Browse > Article
http://dx.doi.org/10.5322/JESI.2016.25.10.1433

Assessment of Sediment Yield according to Observed Dataset  

Lee, Sangeun (Department of Energy and Mineral Resources Engineering, Kangwon National University)
Kang, Sanghyeok (Department of Civil Engineering, Kangwon National University)
Publication Information
Journal of Environmental Science International / v.25, no.10, 2016 , pp. 1433-1444 More about this Journal
Abstract
South Korea is a maritime nation, surrounded by water on three sides; hence, it is important to preserve in a sustainable manner. Most areas, especially those bordering the East Sea, have been suffering from severe coastal erosion. Information on the sediment yield of a river basin is an important requirement for water resources development and management. In Korea, data on suspended sediment yield are limited owing to a lack of logistic support for systematic sediment sampling activities. This paper presents an integrated approach to estimate the sediment yield for ungauged coastal basins by using a soil erosion model and a sediment delivery rate model in a geographic information system (GIS)-based platform. For applying the sediment yield model, a basin specific parameter was validated on the basis of field data, that, ranging from 0.6 to 1.2 for the 19 gauging stations. The calculated specific sediment yield ranged from 17 to $181t/km^2.yr$ in the various basin sizes of Korea. We obtained reasonable sediment yield values when comparing the measured data trends around the world with those in Korean basins.
Keywords
Monsoon region; Sediment delivery rate; Sediment yield; Modeling;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Yekta, A. H. A., Marsooli, R., Soltana, F., 2010, Suspended sediment estimation of Ekbatan reservoir sub basin using adaptive neuro-fuzzy inference systems (ANFIS), artificial neural networks (ANN), and sediment rating curves (SRC), River Flow 2010, Dittrich, Koll, Aberle & Geisenhainer (eds), 807-813.
2 Rosati, J. D., 2005, Concepts in sediment budgets, J. of Coastal Res., 21(2), 307-322.   DOI
3 Korea Institute of Construction Technology (KICT), 1992, The development of selection standard for calculation method of unit sediment yield in river, 89-WR-113 Research Paper 1992 (in Korean).
4 Kothyari, U. C., Jain, M. K., 1997, Sediment yield estimation using GIS, Hydrological Sci. J., 46(6), 833-843.
5 Kurt, S., Karaburun, A., Demirci, A., 2010, Coastline change in Istanbul between 1987 and 2007, Scientific Res. and Essays, 5(19), 3009-3017.
6 Lee, G. S., Lee, K. H., 2006, Scaling effect for estimating soil loss in the RUSLE model using remotely sensed geospatial data in Korea, Hydrol Earth Syst. Sci. Discuss., 3,135 157.   DOI
7 Lee, S. E., Kang, S. H., 2013, Estimating the GIS-based soil loss and sediment delivery ratio to the sea for four major basins in South Korea, Wat. Sci. & Tech., 68(1), 124-133.   DOI
8 Lee, S. E., Kang, S. H., 2014, Geographic information system-coupling sediment delivery distribution modeling based on observed data, Wat. Sci. & Tech., 70(3), 495-501.   DOI
9 Lu, X. X., Siew, R. Y., 2005, Water discharge and sediment flux changes in the lower Mekong River, Hydrol. Earth Sys. Sci. Discuss., 2, 2287-2325.   DOI
10 Milliman, J. D., Syvitski, P. M., 1992, Geomorphic/tectonic control of sediment discharge to the ocean: The importance of small mountainous rivers, The J. of Geol., 100, 525-544.   DOI
11 Ministry of Land, Infrastructure and Transport, 2015, Water Management Information System (WAMIS), Korea (in Korean).
12 Mutua, B. M., Klik, A., 2006, Estimating spatial sediment delivery ratio on a large rural catchment, J. of Spatial Hydrol., 6(1), 64-80.
13 Pal, B., Samanta, S., Pal, D. K., 2012, Morphometric and hydrological analysis and mapping for Watut watershed using Remote Sensing and GIS techniques, Int. J. of Adv. in Engi. & Tech., 2(1), 357-368.
14 National Academy of Agricultural Science (NAAS), 2014, Soil map, Korea, 2014 (In Korean).
15 Fernandez, C., Wu, J. Q., McCool, D. K., StOckle, C. O., 2003, Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD, Soil and Water Conser. Soci., 58(3), 128-136.
16 Ferro, V., Porto, P., 2000, Sediment delivery distri-bution (SEDD) model, J. of Hydrologic Engi., 5(4), 411-422.   DOI
17 Fu, G., Chen, S., McCool, D. K., 2006, Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS, Soil & Tillage Res., 85, 38-49.   DOI
18 Kamaludin, H., Lihan, T., Ali Rahman, Z., Mustapha, M. A., Idris, W. M., Rahim, S. A., 2013, Integration of remote sensing, RUSLE and GIS to model potential soil loss and sediment yield (SY), Hydro Earth Sys. Sci Discuss., 10, 4567-4596.   DOI
19 Kinnell, P. I. A., 2008, Sediment delivery from hillslopes and the universal soil loss equation: Some perceptions and misconceptions, Hydrological Proc., 22, 3168-3175.   DOI
20 Neibling, W. H., Foster, G. R., 1997, Estimating deposition and sediment yield from overland flow processes, International Symposium on Urban Hydrology, Hydraulics, and Sediment Control Procs. Univ. of Kentucky, Lexington.
21 Phillips, J. D., 1995, Decoupling of sediment sources in large river basins, effects of scale on interpretation and management of sediment and water quality, Proceedings a Boulder Symposium, July, IAHS publ. no. 226, 11-16.
22 Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., Yoder, D. C., 1987, Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE).
23 US Department of Agriculture: Washington, DC, USA, 1997, Agriculture Handbook, 703.
24 Han River Flood Control Office, Water Resources Management Information System, 2016, http://www.wamis.go.kr/
25 Walling, D. E., 1983, The sediment delivery problem, J. Hydrol., 65, 209-237.   DOI
26 Wischmeier, W. H., Johnson, C. B., Cross, B. V., 1971, A soil erodibility nomograph for farmland and construction sites, J. Soil Water Conser., 26, 189-193.
27 Wischmeier, W. H., Smith, D. D., 1958, Rainfall energy and its relation to soil loss, Trans Am Geophys Union, 39(2), 285-291.   DOI
28 Wischmeier, W. H., Smith, D. D., 1978, Predicting Rainfall Erosion Losses, USDA Ag. Res. Serv. Handbook, 537, US Department of Agriculture: Washington, DC, USA.