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A Mobile Sensing System for Urban PM2.5 Monitoring with Adaptive Resolution
Joint Authors
Wu, Yifan
Guo, Hongjie
Dai, Guojun
Fan, Jin
Shen, Fangyao
Hu, Yidan
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-15
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper develops a mobile sensing system, the first system used in adaptive resolution urban air quality monitoring.
In this system, we employ several taxis as sensor carries to collect original PM2.5 data and collect a variety of datasets, including meteorological data, traffic status data, and geographical data in the city.
This paper also presents a novel method AG-PCEM (Adaptive Grid-Probabilistic Concentration Estimation Method) to infer the PM2.5 concentration for undetected grids using dynamic adaptive grids.
We gradually collect the measurements throughout a year using a prototype system in Xiasha District of Hangzhou City, China.
Experimental data has verified that the proposed system can achieve good performance in terms of computational cost and accuracy.
The computational cost of AG-PCEM is reduced by about 40.2% compared with a static grid method PCEM under the condition of reaching the close accuracy, and the accuracy of AG-PCEM is far superior as widely used artificial neural network (ANN) and Gaussian process (GP), enhanced by 38.8% and 14.6%, respectively.
The system can be expanded to wide-range air quality monitor by adjusting the initial grid resolution, and our findings can tell citizens actual air quality and help official management find pollution sources.
American Psychological Association (APA)
Guo, Hongjie& Dai, Guojun& Fan, Jin& Wu, Yifan& Shen, Fangyao& Hu, Yidan. 2016. A Mobile Sensing System for Urban PM2.5 Monitoring with Adaptive Resolution. Journal of Sensors،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1110614
Modern Language Association (MLA)
Guo, Hongjie…[et al.]. A Mobile Sensing System for Urban PM2.5 Monitoring with Adaptive Resolution. Journal of Sensors No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1110614
American Medical Association (AMA)
Guo, Hongjie& Dai, Guojun& Fan, Jin& Wu, Yifan& Shen, Fangyao& Hu, Yidan. A Mobile Sensing System for Urban PM2.5 Monitoring with Adaptive Resolution. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1110614
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110614