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PM2.5 exceedances and source appointment as inputs for an early warning system

Rincon, Gladys; Morantes, Giobertti; Gonzalez, Ahilymar; Buitrago, Yudeisy; Gonzalez, Jean Carlos; Molina, Constanza; Jones, Benjamin

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Authors

Gladys Rincon

Giobertti Morantes

Ahilymar Gonzalez

Yudeisy Buitrago

Jean Carlos Gonzalez

Constanza Molina



Abstract

Between June 2018 and April 2019, a sampling campaign was carried out to collect PM2.5, monitoring meteorological parameters and anthropogenic events in the Sartenejas Valley, Venezuela. We develop a logistic model for PM2.5 exceedances (≥ 12.5 µg m−3). Source appointment was done using elemental composition and morphology of PM by scanning electron microscopy coupled with energy dispersive spectroscopy (SEM–EDS). A proposal of an early warning system (EWS) for PM pollution episodes is presented. The logistic model has a holistic success rate of 94%, with forest fires and motor vehicle flows as significant variables. Source appointment analysis by occurrence of events showed that samples with higher concentrations of PM had carbon-rich particles and traces of K associated with biomass burning, as well as aluminosilicates and metallic elements associated with resuspension of soil dust by motor-vehicles. Quantitative source appointment analysis showed that soil dust, garbage burning/marine aerosols and wildfires are three majority sources of PM. An EWS for PM pollution episodes around the Sartenejas Valley is proposed considering the variables and elements mentioned.

Journal Article Type Article
Acceptance Date Dec 20, 2021
Online Publication Date Feb 22, 2022
Publication Date 2022-12
Deposit Date Feb 15, 2022
Publicly Available Date Feb 23, 2023
Journal Environmental Geochemistry and Health
Print ISSN 0269-4042
Electronic ISSN 1573-2983
Peer Reviewed Peer Reviewed
Volume 44
Pages 4569-4593
DOI https://doi.org/10.1007/s10653-021-01189-2
Keywords Particulate matter, logistic model, SEM-EDS, EWS
Public URL https://nottingham-repository.worktribe.com/output/7468082
Publisher URL https://link.springer.com/article/10.1007/s10653-021-01189-2

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