Identification of landslide susceptibility zones in Gish River basin, West Bengal, India

References

• Akgun, A. 2012. “A Comparison of Landslide Susceptibility Maps Produced by Logistic Regression, Multi-criteria Decision, and Likelihood Ratio Methods: A Case Study at İzmir, Turkey.” Landslides 9: 93–106. doi: 10.1007/s10346-011-0283-7
   Web of Science ®Google Scholar
• Al Saud, M. 2009. “Morphometric Analysis of WadiAurnah Drainage System, Western Arabian Peninsula.” The Open Hydrology Journal 3: 2–6.
   Google Scholar
• Ansari, Md. A., P. K. Khan, V. M. Tiwari, and J. Banerjee. 2014. “Gravity Anomalies, Flexure, and Deformation of the Converging Indian Lithosphere in Nepal and Sikkim–Darjeeling Himalayas.” International Journal of Earth Sciences (GeolRundsch) 103: 1681–1697. doi: 10.1007/s00531-014-1039-0
   Web of Science ®Google Scholar
• Atkinson, P. M., and R. Massari. 1998. “Generalised Linear Modelling of Susceptibility to Landsliding in the Central Apnnines, Italy.” Computers & Geosciences 24 (4): 373–385. doi: 10.1016/S0098-3004(97)00117-9
   Web of Science ®Google Scholar
• Ayalew, L., and H. Yamagishi. 2005. “The Application of GIS-based Logistic Regression for Landslide Susceptibility Mapping in the Kakuda–Yahiko Mountains, Central Japan.” Geomorphology, 65: 15–31. doi: 10.1016/j.geomorph.2004.06.010
   Web of Science ®Google Scholar
• Bai, S. B., J. Wang, G.-N. Lü, P. G. Zhou, S. S. Hou, and S. N. Xu. 2010. “GIS-based Logistic Regression for Landslide Susceptibility Mapping of the Zhongxian Segment in the Three Gorges Area, China.” Geomorphology 115: 23–31. doi: 10.1016/j.geomorph.2009.09.025
   Web of Science ®Google Scholar
• Bijukchhen, S. M., P. Kayastha, and M. R. Dhital. 2013. “A Comparative Evaluation of Heuristic and Bivariate Statistical Modeling for Landslide Susceptibility Mappings in Ghurmi-DhadKhola, East Nepal.” Arabian Journal of Geosciences 6 (8): 2727–2743. doi: 10.1007/s12517-012-0569-7
   Web of Science ®Google Scholar
• Burns, W. M., K. A. Mickelson, and C. E. Saint-Pierre. 2013. Landslide Inventory Maps. Portland: Oregon Department of Geology and Mineral Industries. Interpretive Map 54-55, 2 pls., scale 1:8,000.
   Google Scholar
• Chau, K. T., and J. E. Chan. 2005. “Regional Bias of Landslide Data in Generating Susceptibility Maps Using Logistic Regression: Case of Hong Kong Island.” Landslide 2: 280–290 doi: 10.1007/s10346-005-0024-x
   Web of Science ®Google Scholar
• Das, I., S. Sahoo, C. Van Westen, A. Stein, and R. Hack. 2010. “Landslide Susceptibility Assessment Using Logistic Regression and its Comparison with a Rock Mass Classification System, along a Road Section in the Northern Himalayas (India).” Geomorphology 114: 627–637. doi: 10.1016/j.geomorph.2009.09.023
   Web of Science ®Google Scholar
• Demir, G., M. Aytekin, and A. Akgun. 2014. “Landslide Susceptibility Mapping by Frequency Ratio and Logistic Regression Methods: An Example from Niksar–Resadiye (Tokat, Turkey).” Arabian Journal of Geosciences 8: 1801–1812. doi: 10.1007/s12517-014-1332-z
   Web of Science ®Google Scholar
• Eker, R., and A. Aydın. 2014. “Assessment of Forest Road Conditions in Terms of Landslide Susceptibility: A Case Study in Yığılca Forest Directorate (Turkey).” Turkish Journal of Agricultural Forestry 38 (2): 281–290. doi: 10.3906/tar-1303-12
   Web of Science ®Google Scholar
• Fowze, J. S. M., V. Thakar, S. Wahyu, R. Shofiyati, M. K. Hazarika, and L. Samarakoon. 2010. “Landslide Susceptibility Mapping in Agricultural Land Using Remote Sensing and GIS: A Case Study in East Java, Indonesia.” Asian Association on Remote Sensing, 1–6. http://www.a-a-r-s.org/acrs/administrator/components/com_jresearch/files/publications/SS03-3.pdf.
