Replication Data for: Application of a Line Laser Scanner for Bed Form Tracking in a Laboratory Flume

A new measurement method for continuous detection of bed forms in movable bed laboratory experiments is presented and tested. The device consists of a line laser coupled to a 3-D camera, which makes use of triangulation. This allows to measure bed forms during morphodynamic experiments, without removing the water from the flume. A correction is applied for the effect of laser refraction at the air-water interface. We conclude that the absolute measurement error increases with increasing flow velocity, its standard deviation increases with water depth and flow velocity, and the percentage of missing values increases with water depth. Although 71% of the data is lost in a pilot moving bed experiment with sand, still high agreement between flowing water and dry bed measurements is found when a robust LOcally weighted regrESSion (LOESS) procedure is applied. This is promising for bed form tracking applications in laboratory experiments, especially when lightweight sediments like polystyrene are used, which require smaller flow velocities to achieve dynamic similarity to the prototype. This is confirmed in a moving bed experiment with polystyrene. (2018-01-22)<br>Data Type Experimental dataset; Programming code (Matlab)Software Matlab, Version: R2015a, C++

本研究提出并验证了一种适用于动床实验室试验的床面形态连续检测新型测量方法。该装置由耦合至三维相机的线激光器组成，采用三角测量原理，可在无需排干水槽水体的床面形态动力学试验过程中完成床面形态测量。研究针对气水界面处的激光折射效应进行了校正。
研究结果显示：绝对测量误差随流速增大而升高，其标准差随水深与流速的增加而增大，缺失值占比则随水深升高而提升。
尽管在以砂石为床沙的预动床试验中，71%的原始数据发生丢失，但当采用稳健局部加权回归（LOESS，全称Locally Weighted Regression）方法处理后，明流测量与干床测量结果仍可实现高度吻合。该方法对于实验室试验中的床面形态追踪应用具有良好前景，尤其适用于聚苯乙烯（Polystyrene）这类轻质沉积物的试验场景——此类沉积物仅需较小流速即可实现与原型的动力相似。上述结论在聚苯乙烯动床试验中得到了验证。（2018-01-22）
数据集类型：试验数据集；编程代码（Matlab）；软件：Matlab，版本：R2015a、C++