Geomechanics and Engineering

  • 제33권2호
  • /
  • Pages.167-174
  • /
  • 2023
  • /
  • 2005-307X(pISSN)
  • /
  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Application of UAV images for rainfall-induced slope stability analysis in urban areas

  • Dohyun Kim (Department of Civil and Environmental Engineering, Hanbat National University) ;
  • Junyoung Ko (Department of Civil Engineering, Chungnam National University) ;
  • Jaehong Kim (Department of Civil and Environmental Engineering, Dongshin University)
  • 투고 : 2022.04.04
  • 심사 : 2022.08.12
  • 발행 : 2023.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

This study evaluated slope stability through a case study to determine the disaster risks associated with increased deforestation in structures, including schools and apartments, located in urban areas adjacent to slopes. The slope behind the ○○ High School in Gwangju, Korea, collapsed owing to heavy rain in August 2018. Historically, rainwater drained well around the slope during the rainy season. However, during the collapse, a large amount of seepage water flowed out of the slope surface and a shallow failure occurred along the saturated soil layer. To analyze the cause of the collapse, the images of the upper area of the slope, which could not be directly identified, were captured using unmanned aerial vehicles (UAVs). A digital elevation model of the slope was constructed through image analysis, making it possible to calculate the rainfall flow direction and the area, width, and length of logging areas. The change in the instability of the slope over time owing to rainfall lasting ten days before the collapse was analyzed through numerical analysis. Imaging techniques based on the UAV images were found to be effective in analyzing ground disaster risk maps in urban areas. Furthermore, the analysis was found to predict the failure before its actual occurrence.

키워드

과제정보

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (Ministry of Education) (No. 2020R1I1A307511011).

참고문헌

  1. Al-Mahbashi, A.M., Elkady, T.Y. and Alrefeai, T.O. (2015), "Soil water characteristic curve and improvement in lime treated expansive soil", Geomech. Eng., 8(5), 687-696. https://doi.org/10.12989/gae.2015.8.5.687.
  2. GeoStudio (2016), version 8.16.5, User's guide, International Ltd., Calgary, Canada.
  3. Gulla, G., Peduto, D., Borrelli, L., Antronico, L. and Fornaro, G. (2017), "Geometric and kinematic characterization of landslides affecting urban areas: the Lungro case study (Calabria, Southern Italy)", Landslides, 14(1), 171-188. https://doi.org/10.1007/s10346-015-0676-0.
  4. Kim, J.H., Lim, J.S. and Park, S.W, (2014), "Coupled finite element analysis of partially saturated soil slope stability", J. Korean Geotech. Soc., 30(4), 35-45. https://doi.org/10.7843/kgs.2014.30.4.35
  5. Kim, Y.S., Kim, J.H., Lee, J.K. and Kim, S.S, (2013). "A study on soil slope stability design considering seepage analysis", J. Korean Geotech. Soc., 29(1), 135-147. https://doi.org/10.7843/kgs.2013.29.1.135
  6. Kim, T.W., Choi, Y.W. and Kim, J.H. (2021), "Analysis of rainfall seepage and slope stability by mountain slope logging", Proceedings of the Korean Geotechnical Society Spring National Conference, March 18~19, Seoul.
  7. KMA (2018), Weather Data Service, Korea Meteorological Administration, https://data.kma.go.kr.
  8. Lombardi, M., Cardarilli, M. and Raspa, G. (2017), "Spatial variability analysis of soil strength to slope stability assessment", Geomech. Eng., 12(3), 483-503. https://doi.org/10.12989/gae.2017.12.3.483.
  9. Ministry of Public Safety and Security (MPSS) (2012), "Development of precision Hazard Risk Assessment Methods and Hazard Maps for Landslides and Debris Flows Due to Heavy Rainstorms", Report from the Natural Disaster Reduction Technology Development Group (MPSS-nature2012-58).
  10. Pantelidis, L, Gravanis, E. and Gkotsis, K.P. (2020), "Stability assessment of soil slopes in three dimensions: The effect of the width of failure and of tension crack", Geomech. Eng., 22(4), 319-328. https://doi.org/10.12989/gae.2020.22.4.319.
  11. Peduto, D., Santoro, M., Aceto, L., Borrelli, L. and Gulla, G. (2021), "Full integration of geomorphological, geotechnical, A-DInSAR and damage data for detailed geometric-kinematic features of a slow-moving landslide in urban area", Landslides, 18, 807-825. https://doi.org/10.1007/s10346-020-01541-0.
  12. QGIS (2020), QGIS 3.16.3 'Hannover', https://qgis.org/ko/site/forusers/download.htmltqgis.org.
  13. Rahardjo, H., Meilani, I., Leong, E.C. and Rezaur, R.B. (2009), "Shear strength characteristics of a compacted soil under infiltration conditions". Geomech. Eng., 1(1), 35-52. https://doi.org/10.12989/gae.2009.1.1.035.
  14. Saseendran, R. and Dodagoudar, G.R. (2020), "Reliability analysis of slopes stabilised with piles using response surface method", Geomech. Eng., 21(6), 513-525. https://doi.org/10.12989/gae.2020.21.6.513.
  15. Song, Y. and Hong, S. (2022), "Infiltration characteristics and hydraulic conductivity of weathered unsaturated soils", Geomech. Eng., 22(2), 35-52. https://doi.org/10.12989/gae.2020.22.2.153.
  16. Vasuki, Y., Holden, E-J, Kovesi, P. and Micklethwaite, S. (2014), "Semi-automatic mapping of geological structures using UAV-based photogrammetric data: An image analysis approach", Comput. Geosci., 69(1), 22-32. https://doi.org/10.1016/j.cageo.2014.04.012.
  17. Xiao, Y., Kamat, V.R. and Lee, S. (2018), "Monitoring excavation slope stability using drones", Proceedings of the ASCE, Construction Research Congress 2018.
  18. Zhang, G., Tan, J., Zhang, L. and Xiang, Y. (2015), "Linear regression analysis for factors influencing displacement of high-filled embankment slopes", Geomech. Eng., 8(4), 511-521. https://doi.org/10.12989/gae.2015.8.4.511.
  19. Zhao, L., Huang, Y., Xiong, M. and Ye, G. (2020), "Reliability and risk assessment for rainfall-induced slope failure in spatially variable soils", Geomech. Eng., 22(3), 207-217. https://doi.org/10.12989/gae.2020.22.3.207.