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Landslide Detection and Avoidance System

EasyChair Preprint no. 10002

5 pagesDate: May 9, 2023


Landslides occur on downhill slopes. The Asian nations are the ones that experience landslides the most frequently. Gravity-induced rock mass or soil movements have an impact on both natural and human activities. Increased fluid mechanics pressure, rainwater saturation, snowmelt, an increase in the level of water, an increase in pressure of pore water, volcanic eruptions, and earthquakes are all-natural reasons for landslides. Deforestation, agriculture, mechanical vibrations, mine blasting, and other human activities are included. The stability of the slope is changed by an increase and decrease in shear stresses and shear strain respectively carried by the material. Landslides severely damage people's lives and property, necessitating observation and the development of early warning systems. An effort is undertaken to develop an inexpensive, reliable, and IOT-based landslide detection system. It is made up of an Arduino that is being exploited, moisture sensors, a Wi-Fi module, and vibration sensors. Important time information must be tracked, and when a landslide occurs, an SMS alert is delivered to the top user indicating its location.

Keyphrases: Android, Arduino, Landslide, moisture, vibration

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Prathamesh Deore and Aditya Desai and Shripad Bhatlawande},
  title = {Landslide Detection and Avoidance System},
  howpublished = {EasyChair Preprint no. 10002},

  year = {EasyChair, 2023}}
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