• Monthly Sediment Yield Estimation Based on Watershed-scale Application of ArcSATEEC with Correction Factor
  • Eun Seok Kim1 ·Hanyong Lee1 ·Jae E Yang2 ·Kyoung Jae Lim3 ·Youn Shik Park1,*

  • 1 Rural Construction Engineering, Kongju National University, Chungcheongnam-do 32439, Korea
    2 Department of Biological Environment, Kangwon National University, Gangwon-do 24341, Korea
    3 Department of Regional Infrastructure, Kangwon National University, Gangwon-do 24341, Korea

  • 보정계수 적용을 통한 유역에 대한 ArcSATEEC의 월별 토양유실량
  • 김은석1 ·이한용1 ·양재의2 ·임경재3 ·박윤식1, *

  • 1 공주대학교 지역건설공학과
    2 강원대학교 바이오자원환경학과
    3 강원대학교 지역건설공학과

References
  • 1. De Rosa P., Cencetti C., and Fredduzzi A., 2016, A GRASS tool for the Sediment Delivery Ratio mapping. Proceedings of the 4th Open Source Geospatial Research and Education Symposium, In Marchesini I. & Pierleoni A. (Eds.), Perugia, Italy.
  •  
  • 2. Duda, P.B., Hummel Jr., P.R., Donigian Jr., A.S., and Imhoff, J.C., 2012, BASINS/HSPF: Model use, calibration, and validation. Trans. ASABE, 55(4), 1523-1547.
  •  
  • 3. Folle, S., Dalzell, B., and Mulla, D., 2007, Evaluation of best management practices (BMPs) in impaired watersheds using the SWAT model, Depart of Soil, Water and Climate, University of Minnesota, Minnesota, USA.
  •  
  • 4. Herr, J.W. and Chen, C.W., 2012, WARMF: Model use, calibration, and validation. Trans. ASABE, 55(4), 1385-1394.
  •  
  • 5. Jha, B. and Jha, M.K., 2013, Rating curve estimation of surface water quality data using LOADEST. J. Environ. Protect., 4(8), 849-856.
  •  
  • 6. Jung, K.H., Kim, W.T., Hur, S.O., Ha, S.K., Jung, P.K., and Jung, Y.S., 2004, USLE/RUSLE factors for national scale soil loss es-timation based on the digital detailed soil map. Korean J. Soil Sci. Fert., 37(4), 199-206.
  •  
  • 7. Kim, J., Yang, J.E., Lim, K.J., Kim, S.C., Lee, G., Hwang, S., Yu, N., and Park, Y.S., 2017, A study to define area of concern for potential soil loss in Geumgang watershed by KORSLE-based GIS model, J. Soil Groundwater Environ., 22(6), 29-36.
  •  
  • 8. Kongju National University, 2016, Development of Topsoil Erosion Model for Korea. Yesan-gun: Republic of Korea.
  •  
  • 9. Moriasi, D.N., Gitau, M.W., Pai, N., and Daggupati, P., 2015, Hydrologic and water quality models: performance measures and evaluation criteria. Am. Soc. Agric. Biol. Eng., 58(6), 1763-1785.
  •  
  • 10. Omani N., Srinivasan, R., and Lee, T., 2012, Estimating Sediment and Nutrient Loads of Texas coastal watersheds with SWAT. Spa-tial Sciences Laboratory, Texas A&M University, Texas, USA.
  •  
  • 11. Oh, J., Sinha, T., and Sankarasubramanian, A., 2014, The role of retrospective weather forecasts in developing daily forecasts of nu-trient loadings over the Southeast US. Hydrol. Earth Syst. Sci., 18(8), 2885-2898.
  •  
  • 12. Park, Y.S., Kim, J., Kim, N., Kim, K.S., Choi, J., and Lim, K.J., 2007, Analysis of sediment yields at watershed scale using ar-ea/slope-based sediment delivery ratio in SATEEC, J. Korean Soc. Water Environ., 23(5), 650-658.
  •  
  • 13. Park, Y.S., Engel, B.A., and Harbor, J., 2014. A web-based model to estimate the impact of best management practices. WATER, 6(3), 455-471.
  •  
  • 14. Park, Y.S., Kim, J., Kim, N.W., Kim, S.J., Jeon, J.H., Engel, B.A., Jang, W., and Lim, K.J., 2010, Development of new R, C and SDR modules for the SATEEC GIS system, Comp. Geo., 36(6), 726-734.
  •  
  • 15. Ratner, B., 2009, The correlation coefficient: Its values range between +1/-1, or do they?. J. Target. Meas. Anal. Market., 17(2), 139-142.
  •  
  • 16. Risal, A., Bhattarai, R., Kum, D., Park, Y.S., Yang, J.E., and Lim, K.J., 2016, Application of Web ERosivity Module (WERM) for estimation of annual and monthly R factor in Korea. CATENA 147, 225-237.
  •  
