Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101292
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorFei, Len_US
dc.creatorChan, LYen_US
dc.creatorBi, Xen_US
dc.creatorGuo, Hen_US
dc.creatorLiu, Yen_US
dc.creatorLin, Qen_US
dc.creatorWang, Xen_US
dc.creatorPeng, Pen_US
dc.creatorSheng, Gen_US
dc.date.accessioned2023-08-30T04:16:34Z-
dc.date.available2023-08-30T04:16:34Z-
dc.identifier.issn0169-8095en_US
dc.identifier.urihttp://hdl.handle.net/10397/101292-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2016 Elsevier B.V. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Fei, L., Chan, L. Y., Bi, X., Guo, H., Liu, Y., Lin, Q., ... & Sheng, G. (2016). Effect of cloud-to-ground lightning and meteorological conditions on surface NOx and O3 in Hong Kong. Atmospheric research, 182, 132-141 is available at https://doi.org/10.1016/j.atmosres.2016.07.021.en_US
dc.subjectCloud-to-ground lightningen_US
dc.subjectMeteorological conditionen_US
dc.subjectNitrogen oxidesen_US
dc.subjectOzoneen_US
dc.subjectPCA/APCSen_US
dc.titleEffect of cloud-to-ground lightning and meteorological conditions on surface NOx and O₃ in Hong Kongen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author’s file: "Cloud-to-ground lightning, meteorological conditions and surface NOx and O3 variation in relation to thunderstorm and lightning activities over Hong Kong"en_US
dc.identifier.spage132en_US
dc.identifier.epage141en_US
dc.identifier.volume182en_US
dc.identifier.doi10.1016/j.atmosres.2016.07.021en_US
dcterms.abstractCloud-to-ground (CG) lightning, meteorological conditions and corresponding surface nitrogen oxides (NOx) and ozone (O₃) variations in relation to thunderstorm and lightning activities over Hong Kong at Kwai Chung (urban), Tung Chung (new town) and Tap Mun (background) during active lightning seasons from 2009 to 2013 were studied by analyzing respective air quality monitoring station data along with CG lightning and meteorological data. We observed NOx enhancement and significant O₃ decline on lightning days. Influences of land use types, lightning activities and meteorological conditions on surface NOx and O₃ were examined. NOx and O₃ concentrations shifted towards higher and lower levels, respectively, during lightning days especially in the dominant wind directions. Principal component analysis/absolute principal component scores (PCA/APCS) method and stepwise multiple linear regression (MLR) analysis were employed to examine the influence of thunderstorm related lightning and meteorological parameters on surface NOx and O₃. Wind speed was supposed to be the most important meteorological parameter affecting the concentration of NOx, and lightning activities were observed to make a positive contribution to NOx. Negative contribution of hot, cloudy and wet weather and positive contribution of wind speed were found to affect the concentration of O₃. Lightning parameters were also found to make a small positive contribution to O₃ concentration at Tap Mun and Tung Chung, but the net effect of lightning activities and corresponding meteorological conditions was the decrease of O₃ on lightning days. Reasonably good agreement between the predicted and observed NOx and O₃ values indicates that PCA/APCS-MLR is a valuable method to study the thunderstorm induced NOx and O₃ variations.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAtmospheric research, 15 Dec. 2016, v. 182, p. 132-141en_US
dcterms.isPartOfAtmospheric researchen_US
dcterms.issued2016-12-
dc.identifier.scopus2-s2.0-84979753765-
dc.identifier.eissn1873-2895en_US
dc.description.validate202308 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-2403-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Chinese Academy of Sciences; Leading Talents Program of Guangdong Provinceen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6664223-
dc.description.oaCategoryGreen (AAM)en_US
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