Integrated analysis of numerical weather prediction and computational fluid dynamics for estimating cross-ventilation effects on inhaled air quality inside a factory

Murga, Alicia; Sano, Yusuke; Kawamoto, Yoichi; Ito, Kazuhide

doi:10.1016/j.atmosenv.2017.08.003

Cited by 19 publications

(5 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These experimental approaches are, however, limited by ethical issues and animal protection. From this perspective, a computer simulation model (ie, in silico model) presents itself as an alternative and complementary approach that may strongly aid in understanding of the contaminant transport mechanisms in the respiratory system and the absorption of contaminants onto skin 28‐30 . In the assessment of inhalation exposure risk, computational fluid dynamics (CFD) and physiologically based pharmacokinetic (PBPK) models have been applied to realistic respiratory tract models to predict inhalation dosimetry 31‐42 .…”

Section: Introductionmentioning

confidence: 99%

A numerical investigation of the potential effects of e‐cigarette smoking on local tissue dosimetry and the deterioration of indoor air quality

et al. 2020

Self Cite

View full text Add to dashboard Cite

Electronic (e)‐cigarette smoking is considered to be less harmful than traditional tobacco smoking because of the lack of a combustion process. However, e‐cigarettes have the potential to release harmful chemicals depending on the constituents of the vapor. To date, there has been significant evidence on the adverse health effects of e‐cigarette usage. However, what is less known are the impacts of the chemicals contained in exhaled air from an e‐cigarette smoker on indoor air quality, the second‐hand passive smoking of residents, and the toxicity of the exhaled air. In this study, we develop a comprehensive numerical model and computer‐simulated person to investigate the potential effects of e‐cigarette smoking on local tissue dosimetry and the deterioration of indoor air quality. We also conducted demonstrative numerical analyses for first‐hand and second‐hand e‐cigarette smoking in an indoor environment. To investigate local tissue dosimetry, we used newly developed physiologically based pharmacokinetic/toxicokinetic models that reproduce inhalation exposure by way of the respiratory tract and dermal exposure through the human skin surface. These models were integrated into the computer‐simulated person. Our numerical simulation results quantitatively demonstrated the potential impacts of e‐cigarette smoking in enclosed spaces on indoor air quality.

show abstract

Section: Introductionmentioning

confidence: 99%

A numerical investigation of the potential effects of e‐cigarette smoking on local tissue dosimetry and the deterioration of indoor air quality

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Urban scale models utilizing Computational Fluid Dynamic (CFD) simulations have also been proposed. However, their computational complexity limits their applicability to a wide area [14,15,22,24]. Besides these model-driven approaches, data-driven methods have become popular due to the increased use of monitoring stations, including traditional fixed networks, denser networks of low-cost fixed sensors, and low-cost mobile devices.…”

Section: Related Workmentioning

confidence: 99%

How opportunistic mobile monitoring can enhance air quality assessment?

Abboud,

Taher,

Zeitouni

et al. 2024

Geoinformatica

View full text Add to dashboard Cite

The deteriorating air quality in urban areas, particularly in developing countries, has led to increased attention being paid to the issue. Daily reports of air pollution are essential to effectively manage public health risks. Pollution estimation has become crucial to expanding spatial and temporal coverage and estimating pollution levels at different locations. The emergence of low-cost sensors has enabled high-resolution data collection, either in fixed or mobile settings, and various approaches have been proposed to estimate air pollution using this technology. The objective of this study is to enhance the data from fixed stations by incorporating opportunistic mobile participatory monitoring (MPM) data. The main research question we are dealing with is: How can we augment fixed station data through MPM? In order to address the challenge of limited MPM data availability, we leverage existing data collected during periods when the pollution maps align with those observed by the fixed stations. By combining the fixed and mobile data, we apply interpolation techniques to produce more accurate pollution maps. The efficacy of our approach is validated through experiments conducted on a real-life dataset.

show abstract

“…Highly heterogeneous airflow and scalar distributions, such as those of chemical compounds, in an enclosed space are generally formed by a complex and nonlinear fluid motion 1‐6 . In particular, in a factory or chemical plant with a large indoor volume, the tendency toward heterogeneity associated with incomplete mixing is accentuated 7‐10 . In addition to the transient and heterogeneous airflow pattern, another important factor in the formation of this non‐uniform scalar concentration distribution is the heterogeneity of the emission source of the scalar.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4][5][6] In particular, in a factory or chemical plant with a large indoor volume, the tendency toward heterogeneity associated with incomplete mixing is accentuated. [7][8][9][10] In addition to the transient and heterogeneous airflow pattern, another important factor in the formation of this non-uniform scalar concentration distribution is the heterogeneity of the emission source of the scalar. Discussions of exposure concentrations of hazardous chemicals and the corresponding health risks to indoor residents must be premised on an accurate understanding of airflow patterns and the location of emission sources of the target chemical compound.…”

mentioning

confidence: 99%

Internal diffusion and re‐emission of leaked liquid ethyl acetate from mortar materials

Harashima

Sumiyoshi

Ito

2022

Japan Architectural Review

Self Cite

View full text Add to dashboard Cite

Assuming the leakage of hazardous liquid chemicals in factories and chemical plants caused by natural disasters or human error, it is important to precisely estimate exposure risk and design appropriate evacuation plans and risk‐reduction measures. The exposure risk of indoor residents to leaked chemicals may be estimated using direct measurements or theoretical/numerical estimations of gas‐phase concentrations. Although mathematical models of gas‐phase concentration in the workplace are essential for predicting exposure concentrations at the design stage, practical models have not yet been fully established. We previously proposed practical numerical models to assess indoor gas‐phase concentration distributions after the accidental leakage of liquid chemicals using liquid toluene as a representative hazardous chemical. In this study, the leakage of liquid ethyl acetate, a commonly used organic solvent, into mortar flooring was reproduced in a small test chamber, and numerical analysis was performed. The results showed that the time history of the chamber exhaust concentration had a sharp peak and differed significantly from that of toluene. Three‐dimensional computational fluid dynamics (CFD) analysis incorporating practical ethyl acetate emission models reproduced the external and internal emission characteristics of leaked ethyl acetate on the mortar material. The models showed reasonable agreement with the experimental data.

show abstract

Integrated analysis of numerical weather prediction and computational fluid dynamics for estimating cross-ventilation effects on inhaled air quality inside a factory

Cited by 19 publications

References 56 publications

A numerical investigation of the potential effects of e‐cigarette smoking on local tissue dosimetry and the deterioration of indoor air quality

A numerical investigation of the potential effects of e‐cigarette smoking on local tissue dosimetry and the deterioration of indoor air quality

How opportunistic mobile monitoring can enhance air quality assessment?

Internal diffusion and re‐emission of leaked liquid ethyl acetate from mortar materials

Contact Info

Product

Resources

About