Literature DB >> 27613674

Seasonal and diurnal variations of BTEX compounds in the semi-urban environment of Orleans, France.

Zhaohui Jiang1, Benoît Grosselin2, Véronique Daële2, Abdelwahid Mellouki2, Yujing Mu3.   

Abstract

Atmospheric concentrations of BTEX (benzene, toluene, ethylbenzene and xylene) were measured at a semi-urban site in Orleans, France, from October 2010 to August 2011. Air samples were collected by multi-bed adsorbent tubes. The BTEX concentrations were determined by thermal desorption-gas chromatography-mass spectrometry detector (TD-GC-MSD) technique. The average concentrations of the total measured BTEX during spring, summer, autumn and winter were 724.2, 337.4, 682.3, 823.0ppt, respectively. Maximal values for their diurnal variations usually happened during rush hours in the morning and late afternoon, and the minimal values in the daytime usually happened in around noontime. The diurnal variation of BTEX in four seasons and the correlations between BTEX and NO indicated that vehicular exhaust might be the primary source of BTEX. Benzene was found in relatively high levels and the B/T ratio was significant high in spring, indicating an irregular emission source of benzene other than traffic-related emissions.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  BTEX; Diurnal variations; Orleans; Semi-urban; Vehicular exhaust

Year:  2016        PMID: 27613674     DOI: 10.1016/j.scitotenv.2016.08.214

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  9 in total

1.  Characteristics and health effects of BTEX in a hot spot for urban pollution.

Authors:  Mansooreh Dehghani; Mehdi Fazlzadeh; Armin Sorooshian; Hamid Reza Tabatabaee; Mohammad Miri; Abbas Norouzian Baghani; Mahdieh Delikhoon; Amir Hossein Mahvi; Majid Rashidi
Journal:  Ecotoxicol Environ Saf       Date:  2018-03-03       Impact factor: 6.291

2.  Photochemical degradation of toluene in gas-phase under UV/visible light graphene oxide-TiO2 nanocomposite: influential operating factors, optimization, and modeling.

Authors:  Faramarz Azimi; Ramin Nabizadeh; Mohammad Sadegh Hassanvand; Noushin Rastkari; Shahrokh Nazmara; Kazem Naddafi
Journal:  J Environ Health Sci Eng       Date:  2019-07-23

3.  Temporal variations of atmospheric benzene and its health effects in Tehran megacity (2010-2013).

Authors:  Ahmad Jonidi Jafari; Sasan Faridi; Fatemeh Momeniha
Journal:  Environ Sci Pollut Res Int       Date:  2019-04-22       Impact factor: 4.223

4.  Impact of COVID-19 Pandemic Lockdown in Ambient Concentrations of Aromatic Volatile Organic Compounds in a Metropolitan City of Western India.

Authors:  L K Sahu; Nidhi Tripathi; Mansi Gupta; Vikas Singh; Ravi Yadav; Kashyap Patel
Journal:  J Geophys Res Atmos       Date:  2022-03-23       Impact factor: 5.217

5.  Maternal Exposure to Indoor Air Pollution and Birth Outcomes.

Authors:  Peter Franklin; Mark Tan; Naomi Hemy; Graham L Hall
Journal:  Int J Environ Res Public Health       Date:  2019-04-16       Impact factor: 3.390

6.  Temporary reduction in VOCs associated with health risk during and after COVID-19 in Maharashtra, India.

Authors:  Bhupendra Pratap Singh; Saumya Kumari; Arathi Nair; Sweety Kumari; Saikh Mohammad Wabaidur; Ram Avtar; Shakilur Rahman
Journal:  J Atmos Chem       Date:  2022-08-17       Impact factor: 3.360

7.  The Concentration of BTEX in the Air of Tehran: A Systematic Review-Meta Analysis and Risk Assessment.

Authors:  Mehrnoosh Abtahi; Yadolah Fakhri; Gea Oliveri Conti; Margherita Ferrante; Mahmoud Taghavi; Javad Tavakoli; Ali Heshmati; Hassan Keramati; Bigard Moradi; Nazak Amanidaz; Amin Mousavi Khaneghah
Journal:  Int J Environ Res Public Health       Date:  2018-08-24       Impact factor: 3.390

8.  Distribution Characteristics of Volatile Organic Compounds and Contribution to Ozone Formation in a Coking Wastewater Treatment Plant.

Authors:  Yuxiu Zhang; Tingting Zang; Bo Yan; Chaohai Wei
Journal:  Int J Environ Res Public Health       Date:  2020-01-15       Impact factor: 3.390

9.  Kriging-Based Land-Use Regression Models That Use Machine Learning Algorithms to Estimate the Monthly BTEX Concentration.

Authors:  Chin-Yu Hsu; Yu-Ting Zeng; Yu-Cheng Chen; Mu-Jean Chen; Shih-Chun Candice Lung; Chih-Da Wu
Journal:  Int J Environ Res Public Health       Date:  2020-09-23       Impact factor: 3.390

  9 in total

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