Characterization of Turbulence in the Coastal Bottom Boundary Layer Based on a Large Database Obtained From PIV Measurements

基于 PIV 测量获得的大型数据库的海岸底部边界层湍流特征

• 批准号: 0648490
• 负责人: Joseph Katz
• 金额: $ 55.14万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-03-15 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0648490&HistoricalAwards=false
• 关键词: Characterization; Turbulence; Coastal; Bottom; Boundary

OCE-0648490Intellectual Merit: Predictions of ocean dynamics, sediment transport, pollutant dispersal and biological processes in the coastal ocean require proper modeling of turbulence in the bottom boundary layer. Obtaining well-characterized data, which is essential for modeling, is a challenge due to the demanding and enormously variable environmental conditions. This project extends our effort to measure the flow structure and turbulence in the bottom boundary layer of the coastal ocean, and study their dependence on circulation, waves, bottom topography, elevation and stratification. Turbulence measurements are performed using a submersible Particle Image Velocimetry (PIV) system with a 10 m profiling range that can align two sample areas independently in any direction, e.g. with mean current, with waves or inclined to each other to measure 3-D flow features. The PIV data consists of two time series of instantaneous, 2-D velocity distributions. With varying magnifications, the data resolve length scales ranging between 1.2 mm to 1 m, enabling direct calculation of dissipation rate or Reynolds stresses from structure functions. Results from previous deployments show: a) Variations of Reynolds stresses and mean current with wave phase. b) Decrease of Reynolds stresses with elevation in outer portions of the boundary layer, consistent with laboratory data. It is found that stresses scale with mean current. c) Decrease of turbulence production dissipation ratio with increasing elevation, from slightly below one at 30 cm elevation to very low values at 1.5 m. The missing energy most likely originates from high production very near bottom, and is transported up by mean flow, waves and turbulence. d) At moderate Reynolds numbers, but typical to tidal flows, events contributing to Reynolds stresses and production occur intermittently during periods of "gusts", while dissipation changes little with time. Meaningful statistics on intermittent events requires a large database. e) Turbulent energy spectra appear more similar to the universal spectrum with increasing Reynolds number, but still indicate anisotropy at all scales, including dissipation range. f) Repeatable variations of sub-grid scale (SGS) stresses and energy flux with wave phase provide direct evidence that wave-induced straining modifies the energy cascading process of turbulence at all scales. Based on these previous observations, objectives of the present study are: a) To identify, measure and subsequently model specific mechanism dominating turbulence production near the benthic-pelagic interface resulting from interactions of currents and waves with a rough bottom. b) To determine causes and contributors to variations of Reynolds stresses with wave phase, including cyclic changes in production due to wave-induced straining at high elevations, interactions of waves with bottom ripples, orientation of waves relative to mean currents and vertical transport of turbulence by waves. Analysis will examine resulting effects on profiles and scaling of mean flow and Reynolds stresses. c) To measure effect of wave-induced straining on SGS energy fluxes and resulting impact on the energy cascading process and turbulent energy spectra at different scales. A large database required for achieving these objectives will be recorded during two deployments near LEO-15. The PIV data will be acquired concurrently with measurements of mean current, direction and amplitude of waves, bottom roughness, temperature spectra, density profiles and buoyancy flux.Broader impact:Socio-Economic Issues: Proper modeling of oceanic circulation is essential for predictions of climate, weather and human impact on the coastal ocean. Furthermore, transport of pollutants, nutrients and sediment affect the economy, health, tourism, fisheries and food production along the coast. The data and analysis will contribute to improved predictions of oceanic transport, circulation and mixing. Education of future Scientists: Educational outreach effort with the Baltimore City Schools will continue involving senior high-school students from the Baltimore Polytechnic Institute in a yearlong research experience, as part of their required Research Practicum. On-going participation of undergraduates in field trips and data analysis as a means of motivating them to get involved in oceanography will be continued. The project will support two graduate students that will be trained as oceanographers. Their education includes research, and specially geared courses in oceanography, fluid mechanics, instrumentation, biology and mathematics. A joint degree program available at JHU facilitates interaction with faculty having diverse backgrounds.

OCE-0648490智力优点：海洋动力学、沉积物输运、污染物扩散和沿海海洋生物过程的预测需要对底部边界层中的湍流进行适当的建模。由于环境条件要求苛刻且变化巨大，因此获取建模所必需的良好特征数据是一项挑战。本计画延伸我们的努力，以量测沿岸海洋底边界层的流动结构与紊流，并研究它们对环流、波浪、海底地形、高程与层结的依赖性。湍流测量使用潜水式粒子图像测速（PIV）系统进行，该系统具有10米的剖面范围，可以在任何方向上独立对齐两个样品区域，例如，平均电流，波浪或彼此倾斜以测量3-D流动特征。PIV数据由两个时间序列的瞬时，2-D速度分布。在不同的放大倍数下，数据可以分辨1.2 mm到1 m之间的长度尺度，从而可以直接计算结构函数的耗散率或雷诺应力。结果表明：（1）雷诺应力和平均流随波相的变化。B）雷诺应力随边界层外部高度的降低，与实验室数据一致。发现应力与平均电流成比例。c）湍流产生耗散比随海拔升高而降低，从30 cm海拔处略低于1到1.5 m时非常低的值。缺失的能量很可能来自底部附近的高产量，并通过平均流、波浪和湍流向上输送。d）在中等雷诺数下，但对于潮汐流是典型的，在“阵风”期间间歇地发生有助于雷诺应力和生产的事件，而耗散随时间变化很小。对间歇性事件进行有意义的统计需要大型数据库。e）随着雷诺数的增加，湍流能谱看起来更类似于通用谱，但在所有尺度上仍然显示各向异性，包括耗散范围。f）亚网格尺度（SGS）应力和能量通量随波相的可重复变化提供了直接证据，表明波致应变改变了所有尺度上湍流的能量级联过程。（a）查明、测量并随后模拟海底-中上层界面附近海流和波浪与粗糙海底相互作用产生湍流的具体机制。B）确定雷诺应力随波相变化的原因和影响因素，包括由于高海拔处波浪引起的应变、波浪与海底波纹的相互作用、波浪相对于平均流的方向以及波浪引起的湍流垂直输送而引起的生产周期性变化。分析将检查对平均流和雷诺应力的剖面和比例的影响。c）测量波浪引起的应变对SGS能量通量的影响以及由此产生的对不同尺度的能量级联过程和湍流能谱的影响。实现这些目标所需的大型数据库将在LEO-15附近的两次部署期间进行记录。PIV数据将与平均海流、波浪方向和振幅、海底粗糙度、温度谱、密度剖面和浮力通量的测量同时获得。更广泛的影响：社会经济问题：正确的海洋环流模型对于预测气候、天气和人类对沿海海洋的影响至关重要。此外，污染物、营养物和沉积物的迁移影响到沿海沿着的经济、卫生、旅游业、渔业和粮食生产。这些数据和分析将有助于改进对海洋迁移、环流和混合的预测。未来科学家的教育：与巴尔的摩城市学校的教育推广工作将继续涉及来自巴尔的摩理工学院的高中生在为期一年的研究经验，作为他们所需的研究实习的一部分。将继续让本科生参加实地考察和数据分析，以激励他们参与海洋学。该项目将支助两名将接受海洋学家培训的研究生。他们的教育包括海洋学、流体力学、仪器仪表、生物学和数学方面的研究和专门课程。JHU提供的联合学位课程有助于与具有不同背景的教师进行互动。