Analysis and estimation of the risk of erosion by using the BSTEM model in the Kawtar River Basin

Document Type : Research Article

Authors

1 Assistant Professor of Geography Faculty of Human Sciences, University of Zanjan, Zanjan, Iran

2 MA Student of Geomorphology, Faculty of Human Sciences, University of Zanjan, Zanjan, Iran

Abstract

The rivers have been known from the past to this day as the most populous areas of the planet. The expansion of urbanization and the increase of human needs have created a balance between rivers and disruptions in the river system. One of the most important river hazards is the erosion of the river bank. It causes many economic, social and environmental damages every year. The present research is based on fieldwork and modeling of erosion of the river Bank. Therefore, it seeks to identify sensitive areas of the Bank erosion and estimate the extent of erosion. For this purpose, the NBS index and BSTEM model has been used to identify and estimate the erosion of the Kwtar River in Mahabad. A route of 3 km was selected from the Kwtar River. Morphological characteristics of five cross sections for NBS index and three intervals for BSTEM model were taken. Rosgen’s proposed seven parameters for assessing the near bank stress (NBS) index. In this research, three parameters were used for the estimation of bank erosion. Two parameters and the highest efficiency in the identification of river bank erosion was cauterized. While the parameter was somewhat contradictory to reality. Then using the BSTEM model, simulation of normal and flood flow and its consequences on the Toe Erosion and Bank Stability were studied. The BSTEM model evaluates the stability of the edges with the safety factor (FS). The main cause of the erosion of the Toe is due to hydraulic currents and the main cause of instability and fracture failure due to the geotechnical characteristics and the underlying hydraulic flow along the sides Toe Bank of the Kawtar River. As the rate increased, the amount of foot erosion and the fracture failure rate were increased.

Keywords


References (in Persian)
Moradipour, S., Zeinivand, h., Bahremand, A., Najafinejad (2014). Evaluation of the Wetspa Model performance in Simulating Soil Erosion and Suspended Sediment, Journal of Water and Soil Science, 18(69), PP: 193-204.
Motalebnejad, A., Jamali, A., Hasanzadeh, M., Dashtkiyan, k (2016), WSM model optimization in soil erosion and sediment Estimating, by Coefficient Modifying and using rainfall Simulator in Nir Watershed Yazd province, Journal of Watershed management research, 12(1), PP 175-183.
Parvizi, Yahya., Gheitury, Mohammad., Heshmati, Mosieb (2015). The capability of Hillslope version of WEPP model in the prediction of runoff and soil erosion dynamic in a different type of semiarid rangeland, Journal of range and Watershed management, 67(4), PP: 501- 655.
Sharafi, S., Yamani, m.,(2012). Geomorphology and effective factors on lateral erosion in Hor Rood River, Lorestan Province, Geography and Environmental Planning, Volume 23(1), PP: 15-32.
Talebi, A., Abbasi Jondani, S. (2016). Investigation of the Effect of Storm Occurrence Time on Prioritization of Factors Affecting on Erosion Using WEPP Model Sensitivity Analysis, Journal of Range and Watershed management, 69(1), PP: 125-140.
 
