revision
  11. Foster, G.R., Renard, K.G., Yoder, D.C., McCool, D.K. and Weesies, G.A., (1996) RUSLE User's Guide. Soil and Water Cons. Soc
  12. Williams, J. R. (1975) Sediment routing for agricultural watersheds. Water Resour.Bull. 11(5), 965-974 https://doi.org/10.1111/j.1752-1688.1975.tb01817.x
  13. Ouyang, D., and Bartholic J. (1997) Predicting Sediment Devery Ratio in Saginaw Bay Watershed. Proceedings of the 22nd National Association of Environmental Professionals Conference. May 19-23, 1997, Orlando, FL. 659-671
  14. Boyce, R. C. (1975) Sediment Routing with Sediment Delivery Ratios. In: Present and Prospective Technology for ARS, USDA, Washington, D. C
  15. USDA (1972) Sediment Source, Yileds, and Delivery Ratios, National Engineering Handbook, Section 3 Sediment
  16. Vanoni, V. A. (1975) Sedimentation Engineering, Manual and Report No. 54, American Society of Civil Engineers, New York, N.Y
  17. Williams, J. R. and Berndt, H. D. (1977) Sediment Yield Prediction Based on Watershed Hydrology, Trans. of the ASAE, 20, pp. 1100-1104 https://doi.org/10.13031/2013.35710
  18. Holland, J.H., 1975. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, MI. 183
  19. Moore, I. and Burch, G. (1986) Physical Basis of the Length-Slope Factor in the Universal Soil Loss Equation, Soil Science Society of America Journal, 50, pp. 1294-1298 https://doi.org/10.2136/sssaj1986.03615995005000050042x
  20. Moore, I. and Burch, G. (1986) Modeling Erosion and Deposition: Topographic Effects, Trans. of the ASAE, 29(6), pp. 1624-1640 https://doi.org/10.13031/2013.30363
  21. Nash, J. E. and Sutcliffe, J. V. (1970) River flow forecasting through conceptual models, Part I - A discussion of principles, J. Hydrol., 10, 282–290 https://doi.org/10.1016/0022-1694(70)90255-6

Cited by

  1. Evaluation of Effects of Soil Erosion Estimation Accuracy on Sediment Yield with SATEEC L Module vol.53, pp.2, 2011, https://doi.org/10.5389/KSAE.2011.53.2.019
  2. Evaluation of MODIS Gross Primary Production (GPP) by Comparing with GPP from CO2Flux Data Measured in a Mixed Forest Area vol.53, pp.2, 2011, https://doi.org/10.5389/KSAE.2011.53.2.001
  3. Assessment of soil loss in South Korea based on land-cover type vol.29, pp.8, 2015, https://doi.org/10.1007/s00477-015-1027-3