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Characterization of haze episodes and factors contributing to their formation using a panel model
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文摘

Dynamic panel model was applied to the PM2.5 study.

Strong lag effect and neighbor effect were found of the daily PM2.5 pollution.

Natural and anthropogenic factors dominated the daily and annual PM2.5, respectively.

The simple dynamic panel model can well predict annual PM2.5 changes on city scale.

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