市政技术2026，Vol.44Issue(2)：219-226,255,9.DOI:10.19922/j.1009-7767.2026.02.219
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
Progress and Trend Analysis of Algal Risk Warning Research in Water Environment by Machine Learning
摘要
Abstract
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.关键词
机器学习/水源水库/藻类增殖/风险预警/文献计量学分析Key words
machine learning/water source reservoir/algae proliferation/risk warning/bibliometric analysis分类
资源环境引用本文复制引用
高泽晨,夏樱,吴宝荣..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[J].市政技术,2026,44(2):219-226,255,9.基金项目
国家重点研发计划项目(2022YFC3203603-04) （2022YFC3203603-04）
上海城投(集团)有限公司科技创新计划项目(CTKY-PTRC-2025-002-007) （集团）
上海市青年科技启明星培育(扬帆专项)项目(22YF1444500) （扬帆专项）
上海城投水务(集团)有限公司科研项目(KY.YS.24.005) （集团）
