Liu Xiaoyong, Zhao Chengmei, Shen Xinzhi, Jin Tao
School of Geographic Sciences, Xinyang Normal University, Xinyang, China.
Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, Xinyang, China.
Air Qual Atmos Health. 2022;15(9):1507-1521. doi: 10.1007/s11869-022-01178-z. Epub 2022 Jul 6.
The Central Plains Urban Agglomeration (CPUA) is the largest region in central China and suffers from serious air pollution. To reveal the spatiotemporal variations and the sources of fine particulate matter (PM, with an aerodynamic diameter of smaller than 2.5 μm) concentrations of CPUA, multiple and transdisciplinary methods were used to analyse the collected millions of PM concentration data. The results showed that during 2017 ~ 2020, the yearly mean concentrations of PM for CPUA were 68.3, 61.5, 58.7, and 51.5 μg/m, respectively. The empirical orthogonal function (EOF) analysis suggested that high PM pollution mainly occurred in winter (100.8 μg/m, 4-year average). The diurnal change in PM concentrations varied slightly over the season. The centroid of the PM concentration moved towards the west over time. The spatial autocorrelation analysis indicated that PM concentrations exhibited a positive spatial autocorrelation in CPUA. The most polluted cities distributed in the northern CPUA (Handan was the centre) formed a high-high agglomeration, and the cities located in the southern CPUA (Xinyang was the centre) formed a low-low agglomeration. The backward trajectory model and potential source contribution function were employed to discuss the regional transportation of PM. The results demonstrated that internal-region and cross-regional transport of anthropogenic emissions were all important to PM pollution of CPUA. Our study suggests that joint efforts across cities and regions are necessary.
The online version contains supplementary material available at 10.1007/s11869-022-01178-z.
中原城市群是中国中部最大的区域，空气污染严重。为揭示中原城市群细颗粒物（空气动力学直径小于2.5μm的PM）浓度的时空变化及来源，采用多种跨学科方法分析收集到的数百万条PM浓度数据。结果表明，2017年至2020年期间，中原城市群PM的年均浓度分别为68.3、61.5、58.7和51.5μg/m³。经验正交函数（EOF）分析表明，高PM污染主要发生在冬季（四年平均浓度为100.8μg/m³）。PM浓度的日变化在不同季节略有不同。随着时间的推移，PM浓度的重心向西移动。空间自相关分析表明，中原城市群的PM浓度呈现正空间自相关。污染最严重的城市分布在中原城市群北部（以邯郸为中心），形成高高集聚，而位于中原城市群南部（以信阳为中心）的城市形成低低集聚。利用后向轨迹模型和潜在源贡献函数讨论了PM的区域传输。结果表明，人为排放的区域内和跨区域传输对中原城市群的PM污染都很重要。我们的研究表明，城市和地区之间需要共同努力。
在线版本包含可在10.1007/s11869-022-01178-z获取的补充材料。
