Application of dynamically constrained interpolation methodology in simulating national-scale spatial distribution of pm2.5 concentrations in china

HIGHLIGHTS

  • who: Ning Li and collaborators from the of , Concentrations in China (CIMST), Ocean University of China, Qingdao, China have published the paper: Application of Dynamically Constrained Interpolation Methodology in Simulating National-Scale Spatial Distribution of PM2.5 Concentrations in China, in the Journal: Atmosphere 2021, 12, 272. of 11/Nov/2014
  • what: To reduce the complexity of the model and achieve the purpose of simulation the authors took the primary PM2.5 and secondary PM2.5 as a whole, calling it the "source and sink term" (SAST) without considering the specifics. The authors focus on . . .

     

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