Meteorology-based forecasting of air quality index using neural network

Air quality index (AQI), a system for transforming air pollution levels into a single number, aims at providing information about air quality in simple terms to general public. Any advance information about AQI can forewarn the public of unhealthy air and encourage people to voluntarily reduce emissions-producing activities and avoid exposures to polluted environment. Two mathematical models (i) meteorology-based air quality level predictions and (ii) meteorology forecasting, have been developed (based on four year data) using neural network to forecast AQI for following three days. The AQI forecasting model was concluded as being satisfactory and useful for information dissemination to general public.