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应用生态学报 ›› 2009, Vol. 20 ›› Issue (11): 2813-2819.

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有害藻华预警预测技术研究进展

王崇1;孔海南1**;王欣泽1;何圣兵1;郑向勇1,2;吴德意1   

  1. 1上海交通大学环境科学与工程学院,上海 200240;2温州大学生命与环境科学学院,浙江温州 325027
  • 出版日期:2009-11-20 发布日期:2009-11-20

Early-warning and prediction technology of harmful algal bloom: A review

WANG Chong1|KONG Hai-nan1|WANG Xin-ze1|HE Sheng-bing1|ZHENG Xiang-yong1,2|WU De-yi1   

  1. 1School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China|2School of Life and Environmental Science|Wenzhou University, Wenzhou 325027, Zhejiang, China
  • Online:2009-11-20 Published:2009-11-20

摘要: 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.

关键词: 有害藻华, 预警预测, 细胞特征, 群落特征, 植被覆盖度, 景观格局, 地形因子, 冻土类型

Abstract: Harmful algal bloom (HAB) occurs frequently and causes serious damage. To study the earlywarning 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, datadriven 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 earlywarning of cyanobacterial bloom based on algal community characteristics.

Key words: harmful algal bloom, early-warning and prediction, cell characteristics, community characteristics, vegetation coverage, landscape pattern, topographic factors, types of frozen ground.