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Development of a quantitative chemical risk assessment (QCRA) procedure for contaminants of emerging concern in drinking water supply

机译:开发饮用水供应污染物的定量化学风险评估(QCRA)程序

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The uncertainties on the occurrence, fate and hazard of Contaminants of Emerging Concern (CECs) in-creasingly challenge drinking water (DW) utilities whether additional measures should be taken to re-duce the health risk. This has led to the development and evaluation of risk-based approaches by the scientific community. DW guideline values are commonly derived based on deterministic chemical risk assessment (CRA). Here, we propose a new probabilistic procedure, that is a quantitative chemical risk assessment (QCRA), to assess potential health risk related to the occurrence of CECs in DW. The QCRA in-cludes uncertainties in risk calculation in both exposure and hazard assessments. To quantify the health risk in terms of the benchmark quotient probabilistic distribution, the QCRA estimates the probabilistic distribution of CECs concentration in DW based on their concentration in source water and simulating the breakthrough curves of a granular activated carbon (GAC) treatment process. The model inputs and output uncertainties were evaluated by sensitivity and uncertainty analyses for each step of the risk as-sessment to identify the most relevant factors affecting risk estimation. Dominant factors resulted to be the concentration of CECs in water sources, GAC isotherm parameters and toxicological data. To stress the potential of this new QCRA approach, several case studies are considered with focus on bisphenol A as an example CEC and various GAC management options. QCRA quantifies the probabilistic risk, pro-viding more insight compared to CRA. QCRA proved to be more effective in supporting the intervention prioritization for treatment optimization to pursue health risk minimization.(c) 2021 Elsevier Ltd. All rights reserved.
机译:在-creasingly挑战饮用水(DW)公用事业附加措施是否应采取重新杜奇的健康风险的发生,命运和新出现的问题(的CEC)的污染物危害的不确定性。这导致了科学界的发展和基于风险的方法评估。 DW指导值是基于确定性的化学品风险评估(CRA)常用的。在这里,我们提出了一个新的概率的程序,这是一个定量的化学品风险评估(QCRA),来评估关系到DW的CEC发生潜在的健康风险。该QCRA在-cludes的不确定性风险计算在曝光和危害评估。为了量化的标杆商概率分布方面的健康风险,在QCRA估计在DW根据他们在源水浓度和模拟颗粒活性炭(GAC)处理工艺上的突破曲线的CEC浓度的概率分布。该模型的输入和输出的不确定性是由灵敏度和不确定性分析的风险中的每个步骤评价为-sessment找出影响风险估计最相关的因素。主导因素导致要的CEC在水源,GAC等温线参数和毒理学数据的浓度。为了强调这一新QCRA方法的潜力,一些案例研究被认为是重点双酚A为例CEC和各种GAC管理选项。 QCRA量化相比CRA的风险概率,亲viding更深入的了解。 QCRA被证明是在支持干预优先就诊优化,追求健康风险最小化更有效。版权所有(C)2021爱思唯尔有限公司保留所有权利。

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