Department of Civil Engineering, University of Victoria, Victoria, Canada.
Environ Technol. 2022 Sep;43(21):3221-3230. doi: 10.1080/09593330.2021.1920626. Epub 2021 May 8.
Chlorine is a widely used water disinfectant in humanitarian emergency water supply. However, its effective application can be limited by the uncertainty in initial dose determination. The target free chlorine residual in water should achieve both health objectives and aesthetic considerations, but the varying field conditions and changing source water quality may affect the performance of chlorination strategies. A chlorine dose predictive tool could assist in initial dose determination. To this end, an accurate chlorine decay kinetic model can serve as a strong foundation for developing such a tool. In this study, a literature search identified 7 basic chlorine decay kinetic models that were subsequently tested with 610 different chlorine decay test data (from a semi-systematic literature search and laboratory-generated results). The models were then ranked based on their goodness of fit () and root mean square error. An empirical model, power models and parallel models were found able to fit most decay data with more than half of the regressions resulting in value over 0.97. First order models can achieve value above 0.95 when the data points in the rapid phase are excluded from the model fitting. The power models and parallel models can form a strong basis for developing a chlorine dose predictive tool if the power term and the ratio term (model parameters) can be controlled. An essential next step is to evaluate the relationships between easily obtainable water parameters in the field and the decay term in the models to allow rapid model calibration.
氯是人道主义紧急供水系统中广泛使用的水消毒剂。然而,其有效应用可能会受到初始剂量确定不确定性的限制。水中的目标游离氯余氯既要达到卫生目标,又要考虑到美学要求,但不断变化的现场条件和不断变化的水源水质可能会影响氯化策略的性能。氯剂量预测工具可以协助初始剂量的确定。为此,可以使用准确的氯衰减动力学模型为开发此类工具奠定坚实的基础。在这项研究中,通过文献检索确定了 7 种基本的氯衰减动力学模型,随后用 610 种不同的氯衰减测试数据(来自半系统文献检索和实验室生成的结果)对这些模型进行了测试。然后,根据拟合优度()和均方根误差对模型进行了排名。经验模型、幂函数模型和并行模型被发现能够拟合大多数衰减数据,其中一半以上的回归得到的 值大于 0.97。当从模型拟合中排除快速衰减阶段的数据点时,一级模型的 值可以大于 0.95。如果可以控制幂函数模型和并行模型中的幂次项和比值项(模型参数),则它们可以为开发氯剂量预测工具提供坚实的基础。下一步是评估在现场中可以获得的水参数与模型中的衰减项之间的关系,以便能够快速进行模型校准。