Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80047
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dc.creatorLi, X-
dc.creatorFeng, YJ-
dc.creatorLiang, HY-
dc.date.accessioned2018-12-21T07:14:46Z-
dc.date.available2018-12-21T07:14:46Z-
dc.identifier.issn1755-1307-
dc.identifier.urihttp://hdl.handle.net/10397/80047-
dc.description2017 8th International Conference on Environmental Science and Technology, ICEST 2017, 12-14 June 2017en_US
dc.language.isoenen_US
dc.publisherInstitute of Physics Publishingen_US
dc.rightsContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltden_US
dc.rightsThe following publication Li, X., Feng, Y. J. & Liang, H. Y. (2017). The impact of meteorological factors on PM2.5 variations in Hong Kong. IOP conference series : earth and environmental science, 2017, 78(1), 12003, 1-11 is available at https://dx.doi.org/10.1088/1755-1315/78/1/012003en_US
dc.titleThe impact of meteorological factors on PM2.5 variations in Hong Kongen_US
dc.typeConference Paperen_US
dc.identifier.spage1-
dc.identifier.volume78-
dc.identifier.doi10.1088/1755-1315/78/1/012003-
dcterms.abstractThis paper aims to explore the impact of meteorological factors on PM2.5 concentrations in Hong Kong. The PM2.5 and meteorology data including temperature, pressure, rainfall, relative humidity (RH), wind speed and wind direction from January to December of 2013 were collected. The correlation analysis between PM2.5 and meteorological factors were conducted for each month and season. The meteorology data were classified into several intervals and the mean PM2.5 concentrations for each interval were calculated to see the tendency. According to the correlation analysis results, the PM2.5 concentrations have a positive relationship with pressure with correlation coefficients 0.507 while have negative relationships with temperature, RH, rainfall, wind speed with correlation coefficients -0.512, -0.237, -0.524, -0.284, respectively. In addition, the wind direction influence PM2.5 concentrations through affecting the spreading direction of PM2.5. The north wind in winter increased the PM2.5 in Hong Kong while the south wind in summer decrease the PM2.5. Therefore, the meteorological factors affect the aggregation, diffusion, spread of PM2.5. They have a leading impact on PM2.5 concentrations when the domestic emission stays stable.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIOP conference series : earth and environmental science, 2017, v. 78, no. 1, 12003, p. 1-11-
dcterms.isPartOfIOP conference series : earth and environmental science-
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85029064011-
dc.relation.conferenceInternational Conference on Environmental Science and Technology-
dc.identifier.artn12003-
dc.description.validate201812 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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