State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Environ Int. 2020 Aug;141:105776. doi: 10.1016/j.envint.2020.105776. Epub 2020 May 8.
To improve air quality, China has been implementing strict clean air policies since 2013. These policies not only substantially improved air quality but may also modify the spatial distribution of air pollution, since urban emission sources were under stricter control and some were moved to rural regions with lower air quality improvement targets and lacking of monitoring. Here, we predicted satellite-based monthly PM concentrations during 2000-2018 at a 1-km resolution with complete spatial-temporal coverage to analyze changes in the spatial pattern of PM pollution in China. We found that the PM concentration in urban regions was higher than that in rural regions of the same city by an average of 3.3 μg/m during 2000-2018. This urban-rural disparity in PM concentration significantly increased from 2.5 μg/m in 2000 and peaked in 2007 of 3.8 μg/m, then it sharply declined by 49% during 2013-2018 with the implementation of clean air policies. This shrinkage in the urban-rural PM gap was partly due to the 1.3 μg/m greater average decrease in the PM level in the urban region than in the rural region of the same town during 2013-2018 on average. We also observed that cities that started monitoring earlier experienced greater decreases in the urban-rural PM difference, and regions surrounding monitor showed significantly greater PM decrease than regions far away from monitor during 2013-2018. Additionally, clean air policies modified the relationship between PM concentrations and per capita gross domestic product (GDP), leading to a lower PM level with the same per capita GDP after 2013. Emissions in rural and suburban regions should be considered to further improve air quality in China.
为改善空气质量,中国自 2013 年以来一直实施严格的清洁空气政策。这些政策不仅大幅改善了空气质量,还可能改变空气污染的空间分布,因为城市排放源受到更严格的控制,一些排放源转移到空气质量改善目标较低、缺乏监测的农村地区。在这里,我们利用 2000-2018 年的完整时空覆盖的卫星观测数据,以 1 公里的分辨率预测了月均 PM2.5 浓度,以分析中国 PM 污染空间格局的变化。我们发现,2000-2018 年,城市地区的 PM2.5 浓度比同一城市的农村地区高平均 3.3μg/m。这种城乡 PM2.5 浓度的差异在 2000 年增加了 2.5μg/m,在 2007 年达到 3.8μg/m 的峰值,随后在 2013-2018 年清洁空气政策实施期间急剧下降了 49%。城乡 PM 差距的缩小部分是由于 2013-2018 年期间,城市地区 PM2.5 浓度的平均降幅比同一城镇农村地区大 1.3μg/m。我们还观察到,监测开始较早的城市经历了更大的城乡 PM 差异降幅,而在 2013-2018 年期间,监测点周边地区的 PM 降幅明显大于远离监测点的地区。此外,清洁空气政策改变了 PM 浓度与人均国内生产总值(GDP)之间的关系,导致 2013 年后,相同人均 GDP 下的 PM 水平降低。应该考虑农村和郊区的排放,以进一步改善中国的空气质量。