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Parameter estimation for eutrophication models in reservoirs

机译:水库富营养化模型的参数估计

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Excessive eutrophication is a major water quality issue in lakes and reservoirs worldwide. This complex biological process can lead to serious water quality problems. Although it can be adequately addressed by applying sophisticated mathematical models, the application of these tools in a reservoir management context requires significant amounts of data and large computation times. This work presents a simple primary production model and a calibration procedure that can efficiently be used in operational reservoir management frameworks. It considers four state variables: herbivorous zooplankton, algae (measured as chlorophyll-a pigment), phosphorous and nitrogen. The model was applied to a set of Portuguese reservoirs. We apply the model to 23 Portuguese reservoirs in two different calibration settings. This research work presents the results of the estimation of model parameters.
机译:富营养化是世界各地湖泊和水库的主要水质问题。这种复杂的生物过程会导致严重的水质问题。尽管可以通过应用复杂的数学模型充分解决这些问题,但是将这些工具应用于储层管理环境需要大量数据和大量计算时间。这项工作提出了一个简单的主要生产模型和一个校准程序,可以在运营油藏管理框架中有效地使用它。它考虑了四个状态变量:草食性浮游动物,藻类(以叶绿素a色素测量),磷和氮。该模型已应用于一组葡萄牙水库。我们将模型应用于两种不同校准设置的23个葡萄牙水库。这项研究工作提出了模型参数估计的结果。

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