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Quantification of river bank erosion by RTK GPS monitoring: case studies along the Ningxia-Inner Mongolia reaches of the Yellow River, China

  • Zhuodong Zhang
  • Anping Shu
  • Keli ZhangEmail author
  • Hongyuan Liu
  • Jing Wang
  • Jiabing Dai
Article
  • 97 Downloads

Abstract

The Ningxia-Inner Mongolia reaches of the Yellow River suffer from bank erosion problems; in order to identify the bank erosion dynamics, Real Time Kinematic Global Positioning System (RTK GPS) was applied to monitor bank morphology at three sites: Taole Cropland (TC), Maobula Shrubland (MS), and Maobula Cropland (MC). The measured data were analyzed using the Geographical Information System (GIS) to quantify the volume and amount of bank erosion. To verify the feasibility of other means quantifying bank erosion including remote sensing image interpretation and Bank-Stability and Toe-Erosion Model (BSTEM) simulation, their results were compared with the directly monitored results by RTK GPS. Results show that the bank erosion moduli at the TC, MS, and MC sites are 12,762, 6681 and 44,142 t km−1 a−1 respectively based on RTK GPS measurements from 2011 to 2014, with the bank erosion amount varying between flood and non-flood seasons and among different years. The bank erosion quantified by remote sensing interpretation and BSTEM simulation agreed well with results from RTK GPS measurement. The main factors that influence bank erosion on the upper reaches of the Yellow River include land use in the bank area, bank height, and bank curvature. More rational land use along the Yellow River and stabilization of the river bank are required for this area. This study shows that RTK GPS monitoring is reliable and useful for bank erosion research, which has not yet been fully exploited. There is potential of applying remote sensing and model simulation to determine bank erosion of large rivers, while they should be combined and supported by field investigated data.

Keywords

Quantification River bank erosion RTK GPS Ningxia-Inner Mongolia reaches Yellow River 

Notes

Acknowledgements

The authors would like to thank Hailun Dai, Jianzhi Dong, Liang Liu, Jicheng Guo, Li Lian, and Xiaoyan Liu for their assistance in field investigation and preparing figures.

Funding information

This study is a part of the Key Project (41730748) funded by the National Natural Science Foundation of China and the National Basic Research Program (2011CB403304) funded by the Ministry of Science and Technology of China.

