Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Sci Rep. 2022 Mar 9;12(1):4189. doi: 10.1038/s41598-022-08086-3.
Haze has reached epidemic levels in many Chinese cities in recent years. Few studies have explored the determinants and heterogeneity of PM. This paper investigates the spatiotemporal characteristics of PM through spatial analytical methods based on aerosol optical depth data from the Yangtze River Economic Belt (YREB) between 2000 and 2017. Geographically weighted regression and geodetector models were applied to assess the heterogeneity of key factors influencing PM. The results indicate that the annual concentrations of PM in the YREB were 23.49-37.37 μg/m, with an initial increase and a later decrease. PM pollution showed a diagonal high spatial distribution pattern in the northeast and a low spatial distribution in the southwest, as well as a noticeable spatial convergence. The spatial variability of PM was enlarged, and its main fractal dimension was in the northeast-southwest direction. There were clear spatiotemporal variations in the impacts of natural and anthropogenic factors on PM. Our findings contribute to a better understanding of the impact mechanisms of PM and the geographic factors that form persistent and highly polluted areas and imply that more specific coping strategies need to be implemented in various areas toward successful particulate pollution prevention and control.
近年来,雾霾在中国许多城市已达到流行水平。很少有研究探讨 PM 的决定因素和异质性。本文通过基于 2000-2017 年长江经济带(YREB)气溶胶光学深度数据的空间分析方法,研究了 PM 的时空特征。应用地理加权回归和地理探测器模型来评估影响 PM 的关键因素的异质性。结果表明,YREB 地区 PM 的年浓度为 23.49-37.37μg/m,呈先增后降的趋势。PM 污染呈东北对角高空间分布格局,西南低空间分布格局,空间收敛性明显。PM 的空间变异性增大,其主要分形维数在东北-西南方向。自然和人为因素对 PM 的影响存在明显的时空变化。我们的研究结果有助于更好地理解 PM 的影响机制以及形成持续和高污染地区的地理因素,这意味着需要在各个地区采取更具体的应对策略,以成功地预防和控制颗粒物污染。