The University of Southampton
University of Southampton Institutional Repository

Analysis of air quality time series of Hong Kong with graphical modeling

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
1180-4009
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
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), 169-181. (doi:10.1002/env.2386).

Record type: Article

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.

Text
Enviro-Hu_et_al-2016-Environmetrics.pdf - Version of Record
Restricted to Repository staff only
Request a copy
Text
Analysis-graphical-model.pdf - Accepted Manuscript
Download (2MB)
Text
Supporting Information.pdf - Other
Download (941kB)

More information

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

Identifiers

Local EPrints ID: 390364
URI: http://eprints.soton.ac.uk/id/eprint/390364
ISSN: 1180-4009
PURE UUID: dd2d0ac7-8895-4313-8574-cfe47f704235
ORCID for Zudi Lu: ORCID iD orcid.org/0000-0003-0893-832X

Catalogue record

Date deposited: 24 Mar 2016 15:00
Last modified: 15 Mar 2024 05:27

Export record

Altmetrics

Contributors

Author: Fei Hu
Author: Zudi Lu ORCID iD
Author: Heung Wong
Author: Tsz P. Yuen

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×