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http://dx.doi.org/10.15681/KSWE.2017.33.6.744

Developing Suspended Sediment Delivery Ratio in the Lake Imha Watershed  

Jeon, Ji-Hong (Department of Environmental Engineering, Andong National University)
Choi, Donghyuk (Department of Environmental Engineering, Andong National University)
Kim, Jae-Kwon (Environmental Management Corporation)
Kim, Taedong (Department of Environmental Engineering, Andong National University)
Publication Information
Abstract
The sediment delivery ratio (SDR) is widely used to estimate sediment loads by multiplying soil loss through the Revised Universal Equation (RUSLE). In this study, the SDR equation was developed for the Lake Imha watershed using soil loss calculated by RUSLE and sediment loads by the calibrated Hydrological Simulation. Program Fortran (HSPF). The ratio of watershed relief and channel length ($R_f/L_{ch}$), the ratio of watershed relief and watershed length ($R_f/L_b$), curve number (CN), area (A), and channel slope ($SLP_{ch}$) demonstrated strong correlations with SDR. SDR equations were developed by a combination of subwatershed parameters by referring to the correlation analysis. The area based power functional SDR developed in this study showed significant errors at the point right after entering major tributaries, because SDR was unrealistically reduced when the watershed area increased significantly. The $SLP_{ch}$-based power functional SDR also showed extraordinary values when the channel slope was gradual. The SDR equation that showed the highest value of the coefficient of determination also presented unrealistic changes in the sediment loads within a relatively short river distance. The SDR equation $SDR=0.0003A^{0.198}R_f/L{_w}^{1.167}$ was recommended for application to the Lake Imha watershed. Using this equation, sediment loads at the outlet of the Lake Imha watershed were calculated, and the HSPF parameters related to sediment in the uncalibrated subwatersheds were determined by referring to the sediment loads calculated with the SDR equation.
Keywords
Calibration; HSPF; Lake Imha; Suspended sediment loads;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Auerswald, K., Fiener, P., Martin, W., and Elhaus, D. (2014). Use and Misuse of the K Factor Equation in Soil Erosion Modeling: An Alternative Equation for Determining USLE Nomograph Soil Erodibility Values, CATENA, 118, 220-225.   DOI
2 Bagarello, V., Ferro, V., and Pampalone, V. (2013). A New Expression of the Slope Length Factor to Apply USLE-MM at Sparacia Experimental Area (Southern Italy). CATENA, 102, 21-26.   DOI
3 Environmental Systems Research Institute (ESRI). (2002). What's New in ArcView 3.1, 3.2, and 3.3, ESRI: Redlands, CA, USA.
4 Erickson, A. J. (1997). Aids for Estimating Soil Erodibility - K Value Class and Soil Loss Tolerance, USDA-SCS, Salt Lake City, Utah, USA.
5 Guak, D. W. (2007). Selection of Soil Erosion Source Area of Dam-basins Using GIS, Master thesis, Chonbuk National University, Chonbuk, Korea . [Korean Literature]
6 Jeon, J. H., Park, C. G., Choi, D., and Kim, T. (2016). Characteristics of Suspended Sediment Loading Under Asian Summer Monsoon Climate Using the Hydrological Simulation Program-FORTRAN, Water, 9(1), 44.
