Abstract:Frequent cyanobacterial blooms pose a severe threat to the water ecological security and sustainable development of the Lake G basin. Addressing the limitations of existing control measures, such as their singular approach, lack of synergy, and poor long-term effectiveness, this paper constructs an integrated technical system for cyanobacterial bloom prevention and control in the Lake G basin, grounded in systems engineering principles. The core framework of this system revolves around the pathway of "source load reduction - process interruption - end-of-pipe treatment - smart management and control." It systematically integrates technologies for precise watershed pollution load reduction, hydrodynamic and ecological regulation within the lake, efficient emergency response for bloom outbreaks, and intelligent monitoring, early warning, and decision support based on the Internet of Things (IoT) and big data. Furthermore, the system emphasizes cross-departmental and cross-regional collaborative governance mechanisms and long-term management strategies, forming a comprehensive prevention and control network characterized by multi-objective, multi-level, and multi-technology synergy. Adhering to the principles of holism, dynamism, and sustainability, the construction of this system aims to enhance the systematization, precision, and long-term efficacy of cyanobacterial bloom control in the Lake G basin. It provides a systematic solution and technical foundation for managing eutrophication and algal blooms in large, shallow lakes.
