标题: Spatiotemporal Dynamic Correlation Characteristics and Driving Factors of Major Air Pollutant Emissions in China
作者: Tian, Y (Tian, Ya); He, C (He, Chao); Yang, L (Yang, Lu); Yi, JH (Yi, Jiahui); Ke, BQ (Ke, Biqin); Mu, H (Mu, Hang); Tu, PY (Tu, Peiyue); Ye, ZX (Ye, Zhixiang); Hong, S (Hong, Song)
来源出版物: ATMOSPHERE 卷: 14 期: 1 文献号: 130 DOI: 10.3390/atmos14010130 出版年: JAN 2023
摘要: Air pollution is closely associated with human health and the economy. Therefore, it is important to understand variations in the spatiotemporal and sectoral emission distributions of major air pollutants and their drivers. The policies (APAPPC) promulgated by China in 2013 have also achieved remarkable results. Rate of change, trend analysis, and a geographically and temporally weighted regression model were used to study the effects of socioeconomic factors on NOx, SO2, and dust emissions in China during 2011-2017. During the study period, annual average emissions of NOx, SO2, and dust decreased by 11.45, 13.42, and 4.82 Mt (-47.64, -60.53, and -39.05%), respectively. Pollutant emissions were concentrated in North China, with Shandong and Hebei provinces exhibiting the highest NOx and SO2 and dust emissions, respectively. Pollutant emissions from the power and industrial sectors were mainly distributed in East (27.08 and 28.00%, respectively) and North China (23.57 and 20.04%, respectively), whereas emissions from the residential sector were mainly concentrated in North (22.48%) and Southwest China (20.07%). Pollutant emissions were positively correlated with electricity generation, urban population density, urban green spaces, private car ownership, the secondary industry as a share of regional GDP, and steel production and negatively correlated with disposable income and gross construction output. Per capita disposable income was the dominant driving factor.
作者关键词: air pollution; atmospheric pollutants; pollutant emissions; China; spatiotemporal dynamic correlation
地址: [Tian, Ya; Yang, Lu; Yi, Jiahui; Ke, Biqin; Mu, Hang; Ye, Zhixiang; Hong, Song] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
[He, Chao] Changjiang Univ, Coll Resources & Environm, Wuhan 430070, Peoples R China.
[Tu, Peiyue] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China.
通讯作者地址: Hong, S (通讯作者),Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
电子邮件地址: songhong@whu.edu.cn
影响因子:3.11
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