A reliable simulation of the manganese cycle in water supply system is essential for timely and effective manganese treatment strategies. A data-driven model estimating manganese levels in the treated water was developed through a threshold-based approach using raw water and supernatant return manganese levels. This data-driven model and a three-dimensional manganese cycle model for the source reservoir were integrated to simulate the overall manganese variations from the lake to the treated water. A decision support system based on the developed data-driven model was established to allow operators to react to situations that could result in elevated levels of manganese in the treated water. Scenario analyses were completed to examine the manganese variations in the reservoir, raw water and treated water due to different precipitations and wind conditions and to allow the identification of optimal strategies for manganese management from the reservoir to the water supply system.

供水系统中锰循环的可靠模拟对于及时有效的锰处理策略至关重要。通过使用生水和上清液返回锰含量的基于阈值的方法，开发了一种估计了处理后水中锰含量的数据驱动模型。该数据驱动的模型和源储层的三维锰循环模型被集成，以模拟从湖到处理水的总体锰变化。建立了基于已开发数据驱动模型的决策支持系统，以使操作员能够应对可能导致处理水中锰含量升高的情况。完成了情景分析，以检查储层中的锰变化，