2024
DOI: 10.3390/atmos15040435
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A Fuzzy-Based Analysis of Air Particle Pollution Data: An Index IMC for Magnetic Biomonitoring

Mauro A. E. Chaparro,
Marcos A. E. Chaparro,
Daniela A. Molinari

Abstract: 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 … Show more

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Cited by 3 publications
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“…In addition to traditional analytical methods, recent advancements have introduced the use of fuzzy models in magnetic monitoring. For instance, a study by Chaparro proposed a magnetic index (IMC) that leverages fuzzy clustering, fuzzy arithmetic, and a fuzzy inference system to analyze relationships between the IMC and PLI, suggesting a promising approach for broader application in environmental matrices such as soils and sediments [45]. The application of magnetic susceptibility measurement techniques for the characterization of soils and geochemistry has consistently been a focal point of research.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to traditional analytical methods, recent advancements have introduced the use of fuzzy models in magnetic monitoring. For instance, a study by Chaparro proposed a magnetic index (IMC) that leverages fuzzy clustering, fuzzy arithmetic, and a fuzzy inference system to analyze relationships between the IMC and PLI, suggesting a promising approach for broader application in environmental matrices such as soils and sediments [45]. The application of magnetic susceptibility measurement techniques for the characterization of soils and geochemistry has consistently been a focal point of research.…”
Section: Introductionmentioning
confidence: 99%