Estimation of air quality index (AQI) in and around municipal solid waste (MSW) dump yard using artificial intelligence (AI) in India

Abstract

Many different technical, meteorological, environmental, demographic, economic, and legislative issues are taken into consideration while developing and implementing systems for solid waste management. Understanding such complex nonlinear systems is challenging. In the city of Chennai at Tamil Nadu, where the solid waste management is a major concern for people’s health and where many new technologies are being implemented, environmental management is still inadequate. The purpose of this research is to apply the waste recycle management (WARM) to analyze potential futures and choose the most viable strategies for the long-term management of MSW in the Chennai metropolitan area (Tamil Nadu, South India). The life cycle assessment studies for Chennai City’s municipal solid waste management system show that landfilling and transportation emissions harm the environment. The sensitivity analysis to look how changing recycling rates influenced our ability to employ landfilling, composting, anaerobic digestion and etc.,. Based on the sensitivity analysis findings, impact categories and waste recycling are incompatible with one another. Additionally, the air quality in Chennai has drastically deteriorated due to all of the garbage dumps. Understanding how air quality is managed in various urban zones is vital, since this may have far-reaching consequences.