Investigation on the Motion, Diffusion and Deposition of Direct Dumped Soil in Flowing Waters

它是找到的，从理论上看，作为实验研究，它的最大宽度H，平均浮标力B和下降的速度V的两种盐水和颗粒云在平静的水中落下有后续的关系; against falling distance z H = K-D21-D2z， V = K-D22-D1-1 - 2-D1B = K-D23-D2z-D1 initial total buoyancy W-D20-D2H = C-D21-D2，B = CイイD22イイD2WイイD20イイD2， and V = CイD23イイD2WイイD31/2（±）0イエD3。D-21 D-2在盐云中的H、B和V，因为它们的价值是不同的。On the other hand，Ky D21 y D2 in particle cloud clouds are function of particle Reynolds number Rp and their dependence on Rp are different for H， B and V. Similar relationships are also true for Cy D21 y D2。Both saline and particle clouds falling in flowing waters also follows the same relationships against z and W-D20-D2 as the case of quiescent waters although the buoyant clouds advect at the speed of ambient water flow velocity U.但环境中的瓦 ... More ter flow alters the values of K-D21-D2。functional relationships for K-D21-D2 expressed in terms of Rp and U are reduced from extensive experim\study。It is found experim\that major flow？teristics of both saline and particle clouds before and after impingement on the bottom boundary are not dependent on both initial total buoyancy force W-D20-D2 and ambient water depth h。Major flow？teristics of buoyant clouds traveling along bottom boundary在撞击之后，它可能会分裂成两个区域;过渡性区域和类似重力的区域。基于关心的实验工作，我们开发了功能性关系，可以在每个区域明确描述的主要流动特征：用于高浓度密度云的新的数字模拟模型已经开发，用于大规模Eddy模拟（LES）和一个流体模型，与一个新开发的CCS方案进行了耦合，用于advective-differsion equation（良好作为改进的Smagorinsky模型）。模型常数是由比较与下降阶段的实验结果来确定的。使用模型常数，它可以证明所提出的数字模型可以很好地模拟粒子云的运动和粒子的储存剖面图。模型的能力是通过数字模拟在一个寂静的栅栏的存在中被证明的。Less（低）

It is found, from theoretical as well as experimental studies, that the maximun half width H, average buoyancy forceB and falling velocity V of both saline and particle clouds falling in quiescent waters have the following relationships ; against falling distance z H = KィイD21ィエD2z, V = KィイD22ィエD2zィイD1-1/2ィエD1 B = KィイD23ィエD2zィイD1-2ィエD1 initial total buoyancy WィイD20ィエD2 H = CィイD21ィエD2, B = CィイD22ィエD2WィイD20ィエD2, and V = CィイD23ィエD2WィイD31/2(/)0ィエD3. KィイD21ィエD2 for H, B and V in saline clouds become constant although their values are different. On the other hand, KィイD21ィエD2 in particle cloud clouds are function of particle Reynolds number Rp and their dependence on Rp are different for H, B and V. Similar relationships are also true for CィイD21ィエD2. Both saline and particle clouds falling in flowing waters also follows the same relationships against z and WィイD20ィエD2 as the case of quiescent waters although the buoyant clouds advect at the speed of ambient water flow velocity U. But ambient wa … More ter flow alters the values of KィイD21ィエD2. The functional relationships for KィイD21ィエD2 expressed in terms of Rp and U are reduced from extensive experimental study.It is found experimental that major flow characteristics of both saline and particle clouds before and after impingement on the bottom boundary are not dependent on both initial total buoyancy force WィイD20ィエD2 and ambient water depth h.Major flow characteristics of buoyant clouds traveling along bottom boundary after impingement can be distinguished into two regions ; transitional and gravity-current-like regions. Based on careful experimental work, we developed the functional relationships, that are able to adequately describe major flow characteristics of buoyant clouds in each region.A new numerical simulation model for high concentration turbidity clouds is developed, utilizing Large Eddy Simulation (LES) and one-fluid model, coupled with a newly developed CCS scheme for advective-diffusion equation as well as the modified Smagorinsky model for SGS model. Model constants are determined by comparing with experimental results in the falling stage. Using the model constants, it is demonstrated that the proposed numerical model can well simulate both the motion of particle clouds and depositional profile of particles. Capability of the model is demonstrated further through numerical simulations in the presence of a silt fence. Less