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Statistical assessment and modeling of benzene level in atmosphere in Timiş County, Romania

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Abstract

The aim of this article is the investigation of the benzene concentrations in the ambient air of urban and industrial areas from the Timişoara city and the rural zones of Timiş County, Romania. We use the Mann–Kendall test for assessing the existence of a monotonic trend of the average and maxima daily series. Burr and Wakeby models are fit for the distributions of the average and maximum daily series collected during a period of 7 months. Based on these distributions, we compute the probabilities of exceeding the legal limits by the average daily series. These are 0.1888, 0.2159, 0.1913, and 0.1805, respectively. The highest one corresponds to the agglomerate roadside.

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Availability of data

Data can be downloaded from Calitateaer.ro (2020).

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Acknowledgements

Many thanks to Professor Mohamed F. Yassin that considered our work important and invited us to submit the manuscript to the special issue ICAAQSE-2020.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

Authors

Contributions

A.B. and L.B. contributed to conceptualization; A.B. contributed to methodology, validation, and formal analysis, L.B. was involved in investigation and data curation; A.B. contributed to writing—original draft preparation, writing—review and editing, visualization, and supervision. All authors have read and agreed to the published version of the manuscript.

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Correspondence to L. Barbeş.

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Conflict of interest

The authors declare that they have no conflict of interest.

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All the authors agree on the manuscript for and the publication conditions.

Additional information

Editorial responsibility: Mohamed F. Yassin.

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Bărbulescu, A., Barbeş, L. Statistical assessment and modeling of benzene level in atmosphere in Timiş County, Romania. Int. J. Environ. Sci. Technol. 19, 817–828 (2022). https://doi.org/10.1007/s13762-020-02951-2

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  • DOI: https://doi.org/10.1007/s13762-020-02951-2

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