Advertisement

Journal of Mountain Science

, Volume 11, Issue 5, pp 1308–1325 | Cite as

Landslide hazard zonation mapping in ghat road section of Kolli hills, India

  • Siddan AnbazhaganEmail author
  • Veerappan Ramesh
Article

Abstract

Landslides are the most common natural disaster in hilly terrain which causes changes in landscape and damage to life and property. The main objective of the present study was to carry out landslide hazard zonation mapping on 1:50,000 scale along ghat road section of Kolli hills using a Landslide Hazard Evaluation Factor (LHEF) rating scheme. The landslide hazard zonation map has been prepared by overlaying the terrain evaluation maps with facet map of the study area. The terrain evaluation maps include lithology, structure, slope morphometry, relative relief, land use and land cover and hydrogeological condition. The LHEF rating scheme and the Total Estimated Hazard (TEHD) were calculated as per the Bureau of Indian Standard (BIS) guidelines (IS: 14496 (Part-2) 1998) for the purpose of preparation of Landslide Hazard Zonation (LHZ) map in mountainous terrains. The correction due to triggering factors such as seismicity, rainfall and anthropogenic activities were also incorporated with Total Estimated Hazard to get final corrected TEHD. The landslide hazard zonation map was classified as the high, moderate and low hazard zones along the ghat road section based on corrected TEHD.

