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Spatial analysis and risk assessment of urban BTEX compounds in Urmia, Iran

Land Use Regression models (LUR) are the most common tools to estimate intra-urban air pollutant exposure in epidemiological studies. However, number of available and published models in developing and middle up income countries is still scarce. Here, we developed seasonal and overall LUR models for...

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Published in:Chemosphere (Oxford) 2020-05, Vol.246, p.125769-125769, Article 125769
Main Authors: Mohammadi, Amir, Ghassoun, Yahya, Löwner, Marc-Oliver, Behmanesh, Maryam, Faraji, Maryam, Nemati, Sepideh, Toolabi, Ali, Abdolahnejad, Ali, Panahi, Hussein, Heydari, Hafez, Miri, Mohammad
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Language:English
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Summary:Land Use Regression models (LUR) are the most common tools to estimate intra-urban air pollutant exposure in epidemiological studies. However, number of available and published models in developing and middle up income countries is still scarce. Here, we developed seasonal and overall LUR models for the spatial distribution of benzene, toluene, ethylbenzene and xylene (BTEX) based on 20 monitoring stations and 166 potentially predictive variables (PPVs) in Urmia, Iran. Carcinogenic and non-carcinogenic risks of exposure to BTEX and its sensitivity analysis were assessed using a probabilistic approach. The mean and standard deviation (in brackets) of overall benzene, toluene, ethylbenzene and xylene were 12.83 (16.19), 27.03 (32.00), 4.72 (4.15) and 27.35 (29.36) μg/m3, respectively. In all models the R2 value of LUR models of benzene, toluene, ethylbenzene, xylene and total BTEX ranged from 0.66 to 0.85, 0.61, 0.88, 0.72 to 0.94, 0.75 to 0.84 and 0.67 to 0.93. The root mean square error (RMSE) for leave-one-out cross-validations (LOOCV) for benzene, toluene, ethylbenzene and xylene ranged from 7.48 to 10.31, 23.0 to 30.0, 3.40 to 6.90, 16.27 to 24.49, 36.10–50.0 μg/m3, respectively. The estimated lifetime carcinogenic risk (LTCR) indicated that ambient concentration of benzene is at a risk level for Urmia inhabitants (LTCR >10−6). Sensitivity analysis for LTCR model indicated that concentration of benzene (C) was the most effective variable in increasing the carcinogenic risk (correlation coefficient ranged from 0.97 to 0.98 for all models). [Display omitted] •LUR models were developed for BTEX compounds in Urmia, Iran.•The developed LUR models performed well with R2 values ranged from 0.61 to 0.94.•The people who live near to medical/healthcare land use type and heavy traffic areas are more exposed to BTEX.•HQ values for all BTEX species were in the acceptable range. (HQ 
ISSN:0045-6535
1879-1298
DOI:10.1016/j.chemosphere.2019.125769