  • 17. Runkel, R.L., Crawford, C.G., and Cohn, T.A., 2004, Load Estimator (LOADEST): A Fortran Program for Estimating Constituent Loads in Streams and Rivers; U.S. Geological Survey Techniques and Methods: Reston, VA, USA.
  •  
  • 18. Santos, J.C.N., Andrade, E.M., Medeiros, P.H.A., Palácio, H.A.Q., and Neto, J.R.A., 2017. Sediment delivery ration in a small semi-arid watershed under conditions of low connectivity. Rev. Ciênc. Agron., 48(1), 49-58.
  •  
  • 19. Skaggs, R., Youssef, M., and Chescheir, G., 2012, DRAINMOD: Model use, calibration, and validation. Trans. ASABE, 55(4), 1509-1522.
  •  
  • 20. Song, J. M., Yang, J. E., Lim, K. J., Park, Y. S., 2019. Application of KORSLE to estimate soil erosion at field scale. J. Soil Groundw. Envron., 24(5), 31-41.
  •  
  • 21. Sun, C., Shen, Z., Liu, R., Xiong, M., Ma, F., Zhang, O., Li, Y., and Chen, L., 2013, Historical trend of nitrogen and phosphorus loads from the upper Yangtze River basin and their responses to the Three Gorges Dam. Environ. Sci. Pollut. Res., 20(12), 8871-8880.
  •  
  • 22. Sung, Y.S., Jung, Y., Lim, K.J., Kim, J., Kim, K.S., Park, S.K., Shin, M., Kum, D.H., and Park, Y.S., 2016, A study to develop monthly cover management factor database for monthly soil loss estimation, J. Korean Soc. Ag. Eng., 58(6), 23-30.
  •  
  • 23. United States Department of Agriculture, 1972, National Engineering Handbook: Sediment Source, Yileds, and Delivery Ratios, Soil Conservation Service, Washington, DC., USA.
  •  
  • 24. Vanoni, V.A., 1975, Sedimentation Engineering, Manual and Report No. 54, American Society of Civil Engineers, New York, USA.
  •  
  • 25. Wang, X., Williams, J., Gassman, P., Baffaut, C., Izaurralde, R., Jeong, J., and Kiniry, J. (2012). EPIC and APEX: Model use, cali-bration, and validation. Trans. ASABE, 55(4), 1447-1462. http://dx.doi.org/10.13031/2013.42253.
  •  
  • 26. Wang, G., Jager, H.I., Baskaran, L.M., Baker, T.F., and Brandt, C.C., 2016. SWAT modeling of water quantity and quality in the Tennessee river basin: spatiotemporal calibration and validation, Hydrol, Earth Syst. Sci. Discuss., 1-33.
  •  
  • 27. Williams, J.R., 1975, Sediment-yield Prediction with Universal Equation using Runoff Energy Factor. In Present and perspective technology for predicting sediment yield and sources, 244-252. US Department of Agriculture, Washington, DC.
  •  
  • 28. Williams, J.R. and Berndt, H.D., 1977, Sediment Yield Prediction Based on Watershed Hydrology, Trans. Am. Soc. Ag. Eng., 20(6), 1100-1104.
  •  
  • 29. Williams, J.R., 1977, Sediment Yield Prediction with Universal Equation using Runoff Energy Factor. In: Present and Prospective Technology for Predicting Sediment Yield and Sources, USDA-ARS-S-40, U.S Department of Agriculture, Washington, DC., USA.
  •  
  • 30. Wischmeier, W.H. and Smith, D.D., 1965, Predicting Rainfall Erosion Losses from Cropland East of the Rocky Mountains: A guide for selection of practices for soil and water conservation Handbook No.282. U.S. Department of Agriculture.
  •  
  • 31. Wischmeier, W. H. and Smith, D.D., 1978, Predicting rainfall erosion losses: A Guide to Conservation Planning Handbook No.537. U. S. Department of Agriculture.
  •  
  • 32. Yu, N., Lee, D.J., Han, J.H., Lim, K.J., Kim, J., Kim, K.H., Kim, S., Kim, E.S., Park, Y.S., 2017, Development of ArcGIS-based model to estimate monthly potential soil loss. J. Korean Soc. Ag. Eng., 59(1), 21-30.
  •  
  • 33. Yu, N., Shin, M., Seo, J., Park, Y.S., Kim, J., 2018, A study to define USLE P factor from field survey in the four major watersheds. J. Korean Soc. Ag. Eng., 60(2), 37-44.
  •  

This Article

  • 2020; 25(3): 52-64

    Published on Sep 30, 2020

  • 10.7857/JSGE.2020.25.3.052
  • Received on Aug 31, 2020
  • Revised on Sep 11, 2020
  • Accepted on Sep 17, 2020

Correspondence to

  • Youn Shik Park
  • Rural Construction Engineering, Kongju National University, Chungcheongnam-do 32439, Korea

  • E-mail: parkyounshik@gmail.com