2019—2023年聊城市PM2.5和O3质量浓度变化特征的相关性分析及气象因素影响研究

doi:10.3976/j.issn.1002-4026.2025022

Abstract

Abstract:

To investigate the characteristics of atmospheric composite pollution and meteorological driving mechanisms in medium-sized industrial cities, this study systematically analyzed the spatiotemporal variations and synergistic effects of PM_2.5 and ozone (O₃) based on air quality data from five national stations and eight county-level monitoring stations in Liaocheng City from 2019 to 2023. The results showed that the annual average PM_2.5 concentration exhibited a fluctuating downward trend but rebounded in 2023 with increased extreme values. O₃ concentrations displayed a “decline followed by rise” pattern, peaking at 230.0 μg/m³ in June during the summer pollution season. Correlation analysis revealed that PM_2.5 and O₃ pollution showed a positive correlation in summer and a negative correlation in winter,Among various meteorological factors, temperature exhibited a significant positive effect on O₃ formation. When humidity was in the 60%-70% range, the risk of simultaneous PM_2.5 and O₃ exceedance increased. Wind analysis further showed that O₃ exceedances predominantly occurred under the presence of southerly winds(0 to 7.5 m/s), displaying a distinct “red tongue” extension pattern, while calm and westerly winds exacerbated PM_2.5 concentration.

Key words: Liaocheng, PM_2.5, O₃, spatiotemporal distribution, correlation analysis, meteorological factors

CLC Number:

X831

LI Jing, JIANG Na, DONG Yuan, WANG Jinye, MENG Jingjing. Research oncorrelations between variations in PM_2.5 and O₃ concentrations and impacts of meteorological factors in Liaocheng from 2019 to 2023[J].Shandong Science, 2026, 39(1): 133-143.

Figures/Tables 11

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits third parties to freely share (i.e., copy and redistribute the material in any medium or format) and adapt (i.e., remix, transform, or build upon the material) the articles published in this journal, provided that appropriate credit is given, a link to the license is provided, and any changes made are indicated. The material may not be used for commercial purposes. For details of the CC BY-NC 4.0 license, please visit: https://creativecommons.org/licenses/by-nc/4.0

IAQI	O₃质量浓度/(μg·m^-3)	PM_2.5质量浓度/(μg·m^-3)
0	0	0
50	100	35
100	160	75
150	215	115
200	265	150
300	800	250

指标	ρ(SO₂)	ρ(NO₂)	ρ(PM₁₀)	ρ(PM_2.5)	ρ(CO)	ρ(O₃-8H)	AQI
ρ(SO₂)	1
ρ(NO₂)	0.522^**	1
ρ(PM₁₀)	0.447^**	0.485^**	1
ρ(PM_2.5)	0.534^**	0.514^**	0.873^**	1
ρ(CO)	0.594^**	0.432^**	0.523^**	0.674^**	1
ρ(O₃-8H)	-0.138^**	-0.138^**	0.031	-0.014	-0.125^**	1
AQI	0.309^**	0.297^**	0.755^**	0.682^**	0.316^**	0.518^**	1

Research oncorrelations between variations in PM_2.5 and O₃ concentrations and impacts of meteorological factors in Liaocheng from 2019 to 2023

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Research oncorrelations between variations in PM2.5 and O3 concentrations and impacts of meteorological factors in Liaocheng from 2019 to 2023

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Research oncorrelations between variations in PM_2.5 and O₃ concentrations and impacts of meteorological factors in Liaocheng from 2019 to 2023