Meteorological impacts on surface ozone: A case study based on Kolmogorov–Zurbenko filtering and multiple linear regression

Meteorological impacts on surface ozone: A case study based on Kolmogorov–Zurbenko filtering and multiple linear regression

Ozone variation, excluding meteorological effects, is very important to assess the effects of air pollution control policies. In this study, the Kolmogorov-Zurbenko (KZ) filter method and multiple linear stepwise regression are combined to study the impact of meteorological parameters on ozone conce...

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Bibliographic Details
Main Authors: Menghui Li, Chunmei Geng, Liming Li, Zhensen Zheng, Bo Xu, Wen Yang, Xinhua Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Environmental Science
Subjects:
ozone
KZ filter
meteorological conditions
multiple linear regression
Monte Carlo simulation
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.1081453/full

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