呼伦湖蓝藻水华驱动因子及防控对策
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1:内蒙古农业大学,旱区水工程生态环境全国重点实验室,呼和浩特 010018 ;2:黄河流域内蒙段水资源与水环境综合治理自治区协同创新中心,呼和浩特 010018 ;3:内蒙古金华源环境资源工程咨询有限责任公司,呼和浩特 010020 ;4:内蒙古黄河生态研究院,呼和浩特 010020

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内蒙古自治区科技领军人才团队项目(2022LJRC0007)、内蒙古农业大学基本科研业务费专项资金项目(BR22-12-04)和内蒙古自治区教育厅一流学科科研专项项目(YLXKZX-NND-010)联合资助


Driving factors and control measures of cyanobacterial bloom in Lake Hulun
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1:State Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Inner Mongolia Agricultural University, Hohhot 010018 , P.R.China ;2:Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Section of the Yellow River, Hohhot 010018 , P.R.China ;3:Inner Mongolia Jinhuayuan Environmental Resource Engineering Consulting Co., Ltd., Hohhot 010020 , P.R.China ;4:Inner Mongolia Yellow River Institute of Ecological Research, Hohhot 010020 , P.R.China

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    摘要:

    2022年呼伦湖频繁暴发蓝藻水华,几乎覆盖了整个湖面,破坏水域景观并严重威胁湖泊生态系统健康与安全。为揭示寒旱区呼伦湖大面积暴发蓝藻的驱动机制,于2022年春季、夏季和秋季共选取13个采样点采集表层、中层和底层水样,开展了蓝藻种类、丰度、生物量和水质指标的调查与研究。结果表明,共鉴定出蓝藻22种,优势类群10种,其中微囊藻(Microcystis spp.)为整个调查期间的优势类群。不同时期和不同深度水体中蓝藻的丰度和生物量均存在显著差异,夏季蓝藻丰度(2.58×109 cells/L)和生物量(3.30×102 mg/L)较春秋两季高1~2个数量级;春季蓝藻丰度和生物量均为湖泊底层最高,夏季和秋季均为湖泊表层最高。相关性分析和冗余分析结果表明,蓝藻的影响因子存在季节差异,水温、氮磷浓度、溶解氧和pH是驱动蓝藻水华暴发的关键环境因子。因此,适度控制营养盐浓度、实施氮磷双控及提升蓝藻水华预测预警与应急处置能力是有效降低蓝藻水华风险的根本途径,对未来寒旱区富营养化湖泊蓝藻水华防控具有重要意义。

    Abstract:

    In 2022, frequent cyanobacterial blooms occurred in Lake Hulun, covering nearly the entire lake surface, degrading aquatic landscapes, and posing serious threats to ecosystem health. To investigate the drivers of these large-scale blooms, water samples were collected from surface, middle, and bottom layers at 13 sampling sites during spring, summer, and autumn of 2022. Cyanobacterial species composition, abundance, biomass, and key water quality indicators were analyzed. A total of 22 cyanobacterial species were identified, with 10 dominant groups observed over the study period.Microcystis spp. remained the dominant genus across all seasons. The abundance and biomass of cyanobacteria varied significantly in different periods and depths. The abundance (2.58×109 cells/L) and biomass (3.30×102 mg/L) of cyanobacteria in summer were 1-2 orders of magnitude higher than those in spring and autumn. In spring, the abundance and biomass of cyanobacteria were the highest in the bottom layer of the lake, and the highest in the surface layer of the lake in summer and autumn. Correlation and redundancy analyses revealed seasonal differences in influencing factors, identifying water temperature, nitrogen and phosphorus concentrations, dissolved oxygen, and pH as key environmental drivers of bloom dynamics. For management, we recommend moderate nutrient control with a dual nitrogen-phosphorus reduction strategy, along with enhanced bloom prediction, early warning, and emergency response capabilities. These measures are essential for mitigating bloom risks in eutrophic lakes such as Lake Hulun and may inform future cyanobacterial bloom control strategies in similar ecosystems.

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李兴月,刘晓民,刘廷玺,张生,王梓行,卢宗福,王文娟,杨耀天.呼伦湖蓝藻水华驱动因子及防控对策.湖泊科学,2026,38(3):919-930. Li Xingyue, Liu Xiaomin, Liu Tingxi, Zhang Sheng, Wang Zihang, Lu Zongfu, Wang Wenjuan, Yang Yaotian. Driving factors and control measures of cyanobacterial bloom in Lake Hulun. Journal of Lake Sciences,2026,38(3):919-930. DOI:10.18307/2026.0311

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  • 收稿日期:2025-04-27
  • 最后修改日期:2025-08-19
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  • 在线发布日期: 2026-05-08
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