Keywords

Landslide hazard zonation (LHZ) Kolli Hills Mountainous terrain LHEF rating scheme Bureau of Indian Standard (BIS) TEHD 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. AGS (2007) Guideline for landslide susceptibility, hazard and risk zoning for land use planning. Australian Geomechanics 42: 13–36.Google Scholar
  2. Ahmad M, Umrao RK, Ansari M, et al. (2013) Assessment of rockfall hazard along the road cut slopes of state highway-72, Maharashtra, India. Geomaterials 3(1):15–23. DOI: 10.4236/gm.2013.31002.CrossRefGoogle Scholar
  3. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bulletin of Engineering Geology and the Environment 58: 21–44. DOI: 10.1007/s100640050066.CrossRefGoogle Scholar
  4. Anbalagan R (1992) Landslide Hazard Evaluation and Zonation Mapping in Mountainous Terrain. Engineering Geology 32: 269–277. DOI: 10.1016/0013-7952(92)90053-2.CrossRefGoogle Scholar
  5. Anbalagan R, Chakraborty D, Kohli A (2008) Landslide hazard zonation (LHZ) mapping on meso-scale for systematic town planning in mountainous terrain. Journal of Scientific & Industrial Research 67: 486–497.Google Scholar
  6. Anbazhagan S, Neelakantan S, Arivazhagan S, et al. (2008) Developments of Fractures and Land Subsidence at Kolli Hills, Tamil Nadu. Journal of Geological Society of India 72: 348–352.Google Scholar
  7. Anderson MG, Holcombe E (2013) Community-Based Landslide Risk Reduction-Managing Disasters in Small Steps. Library of Congress Cataloging-in-Publication Data. The World Bank. Washington, DC.CrossRefGoogle Scholar
  8. Arora MK, Das AS, Gupta RP (2004) An artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas. International Journal of Remote Sensing 25(3): 559–572. DOI: 10.1080/0143116031000156819.CrossRefGoogle Scholar
  9. Ayalew L, Yamagishi H, Ugawa N (2004) Landslide susceptibility mapping using GIS based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides 1: 73–81. DOI: 10.1007/s10346-003-0006-9.CrossRefGoogle Scholar
  10. Bhandari RK (1987) Slope stability in the fragile Himalaya and strategy for development. Ninth IGS Lecture. Journal of the IGE 17(1): 1–78.Google Scholar
  11. Brabb EE (1984) Innovative approaches to landslide hazard and risk mapping. In: Proceedings of 4th International Symposium on Landslides, Totonto, Canada. Volume 1. Vancouver, Canada: BiTech Publishers. pp 307–324.Google Scholar
  12. Bureau of Indian Standard (1998) IS: 14496, Preparation of Landslide Hazard Zonation Maps in Mountainous terrains — Guidelines, Part 2 Macro-zonation, BIS, New Delhi.Google Scholar
  13. Carrara A, Cardinali M, Detti R, et al. (1991) GIS technique and statistical models in evaluating landslide hazard. Earth Surface Process and Land Forms 16: 427–445. DOI: 10.1002/esp.3290160505.CrossRefGoogle Scholar
  14. Chung C-JF, Fabbri AG (1999) Probabilistic prediction models for landslide hazard mapping. Photogrammetric Engineering and Remote Sensing 65: 1389–1399.Google Scholar
  15. Dai FC, Lee CF, Ngai YY (2002) Landslide risk assessment and management: an overview. Engineering Geology 64(1): 65–87. DOI: 10.1016/S0013-7952(01)00093-X.CrossRefGoogle Scholar
  16. Das I, Stein A, Kerle N, et al. (2011) Probabilistic landslide hazard assessment using homogeneous susceptible units (HSU) along a national highway corridor in the northern Himalayas, India. Landslides 8: 293–308. DOI: 10.1007/s10346-011-0257-9.CrossRefGoogle Scholar
  17. Devoli G, Morales A, Hoeg K (2007) Historical landslides in Nicaragua—collection and analysis of data. Landslides 4(1): 5–18. DOI: 10.1007/s10346-006-0048-x.CrossRefGoogle Scholar
  18. Dhakal AS, Amada T, Aniya, M (2000) Landslide Hazard Mapping and its Evaluation Using GIS: An Investigation of Sampling Schemes for a Grid-Cell Based Quantitative Method. Photogrammetric Engineering & Remote Sensing 66(8): 981–989.Google Scholar
  19. Francis Xavier T, Freeda Rose A, Dhivyaa M (2011) Ethnomedcinal survey of malayali tribes in Kolli hills of eastern ghats of Tamil Nadu, India. Indian Journal of Traditional Knowledge 10(3): 559–562.Google Scholar
  20. Ghosh S (2011) Knowledge Guided Empirical Prediction of Landslide Hazard. PhD thesis, University of Twente, The Netherlands. pp 13.Google Scholar
