The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration.
The green development of coastal urban agglomerations, which are strategic core areas of national economic growth in China, has become a major focus of both academics and government agencies. In this paper, China's coastal urban agglomeration is taken as the research area, aiming at the serious...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2020-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0237863 |
| _version_ | 1828958612997799936 |
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| author | Yongjie Shan Xujing Wang Zhenbo Wang Longwu Liang Jiaxin Li Jingwen Sun |
| author_facet | Yongjie Shan Xujing Wang Zhenbo Wang Longwu Liang Jiaxin Li Jingwen Sun |
| author_sort | Yongjie Shan |
| collection | DOAJ |
| description | The green development of coastal urban agglomerations, which are strategic core areas of national economic growth in China, has become a major focus of both academics and government agencies. In this paper, China's coastal urban agglomeration is taken as the research area, aiming at the serious air pollution problem of coastal urban agglomeration, geographic information system (ArcGIS10.2) spatial analysis and the spatial Dubin model were applied to National Aeronautics and Space Administration atmospheric remote sensing image inversion fine particulate matter (PM2.5) data from 2010-2016 to reveal the temporal and spatial evolution characteristics and Influence mechanism of PM2.5 in China's coastal urban agglomerations, with a view to providing a reference value for coordinating air pollution in the coastal cities of the world. From 2010-2016, the PM2.5 concentration in China's coastal urban agglomerations decreased as a whole, and large spatial differences in PM2.5 concentration were observed in China's coastal urban agglomerations; the core high-pollution areas were the Beijing-Tianjin-Hebei, Shandong Peninsula, and Yangtze River Delta urban agglomerations. Large spatial differences in PM2.5 concentration were also observed within individual urban agglomerations, with higher PM2.5 concentrations found in the northern parts of the urban agglomerations. Significant spatial autocorrelation and spatial heterogeneity were observed among PM2.5-polluted cities in China's coastal urban agglomerations. The northern coastal urban agglomerations formed a relatively stable and continuous high-pollution zone. The spatial Dubin model was used to analyze the driving factors of PM2.5 pollution in coastal urban agglomerations. Together, meteorological, socioeconomic, pollution source, and ecological factors affected the spatial characteristics of PM2.5 pollution during the study period, and the overall effect was a mixed effect with significant spatial variation. Among them, meteorological factors were the greatest driver of PM2.5 pollution. In the short term, the rapid increase in population density, industrial emissions, industrial energy consumption, and total traffic emissions were the important driving factors of PM2.5 pollution in the coastal urban agglomerations of China. |
| first_indexed | 2024-12-14T08:50:32Z |
| format | Article |
| id | doaj.art-0a0833f8378c4e7d8216bc7f0995f005 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-14T08:50:32Z |
| publishDate | 2020-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-0a0833f8378c4e7d8216bc7f0995f0052022-12-21T23:09:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01159e023786310.1371/journal.pone.0237863The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration.Yongjie ShanXujing WangZhenbo WangLongwu LiangJiaxin LiJingwen SunThe green development of coastal urban agglomerations, which are strategic core areas of national economic growth in China, has become a major focus of both academics and government agencies. In this paper, China's coastal urban agglomeration is taken as the research area, aiming at the serious air pollution problem of coastal urban agglomeration, geographic information system (ArcGIS10.2) spatial analysis and the spatial Dubin model were applied to National Aeronautics and Space Administration atmospheric remote sensing image inversion fine particulate matter (PM2.5) data from 2010-2016 to reveal the temporal and spatial evolution characteristics and Influence mechanism of PM2.5 in China's coastal urban agglomerations, with a view to providing a reference value for coordinating air pollution in the coastal cities of the world. From 2010-2016, the PM2.5 concentration in China's coastal urban agglomerations decreased as a whole, and large spatial differences in PM2.5 concentration were observed in China's coastal urban agglomerations; the core high-pollution areas were the Beijing-Tianjin-Hebei, Shandong Peninsula, and Yangtze River Delta urban agglomerations. Large spatial differences in PM2.5 concentration were also observed within individual urban agglomerations, with higher PM2.5 concentrations found in the northern parts of the urban agglomerations. Significant spatial autocorrelation and spatial heterogeneity were observed among PM2.5-polluted cities in China's coastal urban agglomerations. The northern coastal urban agglomerations formed a relatively stable and continuous high-pollution zone. The spatial Dubin model was used to analyze the driving factors of PM2.5 pollution in coastal urban agglomerations. Together, meteorological, socioeconomic, pollution source, and ecological factors affected the spatial characteristics of PM2.5 pollution during the study period, and the overall effect was a mixed effect with significant spatial variation. Among them, meteorological factors were the greatest driver of PM2.5 pollution. In the short term, the rapid increase in population density, industrial emissions, industrial energy consumption, and total traffic emissions were the important driving factors of PM2.5 pollution in the coastal urban agglomerations of China.https://doi.org/10.1371/journal.pone.0237863 |
| spellingShingle | Yongjie Shan Xujing Wang Zhenbo Wang Longwu Liang Jiaxin Li Jingwen Sun The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration. PLoS ONE |
| title | The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration. |
| title_full | The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration. |
| title_fullStr | The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration. |
| title_full_unstemmed | The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration. |
| title_short | The pattern and mechanism of air pollution in developed coastal areas of China: From the perspective of urban agglomeration. |
| title_sort | pattern and mechanism of air pollution in developed coastal areas of china from the perspective of urban agglomeration |
| url | https://doi.org/10.1371/journal.pone.0237863 |
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