References (in English)
Bernhardt, E. S., Palmer, M. A., Allan, J. D., Alexander, G., Barnas, K., Brooks, S., Carr, J., Clayton, S., Dahm, C., Follstad-Shah, J., Galat, D., Gloss, S., Oodwin, P., Hart, D., Hassett, B., Jenkinson, R., Katz, S., Kondolf, G. M., Lake, P. S., Lave, R., Meyer, J. L., O’Donnell, T. K., Pagano, L., Powell, B., Sudduth, E., (2005), Synthesizing U. S. river restoration efforts, Science, 308, 636–637.
Bhowmik, M., Das, N., (2014), Near Bank Stress Ranking of Bank Erosion Hazard of Sonai Gang Basin, West Tripura District.
Bigham, K. A., (2016), Evaluation and application of the Bank Assessment for Non-Point Source Consequences of Sediment (BANCS) model developed to predict annual streambank erosion rates (Doctoral dissertation, Kansas State University).
Coryat, M., (2014), Analysis of the Bank Assessment for Non- point Source Consequences of Sediment (BANCS) Approach for the Prediction of Streambank Stability and Erosion along Stony Clove Creek in the Catskills. Master of Science Thesis, Syracuse University.
Fredlund. D. G., Rahardjo, H., (1993), Soil Mechanics for Unsaturated Soils, Ph.D thesis, Senior Lecturer School of Civil and Structural Engineering Nanyang Technological university.
Garcia, M., (2008), Sedimentation engineering: processes, measurements, modeling, and practice. American Society of Civil Engineers.
Ghosh, K. G., Pal, S., Mukhopadhyay, S., (2016), Validation of BANCS model for assessing stream bank erosion hazard potential (SBEHP) in Bakreshwar River of Rarh region, Eastern India. Modeling Earth Systems and Environment, 2(2), 1-15.
Gregory, k.j., (2006), The Human role in Changing River Channels, Geomorphology 79, pp172-191.
Hanson, G. J., & Simon, A., (2001), Erodibility of cohesive streambeds in the loess area of the midwestern USA. Hydrological Processes, 15(1), 23-38.
Klavon, K., Fox, G., Guertault, L., Langendoen, E., Enlow, H., Miller, R., & Khanal, A., (2017), Evaluating a process‐based model for use in streambank stabilization: insights on the Bank Stability and Toe Erosion Model (BSTEM). Earth Surface Processes and Landforms, 42(1), 191-213.
Kwan, H., Swanson, S., (2014), Prediction of Annual Streambank Erosion for Sequoia National Forest, California. JAWRA Journal of the American Water Resources Association, 50(6), 1439-1447.‏
Midgley, T. L., Fox, G. A., Heeren, D. M., (2012), Evaluation of the bank stability and toe erosion model (BSTEM) for predicting lateral retreat on composite streambanks. Geomorphology, 145, 107-114.
Ownegh, M., Nohtani, M., Raine, S., Biggs, A., Menzies, N., Freebairn, D., Tolmie, P., (2004, July), Relationship between geomorphologic units and erosion and sediment yield in Kashidar watershed, Golestan Province, Iran. In Proceedings of ISC (Vol. 13).
Partheniades, E., (1965), Erosion and deposition of cohesive soils, J. Hydraul. Eng., 91(1), 105–139.
Pollen, N. (2007), Temporal and spatial variability in root reinforcement of streambanks: Accounting for soil shear strength and moisture, Catena, 69, 197–205.
Rosgen, D. L. (2001, March). A practical method of computing streambank erosion rate. In Proceedings of the Seventh Federal Interagency Sedimentation Conference (Vol. 1)
Rosgen, D.L. (2011). Watershed assessment of river stability and sediment supply (WARSSS). Wildland Hydrology, Fort Collins, Colorado.
Sass, C. K., & Keane, T. D. (2012). Application of Rosgen’s BANCS model for NE Kansas and the development of predictive streambank erosion curves. JAWRA Journal of the American Water Resources Association, 48(4), 774-787.
Simon, A. and Darby, S. E., (2000). The nature and significance of incised river channels. In: Darby, S. E., Simon, A. (eds.), Incised river channels, John Wiley and Sons, Chichester, UK, 452 p.
Simon, A., Pollen‐Bankhead, N., & Thomas, R. E. (2011). Development and application of a deterministic bank stability and toe erosion model for stream restoration. Stream Restoration in Dynamic Fluvial Systems, 453- 474.‏
Simon, A., Pollen‐Bankhead, N., Mahacek, V., & Langendoen, E. (2009). Quantifying Reductions of Mass‐Failure Frequency and Sediment Loadings From Streambanks Using Toe Protection and Other Means: Lake Tahoe, United States. JAWRA Journal of the American Water Resources Association, 45(1), 170-186.
Yao, Z., Ta, W., Jia, X., & Xiao, J. (2011). Bank erosion and accretion along the Ningxia–Inner Mongolia reaches of the Yellow River from 1958 to 2008. Geomorphology, 127(1), 99-106.
Volume 8, Issue 21 - Serial Number 3
September 2019
Pages 41-60
  • Receive Date: 17 September 2017
  • Revise Date: 26 January 2018
  • Accept Date: 06 May 2018
  • First Publish Date: 23 September 2019
  • Publish Date: 23 September 2019