Skip to main content

Advertisement

SpringerLink
Log in

A bank erosion risk evaluation procedure based on the analytic hierarchy process and entropy weight method

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

Bank erosion is a key process of channel evolution in alluvial rivers, which can cause severe damage to riparian levees and influence the local river regime. Since the operation of the Three Gorges Project (TGP), the downstream reach has suffered continuous channel degradation and obvious bank erosion processes, putting great pressure on flood control management. A hybrid fuzzy procedure was thus proposed to evaluate bank erosion risk by combining the analytic hierarchy process and the entropy weight method, and this procedure was applied to evaluate the bank erosion risk in the Jingjiang Reach (JR) of the Middle Yangtze River. The Lower Jingjiang Reach (LJR) is a typical meandering channel, and the bank erosion is particularly serious. The weights of different influencing factors were firstly calculated by the proposed procedure, and the results showed that the dominant factor in the category of hydraulic factors was the curvature of the main flow (with a weight of 0.269), whereas the dominant factor in the category of boundary conditions was bank protection with the maximum weight of 0.378. Secondly, the occurrence possibility of bank erosion was presented using a linear function based on the calculated weights of different influencing factors. It was found that the river bank would be at a high risk as the bank erosion possibility was greater than 0.5; otherwise, the river bank would be at a low risk. The performance of the proposed procedure was evaluated by the measured bank erosion processes at two typical sections in the JR from 2003 to 2020, and satisfying results were obtained with an accuracy of 92%.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Allmanová Z, Vlčková M, Jankovský M et al (2019) Bank erosion of the Tŕstie stream: BANCS model predictions vs. real bank erosion. J Hydrol Hydromech 67(2):121–128. https://doi.org/10.2478/johh-2018-0040

    Article  Google Scholar 

  • Al-Aomar R (2010) A combined ahp-entropy method for deriving subjective and objective criteria weights. Int J Ind Eng Theory Appl Pract 17:12–24

    Google Scholar 

  • Ashraf M, Shakir AS (2018) Prediction of river bank erosion and protection works in a reach of Chenab River Pakistan. Arab J Geosci 11(7):1–11. https://doi.org/10.1007/s12517-018-3493-7

    Article  Google Scholar 

  • Beynon M (2002) An analysis of distributions of priority values from alternative comparison scales within AHP. Eur J Oper Res 140:104–117. https://doi.org/10.1016/S0377-2217(01)00221-1

    Article  Google Scholar 

  • Constantine CR, Dunne T, Hanson GJ (2009) Examining the physical meaning of the bank erosion coefficient used in meander migration modeling. Geomorphology 106(3–4):242–252. https://doi.org/10.1016/j.geomorph.2008.11.002

    Article  Google Scholar 

  • Cancienne RM, Fox GA, Simon A (2008) Influence of seepage undercutting on the stability of root-reinforced streambanks. Earth Surf Process Landf J British Geomorphol Res Group 33(11):1769–1786. https://doi.org/10.1002/esp.1657

    Article  Google Scholar 

  • Chen T, Jin Y, Qiu X et al (2014) A hybrid fuzzy evaluation method for safety assessment of food-waste feed based on entropy and the analytic hierarchy process methods. Expert Syst Appl 41(16):7328–7337. https://doi.org/10.1016/j.eswa.2014.06.006

    Article  Google Scholar 

  • Changjiang Water Resources Commission (CWRC) (2014) Bank erosion surveys and investigations in key reaches of the Middle Yangzte River, Scientific Report of CWRC. Hydrology Bureau of the CWRC: Wuhan (in Chinese)

  • Chen P, Wang J (2009) Application of a fuzzy AHP method to risk assessment of international construction projects. International conference on electronic commerce and business intelligence. IEEE, 459–462. https://doi.org/10.1109/ECBI.2009.14

  • Cao GJ, Wang J (2015) Measurements and studies of hydrological and sediment data in the Three Gorges Project. Chinese. Science Press, Beijing. (in Chinese)

