引黄灌区补水湖泊夏季pH分布特征及影响因素以阅海为例

Distribution characteristics and influencing factors of summer pH levels in replenishment lakes within Yellow River diversion irrigation districts: the case of Yuehai Lake

  • 摘要: 阅海是国家重要湿地,水体pH影响湖泊生态系统稳定性。为探究阅海夏季pH偏高的影响因素,基于2020—2024年阅海区控断面月度水质数据及阅海水质自动站日数据、2025年夏季黄河补水及阅海湖区水质详细调查数据,探讨阅海pH时空分布特征及黄河补水、蒸发浓缩、生物活动对阅海pH的影响。结果表明:1)2020—2024年阅海夏季pH高于冬季且夏季存在日尺度pH大于GB 3838—2002《地表水环境质量标准》的标准限值现象(pH>9),2025年夏季阅海pH范围在8.23~9.24,空间分布上在东南侧补水口较低,在湖心出现高值区。2)相关性分析结果表明,pH与溶解氧(DO)浓度呈显著正相关,与钙离子(Ca2+)、碳酸氢根(H\mathrmCO_3^- )浓度呈显著负相关。主成分分析结果显示,pH在代表水体光合作用强度以及CaCO3沉淀溶解平衡的主成分中为正载荷,阅海pH受到黄河补水、蒸发浓缩以及生物活动的影响。3)根据水化学特征分析,阅海与黄河补水水化学类型分别为Cl-\mathrmSO_4^2- -Na+-Mg2+型和H\mathrmCO_3^- -\mathrmSO_4^2- -Ca2+-Mg2+型,两者存在离子浓度差异。夏季黄河补水pH仅为8.02,但黄河补水Ca2++Mg2+/\mathrmCO_3^2- +H\mathrmCO_3^- +H2\mathrmCO_3^* 值大于1,补水进入阅海后会消耗湖泊中溶解的无机碳,导致湖泊水体pH上升。Gibbs图显示阅海受到蒸发浓缩作用,湖水样品方解石、白云石的饱和指数均大于0,说明蒸发浓缩作用通过促进碳酸盐沉淀、消耗湖泊\mathrmCO_3^2- 和H\mathrmCO_3^- ,导致湖泊pH上升。夏季湖泊二氧化碳分压指数均小于0且溶解氧饱和度>100%,表明生物光合作用占据主导,湖泊中CO2被消耗导致pH上升。研究解释了黄河补水、蒸发浓缩及生物活动对阅海夏季pH高值的贡献,提出为缓解pH升高,可优化补水配置、关注湖泊营养状态。

     

    Abstract: Yuehai Lake is a nationally significant wetland, where water pH influences the stability of the lake ecosystem. To investigate factors influencing Yuehai Lake's elevated summer pH, we analyzed monthly water quality data from provincial monitoring sections and daily data from the automatic monitoring stations for the lake in 2020-2024, and detailed surveys of the water quality of Yellow River replenishment area and Yuehai Lake during the summer of 2025. We then examined the spatiotemporal distribution of Yuehai Lake's pH as well as the effects of Yellow River replenishment, evaporative concentration, and biological activities on pH levels. The results showed: 1) During 2020-2024, summer pH levels in Yuehai Lake exceeded winter values, with daily pH readings occasionally exceeding the 9.0 limit stipulated by the Environmental Quality Standards for Surface Water (GB 3838-2002). During the summer of 2025, pH ranged from 8.23 to 9.24, spatially distributed with lower pH near the southeastern inflow point and higher values towards the lake center. 2) Correlation analysis revealed significant positive correlations between pH and dissolved oxygen (DO), and significant negative correlations with Ca2+ and H\mathrmCO_3^- . Principal component analysis (PCA) showed that pH had positive loadings on components representing aquatic photosynthetic activity intensity and calcium carbonate (CaCO3) precipitation-dissolution equilibrium. Yuehai Lake's pH was influenced by Yellow River inflow, evaporative concentration, and biological activity. 3) Based on hydrochemical analysis, Yuehai Lake exhibited a Cl-\mathrmSO_4^2- -Na+-Mg2+ ion composition, whereas Yellow River inflow water displayed an H\mathrmCO_3^- -\mathrmSO_4^2- -Ca2+-Mg2+ composition, indicating ionic concentration disparities. During summer, the pH of Yellow River inflow water was 8.02, but the Ca2++Mg2+/\mathrmCO_3^2- +H\mathrmCO_3^- +H2\mathrmCO_3^* ratio of the Yellow River inflow exceeded 1. Upon entering the lake, this inflow consumed dissolved inorganic carbon, causing the pH of the lake to rise. Gibbs diagrams indicated evaporative concentration in Yuehai Lake, with saturation indices for calcite and dolomite exceeding zero in lake water samples. This demonstrated that evaporative concentration promoted carbonate precipitation, consuming \mathrmCO_3^2- and H\mathrmCO_3^- to elevate lake pH. Furthermore, the partial pressure of carbon dioxide index remained below zero during summer, while dissolved oxygen saturation exceeded 100%, indicating that biological photosynthesis was the dominant process, leading to CO2 consumption and a consequent rise in pH. This study suggests that the replenishment of water in the Yellow River, evaporation concentration, and biological activities contribute to the high pH values in Yuehai Lake during summer. To alleviate the increase in pH, we recommend adjusting the water replenishment scheme and closely managing the nutrient status of the lake.

     

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