Monitoring, Analysis and Modelling of Ambient Air Quality Status at Indoshell Mould Ltd., Sidco, Coimbatore using Artificial Neural Network

Nowadays, the advancement in technologies and the industrial revolution has led to generation of tremendous amount of wastes thereby polluting the environment. The Air quality changes due to various activities taking place in the environment, but the most important factor is the growth of industries. The environment can incorporate only a limited amount of contaminates without any significant ill effects. However, when the amount of contaminants exceeds beyond the limits, significant effects are observed. This proposed paper focused on the prevailing air quality at Indoshell Mould Limited, SIDCO (Small Industrial Development Corporation) Industrial Estate, which is located at a distance of approximately 7 km from the Coimbatore city. The estate consists of more than 250 industries, both small and large scale industries. Emissions from these industries results in air pollution. The main aim of this project is to monitor and analyse the ambient air quality status for the concentration of air pollutants (PM10, PM2.5 and TSPM) and to develop a model for the Air Quality Indices using Artificial Neural Network (ANN). The concentration of PM10 was found to be exceeding its threshold value for few days during the monitoring period. In ANN, the error in the predicted values was less than 8%, indicating the developed model is perfect. The R2 value for this model is 0.9709.