[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7848/ksgpc.2016.34.2.153

Thematic Map Construction of Erosion and Deposition in Rivers Using GIS-based DEM Comparison Technique

Han, Seung Hee (Dept. of Civil and Environmental Engineering, Kongju National University)

Publication Information

Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.34, no.2, 2016 , pp. 153-159 More about this Journal

Abstract

Rivers refer to either natural or artificial structures whose primary functions are flood control and water conservation. Due to recent localized torrential downpours led by climate change, large amounts of eroded soil have been carried away, forming deposits downstream, which in turn degrades the capacity to fulfill these functions. To manage rivers more effectively, we need data on riverbed erosion and deposition. However, environmental factors make it challenging to take measurements in rivers, and data errors tend to prevent researchers from grasping the current state of erosions and deposits. In this context, the aim of the present study is to provide basic data required for river management. To this end, the author made annual measurements with a Real-time Kinematic-Global Positioning System (RTK-GPS) and a total station in Pats Cabin Canyon, Oregon, United States, and also prepared thematic maps of erosion and deposition thickness as well as water depth profiles based on a GIS spatial analysis. Furthermore, the author statistically analyzed the accuracy of three dimensional (3D) measurement points and only used the data that falls within two standard deviations (i.e. ±2σ). In addition, the author determined a threshold for a DEM of Difference (DoD) by installing measurement points in the rivers and taking measurements, and then estimated erosion and deposition thickness within a confidence interval of ±0.1m. Based on the results, the author established reliable data on river depth profiles and thematic maps of erosion and deposition thickness using pre-determined work flows. It is anticipated that the riverbed data can be utilized for effective river management.

Keywords

RTK GPS; Totalstation; River Erosion; Deposition; DEM Construction; GIS-based;

Citations & Related Records

Reference

1	Antonello, A., Maria, A., and Filomena, C. (2015), Remote sensing and GIS to assess soil erosion with RUSLE3D and USPED at river basin scale in southern Italy, CATENA, Vol. 131, August 2015, pp. 174–185. DOI
2	Czarnomski, N., Wheaton, J., Grams, P.E., Hazel, J.E., Kaplinski, M., and Schmidt, J. (2011), Untangling geomorphic processes in the Grand Canyon with topographic time series from Hybrid surveys, Proceeding of American Geophysical Union, San Francisco, CA, H51I-1322.
3	George, A., Eric K., Prosper L., and Raymond A. (2013), Modeling soil erosion using Rusle and GIS Tools, International Journal of Remote Sensing & Geoscience (IJRSG) , Vol. 2, No. 4, pp. 7-17.
4	Lim, K.J., Sagong, M., Bernard, A., Zhenxu, T., Choi , J.D., and Kim, K.S. (2005), GIS-based sediment assessment tool, Catena, Vol. 64, pp. 61–80. DOI
5	Gerardo, M.E., Perillo, Eder, P.D., and Cintia, P. (2003), An inexpensive instrument for sediment erosion-accumulation rate measurement in intertidal environments, Wetlands Ecology and Management 11, pp. 195–198. DOI
6	Ishtiyaq, A. and Verma, M.K. (2013), Application of USLE model & GIS in estimation of soil erosion for Tandula reservoir, International Journal of Emerging Technology and Advanced Engineering, Vol. 3, No. 4, pp. 570-576.
7	Kasprak, A. and Wheaton, J. (2011), Morphodynamic modeling of gravel bed rivers: a Step-Length based approach, Proceeding of American Geophysical Union: San Francisco, CA. EP23C-0778.
8	Sainath, P., Shashikant I., Pragati P., and Ravindra D. (2014), River change detection and bank erosion identification using topographical and remote sensing data, International Journal of Applied Information Systems (IJAIS), Vol. 2, No. 3, pp. 1-7.
9	Susannah, E. (2013), Geomorphic monitoring of the Provo river restoration project, Intermountain Center for River Rehabilitation and Restoration, Utah State University.
10	Tony, T., Bryan, S., and Karin, B. (2009), Yellowstone river channel migration zone mapping, Custer County Conservation District Yellowstone River Conservation District Council, Final Report Revised February 20.
11	Watson, D. (1992), Contouring: A Guide to the Analysis and Display of Spatial Data, Pergamon Press, London.
12	Wheaton, J. (2008), Uncertainty in Morphological Sediment Budgeting of Rivers, Ph.D. dissertation, University of Southampton, Southampton, UK, 434p.