A comprehensive spatial and temporal understanding of the manganese cycle in drinking water reservoirs has beneficial implications for the management of water treatment related issues. In this study, a three-dimensional manganese cycle model was developed and coupled with a hydrodynamic model, for the simulation of the distribution of manganese in a monomictic water reservoir. The model was successfully validated and used to model and predict the spatial-temporal manganese variation in the reservoir. Results showed that the variations of the thermal structure of the reservoir affect the seasonal change of manganese levels and in turn the peak concentrations of manganese in the epilimnion. It was also evident that the high level of dissolved oxygen in the epilimnion promotes the oxidation of soluble manganese, and the oxidised particulate Mn settles rapidly. The advection processes mainly caused by wind-driven currents play a vital role in rising or decreasing the level of soluble manganese near the dam wall. The developed numerical tool allows the user to gain a better understanding of spatial manganese distribution in different locations and depths of the reservoir under different wind/rain conditions, among others; such knowledge empowers the local water utility and enables more targeted, optimized water treatment strategies.

对饮用水水库中锰循环的全面时空理解对水处理相关问题的管理具有有益意义。在这项研究中，开发了一个三维锰循环模型，并结合了流体动力学模型，用于模拟单一水库中锰的分布。该模型被成功验证并用于模拟和预测储层中锰的时空变化。结果表明，储层热力结构的变化影响锰含量的季节变化，进而影响表层锰的峰值浓度。也很明显，表层中高水平的溶解氧促进了可溶性锰的氧化，氧化后的颗粒 Mn 迅速沉降。主要由风驱动流引起的平流过程对坝壁附近可溶性锰水平的升高或降低起着至关重要的作用。开发的数值工具使用户能够更好地了解不同风/雨条件下水库不同位置和深度的空间锰分布；这些知识增强了当地水务公司的能力，并使更有针对性、更优化的水处理战略成为可能。开发的数值工具使用户能够更好地了解不同风/雨条件下水库不同位置和深度的空间锰分布；这些知识增强了当地水务公司的能力，并使更有针对性、更优化的水处理战略成为可能。开发的数值工具使用户能够更好地了解不同风/雨条件下水库不同位置和深度的空间锰分布；这些知识增强了当地水务公司的能力，并能够实现更有针对性、更优化的水处理战略。