A Solution for Air Quality Monitoring and Forecasting

Abstract

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.