7 Kettering, J., Park, J. H., Lindner, S., Lee, B., Tenhunen, J., and Kuzyakov, Y. (2012). N Fluxes in an Agricultural Catchment Under Monsoon Climate: A Budget Approach at Different Scales, Agriculture, Ecosystems & Environment, 161, 101-111.   DOI
8 Kim, Y. J., Kim, H. D., and Jeon, J. H. (2014). Characteristics of Water Budget Components in Paddy Rice Field under the Asian Monsoon Climate: Application of HSPF-Paddy Model, Water, 6, 2041-2055.   DOI
9 Kinnel, P. I. A. (2004). Sediment Delivery Ratios: A Misaligned Approach to Determining Sediment Delivery from Hillslopes, Hydrological Porcesses, 18, 3191-3194.   DOI
10 Lim, K. J., Sagong, M., Engel, B. A., Tang, Z., Choi, J., and Kim, K. S. (2005). GIS-based Sediment Assessment Tool, CATENA, 64, 61-80.   DOI
11 Lu, H., Moran, C. J., and Prosser, I. P. (2006). Modelling Sediment Delivery Ratio Over the Murray Darling Basin, Environmental Modelling & Software, 21, 1297-1308.   DOI
12 Maner, S. B. (1958). Factors Influencing Sediment Delivery Raties in the Red Hills Physiographic Area, Transactions American Geophysical Union, 39, 669-675.   DOI
13 Minstry of Environment (ME). (2014). Environmental Geographic Information Service (EGIS), http://egis.me.go.kr/ (accessed 24 Jun. 2014).
14 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, 1294-1298.   DOI
15 Mutchler, C. K. and Bowie, A. J. (1976). Effect of Land Use on Sediment Delivery Ratios, In: Proceedings of the Tird Federal Inter-Agency Sedimentation Conference, U.S. Water Resources Council, Washington, D.C., 1-11-1-12.
16 Roehl, J. E. (1962). Sediment Source Areas, Delivery Ratios and Influencing Morphological Factors, International Association of Scientific Hydrology, 59, 202-213.
17 Park, K. H. (2003). Soil Erosion Risk Assessment of the Geumho River Watershed Using GIS and RUSLE Methods, Journal of the Korean Association of Geographic Information Studies, 6, 24-36. [Korean Literature]
18 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, Computers & Geosciences, 36, 726-734.   DOI
19 Renard, K. G., Foster, G. R., Weesies, G. A., and Porter, J. P. (1991). RUSLE: Revised Universal Soil Loss Equation, Journal of Soil and Water Conservation, 6, 30-33.
20 Shabani, F., Kumar, L., and Esmaeili, A. (2014). Improvement to the Prediction of the USLE K Factor, Geomorphology, 204, 229-234.   DOI
21 Spaeth Jr, K. E., Pierson Jr, F. B., Weltz, M. A., and Blackburn, W. H. (2003). Evaluation of USLE and RUSLE estimated soil loss on rangeland, Journal of Range Management, 234-246.
22 United States Environmental Protection Agency (U. S. EPA). (1997). Compendium of Tool for Watershed Assessment and TMDL Development, EAP841-B-97-006, Office of Water (4503F), United States Environmental Protection Agency, Washington DC, USA.
23 United States Environmental Protection Agency (U. S. EPA). (2006). BASINS Technical Note 8 - Sediment Parameter and Calibration Guidance for HSPF, Office of Water 4305, Washington DC, USA.
24 Wade, J. C. and Heady, E. O. (1978). Measurement of Sediment Control Impacts on Agriculture, Water Resources Research, 14, 1-8.   DOI
25 Wischmeier, W. H. and Smith, D. D. (1978). Predicting Rainfall Erosion Losses, USDA Agricultural Research Service Handbook 537, USDA, Washington DC, USA.
26 Walling, D. W. (1983). The Sediment Delivery Problem, Journal Hydrology, 65, 209-237.   DOI
27 Williams, J. R. and Berndt, H. D. (1977). Sediment Load Computed with Universal Equation, Journal of the Hydraulics Division, 98, 2087-2098.
28 Williams, J. R. (1977). Sediment Delivery Ratios Determined with Sediment and Runoff Models, AIHS-AISH publication, 122, 168-179.
29 Zhang, W., Zhang, Z., Liu, F., Qiao, Z., and Hu, S. (2011). Estimation of the USLE Cover and Management Factor C Using Satellite Remote Sensing: A Review, Geoinformatics, 19th International Conference on, 1-5, Shanghai, China.