DocumentCode :
1782478
Title :
Improving air pollution forecast with ubiquitous mobile sensor network
Author :
Ke Hu ; Rahman, Aminur ; Sivaraman, Vijay ; Ray, Priyadip
Author_Institution :
Asia Pacific Ubiquitous Healthcare Res. Centre, UNSW, Sydney, NSW, Australia
fYear :
2014
fDate :
8-11 July 2014
Firstpage :
405
Lastpage :
406
Abstract :
Recently, high spatial resolution is increasingly needed in air pollution forecast by governments and climatologists. However, data from fixed monitoring sites cannot meet these requirements. In this paper, we present a hybrid spatio-temporal model to improve the air quality forecast capacity with fine grid data from ubiquitous mobile sensor network.
Keywords :
air pollution; air quality; climatology; environmental science computing; ubiquitous computing; wireless sensor networks; air pollution forecast; air quality forecast capacity; climatologists; fine grid data; fixed monitoring sites; hybrid spatio-temporal model; spatial resolution; ubiquitous mobile sensor network; Air pollution; Atmospheric modeling; Data models; Forecasting; Mobile communication; Monitoring; Predictive models; air quality; mobile apps; ubiquitous sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/ICUFN.2014.6876823
Filename :
6876823
Link To Document :
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