Jingxin Wei, Peiliang Chen, Xingcheng Fu, Jie Ling, Bingqing Xiao, Xuedong Xie, Bozhu Huang, Jingyi Cen, Songhui Lu
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引用次数: 0
Abstract
Extreme rainfall reshapes the underwater light field and nutrient regime, complicating the predictability of algal risk. We sampled 20 subtropical drinking-water reservoirs in Guangdong, China, in June and September 2024 and used a data-driven search to identify month-specific antecedent rainfall windows. The optimal antecedent windows showed strong seasonality, spanning 30 d in June but only 6 d in September, with contrasting cumulative rainfall thresholds (k = 26 d in June and k = 48 d in September). Then, we used piecewise SEM to disentangle the pathways of light attenuation coefficient (Kd) and nutrients (DIN, TP) influencing size-fractionated chlorophyll-a. Under the late-season window, rainfall consistently elevates turbidity and redistributes nutrients, yielding robust increases in pico/nano chlorophyll while effects on > 20 μm remain weak—together providing an actionable 7–8-week lead time. Building on these patterns, we outline a joint monitoring bundle—windowed rainfall, Kd, and TN/TP—and convert windows into practical rules for sampling frequency and station placement in storm-prone reservoirs. The framework reduces window-selection bias and is readily transferable to operational early warning.
期刊介绍:
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.