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Toward an Early Warning System in Guwahati City for Landslides Triggered by Rainfall and Earthquake
Guwahati city located in the northeastern state of Assam is prone to landslides. Each year, there are reports of loss of life and property due to landslides. Conventional methods of slope stability are yet to find a practical application in many of the human inhabited hill slopes of the city. Instead, the practice of cutting of slopes at steep angles to build houses is a rampant practice in Guwahati city. Hence, this study suggests the setting up of landslide early warning system (LEWS), where the people residing in landslide prone areas would be warned ahead of a fatal slope failure. To achieve this aim, this study proposes a two component LEWS consisting of a landslide susceptibility database and real-time monitoring of the site conditions. Based on this framework, the landslide prone hill slopes in Guwahati city have been identified. In situ properties of the hill slopes such as the soil type, permeability, slope angle, and elevation are proposed to be used as preparatory input parameters for the landslide susceptibility database component of the LEWS. The second component would be real-time monitoring of the changes in the pore water and slope angle of the hill slopes. Based on the preset threshold limits, an alarm would be issued to warn the residents of the site.
Toward an Early Warning System in Guwahati City for Landslides Triggered by Rainfall and Earthquake
Guwahati city located in the northeastern state of Assam is prone to landslides. Each year, there are reports of loss of life and property due to landslides. Conventional methods of slope stability are yet to find a practical application in many of the human inhabited hill slopes of the city. Instead, the practice of cutting of slopes at steep angles to build houses is a rampant practice in Guwahati city. Hence, this study suggests the setting up of landslide early warning system (LEWS), where the people residing in landslide prone areas would be warned ahead of a fatal slope failure. To achieve this aim, this study proposes a two component LEWS consisting of a landslide susceptibility database and real-time monitoring of the site conditions. Based on this framework, the landslide prone hill slopes in Guwahati city have been identified. In situ properties of the hill slopes such as the soil type, permeability, slope angle, and elevation are proposed to be used as preparatory input parameters for the landslide susceptibility database component of the LEWS. The second component would be real-time monitoring of the changes in the pore water and slope angle of the hill slopes. Based on the preset threshold limits, an alarm would be issued to warn the residents of the site.
Toward an Early Warning System in Guwahati City for Landslides Triggered by Rainfall and Earthquake
Lecture Notes in Civil Engineering
Sitharam, T. G. (editor) / Kolathayar, Sreevalsa (editor) / Jakka, Ravi (editor) / Kumar, Jai Prakash (author) / Paswan, Amarjeet (author) / Awasthi, Sudhanshu (author) / Baro, Olympa (author) / Mal, Risha (author)
2022-01-04
9 pages
Article/Chapter (Book)
Electronic Resource
English
Early Warning of Water-Triggered Landslides
| Springer Verlag | 2021
Early Warning of Water-Triggered Landslides
| TIBKAT | 2021
Investigation of Rainfall-Induced Landslides at the Hillslopes of Guwahati Region, Assam
| Springer Verlag | 2019
| Elsevier | 2015
| Online Contents | 2016