Optimization of PM2.5 Estimation Using Landscape Pattern Information and Land Use Regression Model in Zhejiang, China

Optimization of PM2.5 Estimation Using Landscape Pattern Information and Land Use Regression Model in Zhejiang, China

The motivation of this paper is that the effect of landscape pattern information on the accuracy of particulate matter estimation is seldom reported. The landscape pattern indexes were incorporated in a land use regression (LUR) model to investigate the performance of PM2.5 simulation over Zhejiang...

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Bibliographic Details
Main Authors: Shan Yang, Haitian Wu, Jian Chen, Xintao Lin, Ting Lu
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Atmosphere
Subjects:
fine particulate matter (PM2.5)
land-use regression (LUR)
landscape pattern index
data-mining
concentration simulation
Online Access:http://www.mdpi.com/2073-4433/9/2/47

Internet

http://www.mdpi.com/2073-4433/9/2/47

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