Spatio-temporal variations of PM2.5 emission in China from 2005 to 2014.
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.
['Jin|Qiang|Q|', 'Fang|Xinyue|X|', 'Wen|Bo|B|', 'Shan|Aidang|A|']
D000393:Air Pollutants D000397:Air Pollution D002681:China D004784:Environmental Monitoring D004787:Environmental Pollution D000067896:Industrial Development D052638:Particulate Matter
Spatio-temporal variations PM2.5 emission GDP and population Environmental Kuznets curve Sources identification