Algal blooms occur frequently in Lake Chaohu in recent 20 years, producing a serious impact on the resident life and social production in Lake Chaohu watershed. Due to the lack of effective means in terms of comprehensive monitoring, high-precision simulation, and intelligent analysis, it is quite difficult for traditional methods to achieve the goal of status mastering, anomalies identifying, causes tracing, and trend simulating of water quality and algal blooms. Accordingly, the requirements of scientific prevention and emergency disposal of algal blooms in Lake Chaohu cannot be satisfied currently, and emergencies caused by algal blooms may occur at any time. Aiming at the requirements of comprehensive monitoring and emergency decision-making of algal blooms, a comprehensive monitoring network of water quality and algal blooms has been established in Lake Chaohu, by integrating several monitoring means, i.e., satellite remote sensing, UAV (unmanned aerial vehicle) monitoring, video monitoring, buoy and field monitoring. And modules of prediction, early-warning and emergency response of algal blooms are developed by combining the coupled hydrodynamic-water quality-algal blooms model. And both short-term (hourly in the next 2 days) and long-term (daily in the next 7 days) simulations of algal blooms are realized, as well as the simulation of algal blooms accumulation along the coast in the next 5 days. Finally, a platform for monitoring, early-warning and simulation of algal blooms in Lake Chaohu has been developed by integrating several function modules, e.g., monitoring of water quality and algal blooms, prediction and early-warning, emergency response, etc. By running this platform, the present situation, exceding standard limits information, and high-precision simulation and prediction of water quality and algae bloom in the whole lake can be grasped quickly and automatically, and risk assessment of algae bloom accumulation in key areas along the coast can also be realized. It shows that the implemented platform can provide scientific basis and data support for scientific prevention and emergency disposal of algal blooms in Lake Chaohu.