Abstract
Landslide is a ubiquitous phenomenon. It may be perilous in terms of possible losses which cost human lives, network and economic infrastructures. Hence, risk quantification of landslides is indispensable for effective disaster management. This study assessed and quantified the risk associated with landslide events. Moreover, utility of computational intelligent methods such as fuzzy spatial overlay operations along with GIS spatial overlay operations, and AHP-TOPSIS model is demonstrated in the study for deciphering various aspects of landslide risk dynamics. Social vulnerability was also assessed in the context of infrastructure of the region. Findings of the study suggests that rainfall with highest relative weight among the identified influential factors may have significant impact in triggering landslides. It has been observed that the highest risk zone for landslides fall in the vicinity of central and eastern part of Aizawl city surrounded by high-moderate risk zone of landslides.
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References
Anbalagan, R.: Landslide hazard evaluation and zonation mapping in mountainous terrain. Eng. Geol. 32, 269–277 (1992)
Cruden, D.M.: A simple definition of a Landslide. Bull. Int. Assoc. Eng. Geol. 43, 27–29 (1991)
Froude, M.J., Petley, D.N.: Global fatal landslide occurrence from 2004 to 2016. Nat. Hazard. 18, 2161–2181 (2018)
Gorsevski, P.V., Jankowski, P., Paul, E.G.: Heuristic approach for mapping landslide hazard integrating fuzzy logic with analytical hierarchy process. Control Cybernet. 35 (2006)
Jaboyedoff, M., Michoud, C., Derron, M.H., Voumard, J., Leibundgut, G., Rieux, K.S., Nadim, F., Leroi, E.: Human-induced landslides: toward the analysis of anthropogenic changes of the slope environment (2016)
Jian, W., Xiang-guo, P.: GIS based landslide hazard zonation model and its application. Proc. Earth Planet. Sci. 1, 1198–1204 (2009). https://doi.org/10.1016/j.proeps.2009.09.184
Kypacharili, F.C., Rohmingthangi, G., Mukherjee, A.B., Mipun, B.S.: Assessment of landslide hazard zone using soft computing approach and geospatial technology. In: 2nd Annual convention of North East(India) Academy of Science and Technology(NEAST) and International Seminar on Recent Advances in Science and Technology (IRSRAST) (2020)
Mukherjee, A.B., Krishna, A., Patel, N.: Application of remote sensing technology, GIS and AHP-TOPSIS model to quantify urban landscape vulnerability to land use transformation (2018)
Saaty, T.L.: A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15, 231–281 (1977)
Saha, A.K., Gupta, R.P., Arora, M.K.: GIS-based landslide hazard zonation in the Bhagirathi (Ganga) valley Himalayas. Int. J. Remote Sens. 23(2), 357–369 (2002)
Acknowledgements
Authors are grateful to the management of North Eastern Hill University (NEHU) for providing the opportunity to perform the research. And special thanks to the managing director of Leads Connect Services Pvt. Ltd. for providing platform to refine the study and validate the results.
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Rohmingthangi, G., Kypacharili, F.C., Mukherjee, A.B., Mipun, B.S. (2022). Landslide Risk Dynamics Modeling Using AHP-TOPSIS Model, Computational Intelligence Methods, and Geospatial Analytics: A Case Study of Aizawl City, Mizoram—India. In: Satapathy, S.C., Peer, P., Tang, J., Bhateja, V., Ghosh, A. (eds) Intelligent Data Engineering and Analytics. Smart Innovation, Systems and Technologies, vol 266. Springer, Singapore. https://doi.org/10.1007/978-981-16-6624-7_40
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DOI: https://doi.org/10.1007/978-981-16-6624-7_40
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