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is ?:annotates of
?:authorAffiliation
  • [\'State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.\', \'State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.\', \'State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China. Electronic address: hongjia@whu.edu.cn.\', \'Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, China; Electronic Information School, Wuhan University, Wuhan, China.\', \'School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.\', \'Electronic Information School, Wuhan University, Wuhan, China.\', \'Sinosteel Wuhan Safety & Environmental Protection Research Institute Co., Ltd., Wuhan, China.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S0269-7491(21)02365-410.1016/j.envpol.2021.118783
?:hasPublicationType
?:journal
  • Environmental pollution (Barking, Essex : 1987)
is ?:pmid of
?:pmid
?:pmid
  • 34974086
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • Improving PM2.5 predictions during COVID-19 lockdown by assimilating multi-source observations and adjusting emissions.
?:type
?:year
  • 2022

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