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高校地质学报 ›› 2023, Vol. 29 ›› Issue (6): 902-907.DOI: 10.16108/j.issn1006-7493.2022062

• 工程地质学 • 上一篇    下一篇

基于无人机摄像技术的水电工程库区国土空间快速建模及数值分析

钱庭青1,张 迁2,徐洪钟2,毕 港2*,朱 焕1   

  1. 1. 江苏省地质工程勘察院,南京 211102;
    2. 南京工业大学 交通运输工程学院,南京 211816
  • 出版日期:2023-12-20 发布日期:2023-12-18

Rapid Modeling and the Numerical Analysis of Land Space Ecology of the Hydropower Project Reservoir Area Based on the UAV Photogrammetry Technology

QIAN Tingqing1,ZHANG Qian2,XU Hongzhong2,BI Gang2*,ZHU Huan1   

  1. 1. Geo-engineering Investigation Institute of Jiangsu Province, Nanjing 211102, China;
    2. Nanjing Tech University, School of Transportation Engineering, Nanjing 211816, China
  • Online:2023-12-20 Published:2023-12-18

摘要: 无人机摄像技术能快速便捷地构建水电工程库区国土空间数值高程模型(DEM),但目前对DEM的后续优化应用的相关研究较少。文章依托于某抽水蓄能水电工程,探讨了基于无人机摄像技术在水电工程库区国土空间生态快速建模和数值分析中的应用,在DEM基础上,提取地形等高线图,通过编程构建三维数值分析模型,使用专业数值软件开展了强度及稳定性分析。结果显示:无人机摄像技术建构的三维数字高程模型高度还原现场,方便于科研工作和工程设计的后续数值分析;无人机定期飞行,实现了用低成本获取不同时期水电工程库区国土空间生态的时空状态,进而达到长期动态的健康监测的目标。

关键词: 无人机摄像技术, 快速建模, 数值分析, 国土空间生态

Abstract: A digital elevation model (DEM) of the land space ecology at the hydropower project reservoir area could be quickly obtained by the unmanned aerial vehicle (UAV); However, it is rare to focus on the continuous further optimal application of DEM. This study investigated the application of UAV in the rapid modeling and numerical analysis of the land space ecology with a pumped-storage reservoir project. According to the topographic map generated from the DEM, a three-dimensional  numerical model was built with the professional numerical software to verify the stress state and perform the stability analysis. The results show that the three-dimensional DEM generated by the UAV was able to highly duplicate the field site, which helped the following indoor numerical studies by scientists and engineers. Besides, based on the regular flying by the UAV, the spatiotemporal status of the land space ecology could be efficiently acquired at a low cost, which allows to achieve the goal of the health monitoring of the land space ecology.

Key words: UAV photogrammetry, rapid modeling, numerical analysis, land sp ace ecology

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