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A platform for research: civil engineering, architecture and urbanism
Recent Advances in Early Warning Systems for Landslide Forecasting
https://orcid.org/http://orcid.org/0000-0002-3658-8227
https://orcid.org/http://orcid.org/0000-0002-5236-5859
https://orcid.org/http://orcid.org/0000-0002-8532-3225
Slope failures and landslides pose serious geotechnical challenges, as large fatalities and economic losses may occur due to such natural disasters. Landslides happen mainly due to excessive rainfall and large magnitude earthquake. In recent years, efforts have been made toward developing various early warning systems for landslide forecasting, which would help to minimize fatalities, by efficient evacuation, prior to the landslide event. The different methods/approaches for landslide forecasting include application of early warning sensors, acoustic emission-based slope alarm, displacement sensors, volumetric moisture content sensors, application of inclinometers and extensometers to monitor soil movement, Internet of Things (IoT) based monitoring system, micro electro mechanical systems (MEMS) based wireless monitoring and GPS based monitoring.
Some of these methods/approaches would require higher initial, installation or maintenance cost. The accuracy of prediction of these methods also play a key role in effective landslide prediction. This paper presents a detailed assessment of the basic working principle, advantages/limitations and the recent advances in the domain of early warning systems. Based on the review, it is noted that the application of acoustic emission-based early warning system is economical and relatively simpler for landslide forecasting. Further, it has been reported that low-length displacement sensors are not able to effectively diagnose the movement during a slope failure. It has been suggested that the combined application of finite element models for predicting the behavior of slopes susceptible to landslides, effective monitoring system and set off alarms, play a key role in efficient early warning of landslide hazard. It is also opined that a combination of early warning systems may be employed at large sites prone to landslides to monitor the local and regional changes, for better prediction of a probable landslide event.
Recent Advances in Early Warning Systems for Landslide Forecasting
https://orcid.org/http://orcid.org/0000-0002-3658-8227
https://orcid.org/http://orcid.org/0000-0002-5236-5859
https://orcid.org/http://orcid.org/0000-0002-8532-3225
Slope failures and landslides pose serious geotechnical challenges, as large fatalities and economic losses may occur due to such natural disasters. Landslides happen mainly due to excessive rainfall and large magnitude earthquake. In recent years, efforts have been made toward developing various early warning systems for landslide forecasting, which would help to minimize fatalities, by efficient evacuation, prior to the landslide event. The different methods/approaches for landslide forecasting include application of early warning sensors, acoustic emission-based slope alarm, displacement sensors, volumetric moisture content sensors, application of inclinometers and extensometers to monitor soil movement, Internet of Things (IoT) based monitoring system, micro electro mechanical systems (MEMS) based wireless monitoring and GPS based monitoring.
Some of these methods/approaches would require higher initial, installation or maintenance cost. The accuracy of prediction of these methods also play a key role in effective landslide prediction. This paper presents a detailed assessment of the basic working principle, advantages/limitations and the recent advances in the domain of early warning systems. Based on the review, it is noted that the application of acoustic emission-based early warning system is economical and relatively simpler for landslide forecasting. Further, it has been reported that low-length displacement sensors are not able to effectively diagnose the movement during a slope failure. It has been suggested that the combined application of finite element models for predicting the behavior of slopes susceptible to landslides, effective monitoring system and set off alarms, play a key role in efficient early warning of landslide hazard. It is also opined that a combination of early warning systems may be employed at large sites prone to landslides to monitor the local and regional changes, for better prediction of a probable landslide event.
Recent Advances in Early Warning Systems for Landslide Forecasting
https://orcid.org/http://orcid.org/0000-0002-3658-8227
https://orcid.org/http://orcid.org/0000-0002-5236-5859
https://orcid.org/http://orcid.org/0000-0002-8532-3225
Slope failures and landslides pose serious geotechnical challenges, as large fatalities and economic losses may occur due to such natural disasters. Landslides happen mainly due to excessive rainfall and large magnitude earthquake. In recent years, efforts have been made toward developing various early warning systems for landslide forecasting, which would help to minimize fatalities, by efficient evacuation, prior to the landslide event. The different methods/approaches for landslide forecasting include application of early warning sensors, acoustic emission-based slope alarm, displacement sensors, volumetric moisture content sensors, application of inclinometers and extensometers to monitor soil movement, Internet of Things (IoT) based monitoring system, micro electro mechanical systems (MEMS) based wireless monitoring and GPS based monitoring.
Some of these methods/approaches would require higher initial, installation or maintenance cost. The accuracy of prediction of these methods also play a key role in effective landslide prediction. This paper presents a detailed assessment of the basic working principle, advantages/limitations and the recent advances in the domain of early warning systems. Based on the review, it is noted that the application of acoustic emission-based early warning system is economical and relatively simpler for landslide forecasting. Further, it has been reported that low-length displacement sensors are not able to effectively diagnose the movement during a slope failure. It has been suggested that the combined application of finite element models for predicting the behavior of slopes susceptible to landslides, effective monitoring system and set off alarms, play a key role in efficient early warning of landslide hazard. It is also opined that a combination of early warning systems may be employed at large sites prone to landslides to monitor the local and regional changes, for better prediction of a probable landslide event.
Recent Advances in Early Warning Systems for Landslide Forecasting
Lecture Notes in Civil Engineering
Adhikari, Basanta Raj (editor) / Kolathayar, Sreevalsa (editor) / Wanare, Ram (author) / Iyer, Kannan K. R. (author) / Jayanthi, Prathyusha (author)
2021-11-27
12 pages
Article/Chapter (Book)
Electronic Resource
English
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