Non-Linear Response of PM<sub>2.5</sub> Pollution to Land Use Change in China

Non-Linear Response of PM<sub>2.5</sub> Pollution to Land Use Change in China

Land use change has an important influence on the spatial and temporal distribution of PM<sub>2.5</sub> concentration. Therefore, based on the particulate matter (PM<sub>2.5</sub>) data from remote sensing instruments and land use change data in long time series, the Getis-Or...

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Bibliographic Details
Main Authors: Debin Lu, Wanliu Mao, Wu Xiao, Liang Zhang
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
particulate matter (PM<sub>2.5</sub>)
land use change
non-linear
spatial regression model
Online Access:https://www.mdpi.com/2072-4292/13/9/1612

Internet

https://www.mdpi.com/2072-4292/13/9/1612

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