王毅, 李升甫, 马洪生, 贾洋, 蒋瑜阳. 山区公路脆弱地质环境灾害多方法早期识别及路线优化[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20230214
引用本文: 王毅, 李升甫, 马洪生, 贾洋, 蒋瑜阳. 山区公路脆弱地质环境灾害多方法早期识别及路线优化[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20230214
WANG Yi, LI Shengfu, MA Hongsheng, JIA Yang, JIANG Yuyang. Multi-method Early Identification and Route Optimization of Vulnerable Geological Environment Hazards on Mountainous Highways[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20230214
Citation: WANG Yi, LI Shengfu, MA Hongsheng, JIA Yang, JIANG Yuyang. Multi-method Early Identification and Route Optimization of Vulnerable Geological Environment Hazards on Mountainous Highways[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20230214

山区公路脆弱地质环境灾害多方法早期识别及路线优化

Multi-method Early Identification and Route Optimization of Vulnerable Geological Environment Hazards on Mountainous Highways

  • 摘要: 山区地质灾害直接关系到高速公路建设及后期运营效果,如何提前发现和识别出重大潜在危险源,并采取相应措施,已成为山区高速公路选线集中关注的焦点与难点。采用多技术相互融合,对G4216线沿江高速公路新场沟段地质灾害进行多层次调查及分析,并给出路线优化建议。在研究过程中,首先应用多时相高精度光学遥感影像对规划线路范围内的地质灾害隐患进行初步解译及分析,随后对影响路线走向的重点区域,采用小基线集合成孔径雷达干涉测量(synthetic aperture radar interferometry,InSAR)开展地表定量探测和分析评价,最后通过机载激光雷达测量技术(light detection and ranging,LiDAR),对地质灾害高风险区进行详细探查。光学遥感共识别出地质灾害隐患40处,其中10处隐患点对高速公路修建具有不同程度的威胁性。InSAR技术共探测出13处具有明显变形的崩滑体隐患点,并发现新场沟左岸有一处巨型变形体,直接威胁规划线路的走向。在此基础上,通过LiDAR技术与实地调查发现此变形体中部多处出现拉裂迹象,上部呈阶梯型错动,变形迹象明显,不宜扰动,应予以绕避。研究结果表明,通过以上多种手段相结合,能够最大限度且快速地探查地质灾害隐患,并给出高速公路路线安全绕避方案,促使高速公路选线技术从粗放化向精细化转变,对高等级公路选线具有较大的借鉴意义和参考价值。

     

    Abstract: Objectives: Geological disasters in mountainous areas are directly related to the construction and operation effect of expressway. How to find and identify major potential hazard sources in advance and take corresponding measures has become the focus and difficulty of highway route selection in mountainous areas. Methods: multilevel investigation and analysis of geological hazards in Xinchanggou section of G4216 Expressway are carried out by using multi-technology, and suggestions for route optimization are given.First, multi-temporal high-precision optical remote sensing images are used to interpret and analyze the hidden geological hazards within the planned route in the research process. Second, small baseline subsets InSAR (SBAS ‐InSAR) were used to quantitatively detect and evaluate the surface deformation in the key areas affecting the route direction. Finally, the airborne light detection and ranging (LiDAR) technology is used to conduct detailed exploration of areas with high risk of geological hazards. Results: Optical remote sensing consensus identified 40 hidden geological hazards, 10 of which have different degrees of threat to the construction of expressways. InSAR technology was used to detect a total of 13 hidden points of sliding body with obvious deformation, among which a giant deformed body was found on the left bank of Xinchanggou, which directly threatened the direction of the planned route. On this basis, it was found that the middle part of the deformed body showed signs of pulling cracks through the LiDAR technology and field investigation, and the upper part of the deformed body showed ladder dislocation, and the deformation signs were obvious, which should be avoided. Conclusions: The results show that the combination of the above means can detect the hidden dangers of geological disasters to the maximum extent at great speed. The safe circumvention scheme of expressway route is given, which promotes the transformation of expressway route selection technology from extensive to refined. It is of great reference significance and value to highway route selection.

     

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