Temporal and spatial variations of air pollution across China from 2015 to 2018

被引:31
|
作者
Zhou, Xiaoteng [1 ,2 ]
Strezov, Vladimir [1 ,2 ]
Jiang, Yijiao [1 ,3 ]
Kan, Tao [2 ]
Evans, Tim [1 ,2 ]
机构
[1] Macquarie Univ, ARC Res Hub Computat Particle Technol, Sydney, NSW 2109, Australia
[2] Macquarie Univ, Fac Sci & Engn, Dept Earth & Environm Sci, Sydney, NSW 2109, Australia
[3] Macquarie Univ, Fac Sci & Engn, Sch Engn, Sydney, NSW 2109, Australia
来源
基金
澳大利亚研究理事会;
关键词
PM2.5; PM10; SO2; NO2; Industrial products; Vehicle numbers; TIANJIN-HEBEI REGION; EMISSION INVENTORY; PARTICULATE MATTER; GASEOUS-POLLUTANTS; RIVER DELTA; PM2.5; RESOLUTION; CONTAMINATION; VARIABILITY; CITIES;
D O I
10.1016/j.jes.2021.04.025
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigated concentrations of PM2.5, PM10, SO2, NO2, CO and O-3, and air quality index (AQI) values across 368 cities in mainland China during 2015-2018. The study further examined relationships of air pollution status with local industrial capacities and vehicle possessions. Strong correlations were found between industrial capacities (coal, pig iron, crude steel and rolled steel) and air pollution levels. Although statistical and significant reductions of PM2.5, PM10, SO2, NO2, CO and AQI values were observed in response to various laws and regulations in industrial sectors, both particle and gaseous pollutants still had annual average concentrations above recommended limits. In order to further reduce air pollution, more efforts can be done to control traffic emissions caused by minicars and heavy trucks, which was revealed after investigating 16 vehicle types. This was also consistent with the apparent air quality improvement during the COVID-19 lockdown period in China in 2020, despite industrial operations being still active at full capacities. (C) 2021 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
引用
收藏
页码:161 / 169
页数:9
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