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postgraduate thesis: Air pollution monitoring, forecasting, and causal pathway identification with spatio-temporal (ST) urban big data

TitleAir pollution monitoring, forecasting, and causal pathway identification with spatio-temporal (ST) urban big data
Authors
Zhu, Yixuan朱益萱
Issue Date2016
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Zhu, Y. [朱益萱]. (2016). Air pollution monitoring, forecasting, and causal pathway identification with spatio-temporal (ST) urban big data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeDoctor of Philosophy
SubjectAir - Pollution
Dept/ProgramElectrical and Electronic Engineering
Persistent Identifierhttp://hdl.handle.net/10722/235851
HKU Library Item IDb5796249

 

DC FieldValueLanguage
dc.contributor.authorZhu, Yixuan-
dc.contributor.author朱益萱-
dc.date.accessioned2016-11-09T23:26:49Z-
dc.date.available2016-11-09T23:26:49Z-
dc.date.issued2016-
dc.identifier.citationZhu, Y. [朱益萱]. (2016). Air pollution monitoring, forecasting, and causal pathway identification with spatio-temporal (ST) urban big data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/235851-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshAir - Pollution-
dc.titleAir pollution monitoring, forecasting, and causal pathway identification with spatio-temporal (ST) urban big data-
dc.typePG_Thesis-
dc.identifier.hkulb5796249-
dc.description.thesisnameDoctor of Philosophy-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineElectrical and Electronic Engineering-
dc.description.natureabstract-
dc.identifier.mmsid991028607169703414-

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