Landslide Early Warning System in Kalimpong, West Bengal

Dikshit, A; Satyam, N

Landslide Early Warning System in Kalimpong, West Bengal

Dikshit, A

Satyam, N

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Publisher:: Springer Nature
Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Civil Engineering, 2022, 195, pp. 261-267
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Dikshit, A https://orcid.org/0000-0003-2876-4080
dc.contributor.author	Satyam, N
dc.date.accessioned	2023-04-11T00:27:46Z
dc.date.available	2023-04-11T00:27:46Z
dc.date.issued	2022-01-01
dc.identifier.citation	Lecture Notes in Civil Engineering, 2022, 195, pp. 261-267
dc.identifier.isbn	9789811664557
dc.identifier.issn	2366-2557
dc.identifier.issn	2366-2565
dc.identifier.uri	http://hdl.handle.net/10453/169473
dc.description.abstract	Landslides can be triggered either by rainfall or earthquake which have been intensified by the increase in human activities. Majority of the landslides in Indian Himalayas are initiated by heavy monsoonal precipitation. Several attempts have been made to determine the relationship between precipitation and landslide occurrences using various empirical or statistical methods. However, a comprehensive study on the relationship using an effective monitoring system is yet to be conducted. The present work analyses the results obtained from a reliable and robust monitoring system and analyse its applicability. The monitoring system consists of Microelectromechanical Systems (MEMS) tilt sensor and volumetric water content sensor. The MEMS-based sensor determines the tilting angle which is places at shallow depths. The change in the tilting angle reflects to the lateral displacement at the surface. Thus, the amount of tilting angle which exceeds critical value would reflect various stages of slope failure. The results obtained from the monitoring system would help in setting up a warning system and eventually save human lives.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Lecture Notes in Civil Engineering
dc.relation.ispartofseries	Lecture Notes in Civil Engineering
dc.relation.isbasedon	10.1007/978-981-16-6456-4_28
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Landslide Early Warning System in Kalimpong, West Bengal
dc.type	Conference Proceeding
utslib.citation.volume	195
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-11T00:27:44Z
pubs.publication-status	Published
pubs.volume	195

Abstract:

Landslides can be triggered either by rainfall or earthquake which have been intensified by the increase in human activities. Majority of the landslides in Indian Himalayas are initiated by heavy monsoonal precipitation. Several attempts have been made to determine the relationship between precipitation and landslide occurrences using various empirical or statistical methods. However, a comprehensive study on the relationship using an effective monitoring system is yet to be conducted. The present work analyses the results obtained from a reliable and robust monitoring system and analyse its applicability. The monitoring system consists of Microelectromechanical Systems (MEMS) tilt sensor and volumetric water content sensor. The MEMS-based sensor determines the tilting angle which is places at shallow depths. The change in the tilting angle reflects to the lateral displacement at the surface. Thus, the amount of tilting angle which exceeds critical value would reflect various stages of slope failure. The results obtained from the monitoring system would help in setting up a warning system and eventually save human lives.

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http://hdl.handle.net/10453/169473