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Exploring the water quality driving mechanism in Poyang Lake, the largest freshwater lake in China

机译：探索中国最大的淡水湖鄱阳湖水质推动机制

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摘要

Poyang Lake, the largest freshwater lake and typical river-connected lake in China, was selected as a research area. A method was first proposed to quantitatively explore the mechanisms driving water quality evolution, in which the weights of horizontal boundary input, self-purification, vertical atmospheric deposition and sediment release could be determined. A two-dimensional water environment model for Poyang Lake was developed in the framework of the Finite Volume Method and calibrated against the field investigated data. Four typical months in a common-water year were determined for numerical experiments to investigate the temporal and spatial water quality driving mechanisms in Poyang Lake. The results suggested that boundary input and self-purification have the greatest effect on dominating the water quality in Poyang Lake, followed by atmospheric deposition and sediment release. The driving weights of these four factors are 57.2%, 26.5%, 9.3%, and 7.0%, respectively. However, the impact on lake water quality of external water quality, aquatic ecosystem structure, precipitation distribution, and meteorological conditions, which are attributed to the disparities in geographical situation, varied significantly with seasons and locations.
机译：鄱阳湖是最大的淡水湖和中国典型的河流连接湖，被选为研究区。首先提出一种方法来定量探索驱动水质进化的机制，其中水平边界输入，自净化，垂直大气沉积和沉积物释放的重量可以确定。在有限体积法的框架中开发了鄱阳湖二维水环境模型，并针对现场调查数据进行校准。普通水中的四个月有4个典型的数月，用于研究鄱阳湖时空和空间水质驾驶机制的数值实验。结果表明，边界输入和自我净化对鄱阳湖中的水质产生了最大的影响，然后是大气沉积和沉积物释放。这四种因素的驱动重量分别为57.2％，26.5％，9.3％和7.0％。然而，对外部水质的影响，水生生态系统结构，降水分布和气象条件的影响，这些条件归因于地理局势的差异，随着季节和地点而变化。

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