  • Duró G, Crosato A, Kleinhans MG, et al (2020) Bank erosion processes in regulated navigable rivers. Journal of Geophysical Research: Earth Surface, 125(7): e2019JF005441. https://doi.org/10.1029/2019JF005441

  • Deng SS, Xia JQ, Zhou MR et al (2019) Coupled modeling of bed deformation and bank erosion in the Jingjiang Reach of the middle Yangtze River. J Hydrol 568:221–233. https://doi.org/10.1016/j.jhydrol.2018.10.065

    Article  Google Scholar 

  • Deng SS, Xia JQ, Liu X et al (2022) Contributions of different sources to sediment transport in the Middle Yangtze River under intensive channel degradation. CATENA 217:106511

    Article  Google Scholar 

  • Dapporto S, Rinaldi M, Casagli N (2001) Failure mechanisms and pore water pressure conditions: analysis of a riverbank along the Arno River (Central Italy). Eng Geol 61(4):221–242. https://doi.org/10.1016/S0013-7952(01)00026-6

    Article  Google Scholar 

  • Ertay T, Kahraman C, Kaya I (2013) Evaluation of renewable energy alternatives using MACBETH and fuzzy AHP multicriteria methods: the case of Turkey. Technol Econ Dev Econ 19(1):38–62. https://doi.org/10.3846/20294913.2012.762950

    Article  Google Scholar 

  • Fox GA, Heeren DM, Wilson GV et al (2010) Numerically predicting seepage gradient forces and erosion: sensitivity to soil hydraulic properties. J Hydrol 389(3–4):354–362. https://doi.org/10.1016/j.jhydrol.2010.06.015

    Article  Google Scholar 

  • Fouladgar MM, Yazdani-Chamzini A, Lashgari A et al (2012) Maintenance strategy selection using AHP and COPRAS under fuzzy environment. Int J Strateg Prop Manag 16(1):85–104. https://doi.org/10.3846/1648715X.2012.666657

    Article  Google Scholar 

  • Flach PA (2003) The geometry of ROC space: understanding machine learning metrics through ROC isometrics. Proceedings of the 20th international conference on machine learning (ICML-03), 194–201

  • Goodson JM, Gurnell AM, Angold PG et al (2002) Riparian seed banks along the lower River Dove, UK: their structure and ecological implications. Geomorphology 47(1):45–60. https://doi.org/10.1016/S0169-555X(02)00140-X

    Article  Google Scholar 

  • Hooke J (1980) Magnitude and distribution of rate of river bank erosion. Earth Surf Process and Landforms 5:143–157. https://doi.org/10.1002/esp.3760050205

    Article  Google Scholar 

  • Hu Y, Li W, Wang Q et al (2019) Evaluation of water inrush risk from coal seam floors with an AHP–EWM algorithm and GIS. Environ Earth Sci 8(10):1–15

    Google Scholar 

  • Jia D, Qin J, Zhang X et al (2020) A new semi-analytical method to calculate the fluvial erosion rate of non-cohesive riverbanks. Water Resour 47(4):550–559. https://doi.org/10.1134/S0097807820040053

    Article  Google Scholar 

  • Jenifer MA, Jha MK (2017) Comparison of analytic hierarchy process, catastrophe and entropy techniques for evaluating groundwater prospect of hard-rock aquifer systems. J Hydrol 548:605–624

    Article  Google Scholar 

  • Keast D, Ellison JC (2022) Evaluation of bankfull stage from plotted channel geometries. J Hydrol Region Stud 41:101052

    Article  Google Scholar 

  • Kwan H, Swanson S (2014) Prediction of annual streambank erosion for Sequoia National Forest, California. JAWRA J Am Water Resour Assoc 50(6):1439–1447. https://doi.org/10.1111/jawr.12200

