Time-resolved particle image velocimetry is implemented with a camera array and several laser sheets; this results in a multi-spatio-temporal scale system that is modular and flexible. The setup is optimized to capture global flow features, while locally resolving in space and time near the Kolmogorov scale. The apparatus relies extensively on machine vision CMOS cameras; they are inexpensive and stream to computer hard drive with virtually continuous time-resolved records (up to one hour for the current system). This leads to statistically converged data and also helps in minimizing down time between experimental runs. Details of the implementation and design of experiment are reported.

The system instruments a vertical buoyant jet discharging in a linearly stratified environment. Refractive index matched aqueous solutions enable precise optical deployment. The density difference is 3% and the fluids have similar dynamic viscosity. The jet Reynolds number is $2.00\times {10}^4$ and is above the mixing transition. Such flows are typically challenging to instrument and few velocity field data are available to date. Velocity statistics are reported as well as first insights gained from the campaign.

时间分辨粒子图像测速是通过一个相机阵列和几个激光片来实现的；这导致了一个模块化和灵活的多时空尺度系统。该设置经过优化以捕获全局流特征，同时在 Kolmogorov 尺度附近在空间和时间上进行局部解析。该设备广泛依赖于机器视觉 CMOS 相机；它们很便宜，并且可以通过几乎连续的时间解析记录（对于当前系统长达一小时）流式传输到计算机硬盘驱动器。这导致统计收敛的数据，也有助于最大限度地减少实验运行之间的停机时间。报告了实验的实施和设计的细节。

该系统检测在线性分层环境中排放的垂直浮力射流。折射率匹配的水溶液可实现精确的光学部署。密度差为 3%，流体具有相似的动态粘度。射流雷诺数为$2.00\times {10}^4$并且在混合过渡之上。这种流动通常对仪器具有挑战性，并且迄今为止很少有速度场数据可用。报告速度统计数据以及从活动中获得的初步见解。