RainScope: Rooftop Rainwater Harvesting Assessment and Artificial Recharge App

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Authors: Adarsh Pratap Singh Gurjar, Keshav Sharma, Tanish Gupta, Kalind Bhusari, Nisha Rathi, Ashish Anjana
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Abstract

In India, where water levels are steadily declining in about 78% of districts, groundwater depletion has become a significant environmental concern.There isn't a straightforward, user-friendly digital assessment tool for Rooftop Rainwater Harvesting (RTRWH) and Artificial Recharge, despite government initiatives and guidelines.By offering a web and mobile application for on-site evaluation of rooftop rainwater harvesting potential and artificial recharge feasibility, the suggested system RainScope fills this gap.The system uses GIS-based data, rainfall datasets, and algorithmic models to generate detailed outputs, including rainfall-runoff potential, aquifer characteristics, recharge structure recommendations, cost estimation, and feasibility rating, based on basic inputs such as location, roof area, number of residents, and open space.RainScope, which supports a number of regional languages, encourages sustainable and data-driven water management practices by raising public awareness and encouraging participation in groundwater conservation.

Fields of Study & Subjects

Urban Stormwater Management Solutions Groundwater and Watershed Analysis Hydrological Forecasting Using AI

Publication details

Journal / source
International Journal of Advancement and Innovation in Technology and Research
Volume
3
Issue
1
Pages
217–220
Publication date
1 January 2026