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Landslide Susceptibility Mapping, Vulnerability and Risk Assessment for Development of Early Warning Systems in India

  • Sudesh Kumar Wadhawan
Chapter
Part of the Advances in Natural and Technological Hazards Research book series (NTHR, volume 50)

Abstract

Landslide or the landmass movement is a geomorphic hill slope physical process of mass-wasting resulting in downslope rolling of large mass of debris, regolith and soil under influence of gravity. It is caused by a combination of particular geo-factors that are region or territory specific. Landslides are generally triggered and activated by substantial precipitation and/or earthquake tremors and other anthropogenic interventions such as over the top cutting of slant for development of mountainous roads/streets and other excavations for civil structures, etc. The relatively young entire Himalayan hilly tract, mountainous steep slopes in sub-Himalayan landscape of North-east India, Western Ghats, the Nilgiris in Tamil Nadu and Konkan ranges are susceptible to landslides or debris flow.

In order to formulate strategies to minimize societal impacts of landslides, a systematic approach would entail preparation of Landslide Susceptibility Maps linked to landslide incidence inventory and making them available to the concerned stakeholders for necessary preparatory and mitigation measures. Geological Survey of India (GSI) being the nodal agency for landslides studies in India formally launched on February 05, 2014 the National Landslide Susceptibility Mapping (NLSM) programme which has been a geoscientific exercise on 1:50,000 scale on GIS platform in making both quantitative or qualitative estimates of spatial distribution of landslides which either exists or has the potential to occur in a given area. GSI has formulated a set of standard operating procedures that emphasize on geo-parametric data collection (as per standard and devised formats) for landslide inventory. These data sets are synthesized with relevant spatially-distributed causative thematic maps into susceptibility zonation which represents geospatial information indicating intensity and propensity of landslides. Such baseline data will ultimately lead to the collation and evaluation of landslide hazard and risk and mitigation plans. It will also help in disaster preparedness of the country and to indicate areas critical for landslide monitoring and developing early warning system (EWS). It is aimed to demarcate and facilitate prioritization of areas for further detailed studies (Meso- and Micro-scales) and help in Regional Land Use Planning and provide the scientific basis for framing the Land Use Zoning Regulations. Several lessons were learnt from Uttarakhand disaster of June 2013 in India that compelled re-evaluation of the existing methodology of conducting geosurveys of macro scale landslide susceptibility maps. Additional geofactors that also need to be considered include: effect of toe erosion by higher order streams; effect of long run-outs of the debris flows and drainage morphometry; nature and size of clastic components, etc.

It is intended to elaborate here a synthesis of various approaches and constraints on continuing research on such country-wide programmes on landslides related geohazards characterization and its implications on evolving EWS for the societal preparedness and resilience for mitigating impending disasters. However, any method of predicting landslide susceptibility needs validation which sometimes may be difficult in areas having no land sliding history. Besides, EWS need also to highlight mitigation efforts/remedial measures through geotechnical and engineering solutions as suited to Indian conditions on case to case basis, delineation of safe escape routes in the event of a landslide/debris flow/flash floods, and for optimum utilization of available resources.

Notes

Acknowledgement

Fruitful discussions with and value added assistance received from Drs. T.B. Ghoshal, M.S. Bodas, Saibal Ghosh and Pankaj Jaiswal, Geoscientists at GSI, CHQ Kolkata are gratefully acknowledged.

