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