An integrated web-based air pollution decision support system – a prototype
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AbstractTo 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.
Acceptance Date31/03/2018
All Author(s) ListYee Leung, Kwong-Sak Leung, Man-Hon Wong, Terrence Mak, Kwan-Yau Cheung, Leung-Yau Lo, Wei-Ying Yi, Yuan-Lin Dong
Journal nameInternational Journal of Geographical Information Science
Volume Number32
Issue Number9
Pages1787 - 1814
LanguagesEnglish-United States

Last updated on 2020-06-08 at 03:52