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- W151290960 abstract "A considerable amount of work has been conducted developing exposure estimatemodels for quantitative evaluation of Hg intake and human health risks, but few haveassessed the applicability and the validity for evaluating the risks posed by Hg in theenvironment and have achieved very mixed results. The present study focused onverifying the daily Hg intake estimates using exposure estimate models. Deterministicmethods and the probabilistic methods (the Monte Carlo) were applied to simulate thedaily Hg intake doses which were verified by comparing the estimates to thoseestablished from measured Hg concentrations in the hair of 289 participants. Theresults showed that the single-value deterministic method for simulating Hg exposurelevels overestimated the level of risk by a factor of 1.5 when compared with thehighest concentration of the Hg observed in the hair of the study population. Theaverage daily Hg intake doses simulated using the probabilistic simulation weresimilar in distribution to the biomarker data, with the variability of 23%. Thedifference between the probabilistic simulation and the data derived from hair Hglevels was considered to be most likely due to the uncertainties in unconfirmedquestionnaire-based survey data, small sampling sizes and the surrogates used in theexposure models. When the reference dose (RfD) of 0.1 ?g/kg body weight/day wasadopted as the acceptable dose for daily intake rate, there were approximately 19%estimated to have potential Hg exposure risks based on the Monte Carlo simulation.This percentage was favourably similar to the 17% determined from Hgconcentrations in the hair samples. The findings implied that the existing exposuremodels together with the probabilistic approach were appropriate for the research ofhuman exposure to Hg. On the other hand, low Hg levels in the participants’ hairindicated that Hg accumulated in the study population was not very serious, probablydue to the good Hg absorptivity of the on-site fly ash. However, it should be advisedthat consumption of river fish elevates the health risks to the local population." @default.
- W151290960 created "2016-06-24" @default.
- W151290960 creator A5067641533 @default.
- W151290960 date "2008-12-01" @default.
- W151290960 modified "2023-09-24" @default.
- W151290960 title "Verification of methodologies for estimatinghuman exposure to high levels of mercurypollution in the environment" @default.
- W151290960 hasPublicationYear "2008" @default.
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