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http://dx.doi.org/10.7857/JSGE.2020.25.3.052

Monthly Sediment Yield Estimation Based on Watershed-scale Application of ArcSATEEC with Correction Factor  

Kim, Eun Seok (Rural Construction Engineering, Kongju National University)
Lee, Hanyong (Rural Construction Engineering, Kongju National University)
Yang, Jae E (Department of Biological Environment, Kangwon National University)
Lim, Kyoung Jae (Department of Regional Infrastructure, Kangwon National University)
Park, Youn Shik (Rural Construction Engineering, Kongju National University)
Publication Information
Journal of Soil and Groundwater Environment / v.25, no.3, 2020 , pp. 52-64 More about this Journal
Abstract
The universal soil loss equation (USLE), a model for estimating the potential soil loss, has been used not only in research areas but also in establishing national policies in South Korea. Despite its wide applicability, USLE cannot adequately address the effect of seasonal variances. To overcome this limit, the ArcGIS-based Sediment Assessment Tool for Effective Erosion (ArcSATEEC) has been developed as an alternative model. Although the field-scale (< 100 ㎡) application of this model produced reliable estimation results, it is still challenging to validate accuracy of the model estimation because it only estimates potential soil losses, not the actual sediment yield. Therefore, in this study, a method for estimating actual soil loss based on the ArcSATEEC model was suggested. The model was applied to eight watersheds in South Korea to estimate sediment yields. Correction factor was introduced for each watershed, and the estimated sediment yield was compared with that of the estimated yield by LOAD ESTimator (LOADEST). Sediment yield estimation for all watersheds exhibited reliable results, and the validity of the proposed correction factor was confirmed, suggesting the correction factor needs to be considered in estimating actual soil loss.
Keywords
ArcSATEEC; sediment delivery ratio; soil loss; USLE;
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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.   DOI
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.   DOI
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 estimation 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 KORSLEbased GIS model, J. Soil Groundwater Environ., 22(6), 29-36.   DOI
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. Spatial 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 nutrient loadings over the Southeast US. Hydrol. Earth Syst. Sci., 18(8), 2885-2898.   DOI
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 area/ 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.   DOI
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.   DOI
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.   DOI
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.   DOI
17 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.
18 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.
19 Santos, J.C.N., Andrade, E.M., Medeiros, P.H.A., Palacio, H.A.Q., and Neto, J.R.A., 2017. Sediment delivery ration in a small semi-arid watershed under conditions of low connectivity. Rev. Cienc. Agron., 48(1), 49-58.
20 Skaggs, R., Youssef, M., and Chescheir, G., 2012, DRAINMOD: Model use, calibration, and validation. Trans. ASABE, 55(4), 1509-1522.   DOI
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.   DOI
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.   DOI
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, calibration, and validation. Trans. ASABE, 55(4), 1447-1462. http://dx.doi.org/10.13031/2013.42253.   DOI
26 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.
27 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.
28 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.
29 Williams, J.R. and Berndt, H.D., 1977, Sediment Yield Prediction Based on Watershed Hydrology, Trans. Am. Soc. Ag. Eng., 20(6), 1100-1104.   DOI
30 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.
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.   DOI
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.   DOI