Spatiotemporal Trends and Influencing Factors of PM2.5 Concentration in Eastern China from 2001 to 2018 Using Satellite-Derived High-Resolution Data
Spatiotemporal Trends and Influencing Factors of PM2.5 Concentration in Eastern China from 2001 to 2018 Using Satellite-Derived High-Resolution Data
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利用卫星高分辨率数据分析2001-2018年中国东部地区PM2.5浓度时空变化趋势及影响因素
DOI：
10.3390/atmos13091352
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发表时间：
2022-08
期刊：
影响因子：
2.9
通讯作者：
Yanbin Yuan
中科院分区：
文献类型：
--
作者：
Weihang Wang;Qingqing He;Kai Gao;Ming Zhang;Yanbin Yuan
中国东部的细胞颗粒物（PM2.5）的环境暴露是一个人口稠密的地区，具有非常高的PM2.5污染，引起了公众，政府和科学界的极大关注。通过利用先进的统计方法和高分辨率PM2.5数据集，这项研究明确研究了2001年至2018年中国东部PM2.5的时空变化，以多个空间和时间尺度进行了研究，并检查了其自然和社会经济因素的联系探索它们对PM2.5变化的影响。这项研究发现，中国东部大部分地区的PM2.5浓度最近下降了，而研究领域的南部和西部地区大部分可分辨的趋势发生在大部分趋势，统计学上显着的趋势主要在中国平原。影响因素分析发现，在选定的四个自然和五个人为因素中，温度和人口密度比其他影响因素产生了更有效的效果，并且所有影响因素都被发现对PM2.5浓度造成了复杂的影响。空间和时间。我们的研究绘制了PM2.5及其可能影响的变化的完整情况，这可能指导未来的行动减轻中国东部的PM2.5污染。
Ambient exposure to fine particulate matter (PM2.5) in eastern China, a densely populated region with very high-level PM2.5 pollution, has attracted great concern from the public, government, and scientific community. By taking advantage of advanced statistical methods and a high-resolution PM2.5 dataset, this study explicitly investigated the spatiotemporal changes in PM2.5 in eastern China from 2001 to 2018 at multiple spatial and temporal scales and examined its links with natural and socioeconomic factors to explore their effects on PM2.5 changes. This study found that the PM2.5 concentration in most of eastern China declined recently, while most of the discernable decreasing trends occurred in the southern and western areas of the study domain, and the statistically significant increasing trends were primarily in the North China Plain. The influencing factors analysis found that, among the selected four natural and five anthropogenic factors, temperature, and population density exerted more potent effects than the other influencing factors, and all the influencing factors were found to impose complex effects on the PM2.5 concentration over space and time. Our study draws a complete picture of the changes in PM2.5 and its possible influences, which could guide future actions to mitigate PM2.5 pollution in eastern China.