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Dispersion modelling in rivers for water sources protection, based on tracer experiments. Case studies

机译：基于示踪实验的水源保护中的河流分散模型。实例探究

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Judicious selection of mathematical models for application in a specific river basin management can mitigate prediction uncertainty. Therefore, intervention times will be established with better reliability and alarm systems could efficiently protect the aquatic ecosystems and the public health. The main purpose of this paper is to evaluate the performance of river water systems dispersion modelling, based on tracer experiments data for calibration and validation. The present work describes the methodology used in the monitoring programs, which were carried out using tracer injection (rhodamine WT) to determine the in situ river water dispersion behaviour and the mathematical models applied to simulate different water quality management scenarios on each reach of the three rivers studied: Mondego, Douro and Tagus rivers. The models were calibrated in order to produce operational tools to estimate the probabilistic arrival/peak/recession times, and reminiscent substance concentrations to define, for example, how long water intake need to be suspended after a pollutant spill. The good correlation between experimental data and simulation results allows us to conclude that the applied models showed enough accuracy to describe and predict conservative pollutant transport under different hydrodynamic scenarios, validating this methodology to support the environmental impact assessment of pollutant loads, in order to select the best water sources protection practices.
机译：在特定河流盆地管理中适用于应用的明智选择数学模型可以减轻预测不确定性。因此，将以更好的可靠性和报警系统建立干预时间，并且警报系统可以有效地保护水生生态系统和公共卫生。本文的主要目的是评估河流水系统分散建模的性能，基于示踪剂实验数据进行校准和验证。本作本作描述了在监测程序中使用的方法，该方法使用示踪剂注射（罗丹明WT）进行，以确定原位河水分散行为和应用于三个三个范围内的不同水质管理情景的数学模型河流学习：Mondego，Douro和Tagus Rivers。校准模型以产生操作工具以估计概率到达/衰退/衰退时间，并使污染物泄漏后需要悬浮的水摄入量多长时间悬浮的物质浓度。实验数据与仿真结果之间的良好相关性使我们得出结论，应用模型在不同的流体动力学情景下描述和预测保守污染物运输的准确性足够，验证了这种方法，以支持污染物负荷的环境影响评估，以便选择最佳水源保护实践。

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