Background concentration of atmospheric PM2.5 in the Beijing–Tianjin–Hebei urban agglomeration: Levels, variation trends, and influences of meteorology and emission
Background concentration of atmospheric PM2.5 in the Beijing–Tianjin–Hebei urban agglomeration: Levels, variation trends, and influences of meteorology and emission
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DOI：
10.1016/j.apr.2022.101583
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发表时间：
2022-10
影响因子：
4.5
通讯作者：
Shuang Gao;Jie Yu;Wen Yang;Fangyu Qu;Li Chen;Yanling Sun;Hui Zhang;Jian Mao;Hongyan Zhao;M. Azzi;Z. Bai
中科院分区：
文献类型：
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作者：
Shuang Gao;Jie Yu;Wen Yang;Fangyu Qu;Li Chen;Yanling Sun;Hui Zhang;Jian Mao;Hongyan Zhao;M. Azzi;Z. Bai
本底PM2.5的确定以及气象和排放对城市本底浓度的影响的分离，对于评估当地人为排放控制措施的有效性是重要的。采用基线分离技术估算了京津冀城市群PM2.5的本底浓度，并与上甸子区域本底监测的本底浓度进行了比较。进一步使用Kolmogorov-Zurbenko(KZ)滤波和逐步回归模型来分离气象和排放对背景水平的影响。结果表明，2018年、2019年和2020年吉林省PM2.5的年平均本底水平分别为27.18亿μg/m~3、24.77g/m~3和22.20g/m~3。背景浓度在季节和空间分布上表现出明显的差异，南部内陆平原冬季的背景浓度最高。边界层高度、地表净太阳辐射、总降水、温度、风向与背景层高度呈负相关，而地面气压与背景层高度呈正相关。人为排放(89%，−5.71g/μg/m3.yr)对JJJUA长期本底浓度的下降趋势有显著贡献，表明PM2.5来自周边地区的远距离输送具有很强的影响。研究结果强调了区域空气污染水平对本底PM2.5的强烈影响，并建议通过区域空气污染的协调控制来降低PM2.5的区域本底水平。
The determination of background PM2.5and the separation of the meteorology-related and emission-related influences on background concentration in urban areas are important to evaluate the effectiveness of local anthropogenic emission control measures. In this study, the baseline separation technique was used to estimate the urban background concentration of PM2.5in the Beijing–Tianjin–Hebei Urban agglomeration (JJJUA) by comparing its results with the background level monitored at the Shangdianzi regional background site. The Kolmogorov–Zurbenko (KZ) filter and stepwise regression model were further used to isolate the impacts of meteorology and emission on background levels. The results showed that the annual average background levels of PM2.5in JJJUA were 27.18, 24.77, and 22.20 μg/m3in 2018, 2019, and 2020, respectively. The background concentration showed significant differences in the seasonal and spatial distributions, with the highest levels obtained during winter in the southern inland plains. Boundary layer height, surface net solar radiation, total precipitation, temperature, and wind direction were negatively correlated with the background level, whereas surface pressure was positively correlated with the background level. A significant contribution of anthropogenic emissions (89%, −5.71 μg/m3•yr) on the decrease in trend of long-term background concentration was observed in JJJUA, indicating the strong influence of long-range transport of PM2.5from surrounding areas. The results emphasize the strong influence of regional air pollution levels on background PM2.5, and coordinated control of regional air pollution is suggested to potentially reduce the regional background level of PM2.5.