环渤海城市群空气污染特征及其与气象要素的关系

摘要/Abstract

摘要： 为探究环渤海三大城市群空气污染特征及其与气象要素关系的异同, 基于 2015–2019 年空气质量指数日报资料及同期气象要素资料, 利用空间自相关模型和皮尔逊相关系数对其相关性进行了分析。研究表明: (1)对于 PM2.5、 PM10 和 O3 这三大被研究的首要污染物, 在冬季主要以 PM2.5、PM10 为主, 夏季以 O3 为主。除 O3 外其余污染物浓度呈现下降趋势。(2) 空气质量指数 (AQI) 呈现秋季最低、冬季最高的变化特点, 年际上空气质量在逐步改善。(3) AQI 存在明显的空间集聚现象, 总体上由沿海向内陆逐渐由空气质量优良区变为空气污染区。(4) AQI、PM2.5、PM10 和 O3 在不同季节与各气象要素的相关性不同, 且相关性强度呈非线性变化。

关键词: 环渤海, 空气污染指数, 空间自相关, 气象要素

Abstract: In order to explore the characteristics of air pollution and their relationship with meteorological elements in the three major urban agglomerations around the Bohai Sea, China, based on the daily report data of air quality index from 2015 to 2019 and the meteorological element data of the same period, the spatial autocorrelation model and Pearson correlation coefficient are used to analyze the correlation between them. The results show that: (1) For the three major pollutants studied, PM2.5, PM10 and O3, the main pollutants are PM2.5 and PM10 in winter and O3 in summer. Except O3, the concentrations of other pollutants show a downward trend from 2015 to 2019. (2) The air quality index (AQI) is the lowest in autumn and the highest in winter, and the air quality is gradually improving interannually. (3) AQI has an obvious spatial agglomeration phenomenon, which gradually changes from the good air quality area to the air pollution area from the coastal area to the inland area. (4) The correlations of AQI, PM2.5, PM10 and O3 with various meteorological elements are different in different seasons, and the correlation intensity shows a non-linear change.

Key words: Bohai rim, air pollution index, spatial autocorrelation, meteorological factors

中图分类号:

樊欣怡, 廉丽姝∗, 王猛. 环渤海城市群空气污染特征及其与气象要素的关系[J]. 大气与环境光学学报, 2022, 17(5): 506-520.

FAN Xinyi, LIAN Lishu ∗ , WANG Meng. Characteristics of air pollution and its relationship with meteorological factors in Bohai Rim urban agglomeration[J]. Journal of Atmospheric and Environmental Optics, 2022, 17(5): 506-520.

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