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Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend
Asbestos is classified as a hazardous pollutants between the airborne particles that cause diseases such as lung fibrosis (asbestosis). This protocol describes an integrated method for determination of asbestos fibres concentration and its temporal-spatial trends in the air of urban areas. To do thi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812405/ https://www.ncbi.nlm.nih.gov/pubmed/31667124 http://dx.doi.org/10.1016/j.mex.2019.09.034 |
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author | Hajizadeh, Yaghoub Jafari, Negar Mokhtari, Mehdi Ebrahimi, Ali Asghar Abdolahnejad, Ali |
author_facet | Hajizadeh, Yaghoub Jafari, Negar Mokhtari, Mehdi Ebrahimi, Ali Asghar Abdolahnejad, Ali |
author_sort | Hajizadeh, Yaghoub |
collection | PubMed |
description | Asbestos is classified as a hazardous pollutants between the airborne particles that cause diseases such as lung fibrosis (asbestosis). This protocol describes an integrated method for determination of asbestos fibres concentration and its temporal-spatial trends in the air of urban areas. To do this, 60 samples were gathered from various areas of Yazd city with low, moderate and high traffic. For analysis of asbestos fibres in the samples scanning electron microscopy (SEM) and energy-dispersive X-ray (EDX) were utilized. The spatial and temporal variation of asbestos fibres concentration was carried out by ArcGIS 10 analysis. The Inverse Distance Weighting (IDW) method was used to draw asbestos fibres distribution maps. The interpolation of asbestos fibre by IDW method indicated that the distribution of the fibres in summer and winter were followed almost the similar pattern. However, the distribution of asbestos fibre concentrations in the direction of southeast to the northwest of the city was higher than that in the other areas due to high vehicular traffic. |
format | Online Article Text |
id | pubmed-6812405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68124052019-10-30 Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend Hajizadeh, Yaghoub Jafari, Negar Mokhtari, Mehdi Ebrahimi, Ali Asghar Abdolahnejad, Ali MethodsX Environmental Science Asbestos is classified as a hazardous pollutants between the airborne particles that cause diseases such as lung fibrosis (asbestosis). This protocol describes an integrated method for determination of asbestos fibres concentration and its temporal-spatial trends in the air of urban areas. To do this, 60 samples were gathered from various areas of Yazd city with low, moderate and high traffic. For analysis of asbestos fibres in the samples scanning electron microscopy (SEM) and energy-dispersive X-ray (EDX) were utilized. The spatial and temporal variation of asbestos fibres concentration was carried out by ArcGIS 10 analysis. The Inverse Distance Weighting (IDW) method was used to draw asbestos fibres distribution maps. The interpolation of asbestos fibre by IDW method indicated that the distribution of the fibres in summer and winter were followed almost the similar pattern. However, the distribution of asbestos fibre concentrations in the direction of southeast to the northwest of the city was higher than that in the other areas due to high vehicular traffic. Elsevier 2019-09-28 /pmc/articles/PMC6812405/ /pubmed/31667124 http://dx.doi.org/10.1016/j.mex.2019.09.034 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Environmental Science Hajizadeh, Yaghoub Jafari, Negar Mokhtari, Mehdi Ebrahimi, Ali Asghar Abdolahnejad, Ali Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend |
title | Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend |
title_full | Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend |
title_fullStr | Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend |
title_full_unstemmed | Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend |
title_short | Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend |
title_sort | protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812405/ https://www.ncbi.nlm.nih.gov/pubmed/31667124 http://dx.doi.org/10.1016/j.mex.2019.09.034 |
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