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Although remote sensing has been improved by techniques such as regional correlations in recent years, several studies indicate that spatial interpolation is a powerful approach to replace the inversion method, leading to higher accuracy than remote sensing data in reflecting PM2.5 concentrations at near-ground level [40, 54, 64–67].
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