Landslide prediction and early warning system (LPEWS) in the regions of coonoor.

Landslide is a sudden slide of rock, debris and earth down the slope. Coonoor region is one of the worst affected places subjected to landslides due to the heavy rainfall. Soil moisture content, pore-water pressure, slope angles are some of the factors that paves the way for these landslide events. On prediction of soil moisture content and vibrational movements in the soil by incorporation of sensors can caution the traffic, which can ensure the life safety in prior. This research deals with the development of one such sensor based warning system that can predict the soil failure. Investigation was carried out on the soil samples collected from the area of study to assess the index and engineering properties of the soil. Nine different models of a hill profile was made by varying the wetting depth at 1/4th, half and 3/4th of the profile height to predict the landslide. Finite Element Analysis (FEA) of the models were done in PLAXIS 2D software. The critical surface for the slope was drawn graphically using Bishop Method of slices and the same was checked for its best fit using R2 linear regression analysis. The analysis results conveys that the increment in pore-water pressure leads to a larger deformation and a decrement in Factor of Safety (FOS) for different slope conditions considered. Experimental prototype is made and the sensor fixing position for achieving higher degree of accuracy are arrived based on the displacement contours from the simulated models. These sensors were found to be effective in the prediction of soil failure. [ABSTRACT FROM AUTHOR]