Skip to main content
Log in

An integrated landslide susceptibility model to assess landslides along linear infrastructure for environmental management

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

Landslides are a serious concern in the Western and Eastern Ghats of India. They impede the social and economic development of the region. Landslides can manifest in various forms like translational slides, rock falls, debris flow, etc. Each type of landslide has a set of characteristic conditioning factors and are required to be modelled separately. This study attempts to develop an integrated model to assess different types of landslides in a region. A stretch of hill road severely affected by different of types of landslides along the Kodaikkanal–Palani traffic corridor is selected for the study. The model developed is capable of assessing the susceptibility of the region to translational slides, rock falls and debris flow. Analytical Network Process, a heuristic model that can accommodate the interdependency of the conditioning factors is used to model landslide susceptibility. The results of the study show that the model performs satisfactorily. Control measures are also suggested for mitigating landslides in the region.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

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

    Article  Google Scholar 

  • Bagheri V, Uromeihy A, Aghda SMF (2019) A comparison among ANFIS, MLP, and RBF models for hazard analysis of rockfalls triggered by the 2004 Firooz Abad-Kojour, Iran, earthquake. Geotech Geol Eng. https://doi.org/10.1007/s10706-019-00827-y

    Article  Google Scholar 

  • Bottero M, Comino E, Riggio V (2011) Application of the analytic hierarchy process and the analytic network process for the assessment of different wastewater treatment systems. Environ Model Softw 26:1211–1224

    Article  Google Scholar 

  • Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides investigations and mitigation. Transportation Research Board, Washington, pp 36–75

    Google Scholar 

  • Dewitte O, Dille A, Depicker A, Kubwimana D, Mateso JM, Uwihirwe J, Monsieurs E (2021) Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of the north Tanganyika–Kivu rift region. Landslides 181:167–177

    Google Scholar 

  • ESRI (2011) ArcGIS desktop: release 10. Redlands. Environmental Systems Research Institute

    Google Scholar 

  • Hungr O, Serge L, Luciano P (2014) The Varnes classification of landslide types, an update. Landslides 11:167–194

    Article  Google Scholar 

  • International Society of Rock Mechanics (ISRM) (1981) Rock characterization, testing and monitoring; ISRM suggested method. Pergamon Press, Oxford

    Google Scholar 

  • Irigaray C, Fernández T, El Hamdouni R, Chacón J (2007) Evaluation and validation of landslide-susceptibility maps obtained by a GIS matrix method: examples from the Betic Cordillera (southern Spain). Nat Hazards 41:61–79

    Article  Google Scholar 

  • Keefer DK, Larsen MC (2007) Assessing landslide hazards. Science 316:1136–1137

    Article  Google Scholar 

  • Maragarint MC, Grozavu A, Patriche CV (2013) Assessing the social variability of coefficients of landslide predictors in different regions of Romania using logistic regression. Nat Hazards Earth Syst Sci 13:3339–3355

    Article  Google Scholar 

  • Merodo JAF, Pastor M, Mira P, Tonni L, Herreros MI, Gonzalez E, Tamagnini R (2004) Modelling of diffuse failure mechanisms of catastrophic landslides. Comput Methods Appl Mech Eng 193:2911–2939

    Article  Google Scholar 

  • Neaupane KM, Piantanakulchai M (2006) Analytical network model for landslide hazard zonation. Eng Geol 85:281–294

    Article  Google Scholar 

  • Plavsa D, Collins AS, Foden JF, Kropinski L, Santosh M, Chetty TRK, Clark C (2012) Delineating crustal domains in Peninsular India: age and chemistry of orthopyroxene-bearing felsic gneisses in the Madurai block. Precambr Res 198–199:77–93

    Article  Google Scholar 

  • Pourghasemi HM, Yansari ZT, Panagos P, Pradhan B (2018) Analysis and evaluation of landslide susceptibility: a review of articles published during 2005–2012 and 2013–2016. Arab J Geosci 11:193

    Article  Google Scholar 

  • Reichenbach P, Rossi M, Malamud BD, Mihir M, Guzzetti F (2018) A review of statistically based susceptibility models. Earth Sci Rev 180:60–91

    Article  Google Scholar 

  • Saaty TL (2001) Decision making with dependence and feedback: the analytic network process, 2nd edn. RWS Publications, Pittsburgh, p 370

    Google Scholar 

  • Saaty TL (2005) Theory and applications of the analytic network process. RWS Publications, Pittsburgh, p 352

    Google Scholar 

  • Saaty TL, Ozdemir MS (2008) The encyclicon: a dictionary of complex decisions using the analytic network process. RWS Publications, Pittsburgh, p 292

    Google Scholar 

  • Saaty TL, Vargas LG (2006) Decision making with the analytic network process. Springer Science, New York, p 333

    Google Scholar 

  • Shirani K, Pasandi M, Arabameri A (2018) Landslide susceptibility assessment by Dempster-Shafer and index of entropy models, Sarkhoun basin, Southwestern Iran. Nat Hazards 93(3):1379–1418

    Article  Google Scholar 

  • Sujatha ER (2020) A spatial model for the assessment of debris flow susceptibility along the Kodaikkanal–Palani traffic Corridor. Front Earth Sci 14:326–343. https://doi.org/10.1007/s11707-019-0775-7

    Article  Google Scholar 

  • Sujatha ER, Rajamanickam GV (2011) Landslide susceptibility mapping of Tevankarai Ar Sub-Watershed, Kodaikkanal Taluk, India, using weighted similar choice fuzzy model. Nat Hazards 59:401–425

    Article  Google Scholar 

  • Sujatha ER, Sridhar V (2017) Mapping debris flow susceptibility using analytical network process in Kodaikkanal Hills, Tamil Nadu (India). J Earth Syst Sci 112:116

    Article  Google Scholar 

  • Sujatha ER, Sridhar V (2021) Landslide susceptibility analysis: a logistic regression model case study in Coonoor, India. Hydrology 8:41

    Article  Google Scholar 

  • Sujatha ER, Thirukumaran V (2018) Rock slope stability assessment using geomechanical classification and its application for specific slopes along Kodaikkanal-Palani Hill Road, Western Ghats, India. J Geol Soc India 91:489–495

    Article  Google Scholar 

  • Tsangaratos P, Ilia I, Hong H, Chen W, Xu C (2017) Applying information theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China. Landslides 14:1091–1111

    Article  Google Scholar 

Download references

Acknowledgements

This study was supported by DST-SERB under fast-track scheme (SR/FTP/ETA-0062/2011). The author would like to acknowledge with thanks the financial support rendered by DST for the research. Also, the author would like to thank the Vice Chancellor, SASTRA Deemed University for providing the infrastructure and facilities to carry out this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Evangelin Ramani Sujatha.

Ethics declarations

Conflict of interest

The author declares that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sujatha, E.R. An integrated landslide susceptibility model to assess landslides along linear infrastructure for environmental management. Environ Earth Sci 80, 447 (2021). https://doi.org/10.1007/s12665-021-09747-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12665-021-09747-8

Keywords

Navigation