Impact of regional haze pollution and local meteorological conditions on urban residential areas

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Abstract

With the accelerated process of economic construction and urbanization, motor vehicles and pollutants emitted from winter heating are constantly increasing, and regional haze pollution caused by these factors has affected people's living environment. This article took Nanning City, Guangxi Province, as the research area and analyzed the relationship between regional haze pollution and local meteorology by using the Pearson correlation coefficient. Then, cluster analysis was carried out to find out the main impacts of these two factors on urban residential areas. The results showed that among the local meteorological factors, average precipitation was strongly correlated with the occurrence of haze pollution, while other meteorological factors showed a very strong correlation. According to the results of cluster analysis, the impact of regional haze pollution and local meteorology on urban residential areas was mainly divided into three categories: reduced visibility, reduced human health, and reduced living comfort. The largest impact was on reduced visibility, and 79.11% of the total population felt that the visibility was affected.

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Revealing Drivers of Haze Pollution by Explainable Machine Learning

Linlu Hou, Qili Dai, Congbo Song … (2022)

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Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China

Xin Zhang, Zhongzhi Zhang, Zhisheng Xiao … (2021)

To investigate the characteristics of particulate matter with an aerodynamic diameter less than 2.5 μm (PM 2.5 ) and its chemical compositions in the Beijing-Tianjin-Hebei (BTH) region of China during the novel coronavirus disease (COVID-19) lockdown, the ground-based data of PM 2.5 , trace gases, water-soluble inorganic ions, and organic and elemental carbon were analyzed in three typical cities (Beijing, Tianjin, and Baoding) in the BTH region of China from 5-15 February 2020. The PM 2.5 source apportionment was established by combining the weather research and forecasting model and comprehensive air quality model with extensions (WRF-CAMx). The results showed that the maximum daily PM 2.5 concentration reached the heavy pollution level (>150 μg/m 3 ) in the above three cities. The sum concentration of SO 4 2− , NO 3 − and NH 4 + played a dominant position in PM 2.5 chemical compositions of Beijing, Tianjin, and Baoding; secondary transformation of gaseous pollutants contributed significantly to PM 2.5 generation, and the secondary transformation was enhanced as the increased PM 2.5 concentrations. The results of WRF-CAMx showed obviously inter-transport of PM 2.5 in the BTH region; the contribution of transportation source decreased significantly than previous reports in Beijing, Tianjin, and Baoding during the COVID-19 lockdown; but the contribution of industrial and residential emission sources increased significantly with the increase of PM 2.5 concentration, and industry emission sources contributed the most to PM 2.5 concentrations. Therefore, control policies should be devoted to reducing industrial emissions and regional joint control strategies to mitigate haze pollution.