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@article{198997,
        author = {Divya Bhavlal Patil and Rutuja Dipak Wankhade and Dewanshi Nana Mahajan and Vishal Chhotu Patil and Ashwini Nagorao Gore},
        title = {Modelling & Analysis of Porous Pavement with Automatic Drainage Control for Urban Flood Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {14485-14493},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198997},
        abstract = {Urban flooding poses a significant and increasing threat to cities worldwide, occurs due to rapid urbanization, expanding impermeable surfaces, and Escalating precipitation events due to climate change. Conventional urban drainage systems (CUDS) are increasingly inadequate to manage the resulting increases in surface runoff volumes and peak flow discharge. This research presents the modelling and analysis of an integrated porous pavement system with automated drainage control for urban flood management, using Hindmata, Mumbai a chronically flood-prone low-lying junction as the Focus area. Porous pavement specimens were prepared at two cement-to-aggregate ratios 1:3 and 1:4 with a water-cement ratio of 0.35(As per reference), and their compressive strength and infiltration characteristics were evaluated. The 1:3 mix achieved a higher 28-day compressive strength of 11.2 N/mm² and lower permeability, whereas the 1:4 mix achieved a lower 28-days compressive strength of 8.1 N/mm² and higher permeability due to its increased void content. A five-year monsoon precipitation dataset (2021–2025) was acquired from the NASA POWER database, and the peak event of 161.68 mm/hr on 4 July 2022 was identified as the design storm. The SCS-CN method was employed to develop unit hydrographs for runoff estimation. An automated drainage control prototype was developed using a tipping bucket rain gauge (TBRG) and Arduino-based control logic: during high-intensity rainfall, a servo-actuated drain gate diverts excess water to groundwater recharge systems, while during low-intensity events, the gate remains closed to allow natural infiltration through the porous pavement. Results demonstrate that the integrated system effectively reduces surface runoff (15 to 25%), and promotes sustainable groundwater recharge. The study also identifies clogging as a key limitation affecting long-term pavement permeability and recommends periodic maintenance strategies. This research contributes a practical, low-cost, and scalable framework combining green infrastructure with smart control technology for flood-resilient urban drainage design.},
        keywords = {},
        month = {April},
        }