    Article  Google Scholar 

  • Lindow N, Fox GA, Evans RO (2009) Seepage erosion in layered stream bank material. Earth Surf Proc Land 24:1693–1701. https://doi.org/10.1002/esp.1874

    Article  Google Scholar 

  • Lin FF, Xia JQ, Zhou MR et al (2019) Morphodynamic evolution in a meandering reach of the Middle Yangtze River under upstream and downstream controls. Prog Phys Geog Earth Environ 43(4):544–560. https://doi.org/10.1177/0309133319843881

    Article  Google Scholar 

  • Liu Y, Zhang D, Wang C (2020) Evaluation of mine water quality based on Bayesian theory MODEL of AHP-EWM combined weighting method. Global J Earth Sci Eng 7:54–62

    Article  Google Scholar 

  • Maynord ST, Biedenham DS, Fischenich CJ, et al (2008) Boat‐wave‐induced bank erosion on the Kenai River, Alaska (No. ERDC-TR-08–5). Engineer Research and Development Center Vicksburg Ms Coastal and Hydraulics Lab

  • Nardi L, Rinaldi M, Solari L (2012) An experimental investigation on mass failures occurring in a riverbank composed of sandy gravel. Geomorphology 163:56–69. https://doi.org/10.1016/j.geomorph.2011.08.006

    Article  Google Scholar 

  • Nanson GC, Hickin EJ (1986) A statistical analysis of bank erosion and channel migration in western Canada. Geol Soc Am Bull 97(4):497–504. https://doi.org/10.1130/0016-7606(1986)97%3c497:ASAOBE%3e2.0.CO;2

    Article  Google Scholar 

  • Partheniades E (1965) Erosion and deposition of cohesive soils. J Hydraul Div 91:105–139

    Article  Google Scholar 

  • Peng J, Zhang J (2022) Urban flooding risk assessment based on GIS-game theory combination weight: a case study of Zhengzhou City. Int J Disaster Risk Reduct :103080

  • Pollen N, Simon A (2005) Estimating the mechanical effects of riparian vegetation on stream bank stability using a fiber bundle model. Water Resour Res 41(7):226–244. https://doi.org/10.1029/2004WR003801

    Article  Google Scholar 

  • Pizzuto J (2009) An empirical model of event scale cohesive bank profile evolution. Earth Surf Proc Land 34(9):1234–1244. https://doi.org/10.1002/esp.1808

    Article  Google Scholar 

  • Pourghasemi HR, Pradhan B, Gokceoglu C (2012) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed Iran. Natural Hazards 63(2):965–996. https://doi.org/10.1007/s11069-012-0217-2

    Article  Google Scholar 

  • Rinaldi M, Darby SE (2007) 9 modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations. Dev Earth Surf Process 11:213–239

    Article  Google Scholar 

  • Rousseau YY, Van de Wiel MJ, Biron PM (2017) Simulating bank erosion over an extended natural sinuous river reach using a universal slope stability algorithm coupled with a morphodynamic model. Geomorphology 295:690–704. https://doi.org/10.1016/j.geomorph.2017.08.008

    Article  Google Scholar 

  • Rinaldi M, Casagli N (1999) Stability of streambanks formed in partially saturated soils and effects of negative pore water pressures: the Sieve River (Italy). Geomorphology 26:253–277. https://doi.org/10.1016/S0169-555X(98)00069-5

    Article  Google Scholar 

  • Rosgen DL (2001) A practical method of computing streambank erosion rate. Proceedings of the Seventh Federal Interagency Sedimentation Conference

  • Sass CK, Keane TD (2012) Application of Rosgen’s BANCS model for NE Kansas and the development of Predictive Streambank Erosion Curves 1. JAWRA J Am Water Res Assoc 48(4):774–787. https://doi.org/10.1111/j.1752-1688.2012.00644.x

    Article  Google Scholar 

  • Shi Q, Wang H, Lu H (2020) Research and Application of AHP-EWM-based Comprehensive Evaluation of Data Quality[C]//Proceedings of the 4th International Conference on Computer Science and Application Engineering. 1–5

