院报 ›› 2024, Vol. 41 ›› Issue (1): 52-58.DOI: 10.11988/ckyyb.20221549

• 水环境与水生态 • 上一篇    下一篇

汛期水库调度对小江水华的影响

黄宇波1,2, 曹光荣1, 范向军1, 杨霞1,2, 舒卫民2, 毕永红3   

  1. 1.中国长江三峡集团有限公司 流域枢纽运行管理中心,湖北 宜昌 443133;
    2.湖北省智慧水电技术创新中心,武汉 430000;
    3.中国科学院水生生物研究所,武汉 430072
  • 收稿日期:2022-11-17 修回日期:2023-03-10 出版日期:2024-01-01 发布日期:2024-01-15
  • 通讯作者: 曹光荣(1972-),男,湖北大冶人,正高级工程师,博士,从事水库调度与环境保护研究工作。E-mail:cao_guangrong@ctg.com.cn
  • 作者简介:黄宇波(1990-),男,湖北宜都人,高级工程师,博士,从事水库环境监测与研究工作。E-mail:yubo618@163.com
  • 基金资助:
    国家自然科学基金项目(U2040210,U2040220);中国长江三峡集团有限公司员工科研项目(NBYG202200450)

Influence of Reservoir Operation in Flood Season on Water Bloom of Xiaojiang River

HUANG Yu-bo1,2, CAO Guang-rong1, FAN Xiang-jun1, YANG Xia1,2, SHU Wei-min2, BI Yong-hong3   

  1. 1. River Basin Complex Administration Center, China Three Gorges Corporation, Yichang 443133,China;
    2. Hubei Technology Innovation Center for Smart Hydropower, Wuhan 430000,China;
    3. Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
  • Received:2022-11-17 Revised:2023-03-10 Online:2024-01-01 Published:2024-01-15

摘要: 为研究三峡水库汛期调度对支流水华的抑制效果,于2022年6月24日—7月3日,跟踪监测三峡水库调度前期、调度期、调度后期代表性支流小江的藻类群落结构与水体理化因子,采用Kruskal-Wallis秩检验分析调度前后的水环境变化,采用Pearson相关分析和逐步回归分析探究藻类与环境因子的关系,采用RDA分析探究不同环境因子对藻类群落结构变化的贡献度,构建结构方程模型解析水库调度对水华的影响。结果显示,调度前期小江常年回水区发生蓝藻水华,以叶绿素a浓度表征的藻类生物量最高达到58.33 μg/L;通过调度水位抬升后,藻类生物量降至6.41 μg/L。回水区水温、pH值、总氮(TN)浓度降低,总磷(TP)浓度、硝酸盐(NO-3-N)浓度升高(p<0.01);逐步回归分析结果表明藻类生物量受水位变化过程中的TN、NO-3-N、磷酸盐(PO3-4-P)、水温、电导率(Cond)和化学需氧量(COD)的影响,共解释了79%的生物量变化。结构方程模型表明,水位抬升能降低COD浓度,显著降低支流水体的叶绿素a含量。研究结果表明通过适当的水库调度能够有效抑制三峡支流水华,这可为水库生态环境管理和保护提供依据和新的解决方案。

关键词: 汛期水库调度, 水华, Kruskal-Wallis秩检验, RDA, 小江

Abstract: In the aim of investigating the inhibitory effect of Three Gorges Reservoir (TGR) operation in flood season on water bloom in its tributaries, we monitored the algal community and environmental parameters of water body in Xiaojiang River, a representative tributary of TGR, before, during, and after TGR operation from June 24th to July 3rd, 2022. We employed the Kruskal-Wallis rank test to analyze the changes in water environment, the Pearson correlation and stepwise regression analysis to examine the relationship between algae and environmental factors, and RDA to assess the contribution of different environmental factors to the variation of algae community structure. Additionally, we constructed a structural equation model to analyze the influence of reservoir operation on water bloom. The results demonstrated a significant decrease in algal biomass characterized by chlorophyll a concentration (from 58.33 μg/L to 6.41 μg/L) after the operation in the permanent backwater area where severe bloom occurred. In the whole backwater area, water temperature, pH value, and TN concentration decreased, while TP concentration and NO-3-N concentration increased (P<0.01). Stepwise regression analysis revealed that algal biomass was primarily influenced by total nitrogen (TN), nitrate (NO-3-N), phosphate (PO3-4-P), water temperature, electrical conductivity, and chemical oxygen demand (COD), explaining 79% of the biomass variation. The structural equation model indicated that water level rise led to a reduction in COD concentration and an evident decrease of chlorophyll a concentration. This study conclusively shows that proper reservoir operation can effectively inhibit water bloom in the tributary of the Three Gorges Reservoir. These findings provide a basis and a solution for reservoir eco-friendly management practices.

Key words: reservoir operation in flood season, water bloom, Kruskal-Wallis rank test, RDA, Xiaojiang River

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