Spatiotemporal Pattern of Fine Particulate Matter and Impact of Urban Socioeconomic Factors in China
文献类型：期刊论文
| 作者 | Shi, Tuo1,2,3; Liu, Miao1; Hu, Yuanman1; Li, Chunlin1; Zhang, Chuyi1,2; Ren, Baihui1,4 |
| 刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
 |
| 出版日期 | 2019-04-01 |
| 卷号 | 16期号:7页码:15 |
| 关键词 | fine particulate matter socioeconomic factor land use distribution pattern |
| ISSN号 | 1660-4601 |
| DOI | 10.3390/ijerph16071099 |
| 英文摘要 | Frequent hazy weather has been one of the most obvious air problems accompanying China's rapid urbanization. As one of the main components of haze pollution, fine particulate matter (PM2.5), which severely affects environmental quality and people's health, has attracted wide attention. This study investigated the PM2.5 distribution, changing trends and impact of urban factors based on remote-sensing PM2.5 concentration data from 2000 to 2015, combining land-use data and socioeconomic data, and using the least-squares method and structural equation model (SEM). The results showed that the high concentration of PM2.5 in China was mainly concentrated in the eastern part of China and Sichuan Province. The trends of the PM2.5 concentration in eastern part and Northeast China, Sichuan, and Guangxi Provinces were positive. Meanwhile, the ratios of increasing trends were strongest in built-up land and agricultural land, and the decreasing trends were strongest in forest and grassland, but the overall trends were still growing. The SEM results indicated that economic factors contributed most to PM2.5 pollution, followed by demographic factors and spatial factors. Among all observed variables, the secondary industrial GDP had the highest impact on PM2.5 pollution. Based on the above results, PM2.5 pollution remains an important environmental issue in China at present and even in the future. It is necessary for decision-makers to make actions and policies from macroscopic and microscopic, long-term and short-term aspects to reduce pollution. |
| 资助项目 | China National R&D Program "ecological risk management and spatial pattern optimization in urban area"[2017YFC0505704] ; National Natural Science Foundation of China[41730647] ; National Natural Science Foundation of China[41671184] ; National Natural Science Foundation of China[41671185] |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| 语种 | 英语 |
| WOS记录号 | WOS:000465595800012 |
| 出版者 | MDPI |
| 源URL | [http://210.72.129.5/handle/321005/124049]  |
| 专题 | 中国科学院沈阳应用生态研究所 |
| 通讯作者 | Liu, Miao |
| 作者单位 | 1.Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Management, 72 Wenhua Rd, Shenyang 110016, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, 19 Yuquan Rd, Beijing 100049, Peoples R China 3.Univ Toronto, Dept Geog & Planning, 3359 Mississauga Rd, Mississauga, ON L5L 1C6, Canada 4.Shenyang Agr Univ, Dept Hort, 120 Dongling Rd, Shenyang 110866, Liaoning, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Tuo,Liu, Miao,Hu, Yuanman,et al. Spatiotemporal Pattern of Fine Particulate Matter and Impact of Urban Socioeconomic Factors in China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2019,16(7):15. |
| APA | Shi, Tuo,Liu, Miao,Hu, Yuanman,Li, Chunlin,Zhang, Chuyi,&Ren, Baihui.(2019).Spatiotemporal Pattern of Fine Particulate Matter and Impact of Urban Socioeconomic Factors in China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,16(7),15. |
| MLA | Shi, Tuo,et al."Spatiotemporal Pattern of Fine Particulate Matter and Impact of Urban Socioeconomic Factors in China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 16.7(2019):15. |
入库方式： OAI收割
来源：沈阳应用生态研究所
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