Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7420
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dc.contributor.authorLeung, Yeeen_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorWong, Man-Hongen_US
dc.contributor.authorMak, Terrenceen_US
dc.contributor.authorCheung, Kwan-Yauen_US
dc.contributor.authorLo, Leung-Yauen_US
dc.contributor.authorYi, Wei-Yingen_US
dc.contributor.authorDong, Yuan-Linen_US
dc.date.accessioned2023-02-22T08:44:18Z-
dc.date.available2023-02-22T08:44:18Z-
dc.date.issued2018-
dc.identifier.citationInternational Journal of Geographical Information Science,2018, vol. 32(9), pp. 1787-1814en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7420-
dc.description.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.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Geographical Information Scienceen_US
dc.titleAn integrated web-based air pollution decision support system – a prototypeen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1080/13658816.2018.1460752-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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