School of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, China.
State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China.
Sci Rep. 2024 Sep 16;14(1):21568. doi: 10.1038/s41598-024-70408-4.
Understanding the risks of planktonic algal proliferation and its environmental causes is crucial for protecting water quality and controlling ecological risks. Reservoirs, due to the characteristics of slow flow rates and long hydraulic retention times, are more prone to eutrophication and algal proliferation. Chlorophyll-a (Chl-a) serves as an indicator of planktonic algal biomass. Exploring the intricate interactions and driving mechanisms between Chl-a and the water environment, and the potential risks of algal blooms, is crucial for ensuring the ecological safety of reservoirs and the health of water users. This study focused on the Danjiangkou Reservoir (DJKR), the core water source of the Middle Route of the South-to-North Water Diversion Project of China (MRSNWDPC). The multivariate statistical methods and structural equation modeling were used to explore the relationships between chlorophyll-a (Chl-a) contents and water quality factors and understand the driving mechanisms affecting Chl-a variations. The Copula function and Bayesian theory were combined to analyze the risk of changes in Chl-a concentrations at Taocha (TC) station, which is the core water source intake point of the MRSNWDPC. The results showed that the factors driving planktonic algal proliferation were spatially heterogeneous. The main factors affecting Chl-a concentrations in Dan Reservoir (DR) were water physicochemical factors (water temperature, dissolved oxygen, pH value, and turbidity) with a total contribution rate of 60.18%, whereas those in Han Reservoir (HR) were nutrient factors (total nitrogen, total phosphorus, and ammonia nitrogen) with a total contribution rate of 73.58%. In TC, the main factors were water physicochemical factors (turbidity, pH, and water temperature) and nutrient factors (total phosphorus) with total contribution rates of 39.76% and 45.78%, respectively. When Chl-a concentrations in other areas of the DJKR ranged from the minimum to the uppermost quartile, the probabilities that Chl-a concentrations at the TC station exceeded 3.4 μg/L (the benchmark value of Chl-a for lakes in the central-eastern lake area of China) owing to the influence of these areas were all less than 10%. Thus, the risk of planktonic algal proliferation at the MRSNWDPC intake point is low. This study developed an integrated framework to investigate spatiotemporal changes in algal proliferation and their driving factors in reservoirs, which can be used to support water quality management in mega hydro projects.
了解浮游藻类增殖的风险及其环境成因对于保护水质和控制生态风险至关重要。由于流速缓慢和水力停留时间长的特点,水库更容易发生富营养化和藻类增殖。叶绿素-a(Chl-a)是浮游藻类生物量的指标。探讨 Chl-a 与水环境之间的复杂相互作用和驱动机制,以及藻类大量繁殖的潜在风险,对于确保水库的生态安全和用水者的健康至关重要。
本研究以中国南水北调中线工程核心水源地丹江口水库(DJKR)为研究对象。采用多元统计方法和结构方程模型,探讨了叶绿素-a(Chl-a)含量与水质因子之间的关系,解析了影响 Chl-a 变化的驱动机制。运用 Copula 函数和贝叶斯理论,分析了南水北调中线工程核心水源地陶岔(TC)站 Chl-a 浓度变化的风险。
结果表明,浮游藻类增殖的驱动因素在空间上存在异质性。丹江口水库(DR)中影响 Chl-a 浓度的主要因素是水理化因子(水温、溶解氧、pH 值和浊度),总贡献率为 60.18%;而在汉江口水库(HR)中,主要因素是营养因子(总氮、总磷和氨氮),总贡献率为 73.58%。在 TC 站,主要因素是水理化因子(浊度、pH 值和水温)和营养因子(总磷),总贡献率分别为 39.76%和 45.78%。当丹江口水库其他区域的 Chl-a 浓度处于最低到最高四分位数范围内时,这些区域对 TC 站 Chl-a 浓度超过 3.4μg/L(中国中东部湖泊的 Chl-a 基准值)的影响概率均小于 10%。因此,南水北调中线工程取水口浮游藻类增殖的风险较低。
本研究构建了一个综合框架,用以调查水库中藻类增殖的时空变化及其驱动因素,可为大型水利工程的水质管理提供支持。