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Predicting Arsenic Intrusion in a Drinking Water Distribution System: Implications for Decontamination Strategies

机译:预测饮用水分配系统中的砷侵入:用于去污策略的影响

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Although arsenic contamination is generally considered to be an unintended consequence of groundwater disturbance, intentional or accidental introduction into drinking water is a public health concern. The toxicity of arsenic is directly related to its oxidation state; therefore, both arsenate (As(V)) and arsenite (As(III)) need to be tracked within a water distribution system in order to predict public health impacts. This paper expands upon earlier work of co-authors in which a mathematical model for the adsorption of arsenic to pipe walls in water distribution systems was developed. The arsenic model predicts arsenate, arsenite, and free chlorine concentrations in the bulk water, and adsorbed arsenic concentrations on the pipe walls. Model parameters are based on bench scale data obtained from experiments performed at EPA's Test and Evaluation Facility. The bench scale experimental results along with pilot scale experimental data from a Distribution System Simulator (DSS) pipe loop are presented. The arsenic model developed from the experimental study can be used to predict the fate and transport of contaminants within real-world water distribution systems. In addition, the arsenic model can be used to evaluate decontamination strategies (e.g., flushing and pH-modification) intended to remove arsenic from the walls of pipes or other distribution system infrastructure. Simulation studies on real-world networks are performed to compare flushing times, and locations and to investigate the benefits of different decontamination strategies in terms of the reduction of public health impacts. The EPANET-MSX software is used for the simulation study. The value of using this modeling approach in order to plan water utility decontamination activities for a wider variety of contaminants in different water distribution networks is discussed.
机译:虽然砷污染通常被认为是地下水干扰的意外后果,但故意或意外介绍饮用水是公共卫生问题。砷的毒性与其氧化状态直接相关;因此,需要在水分配系统内跟踪砷酸盐(AS(v))和砷酸盐(如(iii)),以预测公共卫生影响。本文扩展了同参与者的早期工作,其中开发了一种用于在水分配系统中吸附砷的砷来吸附的数学模型。砷模型预测砷酸盐,砷酸盐和自由氯浓度,并吸附在管壁上的砷浓度。模型参数基于从EPA测试和评估设施进行的实验获得的台阶比例数据。施工秤实验结果以及来自分配系统模拟器(DSS)管道环路的导频规模实验数据。从实验研究中开发的砷模型可用于预测现实世界水分配系统内的污染物的命运和运输。此外,砷模型可用于评估旨在从管道壁或其他分配系统基础设施中移除砷的去污策略(例如,冲洗和pH改性)。对现实网络的仿真研究进行了比较潮红时间,以及在减少公共卫生影响方面调查不同净化策略的好处。 EPANET-MSX软件用于模拟研究。讨论了使用这种建模方法的价值,以计划在不同水分分配网络中为更广泛种类的污染物进行水实用净化活动。

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