In recent years, with the continuous advancement of technology, artificial intelligence (AI) technology has played an increasingly important role in environmental monitoring and early warning. Especially in the field of marine ecological monitoring, the application of AI is gradually changing traditional early warning mechanisms, improving the accuracy and timeliness of early warnings. The recent AI buoy red tide warning event in Xiamen waters is a prime example, demonstrating the immense potential and application prospects of AI technology in red tide monitoring.
Red tides are marine ecological disasters caused by the abnormal proliferation of phytoplankton (such as algae), often accompanied by water quality deterioration and decreased dissolved oxygen levels, posing severe threats to marine ecosystems, fisheries resources, and public health. The causes of red tides are complex, involving the combined effects of factors such as seawater temperature, salinity, and nutrient concentration. Traditional red tide monitoring primarily relies on manual sampling and laboratory analysis, which are time-consuming and costly, often making timely warnings difficult.
To address this challenge, Xiamen City has introduced an AI buoy system to explore new approaches for predicting and warning of red tides in the ocean. AI buoys can not only monitor chlorophyll a concentrations in seawater in real time but also predict red tide occurrences through data analysis models with an accuracy rate exceeding 90%. This technology provides a more efficient and precise tool for red tide early warning and prevention.
AI buoys are marine monitoring devices equipped with advanced sensors and data processing systems, capable of measuring multiple parameters in seawater in real time, such as water temperature, salinity, and chlorophyll a concentrations. Chlorophyll a is an important biological marker for marine phytoplankton, and sudden changes in its concentration typically indicate the onset of a red tide. By continuously monitoring chlorophyll a concentration data, AI buoys can provide an initial warning of red tide occurrences.
AI buoys not only possess basic sensing capabilities but also utilize artificial intelligence algorithms to conduct in-depth analysis of collected data. The algorithm model can predict the likelihood of a red tide occurring within the next three days based on trends in historical data and current monitoring data. In actual applications in Xiamen, this system has already been able to issue accurate warnings three days before a red tide occurs, providing valuable response time for relevant departments.
Notably, the AI buoy system has upgraded from "single-point monitoring" to "regional joint defense." By sharing data with the Fujian Provincial Marine Forecast Center, real-time monitoring data from adjacent waters such as Sansha Bay and Quanzhou Bay can be shared, forming a red tide warning network covering Fujian's coastal areas. Its core algorithm has been selected as a typical application scenario for artificial intelligence in Fujian Province, and related patent technologies are being gradually promoted to high-risk red tide regions such as the Guangdong-Hong Kong-Macao Greater Bay Area and the Yangtze River Delta.
"AI buoys are like 'smart sentinels' of the ocean, giving us true control over red tide prevention and control," said Wang Xiaoming, project leader and professor at Xiamen University. In the future, the team will further integrate data from deep-sea buoys, underwater robots, and other equipment to develop a red tide formation and dissipation dynamics prediction model, aiming to extend the warning lead time to seven days and provide stronger scientific and technological support for safeguarding the ecological security of China's coastal waters.
