Skip to main content

Application of Fuzzy Gamma Operator in Landslide Susceptibility Mapping along Yercaud Ghat Road Section, Tamil Nadu, India

  • Conference paper
Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment

Abstract

The present study emphasizes the application of fuzzy operators in landslide susceptibility mapping along Yercaud ghat road section in the state of Tamil Nadu, India. Yercaud is one of the important hill stations and tourist spot in Tamil Nadu. In recent times, it faces frequent landslide occurrences. There is a urgent need for detail study of landslides along the ghat road to prevent further slope failure. The study has been conducted through integrated remote sensing, GIS and field investigations. The existing landslide locations were collected from previous study and verified in the field. The slope gradient, slope aspect, relief, lithology, land cover, geomorphology, proximity to road, proximity to drainage and proximity to lineament were analyzed with the help of Survey of India topo map, published geology map and satellite data. The relationship between various causative factors with past landslide locations were compared using frequency ratio method. These frequency ratio values were normalized to get fuzzy membership values between 0 to 1. The parameter maps with membership values were integrated using fuzzy algebraic product, fuzzy algebraic sum and fuzzy gamma operators to get final landslide susceptibility map. The produced map was verified by comparing with existing landslide locations for calculating prediction accuracy. The fuzzy gamma operator (γ=0.975) showed the highest accuracy of 0.7895.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 329.99
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

  1. Ayalew, L., Yamagishi, H. and Ugawa, N.: Landslide susceptibility mapping using GIS based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides, 1, 73–81 (2004)

    Article  Google Scholar 

  2. Begueria, S.: Validation and evaluation of predictive models in hazard assessment and risk management. Natural Hazards, 37, 315–329 (2006)

    Article  Google Scholar 

  3. Bonham-Carter, G.F.: Geographic information systems for geoscientists: modelling with GIS. Pergamon, Oxford, New York, pp. 292–302 (1994)

    Google Scholar 

  4. Brabb, E.E.: Innovative approaches to landslide hazard and risk mapping. In: Proceedings of 4th International Symposium on Landslides, Toronto, Canada. Volume 1, pp. 307–324. BiTech Publishers, Canada (1984)

    Google Scholar 

  5. Chauhan, S., Sharma, M., Arora, M.K. and Gupta, N.K.: Landslide Susceptibility Zonation through ratings derived from Artificial Neural Network. International Journal of Applied Earth Observations and Geoinformation, 12, 340–350 (2010)

    Article  Google Scholar 

  6. Choi, J., Oh, H.J., Lee, H.J., Lee, C. and Lee, S.: Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS. Engineering Geology, 124, 12–23 (2012)

    Article  Google Scholar 

  7. Chung, C-J.F. and Fabbri, A.G.: Probabilistic prediction models for landslide hazard mapping. Photogrammetric Engineering and Remote Sensing, 65(12), 1389–1399 (1999)

    Google Scholar 

  8. Corominas, J. and Moya, J.: A review of assessing landslide frequency for hazard zoning purposes. Engineering Geology, 102, 193–213 (2008)

    Article  Google Scholar 

  9. Dai, F.C., Lee, C.F. and Ngai, Y.Y.: Landslide risk assessment and management: an overview. Engineering Geology, 64(1), 65–87 (2002)

    Article  Google Scholar 

  10. Das, I., Stein, A., Kerle, N. and Dadhwal, V.K.: Probabilistic landslide hazard assessment using homogeneous susceptible units (HSU) along a national highway corridor in the northern Himalayas, India. Landslides, 8, 293–308 (2011)

    Article  Google Scholar 

  11. GSI: Geological and Mineral Resources map of Tamil Nadu and Pondicherry (1995)

    Google Scholar 

  12. Hearn, G.J.: Landslide and Erosion Hazard Mapping at Ok Tedi Copper Mine, Papua New Guinea. Quarterly Journal of Engineering Geology, 28, 47–60 (1995)

    Article  Google Scholar 

  13. IDRISI: The decision support ring. IDRISI user manual version-4 (1995)

    Google Scholar 

  14. Kanungo, D.P., Arora, M.K., Sarkar, S. and Gupta, R.P.: Landslide Susceptibility Zonation (LSZ) Mapping – A Review. Journal of South Asian Disaster Studies, 2(1), 81–105 (2009)

    Google Scholar 

  15. Kayastha, P., Bijukchhen, S.M., Dhital, M.R. and Smedt, F.D.: GIS Based Landslide Susceptibility Mapping using a Fuzzy Logic Approach: A Case Study from Ghurmi-Dhad Khola Area, Eastern Nepal. Journal Geological Society of India, 82, 249–261 (2013)

    Article  Google Scholar 

  16. Lee, S., Choi, J. and Min, K.: Landslide susceptibility analysis and verification using the Bayesian probability model. Environmental Geology, 43, 120–131 (2002)

    Article  Google Scholar 

  17. Lee, S. and Min, K.D.: Statistical analysis of Landslide Susceptibility at Yongin, Korea. Environmental Geology, 40(9), 1095–1113 (2001)

    Article  Google Scholar 

  18. Lee, S.: Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environmental Geology, 52, 615–623 (2007)

    Article  Google Scholar 

  19. McKean, J., Buechel, S. and Gaydos, L.: Remote sensing and landslide hazard assessment. Photogrammetric Engineering and Remote Sensing, 57(9), 1185–1193 (1991)

    Google Scholar 

  20. Saranathan, E., Rajesh Kumar., Kannan, M. and Anbalagan, R.: Landslide Macro Hazard zonation of the Yercaud Hill slopes ghat sections – km 10/4 to 29/6. Indian Landslides, 3(1), 9–16 (2010)

    Google Scholar 

  21. Satty, T.L.: Exploring the interface between hierarchies, multiple objectives and fuzzy set. Fuzzy Sets Syst., 1, 57–68 (1978)

    Article  Google Scholar 

  22. Srivastava, V., Srivastava, H. and Lakhera, R.C.: 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 (2010)

    Article  Google Scholar 

  23. Van Westen, C.J., Rengers, N. and Soeters, R.: Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment. Natural Hazards. 30, 399–419 (2003)

    Article  Google Scholar 

  24. Wieczorek, G.F.: Preparing a detailed landslide-inventory map for hazard evaluation and reduction. Bulletin Association Engineering Geology, 21, 337–342 (1984)

    Google Scholar 

  25. Yin, K.L. and Yan, T.Z.: Statistical prediction model for slope instability of metamorphosed rocks. In: Proceedings of the 5th International Symposium on Landslides. Lausanne, 2, 1269–1272 (1988)

    Google Scholar 

  26. Zadeh, L.A.: Fuzzy sets. IEEE Information and Control, 8, 125–151 (1965)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Anbazhagan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Capital Publishing Company

About this paper

Cite this paper

Ramesh, V., Phaomei, T., Baskar, M., Anbazhagan, S. (2016). Application of Fuzzy Gamma Operator in Landslide Susceptibility Mapping along Yercaud Ghat Road Section, Tamil Nadu, India. In: Raju, N. (eds) Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment. Springer, Cham. https://doi.org/10.1007/978-3-319-18663-4_82

Download citation

Publish with us

Policies and ethics