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首页> 外文期刊>International journal of applied mechanics >Hydrodynamic Modeling and Simulation of Water Residence Time in the Estuary of the Lower Amazon River
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Hydrodynamic Modeling and Simulation of Water Residence Time in the Estuary of the Lower Amazon River

机译:亚马逊河河口河口水中空间时间的流体动力学建模与仿真

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Studies about the hydrodynamic behavior in the lower Amazon River remain scarce, despite their relevance and complexity, and the Water Residence Time (Rt) of this Amazonian estuary remains poorly unknown. Therefore, the present study aims to numerically simulate three seasonal Rt scenarios based on a calibrated hydrodynamic numerical model (SisbaHiA) applied to a representative stretch of the lower Amazon River. The following methodological steps were performed: (a) establishing experimental water flow in natural channels; (b) statistically test numerical predictions (tidal range cycles for different hydrologic periods); and (c) simulating velocity fields and water discharge associated with Rt numerical outputs of the hydrodynamic model varied from 14 <= Rt <= 22 days among different seasonal periods. This change has shown the significant influence of hydrologic period and geomorphological features on Rt. Rt, in its turn, has shown significant spatial heterogeneity, depending on location and stretch of the channels. Comparative analyses between simulated and experimental parameters evidenced statistical correlations higher than 0.9. We conclude that the generated Rt scenarios were consistent with other similar studies in the literature. Therefore, they depicted the applicability of the hydrodynamics to the conservation of the Amazonian aquatic ecosystem, as well as its relevance for biochemical and pollutant dispersion studies, which still remain scarce in the literature.
机译:尽管有它们的相关性和复杂性,但亚马逊河口的水停留时间(RT)仍然不明,亚马逊河河中流体动力学行为的研究仍然稀缺。因此,本研究旨在基于校准的流体动力学数值(Sisbahia)来数值模拟三种季节性RT情景,其应用于亚马逊河的代表性延伸。执行以下方法步骤:(a)在天然通道中建立实验水流; (b)统计测试数值预测(不同水文时期的潮汐范围循环); (c)模拟与RT数字输出相关的速度场和水电放电在不同季节性期间的14℃<= = 22天内变化。这种变化表明了水文期和地貌特征对Rt的显着影响。 RT,轮到RT表明了显着的空间异质性,这取决于通道的位置和拉伸。模拟和实验参数之间的比较分析证明了高于0.9的统计相关性。我们得出结论,产生的RT情景与文献中的其他类似研究一致。因此,它们描绘了流体动力学的适用性对亚马逊水生生态系统的保护,以及其对生物化学和污染物分散研究的相关性,在文献中仍然稀缺。

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