References

  1. 1.
    Champati Ray PK, Parvaiz I, Jayangonda-perumal R et al (2009) Analysis of seismicity induced landslides due to the October 8, 2005 earthquake in Kashmir Himalaya. Curr Sci 97(3):1742–1751Google Scholar
  2. 2.
    Ghosh S, Chakraborty I, Bhattacharya D et al (2012) Generating field-based inventory of earthquake-induced landslides in the Himalayas – an aftermath of the 18 September 2011 Sikkim earthquake. Indian J Geosci 66(1):27–38Google Scholar
  3. 3.
    Varnes DJ (1984) IAEG commission on landslides and other mass-movements. Landslide hazard zonation: a review of principles and practice. UNESCO Press, Darantiere. 61pGoogle Scholar
  4. 4.
    Schuster RL, Fleming RW (1986) Economic losses and fatalities due to landslides. Bull Assoc Eng Geol 23:11–28Google Scholar
  5. 5.
    Petley DN, Dunning SA, Rosser NJ (2005) The analysis of global landslide risk through the creation of a database of worldwide landslide fatalities. In: Hungr O, Fell R, Couture R, Eberhardt E (eds) Landslide risk management. Taylor and Francis, London, pp 367–374Google Scholar
  6. 6.
    Nadim F, Kjekstad O, Peduzzi P et al (2006) Global landslides and avalanche hotspots. Landslides 3:159–173CrossRefGoogle Scholar
  7. 7.
    Hoyois P, Scheuren JM, Below R et al (2007) Annual disaster statistical review: numbers and trends 2006. Centre for research on the epidemiology of disasters (CRED), BrusselsGoogle Scholar
  8. 8.
    Sarvothaman H, Kumar AKJ (2013) Disaster management – engineering and environmental aspects. Asiatech Pub. Inc, New Delhi, pp 73–83Google Scholar
  9. 9.
    Hemalatha T, Ramesh MV (2015) Indian landslide scenario: with special reference to landslide research methods. J Eng Geol XL(1):45–61. [Spl. Issue for Landslides: Management & Mitigation Strategies – 2015, Defence Terrain Research Laboratory, Defence Research and Development Organisation, New Delhi]Google Scholar
  10. 10.
    Wadhawan SK, Raju M, Ghosh S et al (2013) Geoscience considerations in formulation of National Landslide Disaster Management plan. Indian J Geosci 3&4:203–216Google Scholar
  11. 11.
    Wadhawan SK, Jaiswal P, Ghosh S (2013) Landslide early warning in India – prospects and constraints. Indian J Geosci 3&4:229–236Google Scholar
  12. 12.
    Wadhawan SK (2015) Implementation of landslide susceptibility mapping programme, vulnerability and risk assessment – a gateway to research and development of early warning systems in India. J Eng Geol XL(1):20–32Google Scholar
  13. 13.
    NDMA (2009) Management of landslides and snow avalanches, 2009. National Disaster Management Authority (NDMA), Government of India, New Delhi, p 144Google Scholar
  14. 14.
    Jaiswal P, van Westen CJ, Jetten V (2011) Quantitative estimation of landslide risk from rapid debris slides on natural slopes in the Nilgiri hills, India. Nat Hazards Earth Syst Sci 11:1723–1743CrossRefGoogle Scholar
  15. 15.
    Jaiswal P, Srinivasan P, Venkataraman NV (2013) A data-guided heuristic approach for landslide susceptibility mapping along a transportation corridor in the Nilgiri Hills, Nilgiri District, Tamil Nadu. Indian J Geosci 3&4:273–288Google Scholar
  16. 16.
    Jaiswal P, van Westen CJ (2012) Use of quantitative landslide hazard and risk information for local disaster risk reduction along a transportation corridor: a case study from Nilgiri district, India. Nat Hazards.  https://doi.org/10.1007/s11069-012-0404-1
  17. 17.
    Jaiswal P, van Westen CJ (2009) Estimating temporal probability for landslide initiation along transportation routes based on rainfall thresholds. Geomorphology 112(1–2):96–105CrossRefGoogle Scholar
  18. 18.
    Hemalatha T, Ramesh MV (2015) Challenges in predicting landslides with space borne SAR technology. J Eng Geol XL(1):99–106Google Scholar
  19. 19.
    Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31(1–4):181–216CrossRefGoogle Scholar
  20. 20.
    Cardinali M, Reichenbach P, Guzzetti F et al (2002) A geomorphological approach to the estimation of landslide hazards and risks in Umbria, Central Italy. Nat Hazards Earth Syst Sci 2:57–72CrossRefGoogle Scholar
