Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.scitotenv.2019.04.298 |
A seriously sand storm mixed air-polluted area in the margin of Tarim Basin: Temporal-spatial distribution and potential sources | |
Yu, Hao1,2; Yang, Wen1; Wang, Xinhua1; Yin, Baohui1; Zhang, Xian3; Wang, Jing1; Gu, Chao4; Ming, Jing; Geng, Chunmei1; Bai, Zhipeng1,2 | |
通讯作者 | Geng, Chunmei ; Bai, Zhipeng |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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ISSN | 0048-9697 |
EISSN | 1879-1026 |
出版年 | 2019 |
卷号 | 676页码:436-446 |
英文摘要 | In order to analyze the temporal-spatial distribution characteristics of PM2.5, PM10, SO2, NO2, CO and O-3 in five cities and the potential sources of PM10 in southern Xinjiang during 2016, we collected one year officially released data for analysis. The average PM10, PM2.5, SO2, NO2, O(3 )and CO concentrations were 289 +/- 363, 99 +/- 106, 17 +/- 9, 29 +/- 11, 65 +/- 25 mu g m(-3) and 1.3 +/- 0.6 mg m(-3 )in southern Xinjiang in 2016, respectively. The air pollutants presented distinct seasonal and spatial distribution characteristics. During sandstorm process, the particulate matters (PM) concentrations increased abruptly, with the PM(10)( )and PM2.5 maximum concentrations exceeding 1000 and 500 mu g m(-3) in each city. The backward trajectory results showed that the air masses in Akesu, Kuria, Hotan, Kashi and Atushi were mainly from the Bayingol Mongolian Autonomous Prefecture, Kyrgyzstan, Kizilesu Kirgiz Autonomous Prefecture and Taklimalcan Desert (M). In addition, TD was the main potential contributor to ambient PM10 in five cities during the dust season (DS), with a weighted potential source contribution function (WPSCF) > 0.9. While the trajectories of air masses from TD, Bayingol Mongolian Autonomous Prefecture, Urumqi-Changji Area and local emission were potential sources contributing to PM2.5 in these five cities during DS, with a WPSCF > 0.7. Moreover, the high weighted concentration weighted trajectory (WCWT) values were distributed in the Tarim basin, with PM10 > 700 mu g m(-3), however, the local emission and long distance transport contributed to the PM2.5 > 160 mu g m(-3) for five cities. This study comprehensively analyzes the pollution characteristics of air pollutants in five important cities in the southern margin of the Tarim Basin for the first time, and will provide an important reference basis for the prevention and control of air pollution in southern Xinjiang. (C) 2019 Elsevier B.V. All rights reserved. |
英文关键词 | Air pollutants Temporal and spatial variations Source Southern Xinjiang |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000468188300042 |
WOS关键词 | PARTICULATE MATTER PM2.5 ; CHEMICAL-COMPOSITION ; SOURCE APPORTIONMENT ; DUST STORMS ; NORTH CHINA ; PM10 CONCENTRATIONS ; OZONE ; CITY ; QUALITY ; URUMQI |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
来源机构 | 北京师范大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/218697 |
作者单位 | 1.Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China; 2.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China; 3.Tianjin Normal Univ, Sch Geog & Environm Sci, Tianjin 300387, Peoples R China; 4.Xiniiang Uygur Autonomous Reg Environm Monitoring, Urunichi 830011, Xinjiang, Peoples R China |
推荐引用方式 GB/T 7714 | Yu, Hao,Yang, Wen,Wang, Xinhua,et al. A seriously sand storm mixed air-polluted area in the margin of Tarim Basin: Temporal-spatial distribution and potential sources[J]. 北京师范大学,2019,676:436-446. |
APA | Yu, Hao.,Yang, Wen.,Wang, Xinhua.,Yin, Baohui.,Zhang, Xian.,...&Bai, Zhipeng.(2019).A seriously sand storm mixed air-polluted area in the margin of Tarim Basin: Temporal-spatial distribution and potential sources.SCIENCE OF THE TOTAL ENVIRONMENT,676,436-446. |
MLA | Yu, Hao,et al."A seriously sand storm mixed air-polluted area in the margin of Tarim Basin: Temporal-spatial distribution and potential sources".SCIENCE OF THE TOTAL ENVIRONMENT 676(2019):436-446. |
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