Cloud System Structure Pre-Warning System and Method for Canal type Reservoir Tributary Bay Water Bloom

Abstract

This research proposes a cloud system structure pre-warning system and method for canal type reservoir tributary bay water bloom. The system consists of five modules: monitoring cloud module, information cloud module, application supporting module, water bloom pre-warning module, and discussion decision-making module. The system achieves seamless linkage and operation control based on a cloud system structure, carrying out all-weather monitoring, cloud storage, and water bloom risk pre-warning. The water bloom pre-warning module consists of a risk analysis unit and a pre-warning and forecasting unit. The discussion decision-making module is used for achieving decision-making discussion and information sharing communication in a cloud environment. This study provides a new measure based on the cloud system structure for preventing and reducing water bloom events.