  21. 21.
    van Westen CJ, van Asch TWJ, Soeters R (2006) Landslide hazard and risk zonation—why is it still so difficult? Bull Eng Geol Environ 65(5):167–184CrossRefGoogle Scholar
  22. 22.
    Ghosh S, Carranza EJM, van Westen CJ et al (2011) Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India). Geomorphology 131(1–2):35–56CrossRefGoogle Scholar
  23. 23.
    Baeza C, Corominas J (2001) Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. Earth Surf Process Landf 26:1251–1263CrossRefGoogle Scholar
  24. 24.
    Popescu ME (2002) Landslide casual factors and landslide remedial options. Keynote lecture. In: Proceedings of the 3rd international conference on landslide, slope stability and safety of infrastructures, Singapore, pp 61–81Google Scholar
  25. 25.
    Castellanos Abella EA, van Westen CJ (2008) Qualitative landslide susceptibility assessment by multicriteria analysis: a case study from San Antonio del Sur, Guantánamo, Cuba. Geomorphology 94(3–4):453–466CrossRefGoogle Scholar
  26. 26.
    Lee S, Hwang J, Park I (2013) Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea. Catena 100:15–30CrossRefGoogle Scholar
  27. 27.
    Fell R, Corominas J, Bonnard C et al (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102(3–4):85–98CrossRefGoogle Scholar
  28. 28.
    Crozier MJ (1989) Landslides: causes, consequences and environment. Routledge, LondonGoogle Scholar
  29. 29.
    Bureau of Indian Standards, BIS (1998) Preparation of landslide hazard zonation maps in mountainous terrains – guidelines. Bureau of Indian Standards (BIS) IS 14496 (Part – 2). Government of India Press, New DelhiGoogle Scholar
  30. 30.
    Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58:21–44CrossRefGoogle Scholar
  31. 31.
    Saibal G, Das R, Goswami B (2013) Developing GIS-based technique for application of knowledge and data driven methods of landslide susceptibility mapping. Indian J Geosci 3&4:249–272Google Scholar
  32. 32.
    Ghosh S, Raju M, Jaiswal P (2014) Need to launch the national landslide susceptibility mapping (NSLM) programme in India – a roadmap to create a national database on landslide. ISEG News Bull 10(2):3–4Google Scholar
  33. 33.
    UNESCO-WP/WLI (1990) A suggested method for reporting a landslide. Bull Int Assoc Eng Geol 41:5–12CrossRefGoogle Scholar
  34. 34.
    UNESCO-WP/WLI, Cruden DM (1991) A suggested method for a landslide summary. Bull Int Assoc Eng Geol 43:101–110CrossRefGoogle Scholar
  35. 35.
    UNESCO-WP/WLI (1993) Multilingual landslide glossary. Biotech Publishers Ltd, Richmond. 34 pGoogle Scholar
  36. 36.
    UNESCO-WP/WLI (1993) A suggested method for describing the activity of a landslide. Bull Int Assoc Eng Geol 47:53–57CrossRefGoogle Scholar
  37. 37.
    UNESCO-WP/WLI (1994) A suggested method for reporting landslide causes. Bull Int Assoc Eng Geol 50:71–74CrossRefGoogle Scholar
  38. 38.
    Cruden D, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides investigation and mitigation, Special report 247. Transportation Research Board, National Academy of Sciences, Washington, DC, pp 36–75Google Scholar
  39. 39.
    Sarkar NK, Megotsohe C, Theophilius PK et al (2013) Debris flow characterization causes and consequences – a study from Kohima District Nagaland, India. Indian J Geosci 3&4:303–328Google Scholar
  40. 40.
    Sharma VK, Rawat PVS (2013) Post-disaster slope stability evaluation of catastrophic events in Uttarakhand. Indian J Geosci 3&4:337–346Google Scholar
  41. 41.
    Chung C-JF, Fabbri AG (1999) Probabilistic prediction models for landslide hazard mapping. Photogramm Eng Remote Sens 65(12):1389–1399Google Scholar
  42. 42.
    Ghosh S, van Westen CJ, Carranza EJM et al (2012) Generating event-based landslide maps in a data-scarce Himalayan environment for estimating temporal and magnitude probabilities. Eng Geol 128:49–62CrossRefGoogle Scholar
  43. 43.
    Sterlacchini S, Frigerio S, Giacomelli P et al (2007) Landslide risk analysis: a multi-disciplinary methodological approach. Nat Hazards Earth Syst Sci 7:657–675CrossRefGoogle Scholar
