Airborne particle accumulation and loss in pollution-tolerant lichens and its magnetic quantification

Chaparro, Marcos A. E.

doi:10.1016/j.envpol.2021.117807

Cited by 8 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, it is essential to note that there are no important differences in their magnetic mineral characteristics, i.e., H cr and SIRM/χ parameters, between these sites. These differences could be attributed to the coincidence of emission sources of particulate matter and the resuspended soil particles in the different zones, while the variation in magnetic material concentration may be a characteristic related to the different geographical zones, meteorological conditions, and the specific species' ability to accumulate AMP [5].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A Fuzzy-Based Analysis of Air Particle Pollution Data: An Index IMC for Magnetic Biomonitoring

Chaparro,

Molinari

2024

Atmosphere

Self Cite

View full text Add to dashboard Cite

Airborne magnetic particles may be harmful because of their composition, morphology, and association with potentially toxic elements that may be observed through relationships between magnetic parameters and pollution indices, such as the Tomlinson pollution load index (PLI). We present a fuzzy-based analysis of magnetic biomonitoring data from four Latin American cities, which allows us to construct a magnetic index of contamination (IMC). This IMC uses four magnetic parameters, i.e., magnetic susceptibility χ, saturation isothermal remanent magnetization SIRM, coercivity of remanence Hcr, and SIRM/χ, and proposes summarizing the information to assess an area based exclusively on magnetic parameters more easily. The fuzzy inference system membership functions are built from the standardization of the data to become independent of the values. The proposed IMC is calculated using the baseline values for each case study, similar to the PLI. The highest IMC values were obtained in sites close to industrial areas, and in contrast, the lowest ones were observed in residential areas far from avenues or highways. The linear regression model between modeled IMC and PLI data yielded robust correlations of R2 > 0.85. The IMC is proposed as a complementary tool for air particle pollution and is a cost-effective magnetic approach for monitoring areas.

show abstract

Section: Resultsmentioning

confidence: 99%

“…Magnetic biomonitoring (MB), i.e., using biomonitors and magnetic measurements for air particle pollution monitoring [5], is an emerging methodology for studying PM pollution problems. Airborne magnetic particles (AMP) may be related to morbidity from respiratory, cardiovascular, and neurodegenerative diseases [6].…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy-Based Analysis of Air Particle Pollution Data: An Index IMC for Magnetic Biomonitoring

Chaparro,

Molinari

2024

Atmosphere

Self Cite

View full text Add to dashboard Cite

show abstract

“…Rock magnetism methods have been widely applied to plant leaves and lichens for biomonitoring air pollution, being efficient PM receptors [22][23][24]. Magnetic properties detected on tree leaves and lichens mostly depend on the concentration and the grain size of magnetite-like minerals accumulated on the samples, with the magnetic susceptibility being the fastest, most sensitive and practical parameter [25], recently tested also for in situ detection of the time dependent variations of the concentration of magnetic particles [26].…”

Section: Introductionmentioning

confidence: 99%

Atmospheric Concentration of CO2 and PM2.5 at Salina, Stromboli, and Vulcano Islands (Italy): How Anthropogenic Sources, Ordinary Volcanic Activity and Unrests Affect Air Quality

Madonia

Cangemi

Colajanni³

et al. 2022

IJERPH

View full text Add to dashboard Cite

Geogenic and anthropogenic sources of atmospheric particulate and CO2 can lead to threats to human health in volcanic areas. Although the volcanic CO2 hazard is a topic frequently debated in the related scientific literature, space and time distribution of PM2.5 are poorly known. The results of combined CO2/PM2.5 surveys, carried out at Salina, Stromboli, and Vulcano islands (Aeolian archipelago, Italy) in the years 2020–2021, and integrated with investigations on bioaccumulation of metallic particulate matter by the mean of data on the magnetic properties of oleander leaves, are presented in this work. The retrieved results indicate that no significant anthropogenic sources for both CO2 and PM2.5 are active in these islands, at the net of a minor contribution due to vehicular traffic. Conversely, increments in volcanic activity, as the unrest experienced by Vulcano island since the second half of 2021, pose serious threats to human health, due to the near-ground accumulation of CO2, and the presence of suspended micro-droplets of condensed hydrothermal vapor, fostering the diffusion of atmophile viruses, such as the COVID-19. Gas hazard conditions can be generated, not only by volcanic vents or fumarolic fields, but also by unconventional sources, such as the outgassing from shallow hydrothermal aquifers through drilled or hand-carved wells.

show abstract

Magnetic characteristics of atmospheric particulate matter and its indication of atmospheric pollution during winter in Lanzhou, NW China

Wang,

Gu,

Chen

et al. 2024

Atmospheric Environment

View full text Add to dashboard Cite

Airborne particle accumulation and loss in pollution-tolerant lichens and its magnetic quantification

Cited by 8 publications

References 29 publications

A Fuzzy-Based Analysis of Air Particle Pollution Data: An Index IMC for Magnetic Biomonitoring

A Fuzzy-Based Analysis of Air Particle Pollution Data: An Index IMC for Magnetic Biomonitoring

Atmospheric Concentration of CO2 and PM2.5 at Salina, Stromboli, and Vulcano Islands (Italy): How Anthropogenic Sources, Ordinary Volcanic Activity and Unrests Affect Air Quality

Magnetic characteristics of atmospheric particulate matter and its indication of atmospheric pollution during winter in Lanzhou, NW China

Contact Info

Product

Resources

About