发布时间：2026-05-05

文章标题：【学术成果】一篇通讯作者文章在国际学术期刊 Geophysical Research Letters 上发表

内容：

我们设计并建立了高分辨率实地同步测量系统，通过自主研发的图像处理算法，揭示了大气湍流与地表沙粒间的复杂耦合规律，为完善壁湍流条件下的风沙通量预测模型提供了新的理论依据，从而助力沙漠光伏电站等人类工程设施的合理规划与布局。

 

Cited as: Yan, M., Lin, Y., Zhang, Y., & Baas, A. C. W. (2026). Multiscale coupling of boundary layer flow turbulence and sand streamer dynamics. Geophysical Research Letters, 53, e2025GL121555. 

      https://doi.org/10.1029/2025GL121555

 

Abstract: Wind‐driven sand transport at the Earth's surface exhibits pronounced spatiotemporal variability, forming elongated sand streamers that critically control sand flux. Despite their importance, the detailed fundamental mechanismsgoverning streamer formation remain elusive. This study presents results from a novel image‐processing algorithm analyzing high‐resolution video imagery combined with 3D wind measurement in turbulent boundary layer flow over a sandy beach. Streamers are shown to align with high‐momentum pathways modulated by large‐scale turbulence structures, and sand flux inside streamers scales with flow forcing. Streamer width remains invariant and decoupled from flow forcing, whereas streamer spacing increases with wind speed. These results support a top‐down modulation mechanism where the invariant streamer width is likely governed by the height of the turbulent footprint, whereas the increased spacing may relate to spanwise dilation of vortex scales or a near‐surface momentum feedback mediated by the saltating sand.

 

FIGURE：Field collection and image recognition of sand snakes. Interpretation of the wall turbulence energy spectrum of the formation and evolutionary characteristics of sand snakes.