A Solution for Air Quality Monitoring and Forecasting

Air quality monitoring is shifting towards more personalized means of data collection, trading accuracy for size and cost. In this paper, we introduce a concept solution for air quality monitoring composed of wearable sensing devices, methods of storing and computing the data and a web portal for visualizing the data. We present an analysis of the correlations between different air parameters, as well as a comparison between two multiple linear regression forecasting models for Nitrogen Dioxide (NO2) next-hour concentration prediction.