Ozone Formation Sensitivity at Various Altitudes: Seeking the Optimal Method for Sensitivity Threshold Determination

Several methods exist for determining ozone formation sensitivity using observational data, each potentially yielding different sensitivity classifications. This study examined the seasonal characteristics of MAX-DOAS data collected from both urban and rural sites in the Beijing–Tianjin–Hebei region. A multiple linear regression model was employed to isolate secondary HCHO data. The thresholds derived from four distinct methods were assessed, and the performance of these methods was evaluated across various elevations at both sites. Based on the findings, recommendations and the applicable ranges for each method are provided.

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Publication Details

Journal
Environmental Science & Technology Letters
Published
2024-11-15
DOI
https://doi.org/10.1021/acs.estlett.4c00777
Citations
8
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
3.01

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article

Ozone Formation Sensitivity at Various Altitudes: Seeking the Optimal Method for Sensitivity Threshold Determination

Haochen Peng, Chengzhi Xing, Cheng Liu, Yikai Li et al.
8 citations
Environmental Science & Technology Letters
Atmospheric chemistry and aerosols
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article

Ozone Formation Sensitivity at Various Altitudes: Seeking the Optimal Method for Sensitivity Threshold Determination

Haochen Peng, Chengzhi Xing, Cheng Liu, Yikai Li, Qianqian Hong, Peinan Jiao, Zhijian Tang
article en
8 citations

Abstract

Several methods exist for determining ozone formation sensitivity using observational data, each potentially yielding different sensitivity classifications. This study examined the seasonal characteristics of MAX-DOAS data collected from both urban and rural sites in the Beijing–Tianjin–Hebei region. A multiple linear regression model was employed to isolate secondary HCHO data. The thresholds derived from four distinct methods were assessed, and the performance of these methods was evaluated across various elevations at both sites. Based on the findings, recommendations and the applicable ranges for each method are provided.

Environmental Science & Technology LettersVol. 11(12)
University of Science and Technology of China (CN), China Meteorological Administration (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Institute of Urban Environment (CN), Anhui Institute of Optics and Fine Mechanics (CN)
National Natural Science Foundation of China, National Outstanding Youth Foundation of China, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 8%
Atmospheric chemistry and aerosols
3.01
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