宁夏阅海营养状态演变及主控因子识别

Evolution of trophic state and identification of main controlling factors in Yuehai of Ningxia

  • 摘要: 阅海是国家湿地公园,也是黄河上游引黄灌区典型退水湖泊,水体营养状态是影响其生态系统稳定性的重要因素。为探究阅海营养状态演变趋势及主要影响因素,基于2020—2024年连续5年断面时序水质数据,采用皮尔逊相关性分析、主成分分析(PCA)与结构方程模型(SEM),分析营养状态时间变化及驱动因素。结果表明:2020—2024年,阅海综合营养状态指数〔TLI(Σ)〕年均值介于47.14~50.29,营养状态分级为中营养至轻度富营养,年尺度呈现营养状态下降趋势。在月尺度上,1—3月营养状态处于低位,4月起随水温上升和农田退水以及生态补水输入营养状态逐渐上升,6—11月处于轻度富营养状态。PCA和相关性分析显示,Chla、SD、TP与TLI(Σ)显著相关(p<0.01),是影响阅海营养状态的关键因子。SEM模型结果表明TP对TLI(Σ)路径系数为0.242,其通过促进藻类生长,导致Chla浓度升高,进而影响阅海营养状态变化;而湖泊物理因子(水温、pH、SD)对TLI(Σ)路径系数为0.367,其对营养状态有直接作用,同时通过间接路径调控营养盐与Chla。阅海独特的闭口型湖泊水文特征,造成其营养状态变化主要受磷和物理因子的影响。研究揭示了阅海营养状态演变过程的主控因子,可为阅海水生态保护修复提供依据。

     

    Abstract: Yuehai is a national wetland park and a typical drainage lake in the Yellow River upstream irrigation area. Its water trophic state is a critical factor influencing the stability of its ecosystem. To investigate the evolution trends and main driving factors of the trophic state in Yuehai, this study employed Pearson correlation analysis, principal component analysis (PCA), and structural equation modeling (SEM) to analyze the temporal changes and driving factors, using five consecutive years of cross-section time-series water quality data from 2020 to 2024. The results showed that from 2020 to 2024, the annual average value of comprehensive trophic state index (TLI(Σ)) of Yuehai was between 47.14 and 50.29, and the trophic state was classified as mesotrophic to lightly eutrophic. On the annual scale, a declining trend in trophic state was observed. On the monthly scale, the trophic state was at a low level from January to March. Since April, the trophic state gradually increased with the increase of water temperature, farmland water withdrawal and ecological water supplement, and it was in a lightly eutrophic state from June to November. PCA and correlation analysis showed that Chla, SD and TP were significantly correlated with TLI (Σ) (p<0.01), which were the key factors affecting the trophic state of Yuehai. The SEM results showed that TP had a path coefficient of 0.242 to TLI(Σ) by promoting algae growth and increasing Chla levels, thereby affecting the trophic state. The path coefficient of physical factors (T, pH, SD) to TLI(Σ) was 0.367, which had a direct effect on trophic state, and regulated nutrients and Chla through indirect pathways. The unique hydrological characteristics of the closed lake in Yuehai result in its trophic state change being primarily influenced by phosphorus and physical factors. This study identifies the main controlling factors of the evolution process of the trophic state of Yuehai, providing a basis for the ecological protection and restoration of Yuehai.

     

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