Skip to main content

Significance of the Spatial Resolution of DEM in Regional Slope Stability Analysis Enguri Dam, Republic of Georgia

  • Conference paper
  • First Online:
Building Knowledge for Geohazard Assessment and Management in the Caucasus and other Orogenic Regions

Abstract

Landslides are the most common natural hazard in mountainous terrains and have a high potential to disrupt human activities and damage infrastructure when they occur in populated areas. The study area encompasses a portion of the Enguri Hydroelectric Dam (and reservoir), along with the steep, clay-rich slopes directly to the east of the reservoir. A large landslide in this area would have far-reaching negative consequences, as the Enguri Hydroelectric facility provides 50% of domestic energy production and serves as an anchor for socio-economic stability in the region. In order to reduce the risks associated with these slope failures, it is essential to improve our ability to forecast future landslides and determine which slope areas should be targeted for mitigation practices. This study will view the significance of input Digital Elevation Model (DEM) spatial resolution (30 m vs. 12 m) within a physics-based numerical model for regional slope stability analysis. Unlike the previous researches that have viewed the significance of input DEM spatial resolution within statistical slope stability models, we found that there is considerable improvement in the quality of output landslide susceptibility maps when utilizing DEMs with a higher spatial resolution. At 12 m spatial resolution, there is more distinct delineation of the reservoir boundary adjacent to the base of the hazardous slope. More importantly, the trials utilizing the 12 m DEM accounted for 0.22 km2 of the new slope area that is considered “unstable” (FS < 1.25). These important details were completely missed at a spatial resolution of 30 m. The findings from this study highlight the advantages of utilizing high spatial resolution DEMs when using a physics-based numerical model for a regional slope stability analysis. Landslide susceptibility maps with higher spatial resolution reveal important slope details that could drastically improve the efficiency of landslide mitigation practices, and aid in the forecasting of potentially catastrophic slope failures.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Abashidze V, Chelidze T, Jibladze I et al (2010) Installation and utilization of automated data aquisition and transmission system of the tiltmetric network in the Enguri dam. Bull Georg Natl Acad Sci 4(3):58

    Google Scholar 

  • Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58(1):21–44

    Article  Google Scholar 

  • Bouali EH, Oommen T, Escobar-Wolf R (2016) Interferometric stacking toward geohazard identification and geotechnical asset monitoring. J Infrastruct Syst 22(2):05016001

    Article  Google Scholar 

  • Brabb EE (1984), Innovative approaches to landslide hazard and risk mapping, 4th International Symposium on Landslides, Toronto. 1:307–323

    Google Scholar 

  • Chang KT, Merghadi A, Yunus AP et al (2019) Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques. Sci Rep 9(1):1–21

    Article  Google Scholar 

  • Chau KT, Sze YL, Fung MK et al (2004) Landslide hazard analysis for Hong Kong using landslide inventory and GIS. Comput Geosci 30(4):429–443

    Article  Google Scholar 

  • Chelidze T, Matcharashvili T, Abashidze V (2013) Application of new nonlinear elasticity and nonlinear dynamics tools in real time monitoring of large engineering constructions (case of high arc Enguri dam). Disaster Adv 6(9):84–89

    Google Scholar 

  • Claessens L, Heuvelink GBM, Schoorl JM et al (2005) DEM resolution effects on shallow landslide hazard and soil redistribution modelling. Earth Surf Process Landf 30(4):461–477

    Article  Google Scholar 

  • Corominas J, van Westen C, Frattini P et al (2014) Recommendations for the quantitative analysis of landslide risk. Bull Eng Geol Environ 73(2):209–263

    Google Scholar 

  • Dietrich WE, Bellugi D, Real De Asua R (2001) Validation of shallow landslide model, SHALTAB, for forest management. Water Sci Appl 2:195–227

    Article  Google Scholar 

  • Escobar-Wolf R, Sanders J, Oommen T et al (2020) A GIS tool for infinite slope stability analysis (in review)

    Google Scholar 

  • Guzzetti F, Tonelli G (2004) Information system on hydrological and geomorphological catastrophes in Italy (SICI): a tool for managing landslide and flood hazards. Nat Hazards Earth Syst Sci 4(2):212–232

    Article  Google Scholar 

  • Guzzetti F, Cardinali M, Reichenbach P (1994) The AVI project: a bibliographical and archive inventory of landslides and floods in Italy. Environ Manag 18(4):623–633

    Article  Google Scholar 

  • Guzzetti F, Carrara A, Cardinali M et al (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31(1–4):181–216

    Article  Google Scholar 

  • Guzzetti F, Mondini AC, Carrara A, Cardinali M, Fiorucci F, Santangelo M, Chang KT (2012) Landslide inventory maps: new tools for an old problem. Earth Sci Rev 112(1–2):42–66

