杞麓湖pH值时空分异特征及其富营养化过程的驱动机制研究

Spatio-temporal Dynamics of pH and Its Driving Mechanisms in the Eutrophication Process of Qilu Lake

  • 摘要: 高原封闭湖泊生态系统因水体交换受限、缓冲能力弱,对环境扰动呈现高度敏感性,其中pH值作为表征水体化学平衡的核心参数,其动态变化直接反映湖泊生态系统的健康状态。本研究以云贵高原典型富营养化湖泊杞麓湖为研究对象,基于2015—2024年杞麓湖湖心、北部和南部点位水质监测数据,结合统计分析与机理推理,揭示了pH值的时空分异特征及其在富营养化过程中的驱动作用。结果表明:杞麓湖pH呈现显著日变化与季节差异,夏季午后可突破9.5,冬季均值约7.6;pH与水温、溶解氧、叶绿素a呈显著正相关(r>0.57)。藻类光合作用是推高pH的直接驱动力,水温则通过促进藻类代谢与降低CO2溶解度发挥协同增强作用。研究进一步识别出“藻类增殖—pH升高—内源磷释放—藻华加剧”的正反馈回路:当pH>9.0时,沉积物中磷释放速率显著提升,同时高pH促进非离子氨(NH3)比例上升,加剧生态毒性。pH值由湖泊健康的“指示器”演变为驱动富营养化的“催化剂”。据此提出,应构建以pH为核心指标的藻华预警体系,实施基于生态稳态识别的差异化管理。

     

    Abstract: Plateau-closed lake ecosystems are highly sensitive to environmental disturbances due to their limited water exchange and weak buffering capacity. As a core parameter characterizing aquatic chemical equilibrium, the dynamic variation of pH directly reflects the health status of lake ecosystems. This study focuses on Qilu Lake, a typical eutrophic plateau lake on the YunnanGuizhou Plateau. Based on water quality monitoring data from central, northern, and southern sites of Qilu Lake between 2015 and 2024, combined with statistical analysis and mechanistic inference, this research reveals the spatiotemporal dynamics of pH and its driving role in the eutrophication process. The results indicate significant diurnal and seasonal variations in pH, with summer afternoons exceeding pH 9.5 and winter averaging approximately 7.6. pH showed significant positive correlations with water temperature, dissolved oxygen, and chlorophyll a(r > 0.57). Algal photosynthesis serves as the direct driver of pH elevation, while water temperature exerts a synergistic effect by enhancing algal metabolism and reducing CO2 solubility. The study further identifies a positive feedback loop of “algal proliferation – pH elevation – endogenous phosphorus release – intensified algal blooms.” When pH > 9.0, sediment phosphorus release rates increase significantly, while high pH promotes the proportion of non-ionic ammonia(NH3), exacerbating ecological toxicity. Thus, pH transitions from an “indicator” of lake health to a “catalyst” driving eutrophication. Accordingly, this study proposes establishing an algal bloom early warning system with pH as a core indicator and implementing differentiated management strategies based on ecological regime recognition.

     

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