首页|PM2.5和O3污染特征和时空变化相关性分析——以南充市为例

PM2.5和O3污染特征和时空变化相关性分析——以南充市为例

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当前,细颗粒物(PM2。5)和臭氧(O3)已成为我国的两大主要空气污染物,特别是在人口密集的区域。PM2。5和O3污染程度强烈依赖于天气过程和人为排放,二者不仅影响社会经济健康发展,而且影响人体健康。为了探索PM2。5和O3的协同控制方法,分析两者相关性,掌握其主要影响因素,选取南充市主城区(顺庆区、高坪区、嘉陵区)为研究对象,以四川省空气质量监测网络管理系统中自动监测数据为基础,利用Origin、Excel、SPSS等软件,分析了该市环境空气中PM2。5和O3的污染现状、时空变化趋势以及影响因素,并探讨了二者的相关性。结果表明:①2018~2022年南充市主城区环境空气中PM2。5、O3年际变化整体呈下降趋势,近5年O3浓度均达标,但2022年O3出现反弹。②PM2。5、O3均表现出明显季节变化趋势,其中PM2。5呈现冬春高、夏秋低的"河谷型"变化趋势,而O3截然相反。③O3峰值主要出现在15:00-17:00,PM2。5多在23:00开始上升。④O3和PM2。5空间变化趋势与各自地理位置具有一定联系。
Correlation Analysis on Pollution Characteristics and Spatiotemporal Changes of PM2.5 and O3——Taking Nanchong City as an Example
Rapid economic development over the past decades has caused serious air pollution problems in China,with high concentrations of fine particulate matter(PM2.5)and ozone(O3),while PM2.5 and O3 have become the two major air pollutants in China in recent years,especially in densely populated cities.Fluctuations in PM2.5 and O3 are strongly dependent on weather processes and anthropogenic emissions.The co-pollution of PM2.5 and O3 not only harms human health,but also harms social economy,which has become a key issue in air pollution con-trol and co-management.In order to integrate the control methods of PM2.5 and O3,it is necessary to analyze the correlation between PM2.5 and O3 concentration and understand the impact of meteorology on the two pollutants.To explore the mechanism of PM2.5 and O3 pollution,the main urban area of Nanchong City(Shunqing District,Gaoping District and Jialing District)is selected as the research area.Based on the data of Sichuan Province air quality monitoring network management system,origin and Excel are used to analyze the pollution status,spatio-temporal trends and influencing factors of PM2.5 and O3 in the ambient air of Nanchong City.The correlation be-tween them is discussed by Pearson.The results showed that:①the interannual variation of PM2.5 and O3 pollution in the main urban area of Nanchong City showed a downward trend from 2018 to 2022.O3 pollution rebounded in 2022,and the O3 concentration reached the standard in the past five years.②from the perspective of seasonal vari-ation,PM2.5 showed a"valley pattern"of high in winter and spring and low in summer and autumn.O3 presents a completely opposite trend to PM2.5,that is,the"peak type"change trend is high in summer and autumn and low in winter and spring.By comparing the observation results of PM2.5 and O3,it is found that both PM2.5 and O3 show obvious seasonal changes.③O3 exceeding the standard usually occurs at 3 to 5 PM,while PM2.5 concentration in-creases at around 11 PM.④The trend of O3 and PM2.5 concentrations at various atmospheric monitoring stations in Nanchong City shows that the O3 and PM2.5 concentrations are affected by humidity,temperature and wind speed.

PM2.5O3trendinfluencing factors

刘骏、夏杰、杜鑫

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四川省南充生态环境监测中心站,四川 南充 637600

PM2.5 O3 变化趋势 影响因素

2024

绿色科技
花木盆景杂志社

绿色科技

影响因子:0.365
ISSN:1674-9944
年,卷(期):2024.26(18)