College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, Wuhan 430015, China.
Int J Environ Res Public Health. 2018 Nov 21;15(11):2598. doi: 10.3390/ijerph15112598.
Impacted by ongoing climate change and anthropogenic activities, large seasonal lakes experience water regime evolution, which raises challenges for the management of water resources and environment. The water regime evolution refers to the spatial and temporal alterations in the hydrological features of lakes. Characterizing the lake water regime and its alteration may help policymakers design effective adaption strategies. Therefore, total 47 hydrological indicators were proposed, considering intra-annual fluctuations, flood and drought features, and rate and frequency of water level variations. Combined with Mann-Kendall algorithm and Sen's slope, the indicators were applied in Poyang Lake, a typically large seasonal lake in China, as a case study. The results revealed temporal and spatial variations in different hydrological indicators. The most dramatic alteration was the water level decline in October and November over the entire study phase, especially over the past 30 years. This was an urgent environmental problem that Poyang Lake faced, partially caused by the increased hydraulic gradient between southern and northern lake. It could trigger the drought occurring earlier, prolong the drought duration, and impair the wetland ecosystem. Environmental water requirements of both Poyang Lake and Yangtze River were suggested for regional sustainable development. The application in Poyang Lake showed the practicability and reliability of the indicators, which are applicable in international seasonal lakes. The series of indicators can be used in whole or in part, determined by the ecohydrological characters of a specific lake and the research objectives.
受气候变化和人为活动的影响,大型季节性湖泊经历了水情演变,这给水资源和环境管理带来了挑战。水情演变是指湖泊水文特征的时空变化。描述湖泊水情及其变化可以帮助决策者设计有效的适应策略。因此,考虑到年内波动、洪水和干旱特征以及水位变化的速率和频率,共提出了 47 个水文指标。结合 Mann-Kendall 算法和 Sen 斜率,将这些指标应用于中国典型的大型季节性湖泊——鄱阳湖作为案例研究。结果表明,不同水文指标存在时空变化。最显著的变化是整个研究阶段 10 月和 11 月的水位下降,尤其是在过去 30 年。这是鄱阳湖面临的一个紧迫的环境问题,部分原因是湖南和湖北之间的水力梯度增加。这可能会导致干旱提前发生,延长干旱持续时间,并损害湿地生态系统。为了区域可持续发展,建议鄱阳湖和长江的环境需水量。在鄱阳湖的应用表明,该指标具有实用性和可靠性,适用于国际季节性湖泊。这些指标可以全部或部分使用,具体取决于特定湖泊的生态水文学特征和研究目标。