气候变化领域集成服务门户(CCPortal): High PM10 concentrations in the city of Buenos Aires and their relationship with meteorological conditions

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DOI	10.1016/j.atmosenv.2020.117773
	High PM10 concentrations in the city of Buenos Aires and their relationship with meteorological conditions
	Pineda Rojas A.L.; Borge R.; Mazzeo N.A.; Saurral R.I.; Matarazzo B.N.; Cordero J.M.; Kropff E.
发表日期	2020
ISSN	1352-2310
卷号	241
英文摘要	In this work, the first long-term (eight years) record of hourly concentrations of carbon monoxide (CO), nitrogen dioxide (NO2) and particulate matter with diameter less than 10 μm (PM10) from three sites in the city of Buenos Aires is analysed. Considering the short-term guidelines suggested by the WHO, the daily mean PM10 concentrations present a relatively large number of exceedances at the three sites. Different statistical techniques are combined to study the relationship between these relatively high PM10 concentrations and relevant surface meteorological variables. For all pollutants and sites, wind speed shows the largest differences between the lowest and highest concentration quartiles. To further explore its role on daily mean PM10 concentration, a k-means algorithm is applied, grouping days with similar surface 1h-wind sequences. Five wind sequence clusters are found, presenting distinctive air quality data features. Two clusters (1 and 2) show that PM10 exceedances occurring with winds entering the city from the river represent between 10 and 21% of total events at the three sites. The frequency of exceedance under these conditions decreases with the distance to the coast. For cluster 1, the hourly PM10 concentration profile and its associated daily wind sequence suggest an important contribution to exceedance events from the city's southernmost power plant. Two clusters (3 and 4), exhibiting continental winds, account for 49–59% of the exceedances and co-occur with relatively drier air conditions. The correlation between CO and PM10 for days belonging to cluster 3 supports the hypothesis of a potential remote or distributed source contribution with SW winds. For cluster 4, differences among sites in the number of events under NNW winds suggest an important contribution from the city's widest avenue to the PM10 levels at the most coastal site. A large contribution coming from urban sources is also indicated for these winds. Finally, cluster 5, exhibiting low wind speed sequences, accounts for 23–33% of the exceedances at the three sites. The average PM10 concentration increases with persistence of this cluster, which could be a driver for exceedances. These results contribute to show the importance of simple methods such as clustering analysis to obtain insights into air quality features such as exceedances and their potential drivers. They also suggest that further efforts in monitoring, modelling and emission estimates may help to better understand local, urban and regional source contributions to these events in the city of Buenos Aires. © 2020 Elsevier Ltd
关键词	Air quality data Buenos Aires Exceedance conditions Meteorological data
语种	英语
scopus关键词	Air quality; Carbon monoxide; Nitrogen oxides; Wind; Clustering analysis; Distributed sources; Meteorological condition; Meteorological variables; Nitrogen dioxides; Particulate Matter; PM10 concentration; Statistical techniques; K-means clustering; carbon monoxide; nitrogen dioxide; air quality; carbon monoxide; concentration (composition); guideline; nitrogen dioxide; particulate matter; power plant; statistical analysis; wind velocity; air pollutant; air quality; algorithm; Article; Brazil; meteorology; particle size; particulate matter; priority journal; wind; Buenos Aires
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248940
作者单位	Centro de Investigaciones del Mar y la Atmósfera, UMI-IFAECI/CNRS, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, CONICET, UBA, Buenos Aires, Argentina; Laboratorio de Modelización Ambiental, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Spain; Departamento de Ingeniería Química, Facultad Regional Avellaneda, Universidad Tecnológica Nacional, CONICET, UTN, Buenos Aires, Argentina; Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina; Fundación Instituto Leloir - IIBBA/CONICET, Buenos Aires, Argentina
推荐引用方式 GB/T 7714	Pineda Rojas A.L.,Borge R.,Mazzeo N.A.,et al. High PM10 concentrations in the city of Buenos Aires and their relationship with meteorological conditions[J],2020,241.
APA	Pineda Rojas A.L..,Borge R..,Mazzeo N.A..,Saurral R.I..,Matarazzo B.N..,...&Kropff E..(2020).High PM10 concentrations in the city of Buenos Aires and their relationship with meteorological conditions.ATMOSPHERIC ENVIRONMENT,241.
MLA	Pineda Rojas A.L.,et al."High PM10 concentrations in the city of Buenos Aires and their relationship with meteorological conditions".ATMOSPHERIC ENVIRONMENT 241(2020).