    Article  Google Scholar 

  • Hirano A, Welch R, Lang H (2003) Mapping from ASTER stereo image data: DEM validation and accuracy assessment. ISPRS J Photogramm Remote Sens 57(5–6):356–370

    Article  Google Scholar 

  • Huang JC, Kao SJ, Hsu ML et al (2006) Stochastic procedure to extract and to integrate landslide susceptibility maps: an example of mountainous watershed in Taiwan. Nat Hazards Earth Syst Sci 6:803–815

    Article  Google Scholar 

  • Krieger G, Moreira A, Fiedler H et al (2007) TanDEM-X: a satellite formation for high-resolution SAR interferometry. IEEE Trans Geosci Remote Sens 45(11):3317–3341

    Article  Google Scholar 

  • Manzo G, Tofani V, Segon S et al (2013) GIS techniques for regional-scale landslide susceptibility assessment: the Sicily (Italy) case study. Int J Geogr Inf Sci 27(7):1433–1452

    Article  Google Scholar 

  • Matcharashvili T, Chelidze T, Abashidze V et al (2010) Changes in dynamics of seismic processes around Enguri high dam reservoir induced by periodic variation of water level. In: Synchronization and triggering: from fracture to earthquake processes. Springer, Berlin, Heidelberg, pp 273–286

    Chapter  Google Scholar 

  • Naidu S, Sajinkumar KS, Oommen T et al (2018) Early warning system for shallow landslides using rainfall threshold and slope stability analysis. Geosci Front 9(6):1871–1882

    Article  Google Scholar 

  • Oommen T, Cobin PF, Gierke JS et al (2018) Significance of variable selection and scaling issues for probabilistic modeling of rainfall-induced landslide susceptibility. Spat Inf Res 26(1):21–31

    Article  Google Scholar 

  • Paudel U, Oguchi T, Hayakawa Y (2016) Multi-resolution landslide susceptibility analysis using a DEM and random forest. Int J Geosci 7(5):726

    Article  Google Scholar 

  • Telesca L, Matcharasvili T, Chelidze T et al (2012) Relationship between seismicity and water level in the Enguri high dam area (Georgia) using the singular spectrum analysis. Nat Hazards Earth Syst Sci 12(8):2479–2485

    Article  Google Scholar 

  • Telesca L, Matcharashvili T, Chelidze T et al (2015) Investigating the dynamical features of the time distribution of the reservoir-induced seismicity in Enguri area (Georgia). Nat Hazards 77(1):117–125

    Article  Google Scholar 

  • Tibaldi A, Alania V, Bonali FL et al (2017) Active inversion tectonics, simple shear folding and back-thrusting at Rioni Basin, Georgia. J Struct Geol 96:35–53

    Article  Google Scholar 

  • Tibaldi A, Bonali FL, Russo E et al (2018) Structural development and stress evolution of an arcuate fold-and-thrust system, southwestern Greater Caucasus, Republic of Georgia. J Asian Earth Sci 156:226–245

    Article  Google Scholar 

  • Tibaldi A, Oppizzi P, Gierke JS et al (2019) Landslides near Enguri dam (Caucasus, Georgia) and possible seismotectonic effects. Nat Hazards Earth Syst Sci 19:71

    Article  Google Scholar 

  • Van Westen CJ, Castellanos E, Kuriakose SL (2008) Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview. Eng Geol 102(3–4):112–131

    Article  Google Scholar 

  • Varazanashvili O, Tsereteli N, Bonali FL et al (2018) GeoInt: the first macroseismic intensity database for the Republic of Georgia. J Seismol 22(3):625–667

    Article  Google Scholar 

  • Vishnu CL, Sajinkumar KS, Oommen T et al (2019) Satellite-based assessment of the August 2018 flood in parts of Kerala, India. Geomat Nat Haz Risk 10(1):758–767

    Article  Google Scholar 

  • Weidner L, Oommen T, Escobar-Wolf R et al (2018) Regional-scale back-analysis using TRIGRS: an approach to advance landslide hazard modeling and prediction in sparse data regions. Landslides 15(12):2343–2356

    Article  Google Scholar 

Download references

Acknowledgments

This study has been conducted in the framework of the NATO project SfP G4934 “Georgia Hydropower Security”, of the International Lithosphere Program – Task Force II, of the European Space Agency project no. 32309 “Active tectonics and seismic hazard of southwest Caucasus by remotely sensed and seismological data.”

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas Oommen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature B.V.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nichols, I., Gierke, J.S., Oommen, T., Acciaro, M.D. (2021). Significance of the Spatial Resolution of DEM in Regional Slope Stability Analysis Enguri Dam, Republic of Georgia. In: Bonali, F.L., Pasquaré Mariotto, F., Tsereteli, N. (eds) Building Knowledge for Geohazard Assessment and Management in the Caucasus and other Orogenic Regions. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-2046-3_15

Download citation

Publish with us

Policies and ethics