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在供水系统的散装水中形成卤乙酸的模型。

Model for halo-acetic acids formation in bulk water of water supply systems.

机构信息

School of Computing, Engineering and Mathematics, Western Sydney University, NSW 2751, Australia.

School of Computing, Engineering and Mathematics, Western Sydney University, NSW 2751, Australia; Watervale Systems Pty Ltd, PO Box 318, Potts Point, NSW 1335, Australia.

出版信息

Sci Total Environ. 2023 Jan 20;857(Pt 1):159267. doi: 10.1016/j.scitotenv.2022.159267. Epub 2022 Oct 5.

Abstract

With increased understanding of the differences in toxicity between species of haloacetic acids (HAAs) and the possibility of more stringent regulations, the ability to predict individual HAA species formation is important. Nine different haloacetic acids are regulated and their total concentration is referred to as HAA9. A mathematical model to predict concentrations of HAA species was proposed and tested using independent data sets. The amount of HAA9 formed per unit amount of chlorine consumed (μg-HAA9/mg-consumed chlorine) remained constant throughout the reaction times in each sample. Similarly, the fraction of a given HAA species largely remained constant during most of the reaction time. Thus, each HAA species was assumed to have its own yield with respect to consumed chlorine in a given water sample. The parallel second-order (2R) model describing chlorine decay kinetics was then extended to predict HAA species formation kinetics. The combined chlorine and HAA species model closely predicts all tested HAA species and its sum with standard error ≤ 5 μg/L. Within the tested waters having Cl/N mass ratio ≥ 10.7 (g-Cl/g-N), ammonia did not impact the mass yield. The mass yield of each HAA species can be calculated from three measurements (e.g. at 0, 4 and 24 h) of HAA species and chlorine. Once the yield is known, HAA species concentrations could be predicted for up to 120 h with only chlorine measurements. The model extends the previous work of predicting the trihalomethane species formation kinetics to HAA species formation kinetics. Further research is needed to understand how the yield varies with source water quality, treatment and in distribution systems.

摘要

随着对不同卤代乙酸(HAA)物种毒性差异的认识不断提高,以及更严格的法规的可能性,预测个别 HAA 物种形成的能力变得非常重要。目前有 9 种不同的卤代乙酸受到监管,它们的总浓度被称为 HAA9。本研究提出并使用独立数据集测试了一种预测 HAA 物种浓度的数学模型。在每个样本的整个反应时间内,单位耗氯量生成的 HAA9 量(μg-HAA9/mg-耗氯量)保持不变。同样,在大多数反应时间内,给定 HAA 物种的比例也基本保持不变。因此,假设在给定水样中,每种 HAA 物种相对于消耗的氯都有其自身的产率。然后,将描述氯衰减动力学的平行二级(2R)模型扩展到预测 HAA 物种形成动力学。该组合氯和 HAA 物种模型可以很好地预测所有测试的 HAA 物种及其总和,标准误差≤5μg/L。在所测试的氯/氮质量比≥10.7(g-Cl/g-N)的水中,氨不会影响质量产率。每个 HAA 物种的质量产率可以通过三种 HAA 物种和氯的测量值(例如在 0、4 和 24 h 时)计算得出。一旦知道了产率,就可以仅通过氯测量值在长达 120 h 的时间内预测 HAA 物种的浓度。该模型将以前预测三卤甲烷物种形成动力学的工作扩展到了 HAA 物种形成动力学。需要进一步的研究来了解产率如何随原水水质、处理和在分配系统中变化。

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