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Subsurface Investigation Using Vertical Electrical Sounding Method to Evaluate Surface Instabilities in Kohima Town, Nagaland

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Disaster Management and Risk Reduction: Multidisciplinary Perspectives and Approaches in the Indian Context (NERC 2022)

Abstract

Normal life is regularly disrupted in Kohima, the state capital of Nagaland, due to frequent incidences of land instabilities. Six unstable and two stable areas sharing similar geology in different parts of the town were selected for electrical resistivity study. Vertical Electrical Sounding (VES) was carried out to determine the subsurface conditions by analyzing variations in the resistivity values following the Schlumberger configuration. The objective of the present study is to evaluate the influence of subsurface conditions on surface instabilities. The VES data show three to five subsurface geo-electric layers, comprising of the topsoil followed by various rock layers that are found to be weathered and fractured. K type is the dominant curve which indicates higher saturation at the lower strata. Existing borehole data were used to validate the results of the VES. Thickness of soil overburden, types and condition of the subsurface rocks, the depth of water table have some influence on the type and incidences of slope instabilities.

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Acknowledgements

The authors wish to acknowledge the Department of Geology, Nagaland University for providing the necessary logistics and equipment to carry out the investigation. The support given by Mr. Mehilo Apon, Mr. Notoka and Ms. Olivia Richa, Research scholars, Department of Geology, during the field works is also gratefully acknowledged.

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Correspondence to Temsulemba Walling .

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Ezung, M., Chang, C.N., Walling, T., Chelladurai, C. (2023). Subsurface Investigation Using Vertical Electrical Sounding Method to Evaluate Surface Instabilities in Kohima Town, Nagaland. In: Mitra, S., Dasgupta, K., Dey, A., Bedamatta, R. (eds) Disaster Management and Risk Reduction: Multidisciplinary Perspectives and Approaches in the Indian Context. NERC 2022. Springer, Singapore. https://doi.org/10.1007/978-981-99-6395-9_9

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