Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Analysis of Sediment Yields at Watershed Scale using Area/Slope-Based Sediment Delivery Ratio in SATEEC

SATEEC 시스템을 이용한 면적/경사도에 의한 유달률 산정 방법에 따른 유사량 분석

  • Park, Younshik (Division of Agricultural Engineering, Kangwon National University) ;
  • Kim, Jonggun (Division of Agricultural Engineering, Kangwon National University) ;
  • Kim, Narnwon (Korea Institute of Construction Technology) ;
  • Kim, Ki-sung (Division of Agricultural Engineering, Kangwon National University) ;
  • Choi, Joongdae (Division of Agricultural Engineering, Kangwon National University) ;
  • Lim, Kyoung Jae (Division of Agricultural Engineering, Kangwon National University)
  • Received : 2007.05.31
  • Accepted : 2007.09.07
  • Published : 2007.09.30
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Abstract

The Universal Soil Loss Equation (USLE) has been used in over 100 countries to estimate potential long-term soil erosion from the field. However, the USLE estimated soil erosion cannot be used to estimate the sediment delivered to the stream networks. For an effective erosion control, it is necessary to compute sediment delivery ratio (SDR) for watershed and sediment yield at watershed outlet. Thus, the Sediment Assessment Tool for Effective Erosion Control (SATEEC) was developed to compute the sediment yield at any point in watershed. In this study, the SATEEC was applied to the Sudong watershed, Chuncheon Gangwon to compare the sediment yield using area-based sediment delivery ratio (SDRA) and slope-based sediment delivery ratio (SDRS) at watershed outlet. The sediment yield using the SDRA by Vanoni, SYA and the sediment yield using the SDRS by Willams and Berndt, SYS were compared for the same sized watersheds. The 19 subwatersheds was 2.19 ha in size, the soil loss and sediment yield were estimated for each subwatershed. Average slope of main stream was about 0.86~3.17%. Soil loss and sediment yield using SDRA and SDRS were distinguished depending on topography, especially in steep and flat areas. The SDRA for all subwatersheds was 0.762, however the SDRS were estimated in the range of 0.553~0.999. The difference between SYA and SYS was -79.74~27.45%. Thus site specific slope-based SDR is more effective in sediment yield estimation than area-based SDR. However it is recommended that watershed characteristic need to be considered in estimating yield behaviors.

Keywords

Acknowledgement

Supported by : 수자원의 지속적 확보기술개발사업단

References

  1. 김상욱, 토지이용변화에 따른 경안천 유역 토양유실에 관한 연구, 석사학위논문, 서울대학교 환경대학원 (1995)
  2. 김윤종, 김원영, 유일현, 민경덕, 류주형, 이영훈, GIS를 이용한 충주호 주변의 비점원 오염 분석 연구 , 한국GIS학회지, 3(1), pp. 1-18 (1993)
  3. 박무종, 손광익, 토양침식의 발생 원인과 분포 특성, 한국수자원학회지, 31(6), pp. 26-33 (1998)
  4. 박철수, 율문천 소유역에서 토지이용에 따른 불특정 오염 Monitoring, 석사학위논문, 강원대학교 (1999)
  5. 유동선, 안재훈, 윤정숙, 허성구, 박윤식, 김종건, 임경재 , 김기성, SATEEC 시스템을 이용한 객토 토양의 토성 고려에 따른 도암댐 유역의 토양유실 및 유사량 분석, 한국물환경학회지, 23(4), pp. 518-526 (2007)
  6. 정영상, 권영기, 임형식, 하상건, 양재의, 강원도 경사지 토양 유실 예측용 신 USLE의 적용을 위한 강수 인자와 토양 침식성인자의 검토, 한국토양비료학회지, 32(1), pp. 31-38 (1999)
  7. 정영상, 신재성, 신용화, 경사지 토양의 침식인자에 관하여, 한국토양비료학회지, 9(2), pp. 107-113 (1976)
  8. 정필균, 고문환, 엄기태, 토양유실량 예측을 위한 작부인자 검토, 한국토양비료학회지, 18(1), pp. 7- 13 (1984)
  9. Amold, J . G., Srinivasan, R., Muttiah, R. S. and Williams, J. R., Large are hydrologic modeling and assessment part I: model development, Journal of American Water Resources Association, 34(I), pp. 73-89 (1998) https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  10. Boyce, R. C., Sediment Routing with Sediment Delivery Ratios. In:Present and Prospective Technology for ARS, USDA, Washington, D. C. (1975)
  11. Foster, G. R., Renard, K. G., Yoder, D. C., McCool, D. K. and Weesies, G. A., User's Guide, Soil & Water Cons. Soc. (1996)
  12. Lim, K. J., Choi, J. D., Kim, K. S., Sagong, M. and Engel, B. A., Development of sediment assessment tool for effective erosion control (SATEEC) in small scale watershed, Transactions of the Korean Society of Agricultural Engineers. 45(5), pp. 85-96 (2003)
  13. Lim, K. J., Sagong, M., Engel, B. A., Zhenxu, T., Choi, J. D. and Kim, K. S., GIS-based sediment assessment tool, Catena, 64, pp. 61-80 (2005) https://doi.org/10.1016/j.catena.2005.06.013
  14. Moore, I. and Burch, G., Physical Basis of the Length-Slope Factor in the Universal Soil Loss Equation, Soil Science Society of America Journal, 50, pp. 1294-1298 (1986a) https://doi.org/10.2136/sssaj1986.03615995005000050042x
  15. Moore, I. and Burch, G., Modeling Erosion and Deposition: Topographic Effects, Trans. of the ASAE, 29(6), pp. 1624-1640 (1986b) https://doi.org/10.13031/2013.30363
  16. USDA, Sediment Source, Yileds, and Delivery Ratios, National Engineering Handbook, Section 3 Sediment (1972)
  17. Vanoni, V. A., Sedimentation Engineering, Manual and Report No. 54, American Society of Civil Engineers, New York, N.Y. (1975)
  18. Williams, J. R., Sediment Yield Prediction with Universal Equation using Runoff Energy Factor. In: Present and Prospective Technology for Predicting Sediment Yield and Sources U.S Depatment of Agriculture, Washington, D.C. pp. 244-252 (1975)
  19. Williams, J. R. and Berndr, H. D., Sediment Yield Prediction Based on Watershed Hydrology. Trans. of the ASAE, 20, pp. 1100-1104 (1977) https://doi.org/10.13031/2013.35710
  20. Wischmeier, W. H. and Smith, D. D., Predicting Rainfall Erosion Losses - A Guide to Conservation Planning, USDA, Agriculture Handbook No.537 (1978)
  21. Yin, Z., Walcott S., Kaplan, B., Cao, J., Lin, W., Chen, M., Liu, D. and Ning, Y., An analysis of the relationship between spatial patterns of water quality and urban development in Shanghai, China, Computers, Environment and Urban Systems, 29, pp. 197-221 (2005) https://doi.org/10.1016/j.compenvurbsys.2003.10.001