Journal
INDOOR AND BUILT ENVIRONMENT
Volume 30, Issue 10, Pages 1857-1874Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1420326X20979274
Keywords
Air pollutants; ArcGIS; PCA; Health risk assessment
Categories
Funding
- National Key Research and Development Program of China [2017YFC0702700]
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In recent years, air pollution in Northeastern China, specifically in Jilin Province, has been increasing due to coal burning and automobile emissions. By analyzing the data using ArcGIS, PCA, and non-carcinogenic risk models, it was found that pollutants have a temporal distribution trend of winter > spring > autumn > summer, with a spatial distribution decreasing from northwest to southeast. The main sources of air pollution were identified as coal-fired and automobile emissions.
In recent years, the pollution of the air environment has been increasing, which has seriously endangered human health. The large amount of coal burning and automobile exhaust emissions in winter have caused serious regional pollution, which has greatly increased the prevalence of respiratory disease of people. The purpose of this study is to use Jilin Province as an example to map out the environmental pollution status in Northeastern China, and to provide suggestions for the improvement of the atmospheric environment. Using the annual data of China's atmospheric monitoring, the atmospheric environment in Jilin was comprehensively analysed using ArcGIS, principal component analysis (PCA) and non-carcinogenic risk model calculations. The results showed that the temporal distribution of pollutants was winter > spring > autumn > summer, and the spatial distribution is decreasing from northwest to southeast. The PCA showed that the first principal components were PM2.5 and CO, and the second principal components were PM10 and O-3. The main sources of air pollution were coal-fired (62.365%) and automobile emissions (19.153%). The non-carcinogenic risks of pollutants are all within the acceptable range (1 x 10(-6)), but as age increases, the risk gradually decreases, and the risk value of male is higher than that of female.
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