Temporal and Spatial Patterns of China's Main Air Pollutants: Years 2014 and 2015
文献类型:期刊论文
作者 | Zhou, Tiancai1,2; Sun, Jian2; Yu, Huan1 |
刊名 | ATMOSPHERE
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出版日期 | 2017-08-01 |
卷号 | 8期号:8页码:15 |
关键词 | air pollutants dynamics spatial patterns generalized additive model policy recommendations |
ISSN号 | 2073-4433 |
DOI | 10.3390/atmos8080137 |
通讯作者 | Sun, Jian(sunjian@igsnrr.ac.cn) ; Yu, Huan(yuhuan0622@126.com) |
英文摘要 | China faces unprecedented air pollution today. In this study, a database (SO2, NO2, CO, O-3, PM2.5 (particulate matter with aerodynamic diameter less than 2.5 mu m), and PM10 (particulate matter with aerodynamic diameter less than 10 mu m) was developed from recordings in 188 cities across China in 2014 and 2015 to explore the spatial-temporal characteristics, relationships among atmospheric contaminations, and variations in these contaminants. Across China, the results indicated that the average monthly concentrations of air pollutants were higher from November to February than in other months. Further, the spatial patterns of air pollutants showed that the most polluted areas were located in Shandong, Henan, and Shanxi provinces, and the Beijing-Tianjin-Hebei region. In addition, the average daily concentrations of air pollutants were also higher in spring and winter, and significant relationships between the principal air pollutants (negative for O-3 and positive for the others) were found. Finally, the results of a generalized additive model (GAM) indicated that the concentrations of PM10 and O-3 fluctuate dynamically; there was a consistent increase in CO and NO2, and PM2.5 and SO2 showed a sharply decreasing trend. To minimize air pollution, open biomass burning should be prohibited, the energy efficiency of coal should be improved, and the full use of clean fuels (nuclear, wind, and solar energy) for municipal heating should be encouraged from November to February. Consequently, an optimized program of urban development should be highlighted. |
WOS关键词 | YANGTZE-RIVER DELTA ; FINE PARTICULATE MATTER ; AEROSOL OPTICAL-PROPERTIES ; REGIONAL HAZE EVENT ; SOURCE APPORTIONMENT ; FORMATION MECHANISM ; ENERGY-CONSUMPTION ; ECONOMIC-GROWTH ; HEALTH-RISK ; SUMMER HAZE |
资助项目 | Ministry of Environmental Protection of the People's Republic of China ; West Light Foundation of The Chinese Academy of Sciences ; Key Laboratory of Mountain Surface Processes and Eco-regulation |
WOS研究方向 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:000408757800022 |
出版者 | MDPI AG |
资助机构 | Ministry of Environmental Protection of the People's Republic of China ; West Light Foundation of The Chinese Academy of Sciences ; Key Laboratory of Mountain Surface Processes and Eco-regulation |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/61759] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Sun, Jian; Yu, Huan |
作者单位 | 1.Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Sichuan, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Tiancai,Sun, Jian,Yu, Huan. Temporal and Spatial Patterns of China's Main Air Pollutants: Years 2014 and 2015[J]. ATMOSPHERE,2017,8(8):15. |
APA | Zhou, Tiancai,Sun, Jian,&Yu, Huan.(2017).Temporal and Spatial Patterns of China's Main Air Pollutants: Years 2014 and 2015.ATMOSPHERE,8(8),15. |
MLA | Zhou, Tiancai,et al."Temporal and Spatial Patterns of China's Main Air Pollutants: Years 2014 and 2015".ATMOSPHERE 8.8(2017):15. |
入库方式: OAI收割
来源:地理科学与资源研究所
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