[Estimation of Regional Background Ozone in Henan Province from 2019 to 2021].

Clarifying the regional transmission and local generation contributions of ozone (O<sub>3</sub>) is important for controlling O<sub>3</sub> pollution. To quantify the regional background and spatial-temporal variations of O<sub>3</sub>, a comprehensive study was conducted using multiple methods including principal component analysis (PCA) and TCEQ, with Henan Province as a case study. Based on monitoring data from 59 national sites in Henan Province during 2019-2021, four methods were employed to estimate the regional background of O<sub>3</sub>. Method 1 was the traditional method, performing O<sub>3</sub> univariate-multisite PCA analysis. Method 2 was a multivariate-single-site PCA analysis considering nitrogen dioxide and meteorological conditions as constraints. Method 3 combined PCA and multiple linear regression (MLR) to determine regional background contributions, drawing on the idea of source apportionment. Method 4 was the TCEQ method that used the lowest measured O<sub>3</sub>-8h concentration as the regional background. The estimation results showed that Methods 1 and 2 were basically equal, and Methods 3 and 4 were approximately 37-60 μg·m<sup>-3</sup> lower than Method 1. From 2019 to 2021, the changes in regional background <i>ρ</i>(O<sub>3</sub>-8h) estimated by Methods 1-4 were 1.6, -13.4, 5.9, and -3.5 μg·m<sup>-3</sup>, respectively. The average estimations derived from multiple methods showed that the regional background <i>ρ</i>(O<sub>3</sub>-8h) in Henan Province from 2019 to 2021 concentrations were 82.0, 79.0, and 79.7 μg·m<sup>-3</sup>, accounting for 75.9%, 76.4%, and 78.7% of the total regional O<sub>3</sub>-8h, respectively. The regional background O<sub>3</sub>-8h estimated by the four methods showed obvious seasonal changes, characterized by summer &gt; spring &gt; fall &gt; winter.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2024-08-08
DOI
https://doi.org/10.13227/j.hjkx.202308191
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

[Estimation of Regional Background Ozone in Henan Province from 2019 to 2021].

Dan Yao, Jiqiang Niu, Fangcheng Su, Hang Liu et al.
PubMed
Air Quality Monitoring and Forecasting
article

[Estimation of Regional Background Ozone in Henan Province from 2019 to 2021].

Dan Yao, Jiqiang Niu, Fangcheng Su, Hang Liu, Jun Yan, Xiaoyong Liu, Junhui Yan
article en

Abstract

Clarifying the regional transmission and local generation contributions of ozone (O<sub>3</sub>) is important for controlling O<sub>3</sub> pollution. To quantify the regional background and spatial-temporal variations of O<sub>3</sub>, a comprehensive study was conducted using multiple methods including principal component analysis (PCA) and TCEQ, with Henan Province as a case study. Based on monitoring data from 59 national sites in Henan Province during 2019-2021, four methods were employed to estimate the regional background of O<sub>3</sub>. Method 1 was the traditional method, performing O<sub>3</sub> univariate-multisite PCA analysis. Method 2 was a multivariate-single-site PCA analysis considering nitrogen dioxide and meteorological conditions as constraints. Method 3 combined PCA and multiple linear regression (MLR) to determine regional background contributions, drawing on the idea of source apportionment. Method 4 was the TCEQ method that used the lowest measured O<sub>3</sub>-8h concentration as the regional background. The estimation results showed that Methods 1 and 2 were basically equal, and Methods 3 and 4 were approximately 37-60 μg·m<sup>-3</sup> lower than Method 1. From 2019 to 2021, the changes in regional background <i>ρ</i>(O<sub>3</sub>-8h) estimated by Methods 1-4 were 1.6, -13.4, 5.9, and -3.5 μg·m<sup>-3</sup>, respectively. The average estimations derived from multiple methods showed that the regional background <i>ρ</i>(O<sub>3</sub>-8h) in Henan Province from 2019 to 2021 concentrations were 82.0, 79.0, and 79.7 μg·m<sup>-3</sup>, accounting for 75.9%, 76.4%, and 78.7% of the total regional O<sub>3</sub>-8h, respectively. The regional background O<sub>3</sub>-8h estimated by the four methods showed obvious seasonal changes, characterized by summer &gt; spring &gt; fall &gt; winter.

PubMedVol. 45(8)
Xinyang Normal University (CN), Chinese Academy of Sciences (CN), Zhengzhou University (CN), Institute of Atmospheric Physics (CN), Henan Normal University (CN)
Air Quality Monitoring and Forecasting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.