Peng Jiabin, Chen Junxu, Liu Shiyin, Liu Tie, Cao Min, Nanding Nergui, Zhuang Liangyu, Bao Anming, De Maeyer Philippe
School of Earth Sciences, Yunnan University, Kunming, 650500, China.
School of Earth Sciences, Yunnan University, Kunming, 650500, China; International Joint Research Center for Karstology, Yunnan University, Kunming, 650091, China.
Environ Pollut. 2024 Mar 15;345:123453. doi: 10.1016/j.envpol.2024.123453. Epub 2024 Jan 27.
The alpine lakes distributed on the plateau are crucial for the hydrological, and biogeochemical cycle, and also serve as a guarantee for regional economic development and human survival. However, under the influence of human interference and climate fluctuations, lakes are facing problems of eutrophication and subsequent algal blooms (ABs) with acceleration, and the development and driving factors of this phenomenon need to be considered as a whole. In this study, ten lakes located on the Yunnan-Guizhou Plateau were selected as the study area to analyze the spatiotemporal distribution of ABs and possible controlling forces. The FAI (Floating Algae Index) derived from multiple MODIS products and water quality data under high-frequency monitoring were selected as the data sources for characterizing ABs. Three nutrient parameters and five meteorological variables were used to explore the driving factors affecting ABs. Various methods of trend detection and correlation analysis have been applied. The main results are as follows: (1) Dianchi Lake (in lake area) and Xingyun Lake (in area proportion) are the two lakes with the most serious ABs in the historical period; (2) ABs are mainly distributed on the shoreline and northern edge of lakes, and tend to stay away from the lake center during high-temperature periods of the day; (3) Six lakes show a decreasing trend in ABs, especially after 2018, while other lakes (including Fuxian, Chenghai, Yangzong, and Erhai) are increasing, not only in peak value but also in duration; (4) Lakes with severe ABs are all P-restricted lakes, the minimum temperature is the most sensitive meteorological factor, while the impact of precipitation against ABs has a time lag; (5) Establishing a warning system of temperature and nutrient concentration is critical in ABs adaptive strategy. This study is expected to provide scientific references for regional water management and the restoration of the eutrophic aquatic ecosystem.
分布在高原上的高山湖泊对水文和生物地球化学循环至关重要，也是区域经济发展和人类生存的保障。然而，在人为干扰和气候波动的影响下，湖泊正加速面临富营养化及随后的藻华问题，需要综合考虑这一现象的发展及驱动因素。本研究选取位于云贵高原的10个湖泊作为研究区域，分析藻华的时空分布及可能的控制因素。选取由多个MODIS产品得出的浮游藻类指数（FAI）以及高频监测下的水质数据作为表征藻华的数据来源。使用三个营养参数和五个气象变量来探究影响藻华的驱动因素。应用了多种趋势检测和相关性分析方法。主要结果如下：（1）滇池（湖区）和星云湖（面积占比）是历史时期藻华最严重的两个湖泊；（2）藻华主要分布在湖泊的岸线和北部边缘，在白天高温时段倾向于远离湖心；（3）六个湖泊的藻华呈下降趋势，尤其是2018年之后，而其他湖泊（包括抚仙湖、程海、阳宗海和洱海）则在增加，不仅峰值增加，持续时间也在增加；（4）藻华严重的湖泊均为磷限制型湖泊，最低温度是最敏感的气象因素，而降水对藻华的影响具有时间滞后性；（5）建立温度和营养盐浓度预警系统对藻华适应性策略至关重要。本研究有望为区域水资源管理和富营养化水生生态系统的恢复提供科学参考。
