KMS Institute Of Geographic Sciences And Natural Resources Research,CAS
Pattern of Spatial Distribution and Temporal Variation of Atmospheric Pollutants during 2013 in Shenzhen, China | |
Xia, Xiaolin1; Qi, Qingwen1,2![]() ![]() ![]() | |
2017 | |
Source Publication | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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ISSN | 2220-9964 |
Volume | 6Issue:1Pages:15 |
Corresponding Author | Qi, Qingwen(qiqw_igsnrr@outlook.com) |
Abstract | Air pollution caused by atmospheric particulate and gaseous pollutants has drawn broad public concern globally. In this paper, the spatial-temporal distributions of major air pollutants in Shenzhen from March 2013 to February 2014 are discussed. In this study, ground-site monitoring data from 19 monitoring sites was used and spatial interpolation and spatial autocorrelation methods were applied to analyze both spatial and temporal characteristics of air pollutants in Shenzhen City. During the study period, the daily average concentrations of Particulate Matter (PM10 and PM2.5) ranged from 16-189 mu g/m(3) and 10-136 mu g/m(3), respectively, with 13 and 44 over-limit days, indicating that particulate matter was the primary air pollutant in Shenzhen. The highest PM occupation in the polluted air was observed in winter, indicating that fine particulate pollution was most serious in winter. Meanwhile, seasonal agglomeration patterns for six kinds of air pollutants showed that Guangming, Baoan, Nanshan, and the northern part of Longgang were the most polluted areas and PMs were their primary air pollutants. In addition, wind scale and rainfall played an important role in dissipating air pollutant in Shenzhen. The wind direction impacted the air pollution level in Shenzhen in multiple ways: the highest concentrations for all air pollutants all occurred on days with a northeast wind; the second highest ones appeared on the days with no wind. The concentrations on days with north-related winds are higher on average than those of days with south-related winds. |
Keyword | air pollutant air quality index (AQI) seasonal variations spatial autocorrelation spatial-temporal pattern |
DOI | 10.3390/ijgi6010002 |
WOS Keyword | PEARL RIVER DELTA ; FINE PARTICULATE MATTER ; WATER-SOLUBLE IONS ; NITROGEN-DIOXIDE ; SOURCE APPORTIONMENT ; SEASONAL-VARIATIONS ; SOURCE AREAS ; PM2.5 MASS ; POLLUTION ; REGION |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Natural Science Foundation of China[41471414] ; National Natural Science Foundation of China[41201412] ; Young Talents Training Fund of State Key Laboratory of Resources and Environment Information System of China[O8R8B6E0YA] |
Funding Organization | National Natural Science Foundation of China ; Young Talents Training Fund of State Key Laboratory of Resources and Environment Information System of China |
WOS Research Area | Physical Geography ; Remote Sensing |
WOS Subject | Geography, Physical ; Remote Sensing |
WOS ID | WOS:000392983900002 |
Publisher | MDPI AG |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.igsnrr.ac.cn/handle/311030/65114 |
Collection | 中国科学院地理科学与资源研究所 |
Corresponding Author | Qi, Qingwen |
Affiliation | 1.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Shenzhen Environm Monitoring Ctr, Shenzhen 518034, Peoples R China |
Recommended Citation GB/T 7714 | Xia, Xiaolin,Qi, Qingwen,Liang, Hong,et al. Pattern of Spatial Distribution and Temporal Variation of Atmospheric Pollutants during 2013 in Shenzhen, China[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2017,6(1):15. |
APA | Xia, Xiaolin.,Qi, Qingwen.,Liang, Hong.,Zhang, An.,Jiang, Lili.,...&Huang, Yuanfeng.(2017).Pattern of Spatial Distribution and Temporal Variation of Atmospheric Pollutants during 2013 in Shenzhen, China.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,6(1),15. |
MLA | Xia, Xiaolin,et al."Pattern of Spatial Distribution and Temporal Variation of Atmospheric Pollutants during 2013 in Shenzhen, China".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 6.1(2017):15. |
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