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

机译:基于示踪剂实验的河流中用于水源保护的扩散模型:案例研究。

摘要

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 alarmsystems 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 produceoperational 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 hydrodynamicscenarios, validating this methodology to support the environmental impact assessment of pollutant loads, in order to select the best water sources protection practices.
机译:明智地选择适用于特定流域管理的数学模型可以减轻预测的不确定性。因此,将建立具有更好可靠性的干预时间,并且警报系统可以有效地保护水生生态系统和公众健康。本文的主要目的是基于示踪剂实验数据进行校准和验证,评估河流水系统扩散模型的性能。本工作描述了在监测程序中使用的方法,该方法是使用示踪剂注入(若丹明WT)进行的,以确定河水的原位扩散行为,并采用数学模型来模拟三个地区每个河段的不同水质管理方案研究的河流:蒙德戈河,杜罗河和塔霍河。对该模型进行了校准,以提供可估算概率到达/峰值/衰退时间以及让人联想到物质浓度的操作工具,以定义例如污染物溢出后需要暂停多长时间的取水。实验数据与模拟结果之间的良好相关性使我们得出结论,即所应用的模型具有足够的准确性,可以描述和预测在不同流体动力学情况下的保守污染物传输,验证此方法可支持污染物负荷的环境影响评估,从而选择最佳方法。水资源保护实践。

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