  21. GSI Report (2006) Geology and Mineral Resources of The States of India. Part IV-Tamil Nadu and Pondicherry.Google Scholar
  22. Gupta RP, Joshi BC (1990) Landslide hazard zoning using the GIs approach-A case study from the Ramganga catchment, Himalayas. Engineering Geology 28: 119–131. DOI: 10.1016/0013-7952(90)90037-2.CrossRefGoogle Scholar
  23. Guzzetti F, Carrara A, Cardinalli M, et al. (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-case study, central Italy. Geomorphology 31: 181–216. DOI: 10.1016/S0169-555X(99)00078-1.CrossRefGoogle Scholar
  24. Hansen A (1984) Landslide hazard analysis. In: Brunsden D, Prior DB (Eds.), Slope Instability. John Wiley and Sons, New York. pp 523–602.Google Scholar
  25. Kannan M, Saranathan E, Anbalagan R (2011) Macro Landslide Hazard Zonation Mapping — Case study from Bodi — BodimettuGhat section, Theni District, Tamil Nadu — India. Journal of Indian Society of Remote Sensing 39(4): 485–496. DOI: 10.1007/s12524-011-0112-4.CrossRefGoogle Scholar
  26. Kanungo DP, Arora MK, Sarkar S, et al. (2006) A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas. Engineering Geology 85: 347–366. DOI: 10.1016/j.enggeo.2006.03.004.CrossRefGoogle Scholar
  27. Kanungo DP, Arora MK, Sarkar S, et al. (2009) Landslide Susceptibility Zonation (LSZ) Mapping — A Review. Journal of South Asia Disaster Studies 2(1): 81–105.Google Scholar
  28. Kienholz H, Schneider G, Bichsel M, et al. (1984) Mapping of mountain hazards and slope stability. Mountain Research and Development 4(3): 247–266.CrossRefGoogle Scholar
  29. Kumar K, Devrani R, Kathait A, Aggarwal N (2012) Micro-Hazard Evaluation and validation of landslide in a part of North Western Garhwal Lesser Himalaya, India. International Journal of Geomatics and Geosciences 2(3): 878–891.Google Scholar
  30. Lee S (2007) Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environmental Geology 52:615–623. DOI: 10.1007/s00254-006-0491-y.CrossRefGoogle Scholar
  31. Lee S, Choi J, Min K (2002) Landslide susceptibility analysis and verification using the Bayesian probability model. Environmental Geology 43: 120–131. DOI: 10.1007/s00254-002-0616-x.CrossRefGoogle Scholar
  32. Mark RK, Ellen SD (1995) Statistical and simulation models for mapping debris-flow hazard, Geographical Information Systems in Assessing Natural Hazards In: Carrara A, Guzzetti F (eds.), Kluwer Academic Publishers, Dordrecht. pp 93–106.CrossRefGoogle Scholar
  33. McKean J, Buechel S, Gaydos L (1991) Remote sensing and landslide hazard assessment. Photogrammetric Engineering and Remote sensing 57(9):1185–1193.Google Scholar
  34. Mostyn GR, Fell R (1997) Quantitative and semiquantitative estimation of the probability of landslides in Landslide Risk Assessment In: Cruden D, Fell R (eds.), Balkema, Rotterdam, Brookfield. pp 297–315.Google Scholar
  35. National Disaster Management Guidelines — Management of landslides and snow avalanches (2009) A publication of the National Disaster Management Authority, Government of India. June 2009, New Delhi.Google Scholar
  36. Naranjo JL, van Westen CJ, Soeters R (1994) Evaluating the use of training areas in bivariate statistical landslide hazard analysis — a case study in Columbia. ITC Journal 3.Google Scholar
  37. Okimura T (1982) Situation of surficial slope failure based on the distribution of soil layer, Shin-sabo, 35: 9–18 (in Japanese with English abstract).Google Scholar
  38. Okimura T, Kawatani T (1986) Mapping of the potential surface-failure sites on granite mountain slopes. In: Gardiner V (ed.), International Geomorphology. Part I, Wiley and Sons, New York. pp 121–138.Google Scholar
  39. Pachauri AK, Pant M, (1992) Landslide hazard mapping based on geological attributes. Engineering Geology 32: 81–100. DOI: 10.1016/0013-7952(92)90020-Y.CrossRefGoogle Scholar
  40. Saranathan E, Rajesh Kumar, Kannan M, et al. (2010) Landslide Macro Hazard Zonation of the Yercaud Hill slopes ghat sections — km 10/4 to 29/6, Indian Landslides 3(1): 9–16.Google Scholar
  41. Saranathan E, Kannan M, Victor Rajamanickam G (2012) Assessment of landslide hazard zonation mapping in Kodaikanal, Tamil Nadu — India. Disaster Advances 5(4): 42–50.Google Scholar
