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- Q92957932 description "article scientifique publié en 2019" @default.
- Q92957932 description "artículu científicu espublizáu n'agostu de 2019" @default.
- Q92957932 description "im August 2019 veröffentlichter wissenschaftlicher Artikel" @default.
- Q92957932 description "scientific article published on 19 August 2019" @default.
- Q92957932 description "wetenschappelijk artikel" @default.
- Q92957932 description "наукова стаття, опублікована 19 серпня 2019" @default.
- Q92957932 name "Research on PM2.5 estimation and prediction method and changing characteristics analysis under long temporal and large spatial scale - A case study in China typical regions" @default.
- Q92957932 name "Research on PM2.5 estimation and prediction method and changing characteristics analysis under long temporal and large spatial scale - A case study in China typical regions" @default.
- Q92957932 type Item @default.
- Q92957932 label "Research on PM2.5 estimation and prediction method and changing characteristics analysis under long temporal and large spatial scale - A case study in China typical regions" @default.
- Q92957932 label "Research on PM2.5 estimation and prediction method and changing characteristics analysis under long temporal and large spatial scale - A case study in China typical regions" @default.
- Q92957932 prefLabel "Research on PM2.5 estimation and prediction method and changing characteristics analysis under long temporal and large spatial scale - A case study in China typical regions" @default.
- Q92957932 prefLabel "Research on PM2.5 estimation and prediction method and changing characteristics analysis under long temporal and large spatial scale - A case study in China typical regions" @default.
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- Q92957932 P31 Q92957932-A26C6C46-40F1-46B0-A13F-E57F889040BE @default.
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- Q92957932 P921 Q92957932-E1AD3315-64C5-41E6-A08C-3A1339CFC9DD @default.
- Q92957932 P356 J.SCITOTENV.2019.133983 @default.
- Q92957932 P698 31461697 @default.
- Q92957932 P1433 Q15766357 @default.
- Q92957932 P1476 "Research on PM2.5 estimation and prediction method and changing characteristics analysis under long temporal and large spatial scale - A case study in China typical regions" @default.
- Q92957932 P2093 "Luo Yi" @default.
- Q92957932 P2093 "Shi Yan" @default.
- Q92957932 P2093 "Teng Mengfan" @default.
- Q92957932 P2093 "Yang Kun" @default.
- Q92957932 P2093 "Zhang Miao" @default.
- Q92957932 P2093 "Zhou Xiaolu" @default.
- Q92957932 P2093 "Zhu Yu" @default.
- Q92957932 P304 "133983" @default.
- Q92957932 P31 Q13442814 @default.
- Q92957932 P356 "10.1016/J.SCITOTENV.2019.133983" @default.
- Q92957932 P478 "696" @default.
- Q92957932 P577 "2019-08-19T00:00:00Z" @default.
- Q92957932 P698 "31461697" @default.
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