干旱区生态环境知识资源中心(Arid): Estimation of Particulate Matter Contributions from Desert Outbreaks in Mediterranean Countries (2015-2018) Using the Time Series Clustering Method

Arid

DOI	10.3390/atmos12010005
	Estimation of Particulate Matter Contributions from Desert Outbreaks in Mediterranean Countries (2015-2018) Using the Time Series Clustering Method
	Gomez-Losada, Alvaro; Pires, Jose C. M.
通讯作者	Gomez-Losada, A (corresponding author), Univ Seville, Fac Matemat, Dept Estadist & Invest Operat, Seville 41012, Spain.
来源期刊	ATMOSPHERE
EISSN	2073-4433
出版年	2021
卷号	12 期号:1
英文摘要	North African dust intrusions can contribute to exceedances of the European PM10 and PM2.5 limit values and World Health Organisation standards, diminishing air quality, and increased mortality and morbidity at higher concentrations. In this study, the contribution of North African dust in Mediterranean countries was estimated using the time series clustering method. This method combines the non-parametric approach of Hidden Markov Models for studying time series, and the definition of different air pollution profiles (regimes of concentration). Using this approach, PM10 and PM2.5 time series obtained at background monitoring stations from seven countries were analysed from 2015 to 2018. The average characteristic contributions to PM10 were estimated as 11.6 +/- 10.3 mu g.m(-3) (Bosnia and Herzegovina), 8.8 +/- 7.5 mu g.m(-3) (Spain), 7.0 +/- 6.2 mu g.m(-3) (France), 8.1 +/- 5.9 mu g.m(-3) (Croatia), 7.5 +/- 5.5 mu g.m(-3) (Italy), 8.1 +/- 7.0 mu g.m(-3) (Portugal), and 17.0 +/- 9.8 mu g.m(-3) (Turkey). For PM2.5, estimated contributions were 4.1 +/- 3.5 mu g.m(-3) (Spain), 6.0 +/- 4.8 mu g.m(-3) (France), 9.1 +/- 6.4 mu g.m(-3) (Croatia), 5.2 +/- 3.8 mu g.m(-3) (Italy), 6.0 +/- 4.4 mu g.m(-3) (Portugal), and 9.0 +/- 5.6 mu g.m(-3) (Turkey). The observed PM2.5/PM10 ratios were between 0.36 and 0.69, and their seasonal variation was characterised, presenting higher values in colder months. Principal component analysis enabled the association of background sites based on their estimated PM10 and PM2.5 pollution profiles.
英文关键词	African dust air pollution hidden Markov models particulate matter PM2.5/PM10 ratio principal component analysis
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000609738600001
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347738
作者单位	[Gomez-Losada, Alvaro] Univ Seville, Fac Matemat, Dept Estadist & Invest Operat, Seville 41012, Spain; [Pires, Jose C. M.] Univ Porto, Fac Engn, LEPABE Lab Proc Engn Environm Biotechnol & Energy, Rua Dr Roberto Frias, P-4200465 Porto, Portugal
推荐引用方式 GB/T 7714	Gomez-Losada, Alvaro,Pires, Jose C. M.. Estimation of Particulate Matter Contributions from Desert Outbreaks in Mediterranean Countries (2015-2018) Using the Time Series Clustering Method[J],2021,12(1).
APA	Gomez-Losada, Alvaro,&Pires, Jose C. M..(2021).Estimation of Particulate Matter Contributions from Desert Outbreaks in Mediterranean Countries (2015-2018) Using the Time Series Clustering Method.ATMOSPHERE,12(1).
MLA	Gomez-Losada, Alvaro,et al."Estimation of Particulate Matter Contributions from Desert Outbreaks in Mediterranean Countries (2015-2018) Using the Time Series Clustering Method".ATMOSPHERE 12.1(2021).