   Google Scholar
• Fukushima, Y., and T. Tanaka. 1990. “A New Attenuation Relation for Peak Horizontal Acceleration of Strong Earthquake Ground Motion in Japan.” Bulletin of the Seismological Society of America 80: 757–783.
   Web of Science ®Google Scholar
• Hadley, R. F., and S. A. Schumm. 1961. “Sediment Sources and Drainage Basin Characteristics in Upper Cheyenne River Basin.” US Geol Survey Water Supply Paper 1531-B:198.
   Google Scholar
• Hasekiogullari, G. D., and M. A. Ercanoglu. 2012. “New Approach to Use AHP in Landslide Susceptibility Mapping: A Case Study at Yenice (Karabuk, NW Turkey).” Natural Hazards 63 (2): 1157–1179. doi: 10.1007/s11069-012-0218-1
   Web of Science ®Google Scholar
• Kakembo, V., W. W. Xanga, and K. Rowntree. 2009. “Topographic Thresholds in Gully Development on the Hillslopes of Communal Areas in Ngqushwa Local Municipality, Eastern Cape, South Africa.” Geomorphology 110: 188–194. doi: 10.1016/j.geomorph.2009.04.006
   Web of Science ®Google Scholar
• Kayastha, P., M. R. Dhital, and F. De Smedt. 2013. “Evaluation and Comparison of GIS Based Landslide Susceptibility Mapping Procedures in Kulekhani Watershed, Nepal.” Journal of the Geological Society of India 81: 219–231. doi: 10.1007/s12594-013-0025-7
   Web of Science ®Google Scholar
• Lee, E. M., and D. K. C. Jones. 2004. Landslide Risk Assessment. London: Thomas Telford. p. 454.
   Google Scholar
• Lee, S., and K. Min. 2001. “Statistical Analysis of Landslide Susceptibility at Yongin, Korea.” Environmental Geology 40: 1095–1113. doi: 10.1007/s002540100310
   Web of Science ®Google Scholar
• Lee, S., and B. Pradhan. 2006. “Probabilistic Landslide Hazards and Risk Mapping on Penang Island, Malaysia.” Journal of Earth System Science 115: 661–672. doi: 10.1007/s12040-006-0004-0
   Web of Science ®Google Scholar
• Mandal, S., and R. Maiti. 2014. “Role of Lithological Composition and Lineaments in Landsliding: A Case Study of Shivkhola Watershed, Darjeeling Himalaya.” International Journal of Geology, Earth and Environmental Sciences 4 (1): 126–132.
   Google Scholar
• Melchiorre, C., M. Matteucci, A. Azzoni, and A. Zanchi. 2008. “Artificial Neural Networks and Cluster Analysis in Landslide Susceptibility Zonation.” Geomorphology 94: 379–400. doi: 10.1016/j.geomorph.2006.10.035
   Web of Science ®Google Scholar
• Mezughi, T. H., and J. M. Akhir. 2011. “Landslide Susceptibility Assessment Using Frequency Ratio Model Applied to an Area along the E-W Highway (Gerik-Jeli).” American Journal of Environmental Sciences 7 (1): 43–50. doi: 10.3844/ajessp.2011.43.50
   Google Scholar
• Moore, I. D., and G. J. Burch. 1986. “Physical Basis of the Length-slope Factor in the Universal Soil Loss Equation.” Soil Science Society of America Journal 50: 1294–1298. doi: 10.2136/sssaj1986.03615995005000050042x
   Web of Science ®Google Scholar
• Nandi, A., and A. A. Shakoor. 2010. “GIS-based Landslide Susceptibility Evaluation Using Bivariate and Multivariate Statistical Analyses.” Engineering Geology 110: 11–20. doi: 10.1016/j.enggeo.2009.10.001
   Web of Science ®Google Scholar
• Nefeslioglu, H. A., T. Y. Duman, and S. Durmaz. 2008. “Landslide Susceptibility Mapping for a Part of Tectonic Kelkit Valley (Eastern Black Sea Region of Turkey).” Geomorphology 94: 401–418. doi: 10.1016/j.geomorph.2006.10.036
   Web of Science ®Google Scholar
• Onda, Y. 1993. “ Underlying Rock Type Controls of Hydrological Processes and Shallow Landslide Occurrence.” ÿIAHSPubl No 217: 47–55.
