使用高分辨率LiDAR衍生的DEM和多时间图像的道形态变化监测
Tesfa Gebrie Andualem1, Stefan Peters2, Guna A Hewa2
1UniSA-STEM, University of South Australia, Mawson Lakes, SA 5095 Adelaide, Australia; Department of Hydraulic and Water Resources Engineering, Debre Tabor University, 272 Debre Tabor, Ethiopia.
The Science of the total environment
|February 24, 2024
概括
城市发展显著改变了干溪.
科学领域:
- 地质形态学 地质形态学
- 水文学的水文学
- 遥感 遥感 遥感 遥感
背景情况:
- 道的形态变化是由自然过程和人类活动造成的.
- 仅评估平面形状的变化,就会忽略关键的垂直变化,阻碍全面的评估.
- 遥感利用空中图像和地形数据,对于分析道调整和洪水容量至关重要.
研究的目的:
- 为了调查干溪的形态变化在一个城市的流域.
- 开发和应用一种新的框架,用于使用高分辨率遥感数据评估通道整体形态.
- 检查城市扩张和基础设施发展对道调整的影响.
主要方法:
- 采用了非常高分辨率的空中图像和由LiDAR衍生的数字海拔模型 (DEM).
- 使用ArcGIS Pro 3.0进行道边界的数字化和形态参数的分析.
- 量化侵蚀,沉积模式和平面形状变化,以评估通道调整.
主要成果:
- 自1998年以来,道平面形状显著向西南移动,平均为217米 (最大为478米),曲度增加到1.2.
- 下游在2018年至2022年之间达到经验丰富的净沉积量 (3.43.6厘米),年产量为1963 m3.
- 观察到岸边植被的生长,影响了运河的粗度,斜率和承载能力.
结论:
- 城市扩张和基础设施建设推动了干溪的实质性形态变化.
- 定期的淡水和植被管理对于减轻沉积,防止产能损失和减少洪水风险至关重要.
- 开发的框架为使用高分辨率遥感数据进行类似研究提供了可转移的方法.
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