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Toxics 2014, 2(2), 291-306; doi:10.3390/toxics2020291

Using Statistical and Probabilistic Methods to Evaluate Health Risk Assessment: A Case Study

Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL A1B 3X5, Canada
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Received: 4 March 2014 / Revised: 22 April 2014 / Accepted: 8 May 2014 / Published: 11 June 2014
(This article belongs to the Special Issue Risk Assessment of Environmental Contaminants)
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Abstract

The toxic chemical and heavy metals within wastewater can cause serious adverse impacts on human health. Health risk assessment (HRA) is an effective tool for supporting decision-making and corrective actions in water quality management. HRA can also help people understand the water quality and quantify the adverse effects of pollutants on human health. Due to the imprecision of data, measurement error and limited available information, uncertainty is inevitable in the HRA process. The purpose of this study is to integrate statistical and probabilistic methods to deal with censored and limited numbers of input data to improve the reliability of the non-cancer HRA of dermal contact exposure to contaminated river water by considering uncertainty. A case study in the Kelligrews River in St. John’s, Canada, was conducted to demonstrate the feasibility and capacity of the proposed approach. Five heavy metals were selected to evaluate the risk level, including arsenic, molybdenum, zinc, uranium and manganese. The results showed that the probability of the total hazard index of dermal exposure exceeding 1 is very low, and there is no obvious evidence of risk in the study area. View Full-Text
Keywords: water pollution; human risk assessment; uncertainty; dermal exposure; probabilistic method water pollution; human risk assessment; uncertainty; dermal exposure; probabilistic method
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Wu, H.; Chen, B. Using Statistical and Probabilistic Methods to Evaluate Health Risk Assessment: A Case Study. Toxics 2014, 2, 291-306.

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