机器学习在水环境藻类风险预警研究中的应用进展与趋势分析OA

In recent years,frequent occurrences of abnormal algal blooms have posed potential threats to water envi-ronment and human health,but the machine learning method provides an effective technical approach for algal risk warning.In order to comprehensively understand the progress,review and analysis of the application of machine learning in algal risk early warning research in water environments was conducted by CiteSpace software to reveal the overall development trajectory,frontier hotspots and future trends of research in this field.The results indicate that:1)the number of research by machine learning for algal risk warning can be divided into three phases of slow start,fluctuating rise and rapid development;2)The institutions and authors with significant influence are predomi-nantly located in modern countries;3)After more than 20 years of development,the breadth and depth of the re-search have expanded noticeably.The current attention is focused on data-driven machine learning models.The re-sults provide a reference for further research.