Shallow lakes and reservoirs in densely populated plains face complex challenges, including limited water storage capacity, degraded water quality, and imbalances between water supply and demand. These challenges are closely linked to hydrodynamic conditions. Understanding and optimizing lake hydrodynamics is essential for mitigating flood risk, alleviating water scarcity, and restoring aquatic ecosystems. This study investigates the potential of hydrodynamic restructuring to enhance environmental and ecological outcomes in shallow plain lakes. We integrate multi-modal datasets—including meteorological, hydrological, water quality, and remote sensing information—and apply coupled models of hydrodynamics and solute transport to assess system responses. Based on this framework, we propose regulation strategies that maintain water security while improving environmental quality and supporting ecosystem recovery.