Socioeconomic Drivers of PM2.5 in the Accumulation Phase of Air Pollution Episodes in the Yangtze River Delta of China
| Autor: | Yu-Ling Li, Cai-Rong Lou, Hongyu Liu, Yufeng Li |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Delta
Pollution China 010504 meteorology & atmospheric sciences Health Toxicology and Mutagenesis media_common.quotation_subject Air pollution lcsh:Medicine Industrial Waste PM2.5 010501 environmental sciences medicine.disease_cause 01 natural sciences Population density Article Pollution in China Rivers Environmental protection Air Pollution medicine Humans Cities Socioeconomics Socioeconomic status Air quality index 0105 earth and related environmental sciences media_common Yangtze River Delta Vehicle Emissions geographical detector Air Pollutants Volatile Organic Compounds Smog lcsh:R socioeconomic factor Urbanization Public Health Environmental and Occupational Health pollution episode Environmental science Particulate Matter Environmental Monitoring Power Plants |
| Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 13, Iss 10, p 928 (2016) International Journal of Environmental Research and Public Health; Volume 13; Issue 10; Pages: 928 |
| ISSN: | 1660-4601 1661-7827 |
| Popis: | Recent studies in PM2.5 sources show that anthropogenic emissions are the main contributors to haze pollution. Due to their essential roles in establishing policies for improving air quality, socioeconomic drivers of PM2.5 levels have attracted increasing attention. Unlike previous studies focusing on the annual PM2.5 concentration (Cyear), this paper focuses on the accumulation phase of PM2.5 during the pollution episode (PMAE) in the Yangtze River Delta in China. This paper mainly explores the spatial variations of PMAE and its links to the socioeconomic factors using a geographical detector and simple linear regression. The results indicated that PM2.5 was more likely to accumulate in more developed cities, such as Nanjing and Shanghai. Compared with Cyear, PMAE was more sensitive to socioeconomic impacts. Among the twelve indicators chosen for this study, population density was an especially critical factor that could affect the accumulation of PM2.5 dramatically and accounted for the regional difference. A 1% increase in population density could cause a 0.167% rise in the maximal increment and a 0.214% rise in the daily increase rate of PM2.5. Additionally, industry, energy consumption, and vehicles were also significantly associated with PM2.5 accumulation. These conclusions could serve to remediate the severe PM2.5 pollution in China. |
| Databáze: | OpenAIRE |
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