Water disinfection is undoubtedly regarded as a critical step in ensuring the water safety for human consumption, and ozone is widely used as a highly effective disinfectant for the control of pathogenic microorganisms in water. Although the diminished ozone efficiencies in complex water matrices have been widely reported, the specific extent to which individual components of matrix act on the virus inactivation by ozone remains unclear, and effective methodologies to predict the comprehensive effects of various factors are needed. In this study, the decoupled impact of the intricate water matrix on the ozone inactivation of viruses was systematically investigated and assessed from a simulative perspective. The concept of "equivalent ozone depletion rate constant" () was introduced to quantify the influence of different species, and a kinetic model was developed based on the values for simulating the ozone inactivation processes in complex matrix. The mechanisms through which diverse species influenced the ozone inactivation effectiveness were identified: 1) competition effects ( = 10∼10 Ms), including organic matters and reductive ions (SO, NO, and I), which were the most influential species inhibiting the virus inactivation; 2) shielding effects ( = 10∼10 Ms), including Ca, Mg, and kaolin; 3) insignificant effects ( = 0∼1 Ms), including Cl, SO, NO, NH, and Br; 4) promotion effects ( = ∼−10 Ms), including CO and HCO. Prediction of ozone disinfection efficiency and evaluation of species contribution under complex aquatic matrices were successfully realized utilizing the model. The systematic understanding and methodologies developed in this research provide a reliable framework for predicting ozone inactivation efficiency under complex matrix, and a potential tool for accurate disinfectant dosage determination and interfering factors control in actual wastewater treatment processes.

中文翻译：

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废水中臭氧灭活病毒的系统研究和模型预测：解耦基质效应


水消毒无疑被视为确保人类饮用水安全的关键步骤，而臭氧作为控制水中病原微生物的高效消毒剂被广泛使用。尽管复杂水基质中臭氧效率降低的现象已被广泛报道，但基质中各个成分对臭氧灭活病毒的具体作用程度仍不清楚，需要有效的方法来预测各种因素的综合影响。在这项研究中，从模拟的角度系统地研究和评估了复杂的水基质对臭氧灭活病毒的解耦影响。引入“等效臭氧消耗速率常数”（）的概念来量化不同物种的影响，并根据这些值建立了动力学模型，用于模拟复杂基质中的臭氧失活过程。确定了不同物种影响臭氧灭活效果的机制：1）竞争效应（= 10∼10 Ms），包括有机物和还原离子（SO、NO和I），它们是抑制病毒最有影响力的物种失活； 2）屏蔽作用（=10∼10Ms），包括Ca、Mg、高岭土； 3）影响不显着（=0∼1Ms），包括Cl、SO、NO、NH和Br； 4）促进作用（=∼−10 Ms），包括CO和HCO。利用该模型成功实现了复杂水体基质下臭氧消毒效率的预测和物种贡献的评估。 本研究中开发的系统理解和方法为预测复杂基质下的臭氧灭活效率提供了可靠的框架，并为实际废水处理过程中准确确定消毒剂剂量和控制干扰因素提供了潜在工具。