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dc.contributor.authorLiu, Ren
dc.contributor.authorLiu, Jen
dc.contributor.authorZhang, Zen
dc.contributor.authorBorthwick, AGLen
dc.contributor.authorCai, Yen
dc.contributor.authorDong, Len
dc.contributor.authorDu, Xen
dc.date.accessioned2021-08-22T16:03:03Z
dc.date.available2021-08-22T16:03:03Z
dc.date.issued2018-11-01en
dc.identifier.issn1436-3240en
dc.identifier.urihttp://hdl.handle.net/10026.1/17689
dc.description.abstract

The number of airborne pollution accidents is second only to that of water-borne pollution accidents, in recorded environmental disasters. Acute casualties and public health costs have prompted many airborne pollution risk analyses. To date, few assessment methods have been carried out at regional-scale to quantify acute airborne pollution risk. Herein, a Hybrid Simulation and Risk Analysis approach, involving a systematic combination of simulation, risk ranking, and standardized analysis, is proposed at regional scale. Gaussian and heavy-gas models are utilized in the simulation process, and acute exposure limits preferentially adopted in the risk analysis. The case study shows that 34 of 243 townships in Zhangjiakou City of north China, one of the twin cities selected to host the 2022 Winter Olympics, are threatened by airborne risk sources. It is found that the accidental air pollution risk is comparatively higher in the Xuanhua and Wanquan conurbations. High-risk chemical enterprises (312–432 risk scores) are mostly located near urban areas with high population density where many people are vulnerable receptors to potential air pollution accidents. The resulting risk map indicates that acute airborne pollution from Zhangjiakou would not be a threat either to the proposed Olympic site at Chongli or to downwind Beijing.

en
dc.format.extent3257 - 3272en
dc.language.isoenen
dc.titleRisks of airborne pollution accidents in a major conurbation: case study of Zhangjiakou, a host city for the 2022 Winter Olympicsen
dc.typeJournal Article
plymouth.issue11en
plymouth.volume32en
plymouth.publication-statusPublisheden
plymouth.journalStochastic Environmental Research and Risk Assessmenten
dc.identifier.doi10.1007/s00477-018-1590-5en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.identifier.eissn1436-3259en
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.1007/s00477-018-1590-5en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.typeJournal Article/Reviewen


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