近年来有害藻华频繁发生且危害严重，对有害藻华预警预测技术的研究可为有害藻华的预警预报、生态学防治及防灾减灾提供借鉴.本文从有害藻华的运动预测预警、指标临界值预警、数据驱动模型和生态数学模型4个方面介绍了国内外有害藻华的预警技术研究进展，分析了各类预警技术的优劣，并提出了基于细胞特征预测蓝藻生长速率以及基于藻类群落特征预警蓝藻水华的新思路.
Harmful algal bloom (HAB) occurs frequently and causes serious damage. To study the earlywarning and prediction technology of HAB is of significance for the early-warning and prediction, ecological control, and disaster prevention and mitigation of HAB. This paper reviewed the research progress in the early-warning and prediction technologies of HAB, including transport prediction, specific factors critical value prediction, datadriven model, and ecological math model, and evaluated the advantages and disadvantages of these four types of technologies. Some new ideas were brought forward about the prediction of cyanobacterial growth rate based on cell characteristics, and the earlywarning of cyanobacterial bloom based on algal community characteristics.