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An integrated web-based air pollution decision support system – a prototype

An integrated web-based air pollution decision support system – a prototype
An integrated web-based air pollution decision support system – a prototype

To efficiently and effectively monitor and mitigate air pollution in the urban environment, it is of paramount importance to integrate into a unified whole air pollutant concentration databases coming from different sources including the ground-based stations, mobile sensors, remote sensing, atmospheric-chemical-transport models and social media for the analysis and unraveling of the complex air pollution processes in space and time. This study constructs and implements for the first time a prototype of the fully integrated air pollution decision support system (APDSS) that put together in an integrated manner all relevant multi-scale, multi-type and multi-source data for decision-making on urban air pollution. The prototype contains the main system that handles the multi-source, multi-type and multi-scale databases, queries, visualization and data mining algorithms and the integrated modules that individually and holistically capitalize on the power of the ground-based stations, ground and aerial mobile sensors, satellite-borne remote-sensing technologies, atmospheric-chemical-transport models and social media. It renders a solid scientific foundation and system development methodology for the study of the spatiotemporal air pollution profiles crucial to the mitigation of urban air pollution. Real-life applications of the prototype are employed to illustrate the functionality of the APDSS.

air pollution, Decision support system, GIS
1365-8816
1787-1814
Leung, Yee
3c91651b-9061-44ad-9b31-ea21a80bf70a
Leung, Kwong Sak
625abae1-2477-466a-9dc6-de008ddeb12d
Wong, Man Hong
c438d9a8-de29-4b1d-8a9d-a201729bc0be
Mak, Terrence
0f90ac88-f035-4f92-a62a-7eb92406ea53
Cheung, Kwan Yau
5143c0db-ec1b-45ef-b015-e85e21cd0b7e
Lo, Leung Yau
29558618-f17b-4c6f-bde6-b8a043f55fd9
Yi, Wei Ying
73695e97-98fb-4794-99ea-b388f0f902d0
Dong, Yuan Lin
6e549f32-8400-4d0b-a4a2-44335674393d
Leung, Yee
3c91651b-9061-44ad-9b31-ea21a80bf70a
Leung, Kwong Sak
625abae1-2477-466a-9dc6-de008ddeb12d
Wong, Man Hong
c438d9a8-de29-4b1d-8a9d-a201729bc0be
Mak, Terrence
0f90ac88-f035-4f92-a62a-7eb92406ea53
Cheung, Kwan Yau
5143c0db-ec1b-45ef-b015-e85e21cd0b7e
Lo, Leung Yau
29558618-f17b-4c6f-bde6-b8a043f55fd9
Yi, Wei Ying
73695e97-98fb-4794-99ea-b388f0f902d0
Dong, Yuan Lin
6e549f32-8400-4d0b-a4a2-44335674393d

Leung, Yee, Leung, Kwong Sak, Wong, Man Hong, Mak, Terrence, Cheung, Kwan Yau, Lo, Leung Yau, Yi, Wei Ying and Dong, Yuan Lin (2018) An integrated web-based air pollution decision support system – a prototype. International Journal of Geographical Information Science, 32 (9), 1787-1814. (doi:10.1080/13658816.2018.1460752).

Record type: Article

Abstract

To efficiently and effectively monitor and mitigate air pollution in the urban environment, it is of paramount importance to integrate into a unified whole air pollutant concentration databases coming from different sources including the ground-based stations, mobile sensors, remote sensing, atmospheric-chemical-transport models and social media for the analysis and unraveling of the complex air pollution processes in space and time. This study constructs and implements for the first time a prototype of the fully integrated air pollution decision support system (APDSS) that put together in an integrated manner all relevant multi-scale, multi-type and multi-source data for decision-making on urban air pollution. The prototype contains the main system that handles the multi-source, multi-type and multi-scale databases, queries, visualization and data mining algorithms and the integrated modules that individually and holistically capitalize on the power of the ground-based stations, ground and aerial mobile sensors, satellite-borne remote-sensing technologies, atmospheric-chemical-transport models and social media. It renders a solid scientific foundation and system development methodology for the study of the spatiotemporal air pollution profiles crucial to the mitigation of urban air pollution. Real-life applications of the prototype are employed to illustrate the functionality of the APDSS.

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More information

Accepted/In Press date: 31 March 2018
e-pub ahead of print date: 27 April 2018
Keywords: air pollution, Decision support system, GIS

Identifiers

Local EPrints ID: 424886
URI: http://eprints.soton.ac.uk/id/eprint/424886
ISSN: 1365-8816
PURE UUID: dcc59736-5cee-4c7a-a81f-3663055bed88

Catalogue record

Date deposited: 05 Oct 2018 11:52
Last modified: 26 Apr 2022 17:16

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Contributors

Author: Yee Leung
Author: Kwong Sak Leung
Author: Man Hong Wong
Author: Terrence Mak
Author: Kwan Yau Cheung
Author: Leung Yau Lo
Author: Wei Ying Yi
Author: Yuan Lin Dong

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