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首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >Time-averaged near-bed suspended sediment concentrations under waves and currents: Comparison of measured and model estimates
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Time-averaged near-bed suspended sediment concentrations under waves and currents: Comparison of measured and model estimates

机译:波浪和水流作用下时间平均的近床悬浮沉积物浓度:实测值和模型估算值的比较

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Profiles of suspended sediment concentration and velocity were measured over a 15-day period at a near-shore site off Santa Cruz, CA in Monterey Bay. The concentration and velocity data were collected with an Acoustic Backscattering System (ABS) and Acoustic Current Profiler (ACP) that were mounted on a bottom tripod. High-resolution bottom scanning sonar was also attached to the tripod to provide images of bed features during the experiment. Hourly time-averaged near-bed concentrations of suspended sediment were calculated from three models and compared with the measurements. Surface waves and currents that were generated by a storm of moderate intensity caused bed stresses that exceeded threshold stress for D-50 = 0.02 cm, the median size of the moderately well-sorted bottom sediment, over a period of about 7 days. Estimates of the concentration at 1 cm above the bottom, C-a1, were obtained using the ABS measurements. These observations have been compared with predictions for the concentration at 1 cm above the bottom, C-1. Nielsen's models for reference concentration C-o [Nielsen, P., 1986. Suspended sediment concentrations under waves. Coastal Engineering 10, 32-31; Nielsen, P., 1992. Coastal Bottom Boundary Layers and Sediment Transport, Advanced Series on Ocean Engineering. World Scientific, Hackensack, NJ.] are purely wave-based and do not include effects of bottom currents on bed stress and bedform scales. C-1 calculated from this model compared well with measured C-a1, when currents were weak and small oscillatory ripples were observed in the sonar images. However, during the 3-day period of highest bottom stresses modeled C-1 did not compare well to C-a1. The other two models for C-1, Glenn and Grant [Glenn, S.M., Grant, W.D., 1987. A suspended sediment stratification correction for combined wave and current flows. Journal of Geophysical Research 92(C8), 8244-8264.] and van Rijn and Walstra [Van Rijn, L.C., Walstra, D.J.R., 2004. Description of TRANSPOR2004 and implementation in Delft3D-ONLINE. Interim Report prepared for DG Rijkswaterstaat, Rijksinstituut voor Kust en Zee. Delft Hydraulics Institute, The Netherlands.], accounted for combined wave-current stresses and included different formulations for predicting bedform scales. C-1 calculated from these models compared well with measurements throughout the early and middle period of the storm, but underpredicted measured values during the latter part of the experiment. An alternative method based on dimensional analysis provided a straightforward way to relate C-1 to bed stress and sediment parameters. This new relationship based on dimensional analysis explained about 77% of the variability in C-a1 derived from the ABS data. (c) 2007 Elsevier Ltd. All rights reserved.
机译:在15天期间内,在加利福尼亚州蒙特雷湾圣塔克鲁兹附近的近岸站点上测量了悬浮沉积物浓度和速度的分布。使用安装在底部三脚架上的声学反向散射系统(ABS)和声学电流剖面仪(ACP)收集浓度和速度数据。高分辨率底部扫描声纳也连接到三脚架上,以提供实验过程中床特征的图像。从三个模型中计算出每小时平均近床层悬浮沉积物浓度,并将其与测量值进行比较。由中等强度的风暴产生的表面波和水流在约7天的时间内引起的床应力超过D-50 = 0.02 cm(阈值)的阈值应力,D-50 = 0.02 cm。使用ABS测量得出在底部C-a1上方1 cm处的浓度估计值。这些观察结果与底部C-1上方1 cm处的浓度预测值进行了比较。 Nielsen参考浓度C-o模型[Nielsen,P.,1986。波浪下的悬浮泥沙浓度。海岸工程10,32-31; Nielsen,P.,1992年。《海岸工程学》,《海洋工程高级丛书》。 [新泽西州哈肯萨克,世界科学]完全基于波浪,不包括底流对床应力和床形尺度的影响。当电流微弱并且在声纳图像中观察到小的振荡波纹时,从该模型计算出的C-1与测得的C-a1可以很好地比较。但是,在3天的最高底部应力期间,建模的C-1与C-a1的比较不佳。 C-1的其他两个模型分别是Glenn和Grant [Glenn,S.M.,Grant,W.D.,1987年。对波浪和水流的联合进行悬浮泥沙分层校正。地球物理研究杂志92(C8),8244-8264。]以及van Rijn和Walstra [Van Rijn,L.C.,Walstra,D.J.R.,2004。TRANSPOR2004的说明及其在Delft3D-ONLINE中的实现。为驻科特·泽伊·国立人民国防军总司令准备的中期报告。荷兰的代尔夫特水力学研究所(Delft Hydraulics Institute,Netherlands。)解释了组合的波流应力,并包括了用于预测床架规模的不同公式。从这些模型计算出的C-1与风暴早期和中期的测量结果很好地比较,但是在实验的后期却低估了测量值。一种基于尺寸分析的替代方法提供了一种将C-1与床层应力和沉积物参数关联的直接方法。这种基于尺寸分析的新关系解释了从ABS数据得出的C-a1变异的77%。 (c)2007 Elsevier Ltd.保留所有权利。

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