Year: 2025
Type: article
Abstract: Landslides pose a significant threat to regions with unstable terrain, particularly during monsoon seasons, with their frequency increasing due to climate change and unregulated urban development. Guwahati, a rapidly growing city in Assam, India, is particularly vulnerable, with several of its 18 surrounding hills prone to landslides. Given the rising number of landslide-related fatalities, an early warning system is crucial. Although landslide hazard zonation mapping for Guwahati city is available in the literature, it lacks the integration of an early warning system equipped with a decision-making framework. Such a system is necessary for timely responses, enabling the mitigation of risks to life and property. This paper presents an experimental model for a landslide early warning system in Guwahati, which utilizes soil moisture sensors integrated with an Internet of Things (IoT)-based platform to predict rainfall-induced landslide occurrences.
Authors: Madhushree Sharma, Shakuntala Laskar
Institution: Assam Don Bosco University
Language: English
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410188477