Effects of meteorological conditions and anthropogenic precursors on ground-level ozone concentrations in Chinese cities

被引:78
|
作者
Liu, Pengfei [1 ,2 ,5 ]
Song, Hongquan [3 ,4 ,5 ]
Wang, Tuanhui [3 ,5 ]
Wang, Feng [3 ,5 ]
Li, Xiaoyang [3 ,5 ]
Miao, Changhong [1 ,2 ]
Zhao, Haipeng [3 ,5 ]
机构
[1] Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Kaifeng 475001, Peoples R China
[2] Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat Hen, Kaifeng 475001, Peoples R China
[3] Henan Univ, Lab Geospatial Technol Middle & Lower Yellow Rive, Minist Educ, Kaifeng 475004, Henan, Peoples R China
[4] Henan Univ, Henan Key Lab Integrated Air Pollut Control & Eco, Kaifeng 475004, Henan, Peoples R China
[5] Henan Univ, Coll Environm & Planning, Inst Urban Big Data, Kaifeng 475004, Henan, Peoples R China
关键词
Air pollution; Tropospheric ozone; Interactive effects; GeoDetector model; China; PEARL RIVER DELTA; SURFACE OZONE; TEMPORAL VARIATIONS; PARTICULATE MATTER; URBAN AREAS; POLLUTION; EMISSIONS; IMPACTS; SENSITIVITY; REGION;
D O I
10.1016/j.envpol.2020.114366
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ground-level ozone pollution has negative impacts on human health and vegetation and has increased rapidly across China. Various factors are implicated in the formation of ozone (e.g., meteorological factors, anthropogenic emissions), but their relative individual impact and the impact of interactions between these factors remains unclear. This study quantified the influence of specific meteorological conditions and anthropogenic precursor emissions and their interactions on ozone concentrations in Chinese cities using the geographic detector model (GeoDetector). Results revealed that the impacts of meteorological and anthropogenic factors and their interactions on ozone concentrations varied significantly at different spatial and temporal scales. Temperature was the dominant driver at the annual time scale, explaining 40% (q = 0.4) of the ground-level ozone concentration. Anthropogenic precursors and meteorological conditions had comparable effects on ozone concentrations in summer and winter in northern China. Interactions between all the factors can enhance effects. The interaction between meteorological factors and anthropogenic precursors had the strongest impact in summer. The results can be used to enhance our understanding of ozone pollution, to improve ozone prediction models, and to formulate pollution control measures. (C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:8
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