Socioeconomic Drivers of PM2.5 in the Accumulation Phase of Air Pollution Episodes in the Yangtze River Delta of China

被引:87
|
作者
Lou, Cai-Rong [1 ,2 ,3 ]
Liu, Hong-Yu [1 ,3 ]
Li, Yu-Feng [1 ,3 ]
Li, Yu-Ling [1 ,3 ]
机构
[1] Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China
[2] Nantong Univ, Coll Geog Sci, Nantong 226007, Peoples R China
[3] Nanjing Normal Univ, Coll Geog Sci, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2.5; pollution episode; socioeconomic factor; geographical detector; Yangtze River Delta; FINE PARTICULATE MATTER; LAND-USE REGRESSION; SPATIAL VARIATION; EMISSIONS; QUALITY; REGION; LEVEL; PM10; SHANGHAI; ELEMENTS;
D O I
10.3390/ijerph13100928
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recent studies in PM2.5 sources show that anthropogenic emissions are the main contributors to haze pollution. Due to their essential roles in establishing policies for improving air quality, socioeconomic drivers of PM2.5 levels have attracted increasing attention. Unlike previous studies focusing on the annual PM2.5 concentration (C-year), this paper focuses on the accumulation phase of PM2.5 during the pollution episode (PMAE) in the Yangtze River Delta in China. This paper mainly explores the spatial variations of PMAE and its links to the socioeconomic factors using a geographical detector and simple linear regression. The results indicated that PM2.5 was more likely to accumulate in more developed cities, such as Nanjing and Shanghai. Compared with C-year, PMAE was more sensitive to socioeconomic impacts. Among the twelve indicators chosen for this study, population density was an especially critical factor that could affect the accumulation of PM2.5 dramatically and accounted for the regional difference. A 1% increase in population density could cause a 0.167% rise in the maximal increment and a 0.214% rise in the daily increase rate of PM2.5. Additionally, industry, energy consumption, and vehicles were also significantly associated with PM2.5 accumulation. These conclusions could serve to remediate the severe PM2.5 pollution in China.
引用
收藏
页数:19
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