Skip to main content

Advertisement

SpringerLink
Log in

Comparative analysis in GIS-based landslide hazard zonation—a case study in Bodi-Bodimettu Ghat section, Theni District, Tamil Nadu, India

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

The aim of this research article is to assess and compare the reliability of spatial-based different landslide hazard zonation mapping methods in the Bodi-Bodimettu Ghat section, Theni District as a case study. In favor of this intention, the three methods like the Bureau of Indian Standard (BIS), multi-criteria analysis (MCA), and frequency ratio (FR) model have been applied to find out three different landslide hazard zonation maps. The results of the three methods were compared using parameters such as landslide density, success rate curve, and spatially agreed area. Approximately the same variation is seen in the final results of BIS in comparison to the other methods, namely MCA and FR. But if we go actually into the detail, low hazard and moderate hazard seem to merge to indicate one single zone made as moderate hazard. Moreover, the nature of weightages used in different techniques may have the same influence on the outcome of the result.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

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

Similar content being viewed by others

References

  • Anbalagan R (1992) Landslide hazard evaluation and zonation mapping in mountainous terrain. Eng Geol 32:269–277

    Article  Google Scholar 

  • Anbalagan R (1993) Environmental hazards of unplanned urbanization of mountainous terrains: a case study of a Himalayan town. Q J Eng Geol 26:179–184

    Article  Google Scholar 

  • Anon (1955) Manual of SPANS Explorer v.7.1 PCI Geomatics Canada.

  • Anon (1998) Bureau of Indian Standard, Preparation of Landslide Hazard Zonation maps in mountainous terrains—guidelines, part 2. Macro-zonation, New Delhi

  • Anon (2006) Manual of national land use and land cover mapping using multi-temporal satellite data. National Remote Sensing Centre, Hyderabad

    Google Scholar 

  • Baeza C, Corominas J (2001) Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. Earth Surf Process Landf 26:251–1263

    Article  Google Scholar 

  • Chung CF, Fabbri AG (1999) Probabilistic prediction models for landslide hazard mapping. Photogramm Eng Remote Sens 65(12):1389–1399

    Google Scholar 

  • Cruden DM, Varnes DJ (1996). Landslide types and processes. In: Turner A. K., Schuster R. L. (eds) Landslides investigation and mitigation. National Research Council, Transportation Research Board, Special Report, 247, pp. 36–75

  • Gupta P, Anbalagan R (1995) Landslide hazard zonation, mapping of Tehri-Pratapnagar area, Garhwal Himalayas. J of Rock Mech and Tunn Tech India 1(1):41–58

    Google Scholar 

  • Gupta RP, Kanungo DP, Arora MK, Sarkar S (2008) Approaches for comparative evaluation of raster GIS-based landslide susceptibility zonation map. Int J Appl Earth Obs Geoinformation 10:330–341

    Article  Google Scholar 

  • Kannan M, Saranathan E, Anbazhagan R (2011a) Macro landslide hazard zonation mapping—case study from Bodi-Bodimettu Ghat section, Theni District, Tamil Nadu-India. J Indian Soc Remote Sens 39(4):485–496

    Article  Google Scholar 

  • Kannan M, Saranathan E, Anbazhagan R (2011b) Evaluation of vulnerable zones in Bodi-Bodimettu Ghat section, Bodinayakkanur Taluk, Theni District, Tamil Nadu. Indian Landslides 4(1):39–44

    Google Scholar 

  • Kannan M, Saranathan E, Anbazhagan R (2012) Landslide vulnerability mapping using frequency ratio model: a GIS approach in Bodi-Bodimettu Ghat section, Theni District, Tamil Nadu, India. Arab J Geosci. doi:10.1007/s12517-012-0587-5, Online First™, 13 May 2012

    Google Scholar 

  • Kanungo DP, Arora MK, Gupta RP, and Sarkar S (2005) GIS-based landslide hazard zonation using neuro-fuzzy weighting. Proc. 2nd Ind. Int. Conf. on Artificial Intelligence (IICAI-05), Pune, pp. 1222–1237