  44. 44.
    Government of India (2011) Disaster management in India. Ministry of Home Affairs, New Delhi. 233pGoogle Scholar
  45. 45.
    Crozier MJ (2005) Multiple occurrences of regional landslide events in New Zealand – hazard management issues. Landslides 2:247–256CrossRefGoogle Scholar
  46. 46.
    Zezere JL, Oliveira SC, Garcia RAC et al (2007) Landslide risk analysis in the area North of Lisbon (Portugal) – evaluation of direct and indirect costs resulting from a motorway disruption by slope movement. Landslides 4:123–136CrossRefGoogle Scholar
  47. 47.
    Guzzetti F, Mondini AC, Cardinali M et al (2012) Landslide inventory maps: new tools for an old problem. Earth Sci Rev 112(1–2):42–66CrossRefGoogle Scholar
  48. 48.
    Guzzetti F, Reichenbach P, Cardinali M et al (2005) Probabilistic landslide hazard assessment at the basin scale. Geomorphology 72:272–299CrossRefGoogle Scholar
  49. 49.
    Soeters R, van Westen CJ (1996) Economic losses and fatalities due to landslides. Bull Assoc Eng Geol 23:11–28Google Scholar
  50. 50.
    Lee S, Pradhan B (2006) Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. J Earth Syst Sci 115(6):661–672CrossRefGoogle Scholar
  51. 51.
    Zezere JL, Reis E, Garcia R et al (2004) Integration of spatial and temporal data for definition of different landslide hazard scenarios in the area North of Lisbon (Portugal). Nat Hazards Earth Syst Sci 4:133–146CrossRefGoogle Scholar
  52. 52.
    Harp EL, Reid ME, McKenna JP et al (2009) Mapping of hazard from rainfall-triggered landslides in developing countries: examples from Honduras and Micronesia. Eng Geol 104:295–311CrossRefGoogle Scholar
  53. 53.
    Keefer DK, Wilson RC, Mark RK et al (1987) Real-time landslide warning during heavy rainfall. Science 238:921–925CrossRefGoogle Scholar
  54. 54.
    Jaiswal P, van Westen CJ, Jetten V (2010) Quantitative assessment of direct and indirect landslide risk along transportation lines in southern India. Nat Hazards Earth Syst Sci 10:1253–1267CrossRefGoogle Scholar
  55. 55.
    Geological Survey of India (2013) Proceedings of the regional workshop on landslide disaster management. 19–20 June 2013, Shimla, Himachal Pradesh, 112pGoogle Scholar
  56. 56.
    Geological Survey of India (2013) Proceedings of the regional workshop on landslide disaster management. 22–23 November 2013, Shillong, Meghalaya, 131pGoogle Scholar
  57. 57.
    Geological Survey of India, (2014) Proceedings of the regional workshop on landslide disaster management, 17–18 January 2014, Wellington, the Nilgiris, Tamil Nadu, 105pGoogle Scholar
  58. 58.
    Baum RL, Godt JW (2010) Early warning of rainfall induced shallow landslides and debris flows in the USA. Landslides 7(3):259–272CrossRefGoogle Scholar
  59. 59.
    Chan R.K.S., Pang P.L.R., Pun, W.K., (2003) Recent developments in the landslip warning system in Hongkong. In: Proceedings of the 14th Southeast Asian geotechnical conference, Balkema, Lisse, The NetherlandsGoogle Scholar
  60. 60.
    Ramesh MV, Vasudevan N (2012) The deployment of deep-earth sensor probes for detection of landslides. Landslides 9(4):457–474CrossRefGoogle Scholar
  61. 61.
    Gabet EJ, Burbank DW, Putkonen JK et al (2004) Rainfall thresholds for landsliding in the Himalayas of Nepal. Geomorphology 63(3–4):131–143CrossRefGoogle Scholar
  62. 62.
    Dahal RK, Hasegawa S (2008) Representative rainfall thresholds for landslides in the Nepal Himalaya. Geomorphology 100(3–4):429–443CrossRefGoogle Scholar
  63. 63.
    Pachauri AK (2016) Disaster management of landslides in the Himalaya. J Indian Geol Congr 8(1):27–48Google Scholar
  64. 64.
    National Disaster Management Act-2005 (2005) Ministry of Home Affairs, Government of India. New Delhi. The Gazette of India Extraordinary Part-II, Section 1[No.64]:1–29Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Sudesh Kumar Wadhawan
    • 1
  1. 1.Geological Survey of IndiaJaipurIndia

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