   Google Scholar
• Pourghasemi, H. R., H. R. Moradi, S. M. Fatemi Aghda, C. Gokceoglu, and B. Pradhan. 2014. “GIS-based Landslide Susceptibility Mapping with Probabilistic Likelihood Ratio and Spatial Multi-criteria Evaluation Models (North of Tehran, Iran).” Arabian Journal of Geoscience 7 (5): 1857–1878. doi: 10.1007/s12517-012-0825-x
   Web of Science ®Google Scholar
• Pourghasemi, H. R., B. Pradhan, and C. Gokceoglu. 2012. “Application of Fuzzy Logic and Analytical Hierarchy Process (AHP) to Landslide Susceptibility Mapping at Haraz Watershed, Iran.” Natural Hazards 63: 965–996. doi: 10.1007/s11069-012-0217-2
   Web of Science ®Google Scholar
• Pourghasemi, H. R., B. Pradhan, C. Gokceoglu, and K. Deylami Moezzi. 2012. “Landslide Susceptibility Mapping Using a Spatial Multi Criteria Evaluation Model at Haraz Watershed, Iran.” Terrigenous Mass Movements, Springer-Verlag Berlin Heidelberg: 23–49. doi: 10.1007/978-3-642-25495-6_2
   Google Scholar
• Pradhan, B., and M. F. Buchroithner. 2010. “Comparison and Validation of Landslide Susceptibility Maps Using an Artificial Neural Network Model for Three Test Areas in Malaysia.” Environmental Engineering Geoscience 16 (2): 107–126. doi: 10.2113/gseegeosci.16.2.107
   Web of Science ®Google Scholar
• Pradhan, B., and S. Lee. 2010. “Landslide Susceptibility Assessment and Factor Effect Analysis: Back-propagation Artificial Neural Networks and their Comparison with Frequency Ratio and Bivariate Logistic Regression Modeling.” Environmental Modelling and Software 25 (6): 747–759. doi: 10.1016/j.envsoft.2009.10.016
   Web of Science ®Google Scholar
• Pradhan, B., S. Mansor, S. Pirasteh, and M. F. Buchroithner. 2011. “Landslide Hazard and Risk Analyses at a Landslide Prone Catchment Area Using Statistical Based Geospatial Model.” International Journal of Remote Sensing 32: 4075–4087. doi: 10.1080/01431161.2010.484433
   Web of Science ®Google Scholar
• Pradhan, B., and A. M. Youssef. 2010. “Manifestation of Remote Sensing Data and GIS on Landslide Hazard Analysis Using Spatial-based Statistical Models.” Arabian Journal of Geoscience 3 (3): 319–326. doi: 10.1007/s12517-009-0089-2
   Web of Science ®Google Scholar
• Quan, H. C., and B. G. Lee. 2012. “GIS-based Landslide Susceptibility Mapping Using Analytic Hierarchy Process and Artificial Neural Network in Jeju (Korea).” KSCE Journal of Civil Engineering 16: 1258–1266. doi: 10.1007/s12205-012-1242-0
   Web of Science ®Google Scholar
• Rai, P. K., K. Mohan, and V. K. Kumra. 2014. “Landslide Hazard and Its Mapping Using Remote Sensing and GIS.” Journal of Scientific Research. Banaras Hindu University, Varanasi 58: 1–13.
   Google Scholar
• Rasyid, A. R., N. P. Bhandary, and R. Yatabe. 2016. “Performance of Frequency Ration and Logistic Regression Model in Creating GIS Based Landslides Susceptibility map at Lompobattang Mountain, Indonesia.” Geoenvironmental Disasters 3 (19): 1–16.
   Google Scholar
• Regmi, A. D., K. C. Devkota, K. Yoshida, B. Pradhan, H. R. Pourghasemi, T. Kumamoto, and A. Akgun. 2014. “Application of Frequency Ratio, Statistical Index, and Weights-of-Evidence Models and their Comparison in Landslide Susceptibility Mapping in Central Nepal Himalaya.” Arabian Journal of Geosciences 7 (2): 725–742. doi: 10.1007/s12517-012-0807-z
   Web of Science ®Google Scholar
• Renard, K. G., G. R. Foster, G. A. Weesies, D. K. McCool, and D. C. Yoder. 1997. “Predicting Soil Erosion by Water: Aguide to Conservation Planning with the Revised Soil Loss Equation (RUSLE).” US Dept. of Agriculture.Agric. Handbook No. 703, pp. 404.
