Cyanobacteria Blooms Short-term Monitoring and Prevention Control Strategies

杨宏业; 陈迪; 袁云娟; 杨凯伦; 刘婉蓉; 黄舒欣; 屈铭志

doi:10.19672/j.cnki.1003-6504.1401.23.338

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Cyanobacteria Blooms Short-term Monitoring and Prevention Control Strategies

更新时间：2026-11-05

- Cyanobacteria Blooms Short-term Monitoring and Prevention Control Strategies
- Vol. 47, Issue S1, Pages: 189-197(2024)
- 作者机构：
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- DOI：10.19672/j.cnki.1003-6504.1401.23.338
  CLC： X524
- Published：2024
- 稿件说明：
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杨宏业, 陈迪, 袁云娟, et al. Cyanobacteria Blooms Short-term Monitoring and Prevention Control Strategies[J]. 2024, 47(S1): 189-197.
DOI：

杨宏业, 陈迪, 袁云娟, et al. Cyanobacteria Blooms Short-term Monitoring and Prevention Control Strategies[J]. 2024, 47(S1): 189-197. DOI： 10.19672/j.cnki.1003-6504.1401.23.338.

摘要

蓝藻水华问题持续影响着中国内陆湖泊，华中地区O湖近年6-10月均会受到蓝藻水华的侵扰，造成水体生物死亡，堆积与异味影响到了湖泊的休憩功能。该研究于2022年7-10月在O湖展开，通过对该湖蓝藻水华的持续低空监测与研究，分析其湖面分布情况，结合气象数据探究其漂移方向与规律，对其发展情况展开预测，并尝试通过物理阻隔等措施，减少其扩散范围。结果表明，2022年7月初O湖蓝藻主要分布在湖区东部区域，西部与南部区域蓝绿藻数量较低，未形成水华。通过气象数据分析结合自动站水质监测数据，提前预测蓝藻水华会由东部区域突破已设置的挡藻围隔进入西部湖区。因此，研究立即在O湖大桥布设档藻围隔，将水华控制在O湖东部区域，避免了其向其他区域漂移和扩散，使得O湖西部与南部区域未出现蓝藻水华。研究表明，水质自动站数据及无人机监测能够较准确地判断蓝藻的空间分布，结合气象数据能够预测蓝藻水华期的漂移，根据预测结果建设挡藻物理阻隔，能有效限制蓝藻水华的漂移，验证了蓝藻水华监控与防治方法的可行性，为蓝藻早期控制与治理提供了新的思路。

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