Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104236
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorLi, Xen_US
dc.creatorGao, Zen_US
dc.creatorLi, Yen_US
dc.creatorGao, CYen_US
dc.creatorRen, Jen_US
dc.creatorZhang, Xen_US
dc.date.accessioned2024-02-05T08:47:23Z-
dc.date.available2024-02-05T08:47:23Z-
dc.identifier.issn1352-2310en_US
dc.identifier.urihttp://hdl.handle.net/10397/104236-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2018 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2018. 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 Li, X., Gao, Z., Li, Y., Gao, C. Y., Ren, J., & Zhang, X. (2019). Meteorological conditions for severe foggy haze episodes over north China in 2016–2017 winter. Atmospheric Environment, 199, 284–298 is available at https://doi.org/10.1016/j.atmosenv.2018.11.042.en_US
dc.subject2016–2017 winteren_US
dc.subjectFoggy haze episodesen_US
dc.subjectMeteorological conditionsen_US
dc.subjectNorth Chinaen_US
dc.titleMeteorological conditions for severe foggy haze episodes over north China in 2016–2017 winteren_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage284en_US
dc.identifier.epage298en_US
dc.identifier.volume199en_US
dc.identifier.doi10.1016/j.atmosenv.2018.11.042en_US
dcterms.abstractThis paper aims to identify the meteorological conditions of severe foggy haze events that frequently occurred over North China. We analyzed data collected at 162 ground observation stations operated by China Meteorological Administration (CMA), as well as data from National Centers Environmental Prediction (NCEP) over North China from December 1, 2016 to January 9, 2017. During this period, more than 72% of the regional mean atmospheric visibility was less than 10 km, with a minimum of 1.15 km. The analysis on atmospheric background fields revealed that during the pollution development-maintenance period there were southerlies and lower wind speed in the lower troposphere compared to that during the pollution dissipation period. Slow southerlies transported the southern pollutants to North China, while high pressure system at the 500 hPa level and increasing temperature (caused by air pollutant absorbed radiation) at 850 hPa suppressed the convection and led to pollutants accumulation over the ground. During the pollution dissipation period, there were northerlies and higher wind speed, and the fast northerlies quickly transported the pollutants. The analysis on the dynamic and thermodynamic effect suggests that the smaller horizontal wind vertical shear is attributed to 500 hPa decreased wind speed. The air pollutant warming effect on 850 hPa from absorbed solar radiation and cooling effect on near surface from reduced radiation near surface could lead to a larger correlation between atmospheric visibility and thermodynamic conditions for more than 76%. This coupling structure between air pollutant and thermodynamic situation provide favorable conditions for foggy haze events under air pollutant transport and weak vertical exchange conditions. Therefore, in order to predict foggy haze episodes in North China, we need to better understand its dynamics, especially for decreased middle level wind speed and lower level south flow.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAtmospheric environment, 15 Feb. 2019, v. 199, p. 284-298en_US
dcterms.isPartOfAtmospheric environmenten_US
dcterms.issued2019-02-15-
dc.identifier.scopus2-s2.0-85057076122-
dc.identifier.eissn1873-2844en_US
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0522-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key Research and Development Program of Ministry of Science and Technology of China;  National Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS14457655-
dc.description.oaCategoryGreen (AAM)en_US
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