Grid-based analysis of air pollution data

被引：46

作者：

Richards, M ^{[1
]}

Ghanem, M ^{[1
]}

Osmond, M ^{[1
]}

Guo, Y ^{[1
]}

Hassard, J ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, London SW7 2BW, England

来源：

ECOLOGICAL MODELLING | 2006年 / 194卷 / 1-3期

关键词：

sensor network; sensor grid; air pollution monitoring; data mining; e-science;

D O I：

10.1016/j.ecolmodel.2005.10.042

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

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. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：274 / 286

页数：13

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