Literature DB >> 26490929

Indoor air quality at life and work environments in Rome, Italy.

P Romagnoli1, C Balducci2, M Perilli2, F Vichi2, A Imperiali2, A Cecinato2.   

Abstract

The air quality of three different microenvironments (school, dwelling, and coffee bar) located in the city of Rome, Italy, was assessed. Indoor and outdoor concentrations of polycyclic aromatic hydrocarbons (PAHs) associated with PM2.5 particles were determined during an intensive 3-week sampling campaign conducted in March 2013. In interiors, total particulate PAHs ranged from 1.53 to 4.96 ng/m(3) while outdoor air contained from 2.75 to 3.48 ng/m(3). In addition, gaseous toxicants, i.e., NO2, NOx , SO2, O3, and BTEX (benzene, toluene, ethyl-benzene, and xylene isomers), were determined both in internal and external air. To solve the origin of indoor and outdoor PAHs, several source apportionment methods were applied. Multivariate analysis revealed that emissions from motor vehicles, biomass burning for heating purposes, and soil resuspension were the major sources of PAHs in the city. No linear correlation was established between indoor and outdoor values for PM2.5 and BTEX; the respective indoor/outdoor concentration ratios exceed unity except for PM2.5 in the no smoking home and benzene in all school floors. This suggests that important internal sources such as tobacco smoking, cleaning products, and resuspension dust contributed to indoor pollution. Using the monitoring stations of ARPA Lazio regional network as reference, the percentage within PAH group of benzo[a]pyrene, which is the WHO marker for the carcinogenic risk estimates, was ca. 50% higher in all locations investigated.

Entities:  

Keywords:  Indoor air; Indoor/outdoor concentration ratio; PAHs; PM2.5; Rome; Volatile organic compounds

Mesh:

Substances:

Year:  2015        PMID: 26490929     DOI: 10.1007/s11356-015-5558-4

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  22 in total

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Review 3.  PAH diagnostic ratios for the identification of pollution emission sources.

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Journal:  Environ Pollut       Date:  2011-12-07       Impact factor: 8.071

4.  Exposures to benzene and other volatile compounds from active and passive smoking.

Authors:  L Wallace; E Pellizzari; T D Hartwell; R Perritt; R Ziegenfus
Journal:  Arch Environ Health       Date:  1987 Sep-Oct

5.  Pollution patterns of polycyclic aromatic hydrocarbons in tobacco smoke.

Authors:  Hao Lu; Lizhong Zhu
Journal:  J Hazard Mater       Date:  2006-06-10       Impact factor: 10.588

6.  Calculated respiratory exposure to indoor size-fractioned polycyclic aromatic hydrocarbons in an urban environment.

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Journal:  Sci Total Environ       Date:  2012-06-09       Impact factor: 7.963

7.  Seasonal variation and source estimation of organic compounds in urban aerosol of Augsburg, Germany.

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8.  Different effects of polycyclic aromatic hydrocarbons in artificial and in environmental mixtures on the free living nematode C. elegans.

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Journal:  J Appl Toxicol       Date:  2011-03-07       Impact factor: 3.446

9.  Indoor and outdoor air concentrations of BTEX and NO2: correlation of repeated measurements.

Authors:  Rebekka Topp; Josef Cyrys; Istvan Gebefügi; Jürgen Schnelle-Kreis; Kai Richter; H-Erich Wichmann; Joachim Heinrich
Journal:  J Environ Monit       Date:  2004-08-18

10.  Profile analysis of ambient and source emitted particle-bound polycyclic aromatic hydrocarbons from three sites in northern Greece.

Authors:  E Manoli; A Kouras; C Samara
Journal:  Chemosphere       Date:  2004-09       Impact factor: 7.086

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Journal:  Int J Environ Res Public Health       Date:  2020-12-02       Impact factor: 3.390

2.  Indoor Air Quality in Domestic Environments during Periods Close to Italian COVID-19 Lockdown.

Authors:  Maria Chiara Pietrogrande; Lucia Casari; Giorgia Demaria; Mara Russo
Journal:  Int J Environ Res Public Health       Date:  2021-04-12       Impact factor: 3.390

3.  Ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by Random Forests model.

Authors:  Yu-Wen Lin; Chin-Sheng Tang; Hsi-Chen Liu; Tzu-Ying Lee; Hsiao-Yun Huang; Tzu-An Hsu; Li-Te Chang
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

  3 in total

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