  • Kanungo DP, Arora MK, Sarkar S, Gupta RP (2006) A comparative study of conventional ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas. Eng Geol 85:347–366

    Article  Google Scholar 

  • Kayastha P, Dhital MR, De Smedt F (2013) Evaluation and comparison of GIS based landslide susceptibility mapping procedures in Kulekhani watershed, Nepal. J Geol Soc India 81:219–231

    Article  Google Scholar 

  • Lee S (2004) Application of likelihood ratio and logistic regression models to landslide susceptibility mapping using GIS. Environ Manag 34(2):223–232

    Article  Google Scholar 

  • Lee S, Pradhan B (2006) Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. Earth Syst Sci 115(6):661–672

    Article  Google Scholar 

  • Lee S, Pradhan B (2007) Landslide hazard mapping at Selangor, Malaysia frequency ratio and logistic regression models. Landslides 4:33–41

    Article  Google Scholar 

  • Lee S, Sambath T (2006) Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ Geol 50:847–855

    Article  Google Scholar 

  • Lee S, Ryu JH, Kim IS (2007) Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea. Landslides 4(4):327–338

    Article  Google Scholar 

  • Nefeslioglu HA, Gokceoglu C, Sonmez H (2008) An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Eng Geol 97:171–171

    Article  Google Scholar 

  • Pradhan B, Pirasteh S (2010) Comparison between prediction capabilities of neural network and fuzzy logic techniques for landslide susceptibility mapping. Disaster Adv 3(3):26–34

    Google Scholar 

  • Pradhan B, Sezer E, Gokceoglu C, and Buchroithner MF (2010). Landslide susceptibility mapping by neuro-fuzzy approach in a landslide prone area (Cameron Highland, Malaysia). IEEE Transactions on Geoscience & Remote Sensing, Vol. 48, No. 10 (article on-line first available) doi:10.1109/TGRS.2010.2050328

  • Ramani Sujatha E, Rajamanickam V, Kumaravel P, Saranathan E (2011) Landslide susceptibility analysis using probabilistic likelihood ratio model—a geospatial-based study. Arab J Geosci. doi:10.1007/s12517-011-0356-x

    Google Scholar 

  • Saranathan E, Rajesh Kumar V, Kannan M, Anbazhagan R (2010) Landslide macro hazard zonation of the Yercaud hill slopes Ghats section–km 10/4 to 29/6. Indian Landslides 3(1):9–16

    Google Scholar 

  • Sarkar S, Kanungo DP (2004) An integrated approach for landslide susceptibility mapping using remote sensing and GIS. Photogramm Eng Remote Sens 70(5):617–625

    Article  Google Scholar 

  • Suzen ML, Doyuran V (2004) A comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate. Environ Geol 45:665–679

    Article  Google Scholar 

  • Thornes JB, Ayala IA (1998) Modelling mass failure in a Mediterranean mountain environment: climatic, geological, topographical and erosional controls. Geomorphology 24:87–100

    Article  Google Scholar 

  • Van westen CJ, Rengers N, Soeters R (2003) Use of geomorphological information in indirect landslide susceptibility assessment. Nat Hazards 30:399–419

    Article  Google Scholar 

  • Varnes DJ (1978) Slope movement types and process. In: Landslides, analysis and control. Transportation Research Board Special Report, Vol. 176, pp. 11–33

  • Yesilnacar E, Topal T (2005) Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey). Eng Geol 79:251–266

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Civil Engineering, SASTRA University, Thanjavur, 613 401, Tamil Nadu, India

    M. Kannan & E. Saranathan

  2. Department of Earth Science, Indian Institute of Technology Roorkee, Roorkee, 247 667, India

    R. Anbalagan

Authors
  1. M. Kannan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. E. Saranathan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. Anbalagan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Kannan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kannan, M., Saranathan, E. & Anbalagan, R. Comparative analysis in GIS-based landslide hazard zonation—a case study in Bodi-Bodimettu Ghat section, Theni District, Tamil Nadu, India. Arab J Geosci 8, 691–699 (2015). https://doi.org/10.1007/s12517-013-1259-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12517-013-1259-9

Keywords

Search

Navigation