| 基于无人机倾斜摄影技术的崩塌隐患早期识别及影响区划分方法 |
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| 引用本文： | 吕权儒,曾斌,孟小军,陈刚,闫家康.基于无人机倾斜摄影技术的崩塌隐患早期识别及影响区划分方法[J].地质科技通报,2021,40(6):313. |
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| 作者姓名： | 吕权儒 曾斌 孟小军 陈刚 闫家康 |
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| 基金项目： | 江苏省地质勘查专项基金项目苏财建[2018]96号江苏省地质勘查专项基金项目苏财资环[2019]14号 |
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| 摘 要： | 高位危岩崩塌极具隐蔽性、突发性和灾难性，传统的接触式调查方法在安全性方面无法完全保障并且也难以彻底查清边坡上各危岩块体的空间分布及发育特征，因此如何安全快速准确地获取边坡面上关键地质信息，一直是崩塌地质灾害调查及评价研究中的难点之一，也是防灾减灾工作中极为重要的环节。以连云港市某矿区高陡岩质边坡为例，提出了一套基于无人机倾斜摄影技术的崩塌隐患早期识别及影响区划分方法体系，该方法体系通过倾斜摄影技术获取研究区高分辨率影像及构建三维高精度地质模型，在此基础上利用测线法提取并统计边坡优势结构面空间展布特征及相关参数，利用赤平投影法对矿区高边坡关键危岩块体失稳模式进行判别，在完成关键危岩块体稳定性评价并划分稳定等级的前提下使用Rocfall模拟最不利工况下崩落体失稳后的滚落运动特征，从而划分出不同级别的崩塌影响区，为最终的地质灾害防治提供依据。研究表明，无人机倾斜摄影技术在崩塌隐患早期识别、破坏模式分析、稳定性评价以及崩落体威胁范围划定等方面具有显著的可行性和优越性。所提出的基于无人机倾斜摄影技术的崩塌隐患早期识别及影响区划分方法体系具有重要的参考价值。
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| 关 键 词： | 倾斜摄影 崩塌 三维建模 赤平投影 Rocfall 影响区划分 |
| 收稿时间： | 2020-12-20 |
Early identification and influence range division method of collapse hazards based on UAV oblique photography technology |
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| Abstract: | High-level rock collapse is concealed, sudden and catastrophic. Traditional contact survey methods cannot fully guarantee the safety and also difficult to thoroughly identify the spatial distribution and development characteristics of the dangerous rock blocks on the slope. Therefore, how to obtain the key geological information on the slope surface safely, quickly and accurately has always been one of the difficulties in the investigation and evaluation of collapse disasters, and it is also an extremely important link in the disaster prevention and reduction work. Taking a high-steep rock slope in mining area in Lianyungang City as an example, the paper presents a method for early identification and influence range division of collapse hazard based on UAV oblique photography technology. The method obtains high-resolution image in the research area and constructs a high-precision geological model by oblique photography technology, uses line measurement method to extract and statistics the spatial spreading characteristics and related parameters of the dominant structure surfaces in the slope, determines instability mode of critical dangerous rock blocks in the slope by stereographic projection method, uses Rocfall to simulate the rolling motion characteristics of the collapse blocks under the worst condition after completing the stability evaluation and classification of the dangerous rock blocks, and finally the influence range of different levels was divided for disaster prevention and control. The research results show that the UAV oblique photography technology has significant feasibility and superiority in early identification, failure mode analysis, stability assessment and influence range delineation of collapse hazard. The method of early identification and influence range division of collapse hazards based on UAV oblique photography technology has important reference value. |
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