An Air Quality Index (AQI) Prediction of Ujjain City with the Help of LM Algorithm Based Intelligent Model using Matlab Software

Abstract

Due to exponential rise in urbanization and industrial revolution across the globe, air pollution has been one of the prominent environmental threats. Different pollutants such as SO2, NO2 etc. which are produced due to different industrial processes and mobilities’ ICE leads to threatening life expectancies of all living beings. Inhaling pollution has many hazardous health affects which are well known to all. Thus, it became very crucial in today’s time to have prior information about air quality index (AQI) of any location so as to take appropriate actions in advance. This work presents the design of an intelligent machine learning system for prediction of the air pollution. LM algorithm is proposed for predicting AQI of Ujjain city using NO2 and SO2 as input parameters. The daily pollution predication gained for Ujjain city is used for training and testing of the models. The proposed model has been tested with different parameters of the pollution from Ujjain regions in order to estimate the performances and reliabilities of the models. The simulation results show that the LM model predicted output match with the actual data in good accuracy. As a result of simulations of the model it was found that the MAPE for testing data is 7.8%. The results show that the LM model is fitted and suitable and acceptable for prediction of the air pollution.