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Strengths of correlations with formation of chlorination disinfection byproducts: effects of predictor type and other factors

机译:形成氯化消毒副产物的相关性的相关性:预测器类型和其他因素的影响

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Measurements of the UV-Vis absorbance (Abs) and intensity of fluorescence emission (Fluor), as well as of concentrations of total or dissolved organic carbon (OC) in aqueous samples are commonly used to estimate the potential for disinfection byproducts (DBPs) formation during water chlorination. In this work, based on 574 linear associations collected from 70 experimental research papers published over the period of 1997-2019, the strengths of the correlations of Abs, Fluor, and OC with DBPs concentrations are compared. The correlations were expressed as approximately normally distributed Z-scores using Fisher variance-stabilizing transformation. The effects of specific prediction method, chlorination agent, water source, and DBPs type, with consideration of possible effects due to the presence of bromide, are examined against Z-scores by ANOVA, testing main effects and some variables interactions. The performed analysis is a first attempt to expose differences and patterns in correlation strengths associated with DBPs formation, based on systematically covered broad existing literature. Abs and OC concentration of water samples tend to demonstrate the strongest correlations with DBPs formation as compared with specific UV absorbance (SUVA) or intensity of fluorescence emission. Correlations of DBPs formation during chloramination demonstrated weaker strengths as compared with other chlorination agents, suggesting more caution in predicting DBPs concentrations, based on simple descriptors such as Abs, OC, and Fluor. In a series of different water types, the correlations with DBPs formation are expected to be enhanced, when wastewater is chlorinated. Non-fluorescent matter may be an important contributor to DBPs formation during water chlorination. When fluorescence intensity is considered as a predicting tool, choosing humic-like rather than proteinaceous fluorescence may enhance the strengths of the correlations with DBPs formation. Different performances of Abs, OC, and Fluor in correlating with DBPs formation may be beneficial for their concurrent use helping to optimize removal of different DBPs precursors.
机译:紫外 - Vis吸光度(ABS)的测量和荧光发射(氟)的强度,以及水性样品中的总或溶解的有机碳(OC)的浓度通常用于估计消毒副产物(DBPS)形成的潜力在氯化过程中。在这项工作中,根据从1997 - 2019年期间发布的70个实验研究论文收集的574个线性协会,比较了ABS,Fluor和OC的相关性与DBPS浓度的相关性。使用Fisher方差稳定转化表示相关性近似正常分布的Z分数。特定预测方法,氯化剂,水源和DBPS型的影响考虑到由于溴化物的存在而可能的影响,通过ANOVA对Z分数进行检查,测试主要效果和一些变量相互作用。所执行的分析是基于系统覆盖的广泛现有文献,首先尝试暴露与DBPS形成相关的相关强度的差异和模式。与特异性紫外光吸收(SUVA)或荧光发射强度相比,水样的ABS和OC浓度倾向于证明与DBPS形成的最强相关性。与其他氯化剂相比,Dbps形成在氯化过程中的相关性表明,基于诸如ABS,OC和Flus的简单描述符,暗表明在预测DBPS浓度时提出更小的强度。在一系列不同的水类型中,当废水氯化时,预计将增加与DBPS形成的相关性。非荧光问题可能是水氯化过程中Dbps形成的重要因素。当荧光强度被认为是预测工具时,选择类似腐殖质的而不是蛋白质荧光,可以增强与Dbps形成的相关性的强度。与Dbps形成相关的ABS,OC和氟的不同性能可能是有益的,可以有助于优化不同DBPS前体的去除。

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