Predict the particulate matter concentrations in 128 cities of China

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dc.cclicenceCC-BY-NCen
dc.contributor.authorMeng, Dun
dc.contributor.authorXu, Zhicun
dc.contributor.authorWu, Lifeng
dc.contributor.authorYang, Yingjie
dc.date.acceptance2020-03-19
dc.date.accessioned2020-07-07T09:17:41Z
dc.date.available2020-07-07T09:17:41Z
dc.date.issued2020-03-26
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractTo predict the concentrations of PM2.5 and PM10 in the 128 cities of China, the discrete grey prediction model with fractional order accumulation (DFGM(1,1)) was used to predict the annual average PM2.5 and PM10 concentrations from 2019 to 2023. The result is as following: the annual average PM2.5 concentrations of Xi'an, Xuzhou, Ordos, Jingmen, Meizhou, Huizhou, Panzhihua, Kunming, Jixi and Yichun are increasing from 2019 to 2023. The annual average PM2.5 concentrations in the 118 other cities are decreasing from 2019 to 2023. While the annual average PM10 concentrations of Taiyuan, Ordos, Dongguan, Karamay, Foshan, Yichun, Qitaihe, Jinzhou and Heihe are increasing from 2019 to 2023. The annual average PM10 concentrations in the 119 other cities are decreasing from 2019 to 2023.en
dc.funderNo external funderen
dc.funder.otherRoyal Societyen
dc.identifier.citationMeng, D., Xu, Z., Wu, L. and Yang, Y. (2020) Predict the particulate matter concentrations in 128 cities of China. Air Quality, Atmosphere & Health,13, pp. 399–407.en
dc.identifier.doihttps://doi.org/10.1007/s11869-020-00819-5
dc.identifier.issn1873-9318
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/19942
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidIEC\NSFC\170391en
dc.publisherSpringeren
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectPM2.5en
dc.subjectPM10en
dc.subjectgrey prediction model with fractional order accumulationen
dc.subjectbuffer operatorsen
dc.subjectGrey Wolf Optimizeren
dc.titlePredict the particulate matter concentrations in 128 cities of Chinaen
dc.typeArticleen

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