Method of protection of coastal lands of the Kudepsta River in case of emergencies

Cover Page

Cite item

Full Text

Abstract

Background. Long-term hydrological observations of the Kudepsta River formed the basis for a comprehensive study of the water body. Application of modern geoinformation technologies and statistical analysis method, large-scale field surveys of river channel processes allowed to justify the method of flood protection of the Kudepsta River coastal lands. As a result of the survey of the Kudepsta River channel section in the area of Kudepsta settlement and calculations of shoreline displacement, it was proposed to apply a flexible gabion structure to strengthen the right bank part of the river. This design demonstrates high efficiency of protective measures against erosion and waterlogging of the coastal strip. The estimation of economic efficiency of the method of bank protection is carried out, as a result the coefficient of economic efficiency is equal to 1.77, which is economically favorable. The payback period of construction will be 1 year. Practical experience in the implementation of such engineering solutions can be widely used in the implementation of bank protection works on mountain rivers in various subjects of the Russian Federation.

Purpose. Objective of the study to investigate the method of protection of the coastal lands of the Kudepsta River in case of emergency situations.

Materials and methods. The study area is located on the right bank of the Kudepsta River, its length is 358 meters. The site is located in the mouth of the Kudepsta River valley – it is a right bank section of the river, which is represented by a terrace with an overflow exposed ledge with a height of 2 to 5 meters. It is characterized by degradation associated with landslide processes occurring in the riverbed

Results. To prevent flooding of the adjacent territory and erosion of the banks of the Kudepsta River in the study area it is necessary to build a retaining wall 5.0 m high, 358 m long from gabion structures. Bottom reinforcement of the channel bottom is provided taking into account the possibility of its erosion and in order to protect the erosion funnel.

Conclusion. Based on the survey of the Kudepsta River channel section and shoreline displacement calculations, flexible gabion structures should be used to reinforce the right bank part of the river. This design demonstrates high efficiency of protective measures against erosion and waterlogging of the coastal strip. A method of coastal protection to prevent flooding of the adjacent territory and erosion of the banks of the Kudepsta River at the research site by means of a retaining wall 5.0 m high, 358 m long made of soft gabion structures is proposed.

About the authors

Lyudmila V. Kravchenko

Don State Technical University

Author for correspondence.
Email: lvkravchenko@donstu.ru
ORCID iD: 0000-0002-9228-3313
SPIN-code: 9684-8955
Scopus Author ID: 57204646125
ResearcherId: ABD-9790-2021

Doctor of Technical Sciences, Associate Professor, Head of the Department of Design and Technical Service of Transport and Technological Systems

 

Russian Federation, 1, Gagarin Sq., 1, Rostov-on-Don, 344000, Russian Federation

Anna E. Khadzhidi

Kuban State Agrarian University named after I.T. Tribulin

Email: dtn-khanna@yandex.ru
ORCID iD: 0000-0002-1375-9548
SPIN-code: 4502-9170
Scopus Author ID: 57194710533
ResearcherId: HGV-0040-2022

Doctor of Technical Sciences, Associate Professor, Head of the Department of Hydraulics and Agricultural Water Supply

 

Russian Federation, 13, Kalinin Str., Krasnodar, Krasnodar Krai, 350044, Russian Federation

Dmitry S. Kolmychek

Kuban State Agrarian University named after I.T. Tribulin

Email: kolmychek.d@mail.ru
ORCID iD: 0009-0004-8858-5134

Student

 

Russian Federation, 13, Kalinin Str., Krasnodar, Krasnodar Krai, 350044, Russian Federation

