Aerosol Optical Characteristics During the Biomass Burning Season in Southeastern Mexico

Carabalí, Giovanni; Ríos, Blanca; Florean-Cruz, Lizeth; Estévez, Héctor; Valdés-Barrón, Mauro; Bonifaz, R.; Riveros-Rosas, David

doi:10.1007/s11270-019-4284-9

Cited by 6 publications

(3 citation statements)

References 58 publications

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“…Airborne Particulate Matter (or PM) is especially important among the numerous pollutants (Vega et al 2010), due to its possible biological effects (Osornio-Vargas et al 2003), related to public health (Santibáñez-Andrade et al 2020). Thus, it is essential to determine PM physical features, such as size or optical properties (Carabalí et al 2019), as well as its chemical composition, including the presence of organic compounds (Amador-Muñoz et al 2011), organic and elemental carbon (Vega et al 1997), ionic species (Edgerton et al 1999), or elemental concentrations (Landsberger and Creatchman 1999).…”

Section: Introductionmentioning

confidence: 99%

A Study of PM2.5 Elemental Composition in Southwest Mexico City and Development of Receptor Models With Positive Matrix Factorization

Hernández-López

Miranda

Múgica-Álvarez

et al. 2020

RICA

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A study of elemental composition of PM2.5 samples collected at the main campus of the Universidad Nacional Autónoma de México, comprising data from 2015, 2016, and 2019, is described. X-ray fluorescence analysis was employed to measure concentrations of up to 19 elements, complemented with ion chromatography for eight ionic species (for samples of 2015 and 2016), and thermo-optical analysis for organic and elemental carbon (for samples of 2015). Positive matrix factorization (PMF) was applied to develop receptor models for each year, to identify polluting sources and their contributions to total mass. Five sources were identified in every case. With the aid of PMF, the influence of biomass burning on a major episode in May, 2019, was recognized. Comparisons with previous studies in this or nearby sites are also presented. It should be noted that only limited compositional data in this site are available since 2005 for the aerosol fine fraction.

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Section: Introductionmentioning

confidence: 99%

A Study of PM2.5 Elemental Composition in Southwest Mexico City and Development of Receptor Models With Positive Matrix Factorization

Hernández-López

Miranda

Múgica-Álvarez

et al. 2020

RICA

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“…Near pristine conditions are observed at the AAO during the rainy season, whereas BB prevails during the dry season 11 , 12 , 31 , 32 . At the altitude of the AAO surrounding areas are dominated by tall grasses.…”

Section: Methods and Instrumentationmentioning

confidence: 99%

Characterization of aerosol particles during a high pollution episode over Mexico City

Carabalí

Villanueva-Macías

Ladino

et al. 2021

Sci Rep

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More than 7 thousand wildfires were recorded over Mexico in 2019, affecting almost 640 thousand hectares. Most of these fires occurred during the spring season generating dense smoke plumes, impacting urban areas in the central part of the Mexican plateau. From May 10 to 17, 2019, biomass burning (BB) plumes affected Mexico City (MC) and diffused across the basin, producing PM2.5 levels ~ 2 times higher than the nation's air quality standards. Average PM2.5 concentrations increased sharply from 29.4 ± 7.2 µg m−3 to 65.1 ± 13.6 µg m−3 when the dense smoke plumes were detected. The higher particle concentration impacted the aerosol optical depth (AOD) as values ~ 3 times greater than the annual mean (0.32 ± 0.12) were measured, which resulted in a 17% loss of global horizontal irradiation (GHI). Under these severe pollution conditions, the visibility (Va) was reduced by ~ 80%. The high incidence of strong absorbent particles, such as soot and tarballs was revealed through electron microscopy and X-ray fluorescence (XRF) analysis. These techniques show chemical similarities between MC aerosols and those from the high-altitude (~ 4010 m. a. g. l.) Altzomoni Atmospheric Observatory, evidencing a strong influence of the BB emissions, suggesting a regional transport of these pollutants.

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“…Near pristine conditions are observed at the AAO during the rainy season, whereas biomass burning (BB) prevails during the dry season 12,13,52,53 . At the altitude of the AAO surrounding areas are dominated by tall grasses.…”

Section: Sampling Site Altzomoni Atmospheric Observatorymentioning

confidence: 99%

Characterization of aerosol particles during a high pollution episode over Mexico City

Carabalí

Villanueva-Macías

Ladino

et al. 2021

Preprint

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More than 7 thousand wildfires were recorded over Mexico in 2019, affecting almost 640 thousand hectares. Most of these fires occurred during the warm-dry season generating dense smoke plumes, impacting urban areas in the central part of the Mexican plateau. From May 10 to 17, 2019, biomass burning (BB) plumes affected Mexico City (MC) and diffused across the basin, drastically reducing visibility. Due to the severity of this high atmospheric pollution (HAP) episode, the local government declared an environmental contingency, warning the population. Fine particle (PM2.5) concentrations were ~ 2 times higher than the nation's air quality standards. Likewise, aerosol optical measurements indicated that visibility was mainly affected by fine aerosol particles. Electron microscopy analysis of aerosol samples obtained during the HAP days shows a high incidence of strong absorbent soot and tarballs (TB). These types of particles were simultaneously observed in MC and at the high-altitude Altzomoni Atmospheric Observatory (~ 4010 m.a.g.l.). Elemental analysis of the particles shows that the composition is dominated by sulfur and potassium, evidencing a strong influence of the BB emissions, but also suggests the presence of urban pollution from MC at the remote Altzomoni site.

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Aerosol Optical Characteristics During the Biomass Burning Season in Southeastern Mexico

Cited by 6 publications

References 58 publications

A Study of PM2.5 Elemental Composition in Southwest Mexico City and Development of Receptor Models With Positive Matrix Factorization

A Study of PM2.5 Elemental Composition in Southwest Mexico City and Development of Receptor Models With Positive Matrix Factorization

Characterization of aerosol particles during a high pollution episode over Mexico City

Characterization of aerosol particles during a high pollution episode over Mexico City

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