On the development of an intelligent system for particulate matter air pollution monitoring, analysis and forecasting in urban regions

Abstract

The paper presents details on the development of an intelligent system for particulate matter (PM) air pollution monitoring, analysis and forecasting in two pilot cities, Ploiesti and Targoviste, in selected areas near schools, kindergartens and pediatric hospitals. The main purpose of the system is to provide expert early warnings to protect children with health problems. An in-situ PM10, PM2.5 monitoring network was designed and an online PM2.5 monitoring network is under development for each city. Two case studies of PM air pollution analysis and forecast for the Ploiesti city are described. The PM air pollution analysis, forecasting, and children health impact analysis were made by using techniques from statistics and artificial intelligence.