Artículo

Chaparro, M.A.E.; Chaparro, M.A.E.; Castañeda Miranda, A.G.; Böhnel, H.N.; Sinito, A.M. "An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L" (2015) Ecological Indicators. 54:238-245
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Abstract:

Studies of magnetic monitoring for assessing air pollution have been proposed as alternative and complimentary of chemical methods. Such magnetic studies provide measurements at low cost and relative promptness. In this work, we present and apply a methodology to build an interval fuzzy model, which calculates the Tomlinson pollution load index (PLI). The input variables for the model are magnetic parameters relative to magnetic concentration, grain size and mineralogy. The model aims to two purposes, on one hand, to calculate the values of PLI only using magnetic variables and, on the other hand, to analyze the relationship between magnetic and chemical variables. The studied dataset was obtained from measurements of the biomonitor Tillandsia recurvata L. in a Mexican urban area (Santiago de Querétaro). The best model was selected from a total of about half a million possible models using a fitness measure (RIF). The model yields a satisfactory approximation of the PLI data and it was concluded that PLI increases with relation to: an increase in concentration of magnetic materials, an additional contribution to the magnetic signal of paramagnetic materials, and an increase in size of magnetic grains. © 2015 Elsevier Ltd. All rights reserved.

Registro:

Documento: Artículo
Título:An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L
Autor:Chaparro, M.A.E.; Chaparro, M.A.E.; Castañeda Miranda, A.G.; Böhnel, H.N.; Sinito, A.M.
Filiación:Centro de Investigaciones en Fisica e Ingenieria Del Centro de la Provincia de Buenos Aires, Pinto 399, Tandil, Argentina
Departamento de Matemáticas, Facultad de Ciencias Exactas y Naturales UNMDP, Funes 3385, Mar del Plata, Argentina
Centro de Geociencias, UNAM, Blvd. Juriquilla 3001, Juriquilla, Querétaro, Mexico
Palabras clave:Biomonitoring, Fuzzy c-means clustering; Magnetic parameters; Model; Pollution; Chemical analysis; Magnetic materials; Minerals; Models; Pollution; Chemical variables; Fuzzy C means clustering; Interval fuzzy model; Magnetic concentration; Magnetic monitoring; Magnetic parameters; Magnetic studies; Pollution load indices; Magnetism; atmospheric pollution; biomonitoring; fuzzy mathematics; index method; magnetic property; monocotyledon; numerical model; pollution monitoring; Dominican Republic; Santiago Rodriguez; Tillandsia recurvata
Año:2015
Volumen:54
Página de inicio:238
Página de fin:245
DOI: http://dx.doi.org/10.1016/j.ecolind.2015.02.018
Título revista:Ecological Indicators
Título revista abreviado:Ecol. Indic.
ISSN:1470160X
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1470160X_v54_n_p238_Chaparro

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Citas:

---------- APA ----------
Chaparro, M.A.E., Chaparro, M.A.E., Castañeda Miranda, A.G., Böhnel, H.N. & Sinito, A.M. (2015) . An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L. Ecological Indicators, 54, 238-245.
http://dx.doi.org/10.1016/j.ecolind.2015.02.018
---------- CHICAGO ----------
Chaparro, M.A.E., Chaparro, M.A.E., Castañeda Miranda, A.G., Böhnel, H.N., Sinito, A.M. "An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L" . Ecological Indicators 54 (2015) : 238-245.
http://dx.doi.org/10.1016/j.ecolind.2015.02.018
---------- MLA ----------
Chaparro, M.A.E., Chaparro, M.A.E., Castañeda Miranda, A.G., Böhnel, H.N., Sinito, A.M. "An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L" . Ecological Indicators, vol. 54, 2015, pp. 238-245.
http://dx.doi.org/10.1016/j.ecolind.2015.02.018
---------- VANCOUVER ----------
Chaparro, M.A.E., Chaparro, M.A.E., Castañeda Miranda, A.G., Böhnel, H.N., Sinito, A.M. An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L. Ecol. Indic. 2015;54:238-245.
http://dx.doi.org/10.1016/j.ecolind.2015.02.018