Author(s): SS Jadhav, SD Gayakwad, Dr. PR Kolhe, Dr. HN Bhange, VD Jadhav, Dr. PB Bansode, MH Tharkar, Dr. AR Patil and GG Kadam

Abstract: Water scarcity is a pressing issue worldwide, and sustainable solutions are crucial for addressing this challenge. This study investigates the potential of a rooftop rainwater harvesting system (RRWHS) for the CAET building at Dapoli, employing soft computing techniques to enhance the system's efficiency and effectiveness. The research involved a detailed analysis of 20 years of rainfall data (1994-2024) collected from the meteorological observatory of the Department of Agronomy, CAET, DBSKKV, Dapoli. Key parameters such as roof catchment area, runoff volume, and time of concentration were meticulously calculated. The findings indicate substantial potential for water collection, with estimated runoff volumes of 3214.20 m³ for Phase I and 3854.25 m³ for Phase II. The time of concentration for both phases supports the system's rapid collection capability. Factors such as roof material, rainfall intensity, roof slope, and runoff coefficient were identified as significant influencers of the RRWHS efficiency. The study also included the design of storage tanks with capacities aligned with the runoff estimates and the calculation of optimal transportation pipe diameters to ensure efficient water flow.To manage the collected data and system operations, a robust software solution was developed using ASP.NET with C# language and Microsoft Visual Studio Version 2022, with Microsoft SQL Server 2022 as the backend. This software ensures secure, accurate, and user-friendly data management, enhancing the overall functionality of the RRWHS.

DOI: 10.33545/26174693.2024.v8.i7k.1624