A Simulation-Based Modelling in Collating the Air Pollution of a Highly Commercialised Street – A Case of Mint Street, Chennai

Introduction: Mint Street in Chennai's crowded Sowcarpet neighborhood experiences extreme air pollution, with an AQI that regularly rises beyond 190. Dust, urbanization, and traffic jams exacerbate the problem and leave the area open to future deterioration. The effectiveness of green infrastructure options, including aeroponic gardening, algae farming, and green roofing, is evaluated in this study using ENVI-met software, which simulates current environmental conditions. This study aims to assess and reduce air pollution in Mint Street by applying a simulation-based method with ENVI-met software. Methods: To assess various mitigation techniques, the study uses ENVI-met software for scenario analysis, model calibration, and data gathering. The study looks at how vegetation cover, traffic emissions, and urban morphology affect air quality, with an emphasis on using green remedies to lower pollution. Results: The simulation findings demonstrate a significant decrease in pollutant levels following the installation of green infrastructure, with PM2.5 concentrations falling from 29.00 μg/m³ to 10 μg/m³ and PM10 concentrations falling from 74.00 μg/m³ to 35 μg/m³. Discussion: According to the results, green initiatives like aeroponics and algae systems considerably lower air pollution levels. The report highlights how green infrastructure can help reduce pollution and enhance urban air quality in crowded places like Mint Street. Conclusion: Green infrastructure integration is anticipated to provide a sustainable solution to urban air pollution by improving public health, reducing respiratory issues, and improving general comfort by lowering pollution levels.