SmartWood: Laboratory experiments for assessing the effectiveness of smart sensors for monitoring large wood movement behaviour

摘要: Abstract Large wood (LW), delivered to the river channel in course of commercial forest harvesting, or generated during natural events, can be mobilised floods. The movement along corridor involves complex cycles recruitment, mobilisation, transportation and deposition. These processes are affected by size, buoyancy, roughness complexity components, as well relative spatial density character boundary elements. In order understand probabilistic behaviour woody elements within fluvial system, it is important able characterise timing, mechanisms duration various phases transport. Due a lack suitable sensing technology, detailed understanding LW transport accumulation has thus far been elusive. this study we introduce technique using nine-degrees freedom (9-DoF) sensor embedded ‘SmartWood’ dowel that shows strong potential for measuring recording movement. SmartWood assembly comprises an integrated with inertial measurement unit (IMU), accelerometer, gyroscope magnetometer, installed wooden scaled represent tree stem flume. record many different motions sensor-tagged density-compensated, specific weight 0.5 g·cm−3. A series verification experimental tests was carried out evaluate applicability new technology research presented herewith. Experiments were conducted 6.3 m long 1.5 m wide flume sinuous mobile gravel bed conditions, discharge up 10 l·s−1. We show transport, particularly starting, rolling, yawing stopping processes, but also impacts, quantified environment. findings further developed obtain translational LW, which needed refine models downstream trajectories. Understanding essential informing freshwater forestry management guidelines.