References

  1. Boukhanef, I., Khadzhidi, A., Kravchenko, L., et al. (2020). Modeling of solid sediment transport in mountain rivers. E3S Web of Conferences (13, Rostov-on-Don, 26–28 February 2020), 12002. DOI: https://doi.org/10.1051/e3sconf/202017512002. EDN: https://elibrary.ru/DAVNOG
  2. Issam, B., Khadzhidi, A., Kravchenko, L., et al. (2019). Flood risk management in Allala River (Algeria) using flood frequency analysis and hydraulic modeling. E3S Web of Conferences: Innovative Technologies in Environmental Science and Education, ITESE 2019 (Divnomorskoe Village, 9–14 September 2019), 135, 01093. DOI: https://doi.org/10.1051/e3sconf/201913501093. EDN: https://elibrary.ru/YNSSIZ
  3. Gerasimenko, E., Kuznetsov, E., Khadzhidi, A., et al. (2023). Study of the hydrological characteristics of the Anapka River for the prevention of emergency situations. In: XV International Scientific Conference “INTERAGROMASH 2022”: Collection of materials of the 15th International Scientific Conference. Global Precision Ag Innovation 2022 (Rostov-on-Don, 2–4 March 2022), 575-2, 263–271. Rostov-on-Don: Springer Cham. DOI: https://doi.org/10.1007/978-3-031-21219-2_27. EDN: https://elibrary.ru/FOBLAO
  4. Mitsopoulos, G., Diakakis, M., Bloutsos, A., Lekkas, E., Baltas, E., & Stamou, A. (2022). The effect of flood protection works on flood risk. Water, 14, 3936. DOI: h
  5. Munpa, P., Kittipongvises, S., Phetrak, A., Sirichokchatchawan, W., Taneepanichskul, N., Lohwacharin, J., & Polprasert, C. (2022). Climatic and hydrological factors affecting the assessment of flood hazards and resilience using modified UNDRR indicators: Ayutthaya, Thailand. Water, 14, 1603. DOI: https://doi.org/10.3390/w14101603. EDN: https://elibrary.ru/XBHFDK
  6. Diakakis, M., Deligiannakis, G., Antoniadis, Z., Melaki, M., Katsetsiadou, N. K., Andreadakis, E., Spyrou, N. I., & Gogou, M. (2020). Proposal of a flash flood impact severity scale for the classification and mapping of flash flood impacts. Journal of Hydrology, 590, 125452. DOI: https://doi.org/10.1016/j.jhydrol.2020.125452. EDN: https://elibrary.ru/PHZZSW
  7. Dung, N. B., Long, N. Q., Goyal, R., An, D. T., & Minh, D. T. (2022). The role of factors affecting flood hazard zoning using analytical hierarchy process: a review. Earth System and Environment, 6, 697–713. DOI: https://doi.org/10.1007/s41748-021-00235-4. EDN: https://elibrary.ru/RXYGLY
  8. Panagiotatou, E., & Stamou, A. (2022). Mathematical modelling of nature-based solutions for flood risk reduction under climate change conditions. In: Stamou, A., & Tsihrintzis, V. (Eds.), Proceedings of the 7th IAHR Europe Congress (Athens, Greece, 7–9 September 2022). IAHR: Athens, Greece.
  9. Sett, D., Trinh, T. P., Wasim, T., et al. (2024). Advancing understanding of the complex nature of flood risks to inform comprehensive risk management: findings from the urban region in Central Vietnam. International Journal of Disaster Risk Reduction, 110, 16 p. DOI: https://doi.org/10.1016/j.ijdrr.2024.104652. EDN: https://elibrary.ru/AIGPTE
  10. Cao, W., Zhou, Yu., et al. (2022). Increasing global urban exposure to flooding: an analysis of long-term annual dynamics. Science of the Total Environment, 817. DOI: https://doi.org/10.1016/j.scitotenv.2022.153012. EDN: https://elibrary.ru/PCIBMC
  11. Luu, C., Tran, H. X., et al. (2020). Framework of spatial flood risk assessment for a case study in Quang Binh province, Vietnam. Sustainability, 12(7). URL: https://www.mdpi.com/2071-1050/12/7/3058
  12. Wisner, B., Blaikie, P., Cannon, T., & Davies, I. (2004). At risk: natural hazards, people’s vulnerability and disasters. London & New York: Routledge. DOI: https://doi.org/10.4324/9780203714775
  13. Sparkes, E., Hagenlocher, M., Cotti, D., Banerjee, S., Masys, A. J., Rana, M. S., Shekhar, H., Sodogas, V. A., Surtiari, G. A. K., Ajila, A. V., & Werners, S. E. (2023). Understanding and characterizing complex risks with impact webs: a guidance document. Bonn: UNU-EHS. URL: https://collections.unu.edu/view/UNU:9266
  14. Menk, L., Terzi, S., Zebisch, M., Rome, E., Lückerath, D., Milde, K., & Kienberger, S. (2022). Climate change impact chains: a review of applications, challenges, and opportunities for climate risk and vulnerability assessments. Weather, Climate, and Society, 14, 619–636. DOI: https://doi.org/10.1175/WCAS-D-21-0014.1. EDN: https://elibrary.ru/NXGWUY
  15. Cotti, D., Harb, M., Hadri, A., Aboufirass, M., Rkha Chaham, K., Libertino, A., Campo, L., Trasforini, E., Krätzschmar, E., Bellert, F., & Hagenlocher, M. (2022). An integrated multi-risk assessment for floods and drought in the Marrakech-Safi region (Morocco). Frontiers in Water, 4, 1–17. DOI: https://doi.org/10.3389/frwa.2022.886648. EDN: https://elibrary.ru/TOQJFZ
  16. Wetzel, M., Schudel, L., Almoradie, A., Komi, K., Adounkpè, J., Walz, Y., & Hagenlocher, M. (2022). Assessing flood risk dynamics in data-scarce environments: experiences from combining impact chains with Bayesian network analysis in the lower Mono River Basin, Benin. Frontiers in Water, 4. DOI: https://doi.org/10.3389/frwa.202

Supplementary files

Supplementary Files
Action
1. JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).