首页> 外文会议>International conference on coastal engineering;ICCE'98 >Sediment Resuspension under Non-Breaking Waves. Predicting Sediment 'Pulses' as a Function of Groupiness
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Sediment Resuspension under Non-Breaking Waves. Predicting Sediment 'Pulses' as a Function of Groupiness

机译:非破碎波作用下的泥沙重悬。预测泥沙“脉动”与群体性的关系

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Near-bottom sediment suspension reacts to non-breaking random wave-induced velocity field showing a pulsating structure (high concentration discrete events) lagged with respect to the actual velocity field. a coefficient of variation, GF_Cfil, has been applied to low pass filtered concentration time series to characterise these pulses. The use of simple parameters based on the actual velocity field such as the shear stress (e.g. using the velocity squared) is not enough to fully explain the sediment response. To take into account the apparent relationship between groups and seiment pulses, several parameters characterising groupiness have been analysed: (i) the groupiness factor, Gf, derived from SIWKEH; (ii) the mean run legnth j1, and mean total run, j2, based on the use of the envelope; and (iii) the spectral correlation coefficient between successive waves, #rho#. The best predictor for the pulsating structure of hte sediment response was found to be GF, with a linear relationship for similar energetic wave states (u*,rms/u*,cr)~2>1), i.e. the larger the GF is, the larger GF_Cfil the will be. When the time lag in the sediment response is analysed, the parameters retaining information about th temporal structure of the groups such as j1 or #rho# are the only able to predict it. Thus, a linear relationship was found between the time lag and the mean run length and #rho#, i.e. the longer the group is, the longer the lag in the sediment response will be.
机译:近底沉积物悬浮物对非破坏性随机波感应速度场起反应,显示出相对于实际速度场滞后的脉动结构(高浓度离散事件)。变异系数GF_Cfil已应用于低通滤波后的浓度时间序列,以表征这些脉冲。仅基于实际速度场的简单参数(例如剪切应力)的使用(例如使用速度平方)不足以完全解释沉积物的响应。为了考虑到群体与沉降脉冲之间的表观关系,分析了表征群体性的几个参数:(i)源自SIWKEH的群体因子Gf; (ii)基于包络线的使用的平均游程长度j1和平均总游程j2; (iii)连续波之间的频谱相关系数rho#。发现对沉积物响应脉动结构的最佳预测因子是GF,对于相似的高能波状态(u *,rms / u *,cr)〜2> 1)具有线性关系,即GF越大,较大的GF_Cfil将是。在分析沉积物响应的时滞时,保留有关组的时间结构信息(例如j1或#rho#)的参数是唯一能够预测它的参数。因此,在时间滞后与平均游程长度和#rho#之间发现线性关系,即,组越长,沉积物响应的滞后就越长。

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