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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