<br>量化外部载荷和内部水动力过程对奥基乔比湖水质的贡献,Science of the Total Environment

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量化外部载荷和内部水动力过程对奥基乔比湖水质的贡献
Science of the Total Environment ( IF 8.2 ) Pub Date : 2023-04-25 , DOI: 10.1016/j.scitotenv.2023.163713
Satbyeol Shin ₁ , Younggu Her ₂ , Rafael Muñoz-Carpena ₃ , Xiao Yu ₄

Affiliation

水体的水质由内部流体动力学过程和外部载荷决定。了解水体的外部负荷和内部过程之间的相互作用对于高效的水管理和改善水质至关重要。研究和工作集中在排水流域的水和养分负荷上，但水体内部过程对水质的贡献往往被忽视，也没有得到很好的记录。本研究使用统计和数值建模方法调查了奥基乔比湖的水质如何受外部和内部因素的控制。使用多线性回归对在奥基乔比湖流域流域和湖内 19 个监测点的出口处观察到的水量和水质进行统计分析。根据观测结果校准了一个三维数值模型，即环境流体动力学代码（EFDC），以数学方式表示湖泊的内部水动力过程。多元线性回归分析发现，在外部因素中，水质对气温、基西米河流域入湖总磷（TP）浓度和湖外流量最敏感。然而，回归模型及其解释能力因监测站而异。校准 EFDC 模型的模型参数敏感性分析表明，与湖泊内部藻类过程相关的模型参数（包括藻类生长、捕食和基础代谢速率）对藻类生物量的影响大于控制营养相关过程的其他模型参数，例如营养半饱和和水解速率。 EFDC 输入数据敏感性分析发现，风（速度）是内部水动力过程的主要驱动力;它对藻类生物量的影响大于外部载荷的影响。此外，发现藻类生物量与风引起的水平电流成反比关系。结果表明，内部和外部驱动因素对奥基乔比湖水质的动态贡献，表明需要考虑内部流体动力学和外部加载过程，以有效地改善湖泊的水质。

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Quantifying the contribution of external loadings and internal hydrodynamic processes to the water quality of Lake Okeechobee

The water quality of a waterbody is determined by internal hydrodynamic processes as well as external loadings. Understanding the interaction between the external loading and internal process of a waterbody is essential for efficient water management and water quality improvement. Studies and efforts have focused on water and nutrient loading from drainage watersheds, but the contribution of the waterbody's internal process to water quality is often ignored and not well documented. This study investigated how the water quality of Lake Okeechobee is controlled by external and internal factors using statistical and numerical modeling approaches. Water quantity and quality observed at the outlets of the Lake Okeechobee drainage basins and 19 monitoring sites located within the lake were statistically analyzed using multilinear regression. A three-dimensional numerical model, namely Environmental Fluid Dynamics Code (EFDC), was calibrated to the observations to mathematically represent the lake's internal hydrodynamic process. The multilinear regression found that the water quality was the most sensitive to air temperature, the total phosphorus (TP) concentration of inflow entering the lake from the Kissimmee River basins, and the amount of outflow discharged from the lake among external factors. However, the regression models and their explanatory power were substantially varied by the monitoring stations. The model parameter sensitivity analysis of the calibrated EFDC model showed that model parameters related to the lake's internal algal processes including algal growth, predation, and basal metabolism rates had greater impacts on algal biomass than other model parameters controlling nutrient-related processes such as nutrient half-saturation and hydrolysis rates. The EFDC input data sensitivity analysis found that wind (speed) is the major driving force for the internal hydrodynamic processes; its impact on algal biomass was greater than those of the external loadings. In addition, the algal biomass was found to have an inverse relationship with wind-induced horizontal currents. The results demonstrate the dynamic contribution of the internal and external drivers to the water quality of Lake Okeechobee, suggesting the need to consider both internal hydrodynamic and external loading processes for efficient water quality improvement of the lake.

更新日期：2023-04-25

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