State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.
Sci Total Environ. 2017 Dec 1;601-602:1024-1030. doi: 10.1016/j.scitotenv.2017.05.263. Epub 2017 Jun 9.
Exposure to PM2.5 results in negative effects on human health. However, PM2.5 exposure at the national scale is poorly known for China owing to limited spatial and temporal PM2.5 concentration data. In this study, we present analyses of PM2.5 exposure throughout China using high-resolution temporal and spatial ground-level PM2.5 data from 2015. Our results indicated that the annual mean PM2.5 concentration was 52.81μg/m, and that the highest annual mean PM2.5 concentrations primarily appeared in the North China Plain. We also found the lowest and highest monthly mean PM2.5 concentrations appeared in August and January, respectively, while the lowest and highest diurnal mean PM2.5 concentrations occurred at 16:00 and 10:00, respectively. Moreover, comparisons to data from 2013 indicated that the annual mean PM2.5 concentrations decreased by 12.31% from 2013 to 2015, which was likely due to the implementation of environmental protection laws in early 2015. Our findings provide new insights, for not only studies of PM2.5 exposure and human health, but also to inform the implementation of national and regional air pollution reduction policies.
PM2.5 暴露对人类健康有负面影响。然而，由于 PM2.5 浓度数据在时空上的限制，中国全国范围内的 PM2.5 暴露情况还不甚清楚。在这项研究中，我们使用了 2015 年高时空分辨率的地面 PM2.5 浓度数据，分析了中国的 PM2.5 暴露情况。结果表明，中国年平均 PM2.5 浓度为 52.81μg/m3，年平均 PM2.5 浓度最高的地区主要出现在华北平原。我们还发现，月平均 PM2.5 浓度最低和最高的月份分别出现在 8 月和 1 月，日平均 PM2.5 浓度最低和最高的时间分别出现在 16:00 和 10:00。此外，与 2013 年的数据相比，2015 年中国的年平均 PM2.5 浓度下降了 12.31%，这可能是由于 2015 年初实施了环境保护法。我们的研究结果不仅为 PM2.5 暴露与人类健康的研究提供了新的视角，也为国家和区域空气污染减排政策的实施提供了参考。
