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.
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REFERENCES
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)
Begueria, S.: Validation and evaluation of predictive models in hazard assessment and risk management. Natural Hazards, 37, 315–329 (2006)
Bonham-Carter, G.F.: Geographic information systems for geoscientists: modelling with GIS. Pergamon, Oxford, New York, pp. 292–302 (1994)
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)
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)
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)
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)
Corominas, J. and Moya, J.: A review of assessing landslide frequency for hazard zoning purposes. Engineering Geology, 102, 193–213 (2008)
Dai, F.C., Lee, C.F. and Ngai, Y.Y.: Landslide risk assessment and management: an overview. Engineering Geology, 64(1), 65–87 (2002)
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)
GSI: Geological and Mineral Resources map of Tamil Nadu and Pondicherry (1995)
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)
IDRISI: The decision support ring. IDRISI user manual version-4 (1995)
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)
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)
Lee, S., Choi, J. and Min, K.: Landslide susceptibility analysis and verification using the Bayesian probability model. Environmental Geology, 43, 120–131 (2002)
Lee, S. and Min, K.D.: Statistical analysis of Landslide Susceptibility at Yongin, Korea. Environmental Geology, 40(9), 1095–1113 (2001)
Lee, S.: Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environmental Geology, 52, 615–623 (2007)
McKean, J., Buechel, S. and Gaydos, L.: Remote sensing and landslide hazard assessment. Photogrammetric Engineering and Remote Sensing, 57(9), 1185–1193 (1991)
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)
Satty, T.L.: Exploring the interface between hierarchies, multiple objectives and fuzzy set. Fuzzy Sets Syst., 1, 57–68 (1978)
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)
Van Westen, C.J., Rengers, N. and Soeters, R.: Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment. Natural Hazards. 30, 399–419 (2003)
Wieczorek, G.F.: Preparing a detailed landslide-inventory map for hazard evaluation and reduction. Bulletin Association Engineering Geology, 21, 337–342 (1984)
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)
Zadeh, L.A.: Fuzzy sets. IEEE Information and Control, 8, 125–151 (1965)
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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
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DOI: https://doi.org/10.1007/978-3-319-18663-4_82
Publisher Name: Springer, Cham
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