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Landslide Monitoring and Early Warning System Using Cluster Of Sensors And Neural Network

Ignisha Rajathi G, Prinza L, Jerald Prasad G

Abstract


When gravity triumphs over the frictional forces holding the layers of rock in place on a slope, landslides happen. In India, the state Kerala has been a victim to the failure plane which holds the weak layer like shale. The disruption of the frictional balance on the slope, creates catastrophe on human life and properties. The estimate completely lowers the likelihood of the landslide. A novel methodology with a structural implementation is formulated in this research, by employing a sensor pole intrigued with a feed forward neural network. The sensor pole encapsulates a strain gauge for the measure of displacement, gyroscope for change of inclination, and a moisture sensor for hydration level of soil. These features are superintended on neural network to enunciate the probable occurrence of landslide on the fragile zones, so as to decrease environmental impact on its downside with an alarming alert system, using this research work

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References


Kuriakose, Sekhar & Sankar, G. & Muraleedharan, C. (2010). Landslide fatalities in the Western Ghats of Kerala, India. p. 8645. Online Available: https://www.researchgate.net/publication/252641184_Landslide_fatalities_in_the_Western_Ghats_of_Kerala_India

Kuriakose, Sekhar & Sankar, G. & Muraleedharan, C. (2008). History of landslide susceptibility and a chorology of landslide-prone areas in the Western Ghats of Kerala, India. Environmental

Geology. 57. 1553–1568.

Savvaidis, P, “Existing Landslide Monitoring Systems and Techniques.” (2003). School of Rural and Surveying Engineering, The Aristotle University of Thessaloniki, From Stars to Earth and

Culture In honor of the memory of Professor Alexandros Tsioumis pp. 242–258.

Marco Scaioni, Laura Longoni, Valentina Melillo and Monica Papini, (2016) “Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives”, Remote Sensing, MDPI, Volume 6, Issue 10, Pages 9145–10251.

Marco Scaioni, Maria Marsella, Michele Crosetto, Vincenza Tornatore and Jin Wang, (2018), Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring, Sensors.18(11):3682.

William Emery, Adriano Camps, (2017), “Remote Sensing Using Global Navigation Satellite System Signals of Opportunity”, Introduction to Satellite Remote Sensing. 1st edition.

David A. Saftner, Roman D. Hryciw, Russell A. Green, Jerome P. Lynch, and Radoslaw L.Michalowski, (2008), “The Use of Wireless Sensors in Geotechnical Field Applications”, Proceedings of the 15th Annual Great Lakes Geotechnical/Geoenvironmental Conference,

Indianapolis, IN. Online Available : https://www.researchgate.net/publication/228549738_The_Use_of_Wireless_Sensors_in_Geotechnical_Field_Applications

Ramesh, Maneesha V., and Nirmala Vasudevan. “The deployment of deep-earth sensor probes for landslide detection.” Landslides 9.4 (2012): 457–474.

Devrim Akca, (2013) “Photogrammetric Monitoring of an Artificially Generated Shallow Landslide”, The Photogrammetric Record. Online Available:https://onlinelibrary.wiley.com/doi/abs/10.1111/phor.12016


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