Human activities and the natural environment have induced changes in the PM2.5 concentrations in Yunnan Province, China, over the past 19 years
Human activities and the natural environment have induced changes in the PM2.5 concentrations in Yunnan Province, China, over the past 19 years
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过去19年来，人类活动和自然环境导致了中国云南省PM2.5浓度的变化
DOI：
10.1016/j.envpol.2020.114878
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发表时间：
2020
影响因子：
8.9
通讯作者：
qiulin Li
中科院分区：
文献类型：
--
作者：
Kun Yang;Mengfan Teng;Yi Luo;Xiaolu Zhou;Miao Zhang;Sun Weizhao;qiulin Li
细颗粒物(PM2.5)浓度具有明显的时空异质性，主要受自然环境和人类活动的影响。选取云南省中国为研究区域，从2013年2月至2018年12月，对云南省16个主要城市的41个监测站的PM2.5浓度进行了实时测量。使用了中分辨率成像光谱仪(MODIS)的气溶胶光学厚度(AOD)产品和2000年至2018年四个气象变量的数据。构建了一种新的混合模型来估算2000-2012年PM2.5的历史缺失值，计算了一些主要城市2012-2014年的PM2.5缺失量，分析了云南省近19年PM2.5浓度变化的驱动因素和重点污染事件的成因。时间分析结果表明，云南省PM2.5年平均浓度呈现持续稳定、快速上升和快速下降三个阶段。2013年是集中度变化趋势的重要转折点。空间分析结果表明，PM2.5年平均浓度北部低于南部，且东西差异显著。此外，东南亚春季生物质燃烧是云南省春季PM2.5污染的主要原因。
Fine particulate matter (PM2.5) concentrations exhibit distinct spatiotemporal heterogeneity, mainly due to the natural environment and human activities. Yunnan Province of China was selected as the research area, and a real-time measured PM2.5concentration dataset was acquired from 41 monitoring stations in 16 major cities from February 2013 to December 2018. Aerosol optical depth (AOD) products from the Moderate Resolution Imaging Spectroradiometer (MODIS) and data on four meteorological variables from 2000 to 2018 were employed. A novel hybrid model was constructed to estimate the historical missing PM2.5values from 2000 to 2012, calculate the missing PM2.5concentrations from 2012 to 2014 in some major cities, and analyze the driving factors of the PM2.5concentration changes and causes of key pollution events in Yunnan Province over the past 19 years. The temporal analysis results indicate that the annual mean PM2.5concentration in Yunnan Province exhibited three stages: continuous stability, a rapid increase and a rapid decrease. The year 2013 was an important breakpoint in the trend of the concentration change. The spatial analysis results reveal that the annual mean PM2.5concentration in the north was lower than that in the south, and there was a significant difference between the east and the west. In addition, springtime biomass burning in Southeast Asia was found to be the main cause of PM2.5pollution in Yunnan Province in spring.