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Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend.
MethodsX 2019; 6:2237-2241M

Abstract

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.

Authors+Show Affiliations

Department of Environmental Health Engineering, Faculty of Health, Environmental Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.Department of Environmental Health Engineering, Faculty of Health, Environmental Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.Environmental Science and Technology Research Centre, Department of Environmental Health Engineering, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.Environmental Science and Technology Research Centre, Department of Environmental Health Engineering, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.Environmental Science and Technology Research Centre, Department of Environmental Health Engineering, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31667124

Citation

Hajizadeh, Yaghoub, et al. "Protocol for Identification of Airborne Asbestos Fibres in the Urban Areas and Spatio-temporal Trend." MethodsX, vol. 6, 2019, pp. 2237-2241.
Hajizadeh Y, Jafari N, Mokhtari M, et al. Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend. MethodsX. 2019;6:2237-2241.
Hajizadeh, Y., Jafari, N., Mokhtari, M., Ebrahimi, A. A., & Abdolahnejad, A. (2019). Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend. MethodsX, 6, pp. 2237-2241. doi:10.1016/j.mex.2019.09.034.
Hajizadeh Y, et al. Protocol for Identification of Airborne Asbestos Fibres in the Urban Areas and Spatio-temporal Trend. MethodsX. 2019;6:2237-2241. PubMed PMID: 31667124.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend. AU - Hajizadeh,Yaghoub, AU - Jafari,Negar, AU - Mokhtari,Mehdi, AU - Ebrahimi,Ali Asghar, AU - Abdolahnejad,Ali, Y1 - 2019/09/28/ PY - 2019/08/06/received PY - 2019/09/26/accepted PY - 2019/11/1/entrez PY - 2019/11/2/pubmed PY - 2019/11/2/medline KW - Airborne KW - Asbestos fibres KW - Monitoring KW - Spatio-temporal trend SP - 2237 EP - 2241 JF - MethodsX JO - MethodsX VL - 6 N2 - 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. SN - 2215-0161 UR - https://www.unboundmedicine.com/medline/citation/31667124/Protocol_for_identification_of_airborne_asbestos_fibres_in_the_urban_areas_and_spatio-temporal_trend L2 - https://linkinghub.elsevier.com/retrieve/pii/S2215-0161(19)30258-4 DB - PRIME DP - Unbound Medicine ER -