Classification of River Habitat Using Large-Scale Particle Image Velocimetry with Unmanned Aerial Vehicle

• Main Authors: Ting-Yu Ko, 柯亭羽
• Other Authors: Hsun-Chuan Chan
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/71751485114425458182

碩士 === 國立中興大學 === 水土保持學系所 === 105 === Generally, physical habitat, i.e. flow velocity, flow depth, dimension of sandbar, was surveyed by using handhold equipment. The survey processes were time and cost consuming. This study attempted to apply an unmanned aerial vehicle (UAV) with a camera to record the images of a river. The images were used to measure the sizes of coarse particles and the dimensions of sandbars. Moreover, the surface velocities of river were obtained by large-scale particle image velocimetry (LSPIV) from the images. The information can be used to classify the river habitat. It is expected to simplify the complex process of traditional habitat survey. A field experiment was performed to quantify the habitat survey. The sizes of coarse particles and dimensions of sandbars were measured by a tape measure and images analysis from the UAV. Two tracing particles including the natural and artificial particles were used in the LSPIV analysis. The flow velocities measured by LSPIV were compared with the velocities measured by the handhold Acoustic Doppler Velocimeter (ADV). The results showed the error of particle sizes was about 5.4%. The deviation of velocities measured by LSPIV with artificial particles and ADV was about 0.08m/s, and the deviation of velocities measured by LSPIV with natural particles and handhold ADV was about 0.06m/s. The results of the field experiment showed the LSPIV analysis provided similar flow information with the ADV. The UAV classified the river habitat in a large field. It provided a more efficient and accurate method to obtain river habitat information than using the conventional equipment.