DBPapers
DOI: 10.5593/SGEM2016/B42/S19.043

DEVELOPING A CYBERINFRASTRUCTURE FOR AIR QUALITY MANAGEMENT IN AN URBAN ENVIRONMENT

S. Iordache, D. Dunea, C. Ianache, L. Predescu, M. Predescu
Wednesday 7 September 2016 by Libadmin2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-64-3 / ISSN 1314-2704, June 28 - July 6, 2016, Book4 Vol. 2, 331-338 pp

ABSTRACT
The impact of air pollution such as particulate matter (PM) on human health has been widely presented in literature. An efficient management of air quality requires the acquisition and analysis of various types of data that are usually collected at regional, national, and international levels by various governmental agencies or by researchers from academia and private sector. In this context, both scientists and authorities need to use the capabilities of an advanced cyberinfrastructure (CI) that facilitates a better understanding of air pollution processes, knowledge sharing, visualization, interaction and collaboration in multiple ways. The present work describes the contribution on developing a CI for air quality management, in an urban-industrial area located in South-East of Romania, covering two cities, Ploiesti and Targoviste, having in view the relationship between the presence of various air pollutants and increasing of adverse effects on children health. This CI was developed as a main result of ROkidAIR research project funded by European Economic Area Grants and allows the examining of the trends in ambient air quality, especially in the city of Ploiesti, which is under the emissions’ impact of petrochemical industry and heavy traffic. The project aims to improve the urban air quality monitoring and forecasting activities, focusing on particulate matter effects on children’s health. The ROkidAIR cyberinfrastructure provides early warnings concerning the particulate matter (PM) levels, tailored to the end-user requirements via several communication channels. Data are obtained from a self-developed monitoring network system, based on several PM micro-stations and artificial intelligence forecasting algorithms designed within the project.

Keywords: cyberinfrastructure, air quality, monitoring system, respiratory health