Source apportionment and health effects of particle-bound metals in PM2.5 near a precision metal machining factory

Lin, Chia‐Hua; Lai, Chia-Hsiang; Hsieh, Tsang-Hsien; Tsai, Cheng-Yun

doi:10.1007/s11869-021-01147-y

Cited by 10 publications

(3 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the concentrations of all metals, except Pb, in Nagpur district exceeded the levels reported for another locality in India whose PM 2.5 mass concentrations averaged below the NAAQS (Police et al, 2018). The concentrations of most PM 2.5 -bound metals in Nagpur district is also greater or comparable to levels recently reported in different localities around the globe (Cheng et al, 2022;Fadel et al, 2022;Kazemiparkouhi et al, 2022;Lin et al, 2022;Liu et al, 2022;Othman et al, 2022;Qiu et al, 2022;Xue et al, 2022;Yang et al, 2022;Yen et al, 2022).…”

Section: Concentrations Of Pm 25 -Bound Heavy Metals (Pm 25 Below The...supporting

confidence: 42%

Can the Indian national ambient air quality standard protect against the hazardous constituents of PM2.5?

et al. 2022

View full text Add to dashboard Cite

Section: Concentrations Of Pm 25 -Bound Heavy Metals (Pm 25 Below The...supporting

confidence: 42%

Can the Indian national ambient air quality standard protect against the hazardous constituents of PM2.5?

et al. 2022

View full text Add to dashboard Cite

“…Unfortunately, production workers unavoidably come into close contact with these harmful oil mist particles, ranging from sub-micron to micron scales [2][3][4]. The adverse effects on human health are well-documented, especially when exposed to high concentrations of oil mist particles [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Indoor Oil Mist Particle Concentration Distribution in an Industrial Factory Using the Eulerian–Eulerian and Eulerian–Lagrangian Methods

Wang,

Sun,

Zhao

et al. 2023

Fluids

View full text Add to dashboard Cite

The transport and prediction of the concentration of particles in confined spaces are crucial for human well-being; this has become particularly evident during the current worldwide pandemic. Computational fluid dynamics (CFD) has been widely used for such predictions, relying on Eulerian–Eulerian (EE) and Eulerian–Lagrangian (EL) models to study particle flow. However, there is a lack of research on industrial factories. In this study, a scaled laboratory in an industrial factory was established for oil mist particles in a machining factory, and oil mist dispersion experiments were conducted under roof exhaust and mixed ventilation conditions. After that, the oil mist concentration distribution in the factory under the same working conditions was calculated by Eulerian and Lagrangian methods, and the corresponding calculation errors and resource consumption were compared. It was found that the simulation results of both methods are acceptable for mixed ventilation and roof exhaust ventilation systems. When there are more vortices in the factory, the Lagrangian method increases the computation time by more than 53% to satisfy the computational accuracy, and the computational error between the Eulerian and Lagrangian methods becomes about 10% larger. For oil mist particles with an aerodynamic diameter of 0.5 μm, both Eulerian and Lagrangian methods have reliable accuracy. Based on the same flow field, the Lagrangian method consumes more than 400 times more computational resources than the Eulerian method. This study can provide a reference for the simulation of indoor particulate transport in industrial factories.

show abstract

“…These heavy metals enter into the human body through the respiratory system (Lin et al 2022). Many studies have shown that the metals are not easily deteriorated biologically, therefore accumulating in the human body and impairing the physiological function.…”

Section: Introductionmentioning

confidence: 99%

Characterization, Seasonal Variations, Source Apportionment and Health Risk Assessment of Heavy Metals in PM2.5 in the Urban Site of Agra, India

Sah¹

2022

Preprint

View full text Add to dashboard Cite

The present study evaluated the concentration, seasonal variations, source identification and health risk through inhalation of heavy metals (V, Cr, Mn, Fe, Ni, Cu, Zn, As, Cd, Si and Pb) in fine particulate matter. Samples of PM2.5 were collected from an urban site in Agra (27°10′N, 78°05′E), India during January 2018 to January 2019. A total of 48 samples of PM2.5 were collected using Fine Particulate Sampler (Envirotech APM 550) set at a flow of 16.6 L min− 1 on 47 mm quartz fiber filters (Pallflex, Tissuquartz) for 24 h. Heavy metals were determined by Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) after acid digestion. The average PM2.5 mass concentration was 107 ± 57.85 µg m− 3 which has been compared with NAAQS and WHO limit was found to be higher. Seasonal variation of PM2.5 showed: winter > post-monsoon > summer > monsoon. The average concentration of heavy metals lied within the range of 4.92 to 505.38 ng m− 3. Among heavy metals, the high concentration belonged to Si (505.38 ng m− 3) and Fe (281.23 ng m− 3). The highest metal concentration occurred in the winter season followed by post-monsoon, summer and monsoon seasons. The enrichment factor was used to estimate the main sources of the metals in PM2.5. Two factors were identified using Principal Component Analysis (PCA) at the urban site including resuspended road dust, vehicular activities, solid waste incineration, industrial emission and construction activities. To assess the health risks through inhalation exposure pathway hazard quotient (HQ), hazard index (HI) and carcinogenic risk (CR) were estimated. The carcinogenic risks of Pb (for both children and adults) Cd (for children) were lower than the precautionary criterion (1×10− 6), while Cd for children and As, Cr and Ni for both children and adults were higher than 1×10− 6. The non-carcinogenic risks of As, Cd, Cr, Mn and V for both children and adults were lower than the safe level of 1, whereas Ni for both children and adults were higher than the safe level of 1. The HI values of all heavy metals for both children and adults were higher than the safe level of 1 indicating a non-carcinogenic adverse health effect. The results of the present study impart information for the behaviour and risk mitigation of heavy metals.

show abstract

Source apportionment and health effects of particle-bound metals in PM2.5 near a precision metal machining factory

Cited by 10 publications

References 51 publications

Can the Indian national ambient air quality standard protect against the hazardous constituents of PM2.5?

Can the Indian national ambient air quality standard protect against the hazardous constituents of PM2.5?

Numerical Study of Indoor Oil Mist Particle Concentration Distribution in an Industrial Factory Using the Eulerian–Eulerian and Eulerian–Lagrangian Methods

Characterization, Seasonal Variations, Source Apportionment and Health Risk Assessment of Heavy Metals in PM2.5 in the Urban Site of Agra, India

Contact Info

Product

Resources

About