Non-parametric approach to analysing PAHs data in atmospheric settled particles: Valencia City, Venezuela

Gamboa, Adriana C.; Laurent-Singh, Carolina; Fernández, Raiza; Santana, Manuel Martínez; Estéves, Ivan

doi:10.1080/00207233.2019.1686925

Cited by 1 publication

(1 citation statement)

References 37 publications

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“…No recent studies have been conducted in the study area; however, the bibliography allows for the identification of vehicular activities as relevant in characterizing soil dust in the Sartenejas Valley. Some studies conducted in other parts of the country include Gamboa et al ( 2020 ), Gamboa and Álvarez ( 2018 ) and Machado et al ( 2008 ). Interaction of PM 2.5 and other urban sediments is a topic that has been studied in Venezuela to little extent.…”

Section: Resultsmentioning

confidence: 99%

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

Rincón

Morantes

Gonzalez

et al. 2022

Environ Geochem Health

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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.

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Section: Resultsmentioning

confidence: 99%