Analysis of air quality time series of Hong Kong with graphical modeling
Analysis of air quality time series of Hong Kong with graphical modeling
Identifying the interaction of air pollutants in each monitoring station and the inter-relationship between pollutants at different stations is an important issue in the management and control of air quality and pollutants. In this paper, a graphical model is utilized to analyze the air pollution in Hong Kong using the daily air pollution data from the three monitoring stations located at Tsuen Wan, Tap Mun, and Tung Chung in Hong Kong. The model follows broadly a spectral analytic method, for determining the edges of a graph. The method extends a graphical model for analyzing multivariate data to multivariate time series, and in our case, it is applied to time series over different spatial locations. We adopt the graphical model for time series to investigate the inter-relationship of air pollutants at the three stations in Hong Kong and the interaction between pollutants among the stations. The results obtained have good interpretations in terms of both geographical locations and chemistry.
graphical model, partial coherence, air quality monitoring stations, air pollutants in hongkong, var model
169-181
Hu, Fei
631abd8f-c9fa-46de-a9b7-2eb48bd67094
Lu, Zudi
4aa7d988-ac2b-4150-a586-ca92b8adda95
Wong, Heung
e44ff767-7b1d-4c3b-9690-1fabbca0f599
Yuen, Tsz P.
85a873f2-f4cc-4286-a629-4a701cf2718f
May 2016
Hu, Fei
631abd8f-c9fa-46de-a9b7-2eb48bd67094
Lu, Zudi
4aa7d988-ac2b-4150-a586-ca92b8adda95
Wong, Heung
e44ff767-7b1d-4c3b-9690-1fabbca0f599
Yuen, Tsz P.
85a873f2-f4cc-4286-a629-4a701cf2718f
Hu, Fei, Lu, Zudi, Wong, Heung and Yuen, Tsz P.
(2016)
Analysis of air quality time series of Hong Kong with graphical modeling.
Environmetrics, 27 (3), .
(doi:10.1002/env.2386).
Abstract
Identifying the interaction of air pollutants in each monitoring station and the inter-relationship between pollutants at different stations is an important issue in the management and control of air quality and pollutants. In this paper, a graphical model is utilized to analyze the air pollution in Hong Kong using the daily air pollution data from the three monitoring stations located at Tsuen Wan, Tap Mun, and Tung Chung in Hong Kong. The model follows broadly a spectral analytic method, for determining the edges of a graph. The method extends a graphical model for analyzing multivariate data to multivariate time series, and in our case, it is applied to time series over different spatial locations. We adopt the graphical model for time series to investigate the inter-relationship of air pollutants at the three stations in Hong Kong and the interaction between pollutants among the stations. The results obtained have good interpretations in terms of both geographical locations and chemistry.
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Accepted/In Press date: 18 January 2016
e-pub ahead of print date: 1 March 2016
Published date: May 2016
Keywords:
graphical model, partial coherence, air quality monitoring stations, air pollutants in hongkong, var model
Organisations:
Statistics
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Local EPrints ID: 390364
URI: http://eprints.soton.ac.uk/id/eprint/390364
ISSN: 1180-4009
PURE UUID: dd2d0ac7-8895-4313-8574-cfe47f704235
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Date deposited: 24 Mar 2016 15:00
Last modified: 15 Mar 2024 05:27
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Author:
Fei Hu
Author:
Heung Wong
Author:
Tsz P. Yuen
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