Abstract：
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\" (k\') was introduced to quantify the influence of different species, and a kinetic model was developed based on the k\' 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 (k\' = 105∼107 M-1s-1), including organic matters and reductive ions (SO32-, NO2-, and I-), which were the most influential species inhibiting the virus inactivation; 2) shielding effects (k\' = 103∼104 M-1s-1), including Ca2+, Mg2+, and kaolin; 3) insignificant effects (k\' = 0∼1 M-1s-1), including Cl-, SO42-, NO3-, NH4+, and Br-; 4) promotion effects (k\' = ∼-103 M-1s-1), including CO32- and HCO3-. 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.
摘要：
水消毒无疑是确保人类用水安全的关键一步，臭氧被广泛用作控制水中病原微生物的高效消毒剂。尽管已广泛报道了复杂水基质中臭氧效率的降低，基质的各个成分对臭氧灭活病毒的具体作用程度尚不清楚，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病毒臭氧灭活的解耦影响。引入“等效臭氧消耗速率常数”（k\'）的概念来量化不同物种的影响，并根据k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失活有效性的机制：1)竞争效应(k\'=105~107M-1s-1)，包括有机物和还原性离子(SO32-，NO2-,andI-),哪些是抑制病毒灭活的最具影响力的物种；2)屏蔽效应(k'=103~104M-1s-1)，包括Ca2+，Mg2+,和高岭土；3)不显著影响(k\'=0~1M-1s-1)，包括Cl-,SO42-,NO3-,NH4+,和Br-；4)促进作用(k\'=-103M-1s-1)，包括CO32-和HCO3-。利用该模型成功实现了臭氧消毒效率的预测和复杂水生基质下物种贡献的评估。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失活效率提供了可靠的框架，以及在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的潜在工具。
