| 山东省PM2.5-O3复合污染的时空演变及地理探测成因分析 |
| Spatiotemporal Evolution and Geographic Detection of Driving Factors for PM2.5-O3 Composite Pollution in Shandong Province |
| 投稿时间：2024-12-28 修订日期：2025-11-03 |
| DOI：10.19316/j.issn.1002-6002.2026.02.18 |
| 中文关键词: 复合污染 PM2.5 O3 时空演变 地理探测器 影响因子 |
| 英文关键词:compound pollution PM2.5 O3 spatiotemporal evolution geographic detector influencing factor |
| 基金项目:聊城大学创新创业训练计划项目(CXCY202306) |
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| 中文摘要: |
| 基于2016—2024年空气质量数据、气象数据及城市建设数据,运用Pearson相关系数、地理探测器等方法探讨了山东省PM2.5-O3复合污染时空演变及驱动机制。结果表明:①PM2.5和O3月均值呈波峰、波谷交替的"波浪型"变化特征,且PM2.5振幅有逐年变小、浓度值逐步降低的趋势;O3呈"双峰型"特征,波峰多出现在6月和9月。空间上,PM2.5浓度由东向西依次递增;O3呈东部>西部、南部>北部的格局。②2016—2024年复合污染时间从14.2 d降至3.5 d,4月和10月为高发期。O3与PM2.5质量浓度比从0.41升至1.77,污染时段由8个月缩至2个月。③相关分析表明,PM2.5与CO、NO2、SO2呈显著正相关,O3与三者呈显著负相关,二者复合污染的相关性为"夏正冬负"且冬季逐年正向偏移。地理探测器显示,相对湿度是影响复合污染的主导性自然驱动因子,颗粒物排放和机动车总量为核心人为影响因素。 |
| 英文摘要: |
| Based on air quality data,meteorological data,and urban construction data from 2016 to 2024,the spatiotemporal evolution and driving mechanisms of PM2.5-O3 composite pollution in Shandong Province were explored by using Pearson correlation coefficient and geographic detector.The results showed that: ①The monthly mean concentrations of PM2.5 and O3 showed a "wave-shaped" change characteristic with alternating peaks and troughs,and the amplitude of PM2.5 fluctuations decreased year by year,alongside a general trend of declining concentration values.O3 exhibits a "bimodal" pattern,with peaks mostly occurring in June and September.Spatially,PM2.5 concentrations increased progressively from east to west,while O3 showed a pattern of higher in the east than in the west and higher in the south than in the north.② From 2016 to 2024,the number of days of compound pollution decreased from 14.2 days to 3.5 days,with April and October being the high-incidence periods.The O3/PM2.5 ratio increased from 0.41 to 1.77,and the pollution period shortened from 8 months to 2 months.③Correlation analysis showed that PM2.5 was significantly positively correlated with CO,NO2 and SO2,whereas O3 was significantly negatively correlated with these three pollutants.The correlation between the two pollutants in compound pollution showed a "positive in summer,negative in winter" pattern,with a gradual shift towards positive correlation in winter over the years.Geographic detectors analysis identified relative humidity as the dominant natural driving factor affecting compound pollution,while particulate matter emissions and the total number of motor vehicles were the core anthropogenic influencing factors. |
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