Application of Dynamically Constrained Interpolation Methodology in Simulating National-Scale Spatial Distribution of PM<sub>2.5</sub> Concentrations in China

Application of Dynamically Constrained Interpolation Methodology in Simulating National-Scale Spatial Distribution of PM<sub>2.5</sub> Concentrations in China

Numerous studies have revealed that the sparse spatiotemporal distributions of ground-level PM<sub>2.5</sub> measurements affect the accuracy of PM<sub>2.5</sub> simulation, especially in large geographical regions. However, the high precision and stability of ground-level PM...

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Bibliographic Details
Main Authors:	Ning Li, Junli Xu, Xianqing Lv
Format:	Article
Language:	English
Published:	MDPI AG 2021-02-01
Series:	Atmosphere
Subjects:	ground-level PM<sub>2.5</sub> simulation dynamically constrained interpolation methodology PM<sub>2.5</sub> transport model kriging interpolation orthogonal polynomial fitting chebyshev basis functions
Online Access:	https://www.mdpi.com/2073-4433/12/2/272

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