  • Shih SS, Yang SC, Lee HY et al (2011) Development of a salinity-secondary flow-approach model to predict mangrove spreading. Ecol Eng 37(8):1174–1183

    Article  Google Scholar 

  • Sidorchuk A (1999) Dynamic and static models of gully erosion. CATENA 37(3–4):401–414

    Article  Google Scholar 

  • Simon A, Pollen N, Mahacek V, Langemdoen E (2009) Quantifying reduction of mass-failure frequency and sediment loading from stream banks using toe protection and other means: Lake Tahoe, United States

  • Simon A, Curini A, Darby SE et al (2000) Bank and near-bank processes in an incised channel. Geomorphology 35(3–4):193–217. https://doi.org/10.1016/S0169-555X(00)00036-2

    Article  Google Scholar 

  • Thorne CR, Tovey NK (1981) Stability of composite river banks. Earth Surf Proc Land 6(5):469–484. https://doi.org/10.1002/esp.3290060507

    Article  Google Scholar 

  • Tang JW, Deng JY, You XY et al (2012) Prediction method of bank erosion in the middle and lower reaches of the Yangtze River. J Sichuan Univ (engineering Science Edition) 44(1):7581 (in Chinese)

    Google Scholar 

  • Xi H, Li Z, Han J et al (2022) Evaluating the capability of municipal solid waste separation in China based on AHP-EWM and BP neural network. Waste Manage 139:208–216

    Article  Google Scholar 

  • Xia JQ, Zong QL, Deng SS et al (2014) Seasonal variations in composite riverbank stability in the Lower Jingjiang Reach, China. J Hydrol 519:3664–3673. https://doi.org/10.1016/j.jhydrol.2014.10.061

    Article  Google Scholar 

  • Xia JQ, Deng SQ, Lu JY et al (2016) Dynamic channel adjustments in the Jingjiang Reach of the Middle Yangtze River. Sci Rep 6(1):1–10. https://doi.org/10.1038/srep22802

    Article  Google Scholar 

  • Xia JQ, Lin FF, Deng SS et al (2017) Bank retreat processes and characteristics in the Jingjiang Reach after the Three Gorges Project operation. Adv Water Sci 28(4):543–552 (in Chinese)

    Google Scholar 

  • Xu H, Ma C, Lian J et al (2018) Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China. J Hydrol 563:975–986

    Article  Google Scholar 

  • Yu WC, Lu JY (2008) Bank erosion and revetment of the Yangtze River. China Water & Power Press, Beijing (in Chinese)

    Google Scholar 

  • Zhang R J (1998) River sediment dynamics. China Water and Power Press: 69. (in Chinese)

  • Zong QL, Xia JQ, Xu QX et al (2014) Soil composition analysis and slope stability calculation for riverbanks in the upper Jingjiang Reach. J Hydroelec Eng 33(2):168–178 (in Chinese)

    Google Scholar 

Download references

Funding

This work was supported mainly by the National Natural Science Foundation of China (Grant Nos. 51725902, U2040215, 52009095, 52109098, U2240206) and Natural Science Foundation of Hubei Province of China (Grant Nos. 2021CFA029), and it was also supported partly by the China Postdoctoral Science Foundation (Grant Nos. BX2021228 and 2020M682476).

Author information

Authors and Affiliations

  1. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China

    Qihang Sun, Junqiang Xia, Shanshan Deng & Meirong Zhou

Authors
  1. Qihang Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Junqiang Xia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shanshan Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Meirong Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Junqiang Xia.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Responsible Editor: Broder J. Merkel

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, Q., Xia, J., Deng, S. et al. A bank erosion risk evaluation procedure based on the analytic hierarchy process and entropy weight method. Arab J Geosci 15, 1772 (2022). https://doi.org/10.1007/s12517-022-11065-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-022-11065-7

Keywords

Search

Navigation