![]() ![]() The scattering of dust deposited on the ground surface is a major problem not only for environmental conservation, but also for human health such as respiratory diseases, and for air pollution by anthropogenic dust in urban areas 1, 2, 3. It is important for understanding the mixing and the interaction between the geology and the surface atmosphere. The simulation results of dust flow coincide well with the experimental results.ĭust flows are active near the ground surface, where wind flow is complex. As a result, different speed distribution profiles can be used to determine dust type. The LCDL technique can reveal dust’s speed distribution, which is affected by mass and particle size. LCDL experiment results show a good agreement with anemometer measurement in wind speeds ranging from 0 to 5 m/s. We demonstrate the performance of LCDL in laboratory experiments using flour and calcium carbonate particles released into the wind tunnel. ![]() In this study, we propose a low-coherence Doppler lidar (LCDL) for measuring dust flow near the ground with high temporal and spatial resolutions of 5 ms and 1 m, respectively. Dust flows near the ground surface are difficult to monitor because of their small temporal and spatial scale. Knowing the temporal dust flow is beneficial in dealing with air pollution and health issues. Visualization of dust flow and wind dynamics near the ground surface are essential for understanding the mixing and interaction between geosphere and atmosphere near the surface. ![]()
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