|
|
|
| Technology and method research on the early detection of high-level collapse based on the nap-of-the-object photography |
| LIANG Jingtao1, TIE Yongbo2, ZHAO Cong1, ZHANG Su1 |
1. Sichuan Geological Survey Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Chengdu 610081, China;
2. Chengdu Center of China Geological Survey, Chengdu 610081, China |
|
|
|
|
Abstract The high-level collapse has the characteristics of high altitude difference and strong sudden occurrence, so it is difficult to forecast accurately. It is of great significance to carry out the early detection of high-level collapse for disaster prevention and mitigation. It is difficult and inefficient to carry out field investigation by manual work and it is easy to form investigation blind areas. It is difficult to effectively obtain the key parameters such as the occurrence of rock structural plane, joint combination characteristics and fracture geometry characteristics by common investigation techniques. Therefore, the authors applied the nap-of-the-object photography technology with the advantage of high resolution and mutilangle to the early detection of high-level collapse. Taking Guoda-shan high-level collapse in Kangding County as an example, the authors summarized the detailed application process of this technology, which can provide some reference for the geological disaster investigation and early recognition of high-level collapse. The research results show that the nap-of-the-object photography can be used to identify sub-centimeter scale fractures in the rock mass, especially suitable for the high-level collapse investigation and early identification. And on the basis of high-precision 3D model and space analytic geometry theory, the occurrence of rock structural plane can be calculated by three-point method.
|
|
Received: 16 July 2020
|
|
|
|
|
|
[1] 许强,陈伟.单体危岩崩塌灾害风险评价方法——以四川省丹巴县危岩崩塌体为例[J].地质通报,2009,28(8):1039-1046.
[2] 王帅永,唐川,何敬,等.无人机在强震区地质灾害精细调查中的应用研究[J].工程地质学报,2016,24(4):713-719.
[3] Sturzenegger M,Stead D.Close-range terrestrial digital photogrammetry and terrestrial laser scanning for discontinuity characterization on rock cuts[J].Eng Geol,2009,106(3/4):163-182.
[4] 徐岗,裴向军,袁进科,等.基于无人机摄影技术的高陡危岩体调查分析[J].公路,2019,64(5):175-180.
[5] 王学良,刘海洋,王瑞琪,等.山区输变电工程崩塌(滚石)灾害识别与预测方法[J].工程地质学报,2018,26(1):172-178.
[6] 孙娟娟,王学良,陈子干,等.高陡边坡危石的岩体结构特征识别及滚石运动特征预测[J].工程地质学报,2017,25(增刊1):407-414.
[7] 王明,李丽慧,廖小辉,等.基于无人机航摄的高陡/直立边坡快速地形测量及三维数值建模方法[J].工程地质学报,2019,27(5):1000-1009.
[8] 黄润秋,王运生,董秀军.2009年8·6四川汉源猴子岩崩滑的现场应急调查及危岩处理[J].工程地质学报,2009,17(4):445-448.
[9] 王凤艳,陈剑平,庞贺民.应用数字近景摄影测量提取岩体裂隙迹长信息方法研究[J].世界地质,2006,25(1):39-42.
[10] 贾曙光,金爱兵,赵怡晴.无人机摄影测量在高陡边坡地质调查中的应用[J].岩土力学,2018,39(3):1130-1136.
[11] 王栋,邹杨,张广泽,等.无人机技术在超高位危岩勘查中的应用[J].成都理工大学学报:自然科学版,2018,45(6):754-759.
[12] 刘海洋,王学良,李丽慧,等.无人机航空摄影测量技术在崩塌灾害调查中的应用[J].工程地质学报,2017,25(增刊):82-87.
[13] 陈宙翔,叶咸,张文波,等.基于无人机倾斜摄影的强震区公路高位危岩崩塌形成机制及稳定性评价[J].地震工程学报,2019,41(1):257-267,270.
[14] 荆翔. 基于三维地形可视化技术的危岩体调查评价方法研究[D].成都:成都理工大学,2018.
[15] 陶鹏杰,何佳男,席可,等.基于旋翼无人机的贴近摄影测量方法:CN110006407A[P].2019-07-12.
[16] 徐伟,张云,梅朱寅.郭达山后山危岩带特征分析及危险性评价[J].山地学报,2016,34(6):741-748. |
| [1] |
YANG Xiuyuan, FU Jie, HAN Xudong, ZHANG Chao, PAN Shuhua, LI Gang, GUO Yingping, PAN Jianyong. Progress of geological hazards survey in the urban area from Wanzhou to Wushan in the Three Gorges Reservoir[J]. , 2021, 8(1): 97-107. |
| [2] |
TIE Yongbo, XU Yong, ZHANG Yong, WEI Yunjie, YANG Xiuyuan, ZHANG Taili, TAN Jianmin. Main progresses and achievements of geological hazards survey in hilly area of southern China[J]. , 2020, 7(2): 1-12. |
|
|
|
|
2020, Vol. 7 