   Google Scholar
• Shahabi, H., S. Khezri, B. B. Ahmad, and M. Hashim. 2014. “Landslide Susceptibility Mapping at Central Zab Basin, Iran: A Comparison between Analytical Hierarchy Process, Frequency Ratio and Logistic Regression Models.” Catena 115: 55–70. doi: 10.1016/j.catena.2013.11.014
   Web of Science ®Google Scholar
• Sharma, L. P., N. Patel, P. Debnath, and M. K. Ghose. 2012. “Assessing Landslide Vulnerability from Soil Characteristics – A GIS-based Analysis.” Arabian Journal of Geosciences 5: 789–796. doi: 10.1007/s12517-010-0272-5
   Web of Science ®Google Scholar
• Sharma, A., and S. Ram. 2014. “A Review on Effects of Deforestation on Landslide: Hill Areas.” International Journal for Scientific Research &Development 2 (7): 1–10.
   Google Scholar
• Smith, K. 2013. Environmental Hazards: Assessing Risk and Reducing Disaster. London: Routledge.
   Google Scholar
• Strahler, A. N. 1964. “Quantitative Geomorphology of Drainage Basins and Channelnetworks.” In Handbook of Applied Hydrology, edited by V. T. Chow, 411–476. New York: McGraw-Hill.
   Google Scholar
• Sujatha, E. R., and G. V. Rajamanickam. 2012. “Analysis of Landslide Susceptibility to Different Land Use Patterns in a Part of Kodaikkanal, Tamilnadu.” Bonfring International Journal of Industrial Engineering and Management Science 2 (1): 53–55.
   Google Scholar
• Sujatha, E. R., G. V. Rajamanickam, and P. Kumaravel. 2012. “Landslide Susceptibility Analysis Using Probabilistic Certainty Factor Approach: A Case Study on Tevankarai Stream Watershed, India.” Journal of Earth System Science 121 (5): 1337–1350. doi: 10.1007/s12040-012-0230-6
   Web of Science ®Google Scholar
• Suzen, M. L., and V. Doyuran. 2004. “Data Driven Bivariate Landslid susceptibility Assessment Using Geographical Information Systems: A Method and Application to Asarsuyu Catchments, Turkey.” Engineering Geology 71: 303–321. doi: 10.1016/S0013-7952(03)00143-1
   Web of Science ®Google Scholar
• The Indian Express. July 2, 2015. http://indianexpress.com/article/india/west-bengal/landslides-claim-18-lives-in-darjeeling/.
   Google Scholar
• Tien Bui, D., B. Pradhan, O. Lofman, I. Revhaug, and O. B. Dick. 2012. “Spatial Prediction of Landslide Hazards in HoaBinh Province (Vietnam): A Comparative Assessment of the Efficacy of Evidential Belief Functions and Fuzzy Logic Models.” Catena 96: 28–40. doi: 10.1016/j.catena.2012.04.001
   Web of Science ®Google Scholar
• Van Den Eeckhaut, M., T. Vanwalleghem, J. Poesen, G. Govers, G. Verstraeten, and L. Vandekerckhove. 2006. “Prediction of Landslide Susceptibility Using Rare Events Logistic Regression: A Case-study in the Flemish Ardennes (Belgium).” Geomorphology 76 (3-4): 392–410. doi: 10.1016/j.geomorph.2005.12.003
   Web of Science ®Google Scholar
• Wang, L., K. Sawada, and S. Moriguchi. 2011. “Landslide Susceptibility Mapping by Using Logistic Regression Model with Neighborhood Analysis: A Case Study in Mizunami City.” International Journal of GEOMATE, GEOMATE 1 (2) (Sl. No. 2): 99–104.
   Google Scholar
• Wilson, J. P., and J. C. Gallant. 2000. Terrain Analysis Principles and Applications. New York: Wiley.
   Google Scholar
• Official Website of Government of Darjeeling. http://www.darjeeling.gov.in/geography.html.
   Google Scholar
• Zare, M., H. R. Pourghasemi, M. Vafakhah, and B. Pradhan. 2013. “Landslide Susceptibility Mapping at Vaz Watershed (Iran) Using an Artificial Neural Network Model: A Comparison between Multilayer Perceptron (MLP) and Radial Basic Function (RBF) Algorithms.” Arabian Journal of Geosciences 6: 2873–2888. doi: 10.1007/s12517-012-0610-x
   Web of Science ®Google Scholar