Abstract: The frequent outbreaks of algal blooms caused by lake eutrophication have become a significant constraint on the sustainable development of regional economies. Timely and comprehensive acquisition of information on water quality and algal blooms in eutrophic lakes is of paramount importance for the scientific prevention and control of algal blooms. Traditional methods for monitoring water quality and algal blooms in lakes suffer from issues such as weak timeliness, low spatial coverage, and a lack of diverse data analysis tools. This paper utilizes technologies such as satellite remote sensing, spatial databases, and WebGIS to develop an automatic monitoring and simulation analysis platform for water quality and algal blooms in eutrophic lakes. The platform integrates core technologies such as automatic monitoring of satellite remote sensing, dynamic virtual buoys, and dynamic spatio-temporal analysis of target aquatic environments. It achieves high spatio-temporal resolution monitoring of water quality and algal blooms in lakes, providing fine-grained representation and reanalysis capabilities for lake water quality and algal blooms at multiple scales. The platform has been demonstrated in pilot applications in Lake Taihu, Lake Chaohu, and Lake Dianchi, playing a crucial role in supporting monitoring, early warning, and management of water quality and algal blooms in lakes.

Key words: lakes, eutrophication, algal blooms, monitoring, platform