School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China.
University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai 200240, PR China.
Chemosphere. 2017 Sep;183:429-436. doi: 10.1016/j.chemosphere.2017.05.133. Epub 2017 May 27.
With the rapid development of economy, air pollution has become increasingly serious nowadays in China, especially for the PM2.5. In this paper, the Spatio-temporal variations of PM2.5 emission over the past decade, from 2005 to 2014, were researched by cartograms. Meanwhile, a complex network technology was adopted to study the spatial auto-correlation of PM2.5 emission. The results showed that every province in China suffered a disparate increment in PM2.5 emission during the past ten years and also indicated that provinces in the same region had a huge influence on each other. There were three sectors including the thermal power, biomass burning and building materials that constituted the major sources of PM2.5 emission and they had different changing trends. There existed a dramatic difference in the east and west of China considering that the amount of PM2.5 was closely related to gross domestic product (GDP) and population. With higher GDP and population, eastern provinces emitted the most amount of PM2.5. Normalization results proposed that most of the provinces were PM2.5 exporting provinces in the southeast of China while most in the northwest were importing provinces. This study can help the policy-makers understand the distribution characteristics of PM2.5 emission and propose the effective strategy to mitigate the pollution of haze.
随着经济的快速发展,中国的空气污染问题日益严重,尤其是 PM2.5 污染。本文采用地图集方法研究了 2005-2014 年中国 PM2.5 排放的时空变化,并采用复杂网络技术研究了 PM2.5 排放的空间自相关。结果表明,过去十年间,中国各省的 PM2.5 排放量都有不同程度的增长,并且同一地区的省份之间存在着巨大的相互影响。火力发电、生物质燃烧和建筑材料是 PM2.5 排放的主要来源,它们的变化趋势不同。中国东西部之间存在明显差异,因为 PM2.5 的数量与国内生产总值(GDP)和人口密切相关。东部省份 GDP 和人口较高,因此排放的 PM2.5 最多。归一化结果表明,中国东南部的大部分省份是 PM2.5 的输出省份,而西北部的大部分省份则是输入省份。本研究有助于决策者了解 PM2.5 排放的分布特征,并提出缓解雾霾污染的有效策略。