| 利用物探遥感技术探查城市道路塌陷隐患 |
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| 引用本文： | 朱邦彦,张琪,余森林. 利用物探遥感技术探查城市道路塌陷隐患[J]. 城市勘测, 2022, 0(1): 196-199. DOI: 10.3969/j.issn.1672-8262.2022.01.046 |
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| 作者姓名： | 朱邦彦 张琪 余森林 |
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| 作者单位： | 南京市测绘勘察研究院股份有限公司,江苏 南京 210019 |
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| 基金项目： | 江苏省自然科学基金;南京市测绘勘察研究院股份有限公司科研项目 |
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| 摘 要： | 城市道路塌陷隐患排查对城市公共安全具有重要意义.本文利用物探和InSAR遥感技术,以南京市鼓楼区域为实验区,对道路塌陷隐患进行了探查和研究.利用InSAR技术获取2019年～2020年南京市鼓楼区主要道路的形变梯度信息;结合软土层厚度、管道渗漏点和轨道交通分布等信息,利用层次分析法建立道路塌陷评估模型,对实验区道路塌陷...
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| 关 键 词： | 探地雷达 InSAR遥感 形变梯度 易发性评估 道路塌陷探查 |
Using Geophysical Remote Sensing Technology to Detect Hidden Dangers of Urban Road Collapse |
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| Zhu Bangyan,Zhang Qi,Yu Senlin. Using Geophysical Remote Sensing Technology to Detect Hidden Dangers of Urban Road Collapse[J]. Urban Geotechnical Investigation & Surveying, 2022, 0(1): 196-199. DOI: 10.3969/j.issn.1672-8262.2022.01.046 |
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| Authors: | Zhu Bangyan Zhang Qi Yu Senlin |
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| Affiliation: | (Nanjing Research Insititute of Surveying,Mapping and Geotechnical Investigation Co.,Ltd.,Nanjing 210019,China) |
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| Abstract: | The investigation of hidden dangers of urban road collapse is of great significance to urban public safety.This paper uses geophysical prospecting and InSAR remote sensing technology to explore and study the hidden dangers of road subsidence with Gulou area in Nanjing as the experimental area.Firstly,the InSAR technology is used to obtain the deformation gradient information of the main roads in Gulou District,Nanjing from 2019 to 2020.Then,combined with the soft soil layer thickness,pipeline leakage points,and rail transit distribution information,the road collapse evaluation model is established using the analytic hierarchy process.This paper evaluate and analyze the susceptibility of road collapse in the study area.Finally,verification and comprehensive evaluation are carried out by means of ground penetrating radar detection.The results show that the susceptibility of road collapse in the Gulou area of Nanjing has obvious spatial characteristics,showing a trend of high in the southwest and low in the northeast.The high-prone areas are mainly distributed in the experimental area Longyuan west road,Zhanjiang road,Qingliangmen street and Fenghuang west street. |
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| Keywords: | ground penetrating radar InSAR remote sensing deformation gradient susceptibility assessment road collapse detection |
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