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Deriving formulas for an unsteady virtual velocity of bedload tracers

机译:用于返回床单示踪剂的不稳定虚拟速度的公式

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In a flume experiment with steady flow conditions, H. A. Einstein recognised the transport of bedload particles as consisting of steps of rolling, sliding, or saltation with intermittent rest periods, and introduced the concept of an average, virtual' transport velocity. This virtual velocity then has also been derived from tracer studies in the field by dividing the travelled distance of a tracer by the duration of competent flow. As a consequence, the virtual velocity in the field is represented by one single value only, despite the unsteady flow variables. Tracer measurements in a river have not been yet used to express transport velocity as a direct function of these actual variables, and insights from tracer measurements into the processes of sediment transport remain limited. In particular, the unsteady conditions for bedload in the field have impeded the derivation of sediment transport characteristics as determined from laboratory experiments, as well as the transfer of laboratory insights to a field setting. We introduce a method of data regression for the derivation of an unsteady' virtual velocity from repeated surveys of tracer positions. The regression program called graVel (provided as supplementary material) relates the integral of an excess flow variable term to measured travel distances, yielding the most probable threshold value for entrainment and the coefficient of linear and non-linear formulas. An extended regression allows additional fitting of the exponent in non-linear formulas. Application to published tracer data from the Mameyes River, Puerto Rico, shows that the unsteady virtual velocity is more likely governed by non-linear relations to excess Shields stress, similar to bedload transport, than by relations linking the particle velocity linearly to excess shear velocity. Partial agreements with non-dimensional results derived from the larger, non-wadeable Mur River encourage the establishment of a generalised formula for the unsteady vir
机译:在具有稳定流动条件的水槽实验中,H. A.爱因斯坦认识到床单颗粒的运输,包括用间歇休息时间滚动,滑动或盐化的步骤组成,并引入了平均虚拟“传输速度的概念。然后,这种虚拟速度也通过将示踪剂的行驶距离除以主管流动的持续时间来源于该领域的示踪剂研究。结果,尽管不稳定的流量变量,但字段中的虚拟速度仅由一个单个值表示。河流中的示踪仪尚未用于将传输速度表达为这些实际变量的直接功能,并且从跟踪器测量到沉积物传输过程中的洞察力仍然有限。特别地,该领域床单的不稳定条件阻碍了从实验室实验中确定的沉积物传输特性的推导,以及实验室见解对场设定的转移。我们介绍了一种数据回归的方法,用于导出来自示踪位置的重复调查的不稳定的虚拟速度。称为砾石(作为补充材料提供的回归程序涉及过量流动可变术语的积分,以产生最可能的夹带阈值和线性和非线性公式的系数。扩展回归允许在非线性公式中进行额外的指数拟合。应用于从Mameyes River,Puerto Rico公布的示踪数据表明,不稳定的虚拟速度更有可能受到过度屏蔽应力的非线性关系的限制,类似于床单传输,而不是通过线性地连接到过量剪切速度的颗粒速度的关系。与较大的不可行的MUR河流源于较大的非尺寸结果的部分协议鼓励建立不稳定病毒的全面公式

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