Rainfall- Induced Landslide Susceptability Evaluation by Accounting the Influence of Vegetation
Implementing Organization
National Institute of Technology (NIT) Arunachal Pradesh
Principal Investigator
Shri Alak Majumdar
Assistant Professor, National Institute of Technology (NIT) Arunachal Pradesh
CO-Principal Investigator
Dr. (Mrs.) Kuntala Bhushan
North Eastern Space Applications Centre, ISRO, Shillong, Meghalaya
Project Overview
Vegetation plays a significant role in controlling the mechanical and hydrological characteristics of the soil slopes by controlling soil moisture and suction of the slope and thus influences its stability. Hence, there is a need to understand the influence of vegetation and unsaturated characteristics in the physics-based approach to improve the success rate of existing Rainfall triggered landslide Early Warning System (EWS). The present study thus focuses on the development of landslide EWS by considering the unsaturated soil characteristics and vegetation. The physics-based model will consider the moisture variations, evapotranspiration, leaf area index, hydraulic properties, and unsaturated shear strength. The changes in hydraulic and shear strength characteristics due to vegetation will be estimated by instrumenting the natural, vegetated slopes to develop physics-based EWS.
Achievements
The project being undertaken by ISRO in collaboration with academia is directly or indirectly beneficial to the society.
Source
Source
Indian Space Research Organisation (ISRO)- Department of Space (DOS) 2022-2037
National Institute of Technology (NIT) Arunachal Pradesh
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