摘要
The aim of this study was to examine the relationship between the anisotropy direction of exposed gravel bed and flow direction. Previous studies have shown that the anisotropy direction of a gravel bed surface can be visually determined in the elliptical contours of 2-D variogram surface (2DVS). In this letter, airborne laser scanning (ALS) point clouds were acquired at a gravel bed, and the whole data set was divided into a series of 6 m × 6 m subsets. To estimate the direction of anisotropy, we proposed an ellipse-fitting-based automatic procedure with consideration given to the grain size characteristic d50 to estimate the primary axis of anisotropy [hereafter referred to as the primary continuity direction (PCD)] in the 2DVS. The ALS-derived PCDs were compared to the flow directions (for both high and low flow) derived from hydrodynamic model simulation. Comparison of ALS-derived PCDs and simulated flow directions suggested that ALS-derived PCDs could be used to infer flow direction at different flow rates. Furthermore, we found that the ALS-derived PCDs estimated from any elliptical contour of the 2DVS exhibited a similar orientation when the contours of the 2DVS reveal the clear anisotropic structure, demonstrating the robustness of the technique.
| 原文 | English |
|---|---|
| 文章編號 | 7476843 |
| 頁(從 - 到) | 1044-1048 |
| 頁數 | 5 |
| 期刊 | IEEE Geoscience and Remote Sensing Letters |
| 卷 | 13 |
| 發行號 | 8 |
| DOIs | |
| 出版狀態 | Published - 2016 8月 |
All Science Journal Classification (ASJC) codes
- 岩土工程與工程地質
- 電氣與電子工程
指紋
深入研究「Anisotropy Characteristics of Exposed Gravel Beds Revealed in High-Point-Density Airborne Laser Scanning Data」主題。共同形成了獨特的指紋。引用此
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