利用雨水、污水等再生水资源经适当处理后进行含水层补给与回采利用(ASR)是目前解决区域水资源短缺的最有效的途径之一。我国对基于再生水利用的ASR技术的研究起步较晚，急需建立一套科学、系统的管理技术和方法。针对此问题，结合水文地质学原理，深入探讨人工补给回采对地下水流场演变的驱动作用，建立三维地下水系统动力学模型和溶质运移模型，实现再生水/地下水相互作用下的特征污染物迁移转化规律研究；在此基础上，研究ASR系统的可调控机制，将智能优化技术与系统运行管理技术相结合，综合分析水质保障、水资源可持续利用、节能降耗等目标的协同作用，构建基于再生水利用的ASR系统多目标优化调控模型；分析ASR系统运行全过程中的不确定因素，将蒙特卡罗方法与三维地下水流数值模型相耦合，建立基于不确定性分析的ASR系统动态预测预警与应急调控技术。最终建立一套集“模拟-优化调控-预警-应急调控”于一体的ASR调控管理技术。

One of the most effective ways to deal with local water shortage is the Aquifer Storage and Recovery (ASR) based on reclaimed water such as rain and sewage, which has been treated appropriately. The research on ASR technology based on reclaimed water starts late relatively in China. As a result, it is urgent to establish a set of scientific and systematic management technology. Based on the principle of hydrogeology, the driving effect of artificial recharge on the evolution of groundwater flow field is further discussed in this research. Thereafter, the three-dimensional dynamic model and solute transporting model of groundwater are established to study the pollutants migration and transformation law based on the interaction of reclaimed water and groundwater. Through the combination of intelligent optimization technology and systematic management technology, the regulation mechanism is researched and the multi-objective optimization model of ASR system based on reclaimed water is established, considering synergistic objectives of water quality safeguard, sustainable utilization of water resources and energy saving. At last, based on the analysis of uncertain factors in the whole process of ASR system, the dynamic forecasting and warning technology of ASR system is proposed through coupling Monte Carlo method with the three-dimensional numerical model. Then the emergency regulation mechanism is developed correspondingly. Through the above research, a scientific regulation management technology of ASR will be realized with a combination of simulation, optimal regulation, warning and emergency regulation.