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Fine Sediment Dynamics in Dredge Plumes.

机译:疏edge羽流中的精细泥沙动力学。

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摘要

The research presented in this study is motivated by the need to improve predictions of transport and fate of cohesive sediments suspended during dredging operations. Two techniques are presented to quantify vertical sediment flux within dredge plumes. A mass-balance approach using an Acoustic Doppler Current Profiler (ADCP) is described and demonstrated to accurately estimate vertical mass flux and settling velocity for a suspension of fine sand from a dredged material placement operation.;A new digital video settling column for simultaneous measurement of particle size and settling velocity is described and evaluated. The Particle Imaging Camera System (PICS) is a single-chambered, digital video settling column, which permits rapid acquisition (within 2--3 minutes) of image sequences within dredge plumes. Image analysis methods are presented, which provide improved estimates of particle size, settling velocity, and inferred particle density. A combination of Particle Tracking Velocimetry (PTV) and Particle Image Velocimetry (PIV) techniques is described, which permits general automation of image analysis collected from video settling columns. In the fixed image plane, large particle velocities are determined by PTV and small particle velocities are tracked by PIV and treated as surrogates for fluid velocities. The large-particle settling velocity (relative to the suspending fluid) is determined by the vector difference of the large and small particle settling velocities. The combined PTV/PIV image analysis approach is demonstrated for video settling column data collected within a mechanical dredge plume in Boston Harbor. The automated PTV/PIV approach significantly reduces uncertainties in measured settling velocity and inferred floc density.;Size, settling velocities, and density of suspended sediments were measured with PICS within a trailing suction hopper dredge plume in San Francisco Bay. Results indicated that suspended sediments within the plume were predominantly in the clay and fine silt size classes, as aggregates with d>30 microm. Suspended bed aggregates (defined by densities of 1200 to 1800 kg m-3) represented 0.2--0.5 of total suspended mass, and size and settling velocity of this class were time invariant. Flocs (densities1200 kg m-3) represented 0.5 to 0.8 of total suspended mass, and size and settling velocity of flocs was seen to increase with time. The peak diameter of bed aggregates and flocs occurred near 90 microm and 200 microm, respectively, corresponding to peak settling velocities of about 1 mm s-1 in each case. Floc settling velocities increased with particle size d1.1, while bed aggregate settling velocity increased like d1.3.;Numerical modeling approaches to representing settling velocities for hopper dredge plumes are discussed in light of the experimental findings. Size-dependant settling velocities were well-described by a fractal-based relationship when the suspension was treated with discrete classes for each of the aggregate states. Time-dependent increases in floc size and settling velocity confirm that flocculation is a first-order process which should be included in numerical plume models. Correlations between settling velocity and suspended sediment concentration were weak and statistically insignificant, implying that commonly applied empirical relationships are inappropriate for dredge plumes.
机译:本研究中提出的研究是出于对疏improve作业期间悬浮的粘性沉积物的运移和结局的预测的需要而推动的。提出了两种技术来量化挖泥机羽流中的垂直沉积物通量。描述并演示了使用声多普勒电流剖面仪(ADCP)的质量平衡方法,该方法可准确估算疏from物料放置操作中细沙悬浮液的垂直质量通量和沉降速度。描述和评估粒径和沉降速度。粒子成像摄像头系统(PICS)是单腔数字视频沉降柱,可快速(2-3分钟内)采集疏通羽流中的图像序列。提出了图像分析方法,这些方法提供了对粒度,沉降速度和推断的颗粒密度的改进估计。描述了粒子跟踪测速(PTV)和粒子图像测速(PIV)技术的组合,该技术可实现从视频沉降柱收集的图像分析的一般自动化。在固定图像平面中,大颗粒速度由PTV确定,小颗粒速度由PIV跟踪,并作为流体速度的替代物。大颗粒沉降速度(相对于悬浮液)由大颗粒沉降速度和小颗粒沉降速度的矢量差确定。结合PTV / PIV图像分析方法论证了在波士顿港机械挖泥机羽流中收集的视频沉降柱数据。自动化的PTV / PIV方法显着降低了测得的沉降速度和推断的絮凝物密度的不确定性。在旧金山湾的尾部吸料斗疏edge羽流中,使用PICS测量了尺寸,沉降速度和悬浮沉积物的密度。结果表明,羽状颗粒内的悬浮沉积物主要为粘土和细粉粒级,为聚集体,d> 30微米。悬浮床骨料(由1200至1800 kg m-3的密度定义)代表总悬浮质量的0.2--0.5,此类的大小和沉降速度是随时间变化的。絮凝物(密度<1200 kg m-3)占总悬浮质量的0.5至0.8,并且絮凝物的大小和沉降速度随时间增加。床聚集体和絮状物的峰直径分别出现在90微米和200微米附近,分别对应于大约1毫米s-1的峰值沉降速度。絮凝沉降速度随粒径d1.1的增加而增加,而床骨料沉降速度则随d1.3的增加而增加。;根据实验结果讨论了表示料斗疏edge羽流沉降速度的数值模拟方法。当对每个聚集状态用离散类处理悬浮液时,基于分形的关系很好地描述了尺寸依赖性沉降速度。絮凝物大小和沉降速度随时间的增长确定絮凝是一阶过程,应包括在数值羽流模型中。沉降速度与悬浮泥沙浓度之间的相关性较弱,在统计上不显着,这表明常用的经验关系不适用于疏dr羽流。

著录项

  • 作者

    smith, Stanley Jerrell, II.;

  • 作者单位

    The College of William and Mary.;

  • 授予单位 The College of William and Mary.;
  • 学科 Physical Oceanography.;Sedimentary Geology.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 119 p.
  • 总页数 119
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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