Liu Fan, Zhang Honggang, Wang Yabo, Yu Jianwei, He Yi, Wang Dongsheng
National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Environment, China University of Geoscience (Wuhan), Wuhan 430074, China.
National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Yangtze River Delta Branch, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Yiwu 322000, China.
Water Res. 2024 Mar 1;251:121099. doi: 10.1016/j.watres.2023.121099. Epub 2024 Jan 1.
The escalation of global eutrophication has significantly increased due to the impact of climate change, particularly the increased frequency of extreme rainfall events. Predicting and managing eutrophication requires understanding the consequences of precipitation events on algal dynamics. Here, we assessed the influence of precipitation events throughout the year on nutrient and phytoplankton dynamics in a drinking water reservoir from January 2020 to January 2022. Four distinct precipitation patterns, namely early spring flood rain (THX), Plum rain (MY), Typhoon rain (TF), and Dry season (DS), were identified based on rainfall intensity, duration time, and cumulative rainfall. The study findings indicate that rainfall is the primary driver of algal dynamics by altering nutrient levels and TN:TP ratios during wet seasons, while water temperature becomes more critical during the Dry season. Combining precipitation characteristics with the lag periods between algal proliferation and rainfall occurrence is essential for accurately assessing the impact of rainfall on algal blooms. The highest algae proliferation occurred approximately 20 and 30 days after the peak rainfall during the MY and DS periods, respectively. This was influenced by the intensity and cumulative precipitation. The reservoir exhibited two distinct TN/TP ratio stages, with average values of 52 and 19, respectively. These stages were determined by various forms of nitrogen and phosphorus in rainfall-driven inflows and were associated with shifts from Bacillariophyta-dominated to Cyanophyta-dominated blooms during the MY and DS seasons. Our findings underscore the interconnected effects of nutrients, temperature, and hydrological conditions driven by diverse rainfall patterns in shaping algal dynamics. This study provides valuable insights into forecasting algal bloom risks in the context of climate change and developing sustainable strategies for lake or reservoir restoration.
由于气候变化的影响,特别是极端降雨事件频率的增加,全球富营养化的加剧显著上升。预测和管理富营养化需要了解降水事件对藻类动态的影响。在此,我们评估了2020年1月至2022年1月全年降水事件对一个饮用水水库中营养物质和浮游植物动态的影响。根据降雨强度、持续时间和累积降雨量,确定了四种不同的降水模式,即早春洪水雨(THX)、梅雨(MY)、台风雨(TF)和旱季(DS)。研究结果表明,降雨是藻类动态的主要驱动因素,它在雨季改变营养水平和总氮:总磷比率,而在旱季水温变得更为关键。将降水特征与藻类增殖和降雨发生之间的滞后时间相结合,对于准确评估降雨对藻华的影响至关重要。在梅雨期和旱季,藻类增殖最高分别出现在降雨峰值后的约20天和30天。这受到降雨强度和累积降水量的影响。该水库呈现出两个不同的总氮/总磷比率阶段,平均值分别为52和19。这些阶段由降雨驱动的入流中各种形式的氮和磷决定,并与梅雨期和旱季从以硅藻为主的藻华向以蓝藻为主的藻华转变相关。我们的研究结果强调了由不同降雨模式驱动的营养物质、温度和水文条件在塑造藻类动态方面的相互关联效应。这项研究为在气候变化背景下预测藻华风险以及制定湖泊或水库恢复的可持续策略提供了有价值的见解。