References

  1. Bangen, S. G., Wheaton, J. M., Bouwes, N., Bouwes, B., & Jordan, C. (2014). A methodological intercomparison of topographic survey techniques for characterizing wadeable streams and rivers. Geomorphology, 206, 343–361.CrossRefGoogle Scholar
  2. Boardman, J. (2016). The value of Google EarthTM for erosion mapping. Catena, 143, 123–127.CrossRefGoogle Scholar
  3. Cao, L., Zhang, K., & Liang, Y. (2014). Factors affecting rill erosion of unpaved loess roads in China. Earth Surface Processes and Landforms, 39, 1812–1821.CrossRefGoogle Scholar
  4. Casagli, N., Rinaldi, M., Gargini, A., & Curini, A. (1999). Pore water pressure and streambank stability: results from a monitoring site on the Sieve River, Italy. Earth Surface Processes and Landforms, 24, 1095–1114.CrossRefGoogle Scholar
  5. Darby, S. E., Trieu, H. Q., Carling, P. A., Sarkkula, J., Koponen, J., Kummu, M., Conlan, I., & Leyland, J. (2010). A physically based model to predict hydraulic erosion of fine-grained riverbanks: the role of form roughness in limiting erosion. Journal of Geophysical Research, 115, F04003.CrossRefGoogle Scholar
  6. Darby, S. E., Leyland, J., Kummu, M., Rasanen, T., & Lauri, H. (2013). Decoding the drivers of bank erosion on the Mekong river: the role of the Asian monsoon, tropical storms, and snowmelt. Water Resources Research, 49, 2146–2163.CrossRefGoogle Scholar
  7. Fergusson, J. (1863). On recent changes in the Delta of the Ganges. Quarterly Journal of the Geological Society of London, 19, 321–354.CrossRefGoogle Scholar
  8. Ghosh, M. K., Kumar, L., & Langat, P. K. (2018). Mapping tidal channel dynamics in the Sundarbans, Bangladesh, between 1974 and 2017, and implications for the sustainability of the Sundarbans mangrove forest. Environmental Monitoring and Assessment, 190, 582.CrossRefGoogle Scholar
  9. Goldstein, P. S., & Magilligan, F. J. (2011). Hazard, risk and agrarian adaptations in a hyperarid watershed: El Niño floods, streambank erosion, and the cultural bounds of vulnerability in the Andean Middle Horizon. Catena, 85, 155–167.CrossRefGoogle Scholar
  10. Harden, C. P., Foster, W., Morris, C., Chartrand, K. J., & Henry, E. (2009). Rates and processes of streambank erosion in tributaries of the Little River, Tennessee. Physical Geography, 30, 1–16.CrossRefGoogle Scholar
  11. Hongthanat, N., Kovar, J. L., Thompson, M. L., Russell, J. R., & Isenhart, T. M. (2016). Phosphorus source-sink relationships of stream sediments in the Rathbun Lake watershed in southern Iowa, USA. Environmental Monitoring and Assessment, 188, 453.CrossRefGoogle Scholar
  12. 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, 191–213.CrossRefGoogle Scholar
  13. Korpela, I., Koskinen, M., Vasander, H., Holopainen, M., & Minkkinen, K. (2009). Airborne small-footprint discrete-return LiDAR data in the assessment of boreal mire surface patterns, vegetation, and habitats. Forest Ecology and Management, 258(7), 1549–1566.CrossRefGoogle Scholar
  14. Lammers, R. W., Bledsoe, B. P., & Langendoen, E. J. (2017). Uncertainty and sensitivity in a bank stability model: implications for estimating phosphorus loading. Earth Surface Processes and Landforms, 42, 612–623.CrossRefGoogle Scholar
  15. Lawler, D. M., 1989. Some new developments in erosion monitoring: 1. The potential of optoelectronic techniques. School of Geography, University of Birmingham Working Paper 41, pp. 44.Google Scholar
  16. Lawler, D. M. (1991). A new technique for the automatic monitoring of erosion and deposition rates. Water Resource Research, 27, 2125–2128.CrossRefGoogle Scholar
  17. Notebaert, B., Verstraeten, G., Govers, G., & Poesen, J. (2009). Qualitative and quantitative applications of LiDAR imagery in fluvial geomorphology. Earth Surface Processes and Landforms, 34, 217–231.CrossRefGoogle Scholar
  18. Piegay, H., Darby, S. E., Mosselman, E., & Surian, N. (2005). A review of techniques available for delimiting the erodible river corridor: a sustainable approach to managing bank erosion. River Research and Applications, 21, 773–789.CrossRefGoogle Scholar
  19. Pope, I. C., & Odhiambo, B. K. (2014). Soil erosion and sediment fluxes analysis: a watershed study of the Ni Reservoir, Spotsylvania County, VA, USA. Environmental Monitoring and Assessment, 186, 1719–1733.CrossRefGoogle Scholar
  20. Pulley, S., & Foster, I. (2017). Can channel banks be the dominant source of fine sediment in a UK river?: an example using Cs-137 to interpret sediment yield and sediment source. Earth Surface Processes and Landforms, 42, 624–634.CrossRefGoogle Scholar
  21. Sadeghian, A., de Boer, D., & Lindenschmidt, K. (2017). Sedimentation and erosion in Lake Diefenbaker, Canada: solutions for shoreline retreat monitoring. Environmental Monitoring and Assessment, 189, 507.CrossRefGoogle Scholar
  22. Simon, A., & Hupp, C. R. (1987). Geomorphic and vegetative recovery processes along modified Tennessee streams: an interdisciplinary approach to distributed fluvial systems. Forest Hydrology and Watershed Management, 167, 251–262.Google Scholar
  23. Ta, W., Jia, X., & Wang, H. (2013). Channel deposition induced by bank erosion in response to decreased flows in the sand-banked reach of the upstream Yellow River. Catena, 105, 62–68.CrossRefGoogle Scholar
  24. Thakur, P. K., Laha, C., & Aggarwal, S. P. (2012). River bank erosion hazard study of river Ganga, upstream of Farakka barrage using remote sensing and GIS. Natural Hazards, 61, 967–987.CrossRefGoogle Scholar
  25. Thoma, D. P., Gupta, S. C., Bauer, M. E., Kirchoff, 2005. Airborne laser scanning for riverbank erosion assessment. Remote Sensing of Environment 95, 493–501.Google Scholar
  26. Twidale, C. R. (1964). Erosion of an alluvial bank at Birdwood, South Australia. Zeitschrift für Geomorphologie, 8, 189–211.Google Scholar
  27. Veihe, A., Jensen, N. H., Schiotz, I. G., & Nielsen, S. L. (2011). Magnitude and processes of bank erosion at a small stream in Denmark. Hydrological Processes, 25, 1597–1613.CrossRefGoogle Scholar
  28. Vinten, A. J. A., Loades, K., Addy, S., Richards, S., Stutter, M., Cook, Y., Watson, H., Taylor, C., Abel, C., Baggaley, N., Ritchie, R., & Jeffrey, W. (2014). Assessment of the use of sediment fences for control of erosion and sediment phosphorus loss after potato harvesting on sloping land. Science of the Total Environment, 468-469, 93–103.CrossRefGoogle Scholar
  29. Wolman, M. G. (1959). Factors influencing erosion of a cohesive river bank. American Journal of Science, 257, 204–216.CrossRefGoogle Scholar
  30. Wu, Y., Zheng, Q., Zhang, Y., Liu, B., Cheng, H., & Wang, Y. (2008). Development of gullies and sediment production in the black soil region of northeastern China. Geomorphology, 101, 683–691.CrossRefGoogle Scholar
  31. 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, 99–106.CrossRefGoogle Scholar
  32. Yao, Z., Xiao, J., Ta, W., & Jia, X. (2013). Planform channel dynamics along the Ningxia Inner Mongolia reaches of the Yellow River from 1958 to 2008 using Landsat images and topographic maps. Environmental Earth Science, 70, 97–106.CrossRefGoogle Scholar
  33. Zaimes, G. N., & Schultz, R. C. (2015). Riparian land-use impacts on bank erosion and deposition of an incised stream in north-central Iowa, USA. Catena, 125, 61–73.CrossRefGoogle Scholar
  34. Zhang, C., Yang, S., Pan, X., & Zhang, J. (2011). Estimation of farmland soil wind erosion using RTK GPS measurements and the 137Cs technique: a case study in Kangbao County, Hebei province, northern China. Soil & Tillage Research, 112, 140–148.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Zhuodong Zhang
    • 1
  • Anping Shu
    • 2
  • Keli Zhang
    • 1
    Email author
  • Hongyuan Liu
    • 1
  • Jing Wang
    • 1
  • Jiabing Dai
    • 1
  1. 1.State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Geography, Faculty of Geographical ScienceBeijing Normal UniversityBeijingChina
  2. 2.School of EnvironmentBeijing Normal UniversityBeijingChina

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