  42. Sarkar S, Anbalagan R (2008) Landslide Hazard Zonation Mapping and Comparative Analysis of Hazard Zonation Maps. Journal of Mountain Science 5: 232–240. DOI: 10.1007/s11629-008-0172-2.CrossRefGoogle Scholar
  43. Sarkar S, Kanungo DP, Mehrotra GS (1995) Landslide hazard zonation: A case study in Garhwal Himalaya, India. Mountain Research and Development 15(4): 301–309. DOI: 10.2307/3673806.CrossRefGoogle Scholar
  44. Sharma RK, Mehta BS (2012) Macro-zonation of landslide susceptibility in Garamaura-Swarghat-Gambhar section of national highway 21, Bilaspur District, Himachal Pradesh (India). Natural Hazards 60: 671–688. DOI: 10.1007/s11069-011-0041-0.CrossRefGoogle Scholar
  45. Sharma VK (2008) Macro-zonation of Landslide Hazard in the Environs of Baira Dam Project, Chamba District, Himachal Pradesh. Journal of the Geological Society of India 71(3): 425–432.Google Scholar
  46. Singh R, Umrao RK, Singh TN (2012) Probabilistic analysis of slope in Amiyan landslide area, Uttarakhand. Geomatics, Natural Hazards and Risk 4(1): 13–29. DOI: 10.1080/19475705.2012.661796.CrossRefGoogle Scholar
  47. Skempton AW, Delory EA (1957) Stability of natural slopes in London clay. In: Proceedings of 4 & International Conference on Soil Mechanics and Foundation Engineering 4: 379–381.Google Scholar
  48. Srivastava V, Srivastava HB, Lakhera RC (2010) Fuzzy gamma based geomatic modeling for landslide hazard susceptibility in a part of Tons river valley, northwest Himalaya, India. Geomatics, Natural Hazards and Risk 1(3): 225–242. DOI: 10.1080/19475705.2010.490103.CrossRefGoogle Scholar
  49. van Westen CJ (2000) Digital geomorphological landslide hazard mapping of Alpago, Italy. International Journal of Applied Earth Observation and Geoinformation 2(1): 51–60. DOI: 10.1016/S0303-2434(00)85026-6.CrossRefGoogle Scholar
  50. Varnes DJ (1981) Slope stability problems of the circum Pacific region as related to mineral and energy resource. Energy resources of the Pacific region, In: Halbouty MT (eds.), American Association of Petroleum Geologist. Tulsa, Okla. pp 489–505.Google Scholar
  51. Varnes DJ (1984) Landslide hazard zonation: A review of principles and practice. International Association of Engineering Geology. UNESCO. Paris. pp 1–63.Google Scholar
  52. Verstappen HT (1983) Applied Geomorphology: Geomorphological Surveys for Environmental Development. Elsevier Science Publishers, Amsterdam. p 437.Google Scholar
  53. Wieczorek GF (1984) Preparing a detailed landslide-inventory map for hazard evaluation and reduction. Bulletin Association Engineering Geology 21: 337–342.Google Scholar
  54. Wang SQ, Unwin DJ (1992) Modeling landslide distribution on loess soils in China: An investigation. International Journal of Geographical Information Systems 6: 391–405. DOI: 10.1080/02693799208901922.CrossRefGoogle Scholar
  55. Yasilnacar E, Suzen ML (2006) A land-cover classification for landslide susceptibility mapping by using feature components. International Journal of Remote Sensing 27(2): 253–275. DOI: 10.1080/0143116050030042.CrossRefGoogle Scholar
  56. Yilmaz I, Marschalko M, Bednarik M (2012) Comments on “Landslide susceptibility zonation study using remote sensing and GIS technology in the Ken-Betwa River Link area, India” by Avtar R, Singh CK, Singh G, Verma RL, Mukherjee S, Sawada H in Bulletin of Engineering Geology and the Environment (doi:10.1007/s10064-011-0368-5). pp 803–804. Bulletin of Engineering Geology and the Environment 71:803–805. DOI: 10.1007/s10064-011-0406-3.CrossRefGoogle Scholar
  57. Yilmaz I (2009) A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks. Bulletin of Engineering Geology and the Environment 68:297–306. DOI: 10.1007/s10064-009-0185-2.CrossRefGoogle Scholar
  58. Yin KL, Yan TZ (1988) Statistical prediction model for slope instability of metamorphosed rocks. In: Proceedings of the 5th International Symposium on Landslides, Lausanne. pp 1269–1272.Google Scholar
  59. Zika P, Rubar J, Kudma Z (1988) Empirical approach to the evaluation of the stability on high slopes. In: Proceedings of the 5th International Symposium on Landslides, Lausanne. pp 1273–1275.Google Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Centre for Geoinformatics and Planetary Studies, Department of GeologyPeriyar UniversitySalemIndia

Personalised recommendations