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

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

doi:10.1007/s10653-021-01189-2

Cited by 7 publications

(2 citation statements)

References 91 publications

(114 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The particle size of this type varied in the range of 1-5 μm. These particles are observed in cities with large vehicular traffic and are associated with exhaust emissions from automobiles using gasoline or diesel combustibles [18,19]. Particles in the form of filaments containing aluminosilicate particles enriched with oxides of titanium and other metals were also found (Fig.…”

Section: Characteristic Pm10 Collected From Sitementioning

confidence: 92%

Microscopic Investigation on Pm10 and Air-Cleaning Coatings Based on Nano-Tio2

Rakova¹

2023

GEOMATE

View full text Add to dashboard Cite

Fine atmospheric particles have physiological toxicity affecting human health. This study investigates the compositional and morphological properties of the particulate matter smaller than 10 μm (PM 10 ) collected from five different monitoring stations in Chelyabinsk, Russia. We used scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS) for the investigation of PM 10 . In order to determine the possible sources of emissions of atmospheric particulate matter, a principal component analysis (PCA) was performed. The results revealed the presence of atmospheric PM 10, such as aluminosilicates, calcium particles, sulfates, and metallic particles differentiated on the basis of the chemical composition and morphological parameters. Sulfate PM 10 with metal inclusions contained Mn, Ti, Zn, Cu, and Cr. It obtained a higher content of potentially toxic elements in traffic-related S-rich particles compared with industrial-related PM 10 . It was the result of the solubilization of metals in airborne particles and increased toxicity. We obtained new coatings based on titanium nanooxide synthesized by the peroxy method for air purification from PM 2.5 and PM 10 . They were macroporous and very effective means against industrial dust and PM air pollution.

show abstract

Section: Characteristic Pm10 Collected From Sitementioning

confidence: 92%

Microscopic Investigation on Pm10 and Air-Cleaning Coatings Based on Nano-Tio2

Rakova¹

2023

GEOMATE

View full text Add to dashboard Cite

show abstract

“…The dependent variable for RLog is defined as the discretization of the exceedance of the concentration for PM i -24 h (EPM 1 -24 h or EPM 2.5 -24 h), setting a value equal to "1" when the concentration of PM i -24 h exceeds or equals 15 µg m −3 and a value of "0" if PM i -24 h is less than 15 µg m −3 . To discretize the values of PM i -24 h in binary values, the approach of Rincon et al (2022) was used. The concentration limit value of PM 2.5 -24 h\15 µg m −3 (WHO, 2021) was used as a reference for establishing a threshold for exceedances of PM 1 and PM 2.5 .…”

Section: Exceedance's Analysismentioning

confidence: 99%

Spatio-temporal statistical analysis of PM1 and PM2.5 concentrations and their key influencing factors at Guayaquil city, Ecuador

Rincón

Morantes

Roa-López

et al. 2022

Stoch Environ Res Risk Assess

Self Cite

View full text Add to dashboard Cite

Guayaquil, Ecuador, is in a tropical area on the equatorial Pacific Ocean coast of South America. Since 2008 the city has been increasing its population, vehicle fleet and manufacturing industries. Within the city there are various industrial and urban land uses sharing the same space. With regard to air quality there is a lack of government information on it. Therefore, the research’s aim was to investigate the spatio-temporal characteristics of PM1 and PM2.5 concentrations and their main influencing factors. For this, both PM fractions were sampled and a bivariate analysis (cross-correlation and Pearson's correlation), multivariate linear and logistic regression analysis was applied. Hourly and daily PM1 and PM2.5 were the dependent variables, and meteorological variables, occurrence of events and characteristics of land use were the independent variables. We found 48% exceedances of the PM2.5-24 h World Health Organization 2021 threshold’s, which questions the city’s air quality. The cross-correlation function and Pearson’s correlation analysis indicate that hourly and daily temperature, relative humidity, and wind speed have a complex nonlinear relationship with PM concentrations. Multivariate linear and logistic regression models for PM1-24 h showed that rain and the flat orography of cement plant sector decrease concentrations; while unusual PM emission events (traffic jams and vegetation-fires) increase them. The same models for PM2.5-24 h show that the dry season and the industrial sector (strong activity) increase the concentration of PM2.5-24 h, and the cement plant decrease them. Public policies and interventions should aim to regulate land uses while continuously monitoring emission sources, both regular and unusual.

show abstract

An ephemeral increase in organic carbon, ion ratios, and heavy metal-containing fine particles was screened in a maritime demarcation zone between North and South Korea

Geng

Jung

et al. 2023

Atmospheric Environment

View full text Add to dashboard Cite

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

Cited by 7 publications

References 91 publications

Microscopic Investigation on Pm10 and Air-Cleaning Coatings Based on Nano-Tio2

Microscopic Investigation on Pm10 and Air-Cleaning Coatings Based on Nano-Tio2

Spatio-temporal statistical analysis of PM1 and PM2.5 concentrations and their key influencing factors at Guayaquil city, Ecuador

An ephemeral increase in organic carbon, ion ratios, and heavy metal-containing fine particles was screened in a maritime demarcation zone between North and South Korea

Contact Info

Product

Resources

About