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中国城市群 PM 的时空演变及驱动因素。

Spatiotemporal Evolution and Driving Forces of PM in Urban Agglomerations in China.

机构信息

School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China.

School of Geography, Nanjing Normal University, Nanjing 210023, China.

出版信息

Int J Environ Res Public Health. 2023 Jan 28;20(3):2316. doi: 10.3390/ijerph20032316.

Abstract

With the rapid development of China's economy, the process of industrialization and urbanization is accelerating, and environmental pollution is becoming more and more serious. The urban agglomerations (UAs) are the fastest growing economy and are also areas with serious air pollution. Based on the monthly mean PM concentration data of 20 UAs in China from 2015 to 2019, the spatiotemporal distribution characteristics of PM were analyzed in UAs. The effects of natural and social factors on PM concentrations in 20 UAs were quantified using the geographic detector. The results showed that (1) most UAs in China showed the most severe pollution in winter and the least in summer. Seasonal differences were most significant in the Central Henan and Central Shanxi UAs. However, the PM was highest in March in the central Yunnan UA, and the Harbin-Changchun and mid-southern Liaoning UAs had the highest PM in October. (2) The highest PM concentrations were located in northern China, with an overall decreasing trend of pollution. Among them, the Beijing-Tianjin-Hebei, central Shanxi, central Henan, and Shandong Peninsula UAs had the highest concentrations of PM. Although most of the UAs had severe pollution in winter, the central Yunnan, Beibu Gulf, and the West Coast of the Strait UAs had lower PM concentrations in winter. These areas are mountainous, have high temperatures, and are subject to land and sea breezes, which makes the pollutants more conducive to diffusion. (3) In most UAs, socioeconomic factors such as social electricity consumption, car ownership, and the use of foreign investment are the main factors affecting PM concentration. However, PM in Beijing-Tianjin-Hebei and the middle and lower reaches of the Yangtze River are chiefly influenced by natural factors such as temperature and precipitation.

摘要

随着中国经济的快速发展,工业化和城市化进程加速,环境污染日益严重。城市群是经济增长最快的地区,也是空气污染最严重的地区。本研究基于 2015-2019 年中国 20 个城市群逐月平均 PM2.5 浓度数据,分析了城市群 PM2.5 的时空分布特征。利用地理探测器定量分析了自然和社会因素对 20 个城市群 PM2.5 浓度的影响。结果表明:(1)中国大部分城市群冬季污染最严重,夏季污染最轻。豫中、晋中南城市群季节差异最为显著,而滇中城市群 3 月 PM2.5 浓度最高,哈长和辽中南城市群 10 月 PM2.5 浓度最高。(2)PM2.5 浓度高值区主要位于北方,污染呈整体下降趋势。京津冀、晋中南、豫中、山东半岛城市群 PM2.5 浓度较高。虽然大部分城市群冬季污染严重,但滇中、北部湾和海峡西岸城市群冬季 PM2.5 浓度较低。这些地区多山,气温较高,受海陆风影响,有利于污染物扩散。(3)在大多数城市群中,社会经济因素(如社会用电量、汽车保有量、利用外资等)是影响 PM2.5 浓度的主要因素。然而,京津冀和长江中下游城市群的 PM2.5 主要受温度和降水等自然因素的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c6f/9915024/257db75029f3/ijerph-20-02316-g001.jpg

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