IIT Gandhinagar develops model to assess heavy rainfall-induced damages in road networks – Education News

IIT Gandhinagar develops model to assess heavy rainfall-induced damages in road networks. Over the last few years, India has been facing the issue of severe infrastructural damage, casualties, and social-economic disruptions caused by highway flooding, landslides, and associated debris flows that follow incessant monsoon rainfall in different parts of the country.

Recently, Shri Nitin Gadkari, Minister for Road Transport and Highways, had directed key officials to solve highway-flooding issues that arise as a consequence of extreme rainfall events, which in turn cripple the country’s transportation systems every year.

A team of researchers from the Indian Institute of Technology Gandhinagar (IITGN) has been working on this crucial issue and has developed an integrated predictive model to accurately understand and assess the real magnitude of heavy rainfall-induced damages in road transport networks.This model can help administrators identify the ‘hotspots’ which should be reinforced and protected to solve highway-flooding issues and minimize the socio-economic disruptions.

The framework requires a high-resolution Digital Elevation Model (DEM) overlaid by the road network of the terrain and daily precipitation data to analyze the shallow landslides, debris flows, and a gauged reservoir discharge data for flood inundation.The results identify the least to most weak links (hotspot pixels) within a road network and help in deciding the locations of road segments that need strengthening, which in turn, can minimize the societal and economic disruptions during heavy rainfall emergencies.

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