Indoor aerosol modeling for assessment of exposure and respiratory tract deposited dose

Hussein, Tareq; Wierzbicka, Aneta; Löndahl, Jakob; Lazaridis, Mihalis; Hänninen, Otto

doi:10.1016/j.atmosenv.2014.07.034

Cited by 53 publications

(50 citation statements)

References 75 publications

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“…Indoor air pollutant concentrations depend on the dynamic relationship between pollutant source and loss processes within buildings. Source processes include the transport of outdoor air pollution, which can be high in urban areas [11][12][13], into the indoor environment via ventilation and infiltration, and indoor emission sources, which include solid fuel combustion, electronic appliances, cleaning, consumer products, occupants, pets, and volatilization of chemicals from building materials and furnishings, among others [10,[14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. Loss processes include ventilation, exfiltration, deposition to indoor surfaces, filtration and air cleaning, and pollutant transformations in the air (i.e., coagulation, gas-phase reactions).…”

Section: Introductionmentioning

confidence: 99%

Indoor Particle Concentrations, Size Distributions, and Exposures in Middle Eastern Microenvironments

et al. 2019

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There is limited research on indoor air quality in the Middle East. In this study, concentrations and size distributions of indoor particles were measured in eight Jordanian dwellings during the winter and summer. Supplemental measurements of selected gaseous pollutants were also conducted. Indoor cooking, heating via the combustion of natural gas and kerosene, and tobacco/shisha smoking were associated with significant increases in the concentrations of ultrafine, fine, and coarse particles. Particle number (PN) and particle mass (PM) size distributions varied with the different indoor emission sources and among the eight dwellings. Natural gas cooking and natural gas or kerosene heaters were associated with PN concentrations on the order of 100,000 to 400,000 cm −3 and PM 2.5 concentrations often in the range of 10 to 150 µg/m 3 . Tobacco and shisha (waterpipe or hookah) smoking, the latter of which is common in Jordan, were found to be strong emitters of indoor ultrafine and fine particles in the dwellings. Non-combustion cooking activities emitted comparably less PN and PM 2.5 . Indoor cooking and combustion processes were also found to increase concentrations of carbon monoxide, nitrogen dioxide, and volatile organic compounds. In general, concentrations of indoor particles were lower during the summer compared to the winter. In the absence of indoor activities, indoor PN and PM 2.5 concentrations were generally below 10,000 cm −3 and 30 µg/m 3 , respectively. Collectively, the results suggest that Jordanian indoor environments can be heavily polluted when compared to the surrounding outdoor atmosphere primarily due to the ubiquity of indoor combustion associated with cooking, heating, and smoking.

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Section: Introductionmentioning

confidence: 99%

Indoor Particle Concentrations, Size Distributions, and Exposures in Middle Eastern Microenvironments

et al. 2019

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“…In addition to an air quality data-base, knowledge of human activity patterns is necessary in exposure assessment [1]. “Activity pattern” includes information about the activities conducted, as well as time spent in different environments.…”

Section: Introductionmentioning

confidence: 99%

Activity Pattern of Urban Adult Students in an Eastern Mediterranean Society

Odeh

Hussein

2016

IJERPH

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Knowledge of human activity patterns is needed in air pollution exposure and health risk assessment. However, human activity patterns have never been evaluated in the Eastern Mediterranean societies. Therefore, we investigated the activity pattern of 285 subjects (17–63 years) in Amman, Jordan during October to November, 2015. The subjects spent >80% of their time indoors during weekend days and >85% on workdays. They spent ~4.8% and ~5.7% in transportation during weekend days and workdays, respectively. Males had a different activity pattern than females on weekend days, but both genders had similar activity patterns on workdays. On workdays, males spent less time indoors than females. The activity pattern found in this study is a bit different than that for North Americans and Europeans, who spend more time indoors and in transit. The activity pattern found in this study was very different than that observed for Koreans, who spent about 59% and 67% indoors on workdays and weekend, respectively. The main outcomes of this survey can be utilized in human exposure studies. This study and the upcoming future studies have been encouraged and supported by the regional WHO office in Amman.

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“…[31][32][33][34][35] Recently, indoor aerosol modeling was used for evaluation of exposure to particulate matter, employing a semi-empirical approach to calculate the deposited dose in the respiratory tract. 9 In the present study, computational modeling assessed occupational exposure to airborne MNMs in two stages. In the first stage, the MNMs dispersion in the space of interest and the exposure of the personnel were estimated using commercial computational fluid dynamics software.…”

Section: Introductionmentioning

confidence: 99%

“…7 However, monitoring the behavior of MNMs in workplaces is often unfeasible due to economical and practical reasons. 8,9 Computational models are an alternative to experimental measurements for a preliminary estimation of occupational exposure and internal dose calculation.…”

Section: Introductionmentioning

confidence: 99%

Modeling of occupational exposure to accidentally released manufactured nanomaterials in a production facility and calculation of internal doses by inhalation

Pilou

Vaquero

Jaén

et al. 2016

International Journal of Occupational and Environmental Health

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Background: Occupational exposure to manufactured nanomaterials (MNMs) and its potential health impacts are of scientific and practical interest, as previous epidemiological studies associate exposure to nanoparticles with health effects, including increased morbidity of the respiratory and the circulatory system. Objectives: To estimate the occupational exposure and effective internal doses in a real production facility of TiO 2 MNMs during hypothetical scenarios of accidental release. Methods: Commercial software for geometry and mesh generation, as well as fluid flow and particle dispersion calculation, were used to estimate occupational exposure to MNMs. The results were introduced to in-house software to calculate internal doses in the human respiratory tract by inhalation. Results: Depending on the accidental scenario, different areas of the production facility were affected by the released MNMs, with a higher dose exposure among individuals closer to the particles source. Conclusions: Granted that the study of the accidental release of particles can only be performed by chance, this numerical approach provides valuable information regarding occupational exposure and contributes to better protection of personnel. The methodology can be used to identify occupational settings where the exposure to MNMs would be high during accidents, providing insight to health and safety officials.

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Indoor aerosol modeling for assessment of exposure and respiratory tract deposited dose

Cited by 53 publications

References 75 publications

Indoor Particle Concentrations, Size Distributions, and Exposures in Middle Eastern Microenvironments

Indoor Particle Concentrations, Size Distributions, and Exposures in Middle Eastern Microenvironments

Activity Pattern of Urban Adult Students in an Eastern Mediterranean Society

Modeling of occupational exposure to accidentally released manufactured nanomaterials in a production facility and calculation of internal doses by inhalation

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