Literature DB >> 32333116

PM2.5 monitoring during a 10-year period: relation between elemental concentration and meteorological conditions.

Pamela B Sanguineti1,2, Bethania L Lanzaco1,2, María Laura López3,4, Mariana Achad1,2, Gustavo G Palancar1,2, Luis E Olcese1,2, Beatriz M Toselli5,6.   

Abstract

Four monitoring campaigns between the years 2009 and 2018 were conducted in Córdoba City, Argentina, to detect toxic metals in PM2.5 samples. The concentrations of As, Cd, Pb, Cu, Cr, Mn, Hg, Ni, and Zn, together with several other elements, were measured. The average metal concentrations followed the order: Zn > Cr > Cu > Mn > Pb > V > Ni > As ~ Sb > Cd > Tl > Pd > Hg > Pt. From the analysis of the temporal variation in the elemental concentration of PM2.5, results show seasonal variations that reach, in general, a maximum in the coldest seasons and a minimum in the warmer seasons. These differences could be explained by the different weather conditions during each season, the influence of the El Niño/La Niña regimen, and the presence of fires on certain sampling dates. The source apportionment analysis performed for the period 2017-2018 showed the contribution to PM2.5 of combustion of heavy fuel oil and diesel-powered vehicles, pet coke, metallurgical and nonferrous industries, paint plant factory, traffic, and natural sources like the soil and road dust. This last analysis completed the assignment of sources for the 10-year period of study. Thus, the results of this work contribute to the implementation of emission reduction strategies in order to decrease the impact of PM2.5 on the environment and the human health.

Entities:  

Keywords:  El Niño-La Niña regimen; Elemental composition; PM2.5; PMF; Toxic metals

Mesh:

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Year:  2020        PMID: 32333116     DOI: 10.1007/s10661-020-08288-0

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  14 in total

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4.  Dissimilar effects of two El Niño types on PM2.5 concentrations in East Asia.

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5.  Source apportionment of PM₁₀ and PM₂.₅ in a desert region in northern Chile.

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Journal:  Sci Total Environ       Date:  2012-12-29       Impact factor: 7.963

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Journal:  Sci Total Environ       Date:  2012-08-09       Impact factor: 7.963

7.  Assessment of PM2.5 sources and their corresponding level of uncertainty in a coastal urban area using EPA PMF 5.0 enhanced diagnostics.

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Journal:  Sci Total Environ       Date:  2016-10-14       Impact factor: 7.963

8.  Source identification and apportionment of PM2.5 and PM2.5-10 in iron and steel scrap smelting factory environment using PMF, PCFA and UNMIX receptor models.

Authors:  Lasun T Ogundele; Oyediran K Owoade; Felix S Olise; Philip K Hopke
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Review 10.  Near-highway pollutants in motor vehicle exhaust: a review of epidemiologic evidence of cardiac and pulmonary health risks.

Authors:  Doug Brugge; John L Durant; Christine Rioux
Journal:  Environ Health       Date:  2007-08-09       Impact factor: 5.984

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