Monte Carlo-based probabilistic risk assessment for cement workers exposed to heavy metals in cement dust

Jafari, Abbas; Asadyari, Somayeh; Moutab Sahihazar, Zahra; Hajaghazadeh, Mohammad

doi:10.1007/s10653-023-01611-x

Cited by 3 publications

(3 citation statements)

References 58 publications

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“…Workers working in workshops are exposed to dust generated from the recycling process, mainly in three ways of ingestion, inhalation and dermal contact. 28,40,[42][43][44][45] Workers in different processing zones will be subjected to varying degrees of harm due to their different exposure to dust. In this study, based on the assumption that the particle size distribution of dust in workshops is similar to soil particle size distribution, the risk assessment method was adopted.…”

Section: Health Risk Assessmentmentioning

confidence: 99%

“…13 Compared to TRs in different zones of the workshop, the values in the FdZ and CrZ were relatively higher than the storage zone, indicating that there was a health risk associated with long-term exposure to FdZ and CrZ. To reduce workers' exposure to heavy metals, a mask with lter dust and a ventilation system should be combined, 28 and daily work hours reduction could be a concern. Meanwhile, less manual operation and more mechanized replacement are trends for development, which are signicant for promotion of the efficiency and occupational health and protection.…”

Section: Health Risk Assessmentmentioning

confidence: 99%

“…According to published results, long incubation periods and hard to degrade heavy metals, adhered to small particles and entering the environment and body, will cause pollution of the ecological environment and health risks to workers. 13,22,[26][27][28] In recent years, many studies put emphasis on the pollutants release in WPCBs recycling process, especially for the various heavy metal contaminations. WPCBs with electronic components were collected as materials from WEEE recycling enterprises in previous studies, 29,30 and mostly the whole workshop was taken as a research object.…”

Section: Introductionmentioning

confidence: 99%

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Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

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Section: Health Risk Assessmentmentioning

confidence: 99%

Section: Health Risk Assessmentmentioning

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Section: Introductionmentioning

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Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

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Analyses of industrial air pollution and long-term health risk using different dispersion models and WRF physics parameters

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2024

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This study consists of three main sections. The first section delves into a performance analysis centered around modeling PM10, NOx, and CO emissions from a cement factory. It examines the effectiveness of various factors, including meteorological data, physics models, and air quality dispersion models, in producing accurate results for atmospheric simulations. The second section covers the dispersion direction and concentrations obtained by visualizing the dispersion maps. The third section covers an analysis of heavy metals emitted from the facility, taking into account potential risks in the region such as cancer, acute and chronic effects, and long-term respiratory risks. This study made use of meteorological models (WRF, AERMET, and CALMET), air quality dispersion models (AERMOD and CALPUFF), a health risk analysis model (HARP), and various sub-models (MMIF and CALWRF). Satellite meteorological data were obtained from NCEP and ERA, with the majority of meteorological data based on the Global Data Assimilation System (GDAS)/Final Operational Global Analysis (FNL) from Global Tropospheric Analyses and Forecast Grids used for the WRF model. In the daily results, AERMOD showed the highest concentration values, but CALPUFF had greater concentrations throughout the annual period. The winter season had the highest concentrations of pollutants. Although there are differences among the physics models used in this research, the conclusions produced are consistent. Analysis of the data from the HARP model suggested that cancer risk levels exceeded the threshold of one person per million. However, the proportion of exceedance instances is rather small in comparison to the receptor points.

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Health risks of potentially toxic metals in cereal-based breakfast meals in the Kumasi Metropolis, Ghana

Oduro,

Ankar-Brewoo,

Dodd

et al. 2023

Discov Food

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Metal exposure through cereal-based breakfasts was studied in humans of varied ages (infants, toddlers, children, adolescents, adults, and the elderly) to assess the potential health risks metals in food pose to consumers. The total concentrations of As (0.59–0.69 mg/kg), Cd (1.27–1.41 mg/kg), Cr (4.66–9.85 mg/kg), Mn (8.26–9.73 mg/kg), Ni (5.01–5.81 mg/kg) and Pb (0.83–0.92 mg/kg) were all higher than the regulatory limits for metals in cereal-based foods. Metal concentrations assessed via in-vitro bioaccessibility extracts were below the detection limits. Toxicity indices of As, Cd, Cr, Ni, and Pb were above their respective WHO-permissible tolerable daily intake for all age groups, implying possible health risks due to over-exposure to metals. While the hazard quotients for Cr and Mn among the age groups were less than 1, those for Cd and Ni were greater than 1. There was no public health concern for cancer risk associated with oral exposure to Pb among the various age groups. However, the estimated cancer risk of Cd (185.4 × 10–3) and As (9.2 × 10–3) was greater than the de minimus (10–6), suggesting a public health concern among various age groups. The study found a significant level of metal contaminants in cereal-based foods, which can potentially pose health risks to consumers who consume them.

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Monte Carlo-based probabilistic risk assessment for cement workers exposed to heavy metals in cement dust

Cited by 3 publications

References 58 publications

Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

Analyses of industrial air pollution and long-term health risk using different dispersion models and WRF physics parameters

Health risks of potentially toxic metals in cereal-based breakfast meals in the Kumasi Metropolis, Ghana

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