Towards a flood-free ahmedabad: optimizing drainage and community engagement for waterlogging mitigation

Abstract

Ahmedabad suffers from perennial water logging during monsoons, causing transport disruptions, infrastructure damage, and public inconvenience. This study attempts to quantify drainage efficiency through statistical estimation, predictive modelling, and cluster analysis to determine high-risk wards and suggest measures. The project combines geographical information system (GIS) mapping, socio-economic analysis, and community outreach to deliver an integrated solution to waterlogging alleviation. The deliverables are risk maps, predictive models, financial viability analysis, and a local campaign.