测定天然完整沉积物岩心侵蚀的便携式仪器

J. Grant , T.R. Walker , P.S. Hill , D.G. Lintern
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引用次数: 10

摘要

便携式颗粒侵蚀模拟器(PES)设备,也被称为BEAST(底栖环境评估沉积物工具)(Walker等人,2008年),已被重新设计用于量化天然完整沉积物岩心的侵蚀。BEAST是在旧设计(Tsai和Lick, 1986)的基础上重新配置的,旧设计具有未校准的流动特性,并且仅限于观察再悬浮。除了校准沉积物-水界面的摩擦速度外,我们还采用实时浊度监测(通过测量与悬浮固体浓度成比例减少的百分比透射率)来量化侵蚀阈值并计算侵蚀速率,以及数字成像来记录再悬浮物质的侵蚀序列和粒度响应。BEAST由一个透明的丙烯酸树脂树脂™岩心内衬和一个在活塞运动中垂直振荡的穿孔盘组成。该设备的性能通过(a)将预测的摩擦速度与观察到的摩擦速度作为电机速度的函数进行比较,(b)使用室内热膜风速计测量剪切速度,(c)通过将网格冲程功率与应力耗散相关联来验证风速校准的适用性,以及(d)将测量的铸造砂临界应力与验证模型的预测进行比较。测量结果表明,摩擦速度在离岩心径向距离的50%范围内是均匀的。底部应力对活塞下冲程的最终高度高度敏感,这个变量可以通过改变来控制摩擦速度的范围。柱塞马达转速与预测u *的关系图与通过观测数据的回归拟合是相同的。我们验证了功率输入和热敏电阻散热之间的比例对应于u *和RPM的缩放,与我们使用应力传感器的校准一致。从波弗特海获得的野外岩心中展示了一个侵蚀序列的例子,在该岩心中,通过测量透射率(用于确定浊度)、粒度和侵蚀速率的综合结果,清楚地表明了两个侵蚀阶段。我们的研究证实,BEAST具有第一性原理所期望的可预测流动特性,并且施加剪切应力导致侵蚀的定量方式与水平剪切相似。此外,砂大小颗粒的预测侵蚀阈值与使用该装置测量的值对应在3%-18%之间。这些多种来源的BEAST验证表明,如果以类似的方式应用,它可以提供完整海洋沉积物输运参数的定量现场测量,并进一步有助于模拟底-远洋耦合的预测能力。
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BEAST—A portable device for quantification of erosion in natural intact sediment cores

A portable Particle Erosion Simulator (PES) device, also referred to as the BEAST (Benthic Environmental Assessment Sediment Tool) (Walker et al., 2008) has been re-designed for quantifying erosion in natural intact sediment cores. The BEAST was re-configured from an older design (Tsai and Lick, 1986), which had uncalibrated flow characteristics and was limited to viewing resuspension. In addition to calibrating friction velocity at the sediment–water interface, we employ a combination of real-time turbidity monitoring (via measurement of % transmission which decreases proportionally to suspended solid concentration) to quantify erosion threshold and calculate erosion rate, as well as digital imaging to document sequences of erosion and particle size response of resuspended material. The BEAST consists of a clear acrylic Plexiglas™ core liner with a perforated disc oscillating vertically in a piston motion. Performance of the device was calibrated by (a) comparing predicted to observed friction velocity as a function of motor speed, (b) using a hot film anemometer in the chamber to measure shear velocity, (c) verifying the applicability of anemometric calibration by relating the power of the grid stroke to stress dissipation, and (d) comparing measured critical stress of foundry sand to predictions from a validated model. Measurements indicate the friction velocity is uniform over >50% of the radial distance from the core center. Bottom stress is highly sensitive to the final height of piston down-stroke, a variable that can be altered to control the range of friction velocities. A plot of piston motor RPM vs. predicted u was identical to the regression fit through the observed data. We verified that the proportionality between power input and thermistor heat dissipation corresponds to the scaling of u and RPM, consistent with our calibration using the stress sensor. An example of an erosion sequence is demonstrated from a field core obtained in the Beaufort Sea in which two erosion stages were clearly indicated in the combined results from measurements of % transmission (to determine turbidity), particle size, and erosion rate. Our studies confirm that the BEAST has predictable flow characteristics expected from first principles, and that applied shear stress causes erosion in a way quantitatively similar to horizontal shear. In addition, the predicted erosion threshold of sand-sized particles corresponds to within 3%–18% of measured values made using the device. These multiple sources of BEAST validation demonstrate its practical capability to provide quantitative field measurements of transport parameters from intact marine sediments if applied in a similar manner, and further contribute to predictive capability in modeling of benthic–pelagic coupling.

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