Evangelin Ramani Sujatha|Venkataramana Sridhar
Landslide Susceptibility Analysis: A Logistic Regression Model Case Study in Coonoor, India
SASTRA University|Virginia Tech
landslides common geologic hazard disrupts social economic balance affected society therefore identifying zones prone landslides necessary safe living minimal disruption economic activities event hazard factors causing landslides often function local geoenvironmental setup need regionspecific study study evaluates site characteristics primarily altered anthropogenic activities understand identify various factors causing landslides coonoor taluk uthagamandalam district tamil nadu india studies landslide susceptibility show slope gradient aspect relative relief topographic wetness index soil type land use region influence slope instability rainfall characteristics also played significant role causing landslides logistic regression popular statistical tool used predictive analysis employed assess various selected factors impact landslide susceptibility factors weighted combined gis platform develop regions landslide susceptibility map region direct link natural physical systems hydrology humans sociohydrological perspective landslide susceptibility map derived using watersheds physical environmental conditions offers best tool planning developmental activities prioritizing areas mitigation activities region coonoor regions tourism agriculture sectors significantly benefit identifying zones prone landslides economic stability growth