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Grid based analysis of air pollution data

Mark Richards, Moustafa Ghanem, Michelle Osmond, Yike Guo, John Hassard

Journal Article
Ecological Modelling
March, 2006
Volume 194
Issues 1–3
pp.274–286
Elsevier
ISSN 0304-3800
DOI 10.1016/j.ecolmodel.2005.10.042
Abstract

In this paper, we present a distributed infrastructure based on Grid computing technology and data integration and mining tools to discuss the main informatics challenges that arise when a high-throughput sensor network is constructed to address real-time urban air pollution monitoring and mapping. We present the background to urban air pollution monitoring and modelling and describe the high-throughput sensors developed within this project to tackle the problem. We present a solution that addresses the informatics challenges based on the integration of distributed sensors, Grid technologies, data integration, data mining and GIS systems. We also present a case study for examining the effectiveness of visual and automated methods developed for the analysis of generated data sets.

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