中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2022, Vol. 41 ›› Issue (04): 120-125.DOI: 10.3969/j.issn.1674-0696.2022.04.18

• Transportation Infrastructure Engineering • Previous Articles     Next Articles

Application of Multi-source Remote Sensing Technology in Geological Route Selection of Expressway in Complex Mountain Area

LI Shengfu, XIANG Bo, SUN Xiaopeng, XU Hongbiao, WANG Zhiheng   

  1. (Sichuan Highway Planning, Survey, Design and Research Institute Ltd., Chengdu 610041, Sichuan, China)
  • Received:2020-06-15 Revised:2021-02-25 Published:2022-04-13

多源遥感技术在复杂山区高速公路地质选线中的应用

李升甫,向波,孙晓鹏,徐鸿彪,汪致恒   

  1. (四川省公路规划勘察设计研究院有限公司,四川 成都 610041)
  • 作者简介:李升甫(1980—),男,湖北黄冈人,正高级工程师,主要从事公路测绘地理信息应用方面的研究。E-mail:19884303@qq.com 通信作者:孙晓鹏(1986—),男,甘肃白银人,工程师,主要从事遥感技术与应用方面的研究。E-mail:sunxp05@foxmail.com
  • 基金资助:
    四川交通科技项目(2016B2-2);交通运输部建设科技项目(2009318 221097);四川省公路规划勘察设计研究院有限公司自立科研项目(KYXM2021000054)

Abstract: As expressways extend into complex mountainous areas, rapid and effective identification and analysis of geological hazards are needed to avoid large harmful geologic body that affects highway safety. Limited to complex terrain and geological conditions, traditional surveying and surveying methods were difficult to achieve this goal. The multi-source remote sensing technology was used to identify and analyze the large deformation bodies affected by the reconstruction of the Jinsha River bank along the Xinchanggou along the G4216 Yangjiang Expressway. Firstly, based on the high-precision DEM data obtained by LiDAR, supplemented by high-resolution remote sensing images, the boundary and surface crack characteristics of the deformed body were obtained. Then, InSAR technology was combined with the water level data of the hydropower station to obtain the deformation development law of the deformed body. Through the application analysis of multi-source remote sensing technology, it is concluded that the deformable body is large in scale, which has a wide range of influence and is continuously deformed currently. And a safe distance for highway to avoid is also proposed.

Key words: highway engineering; InSAR; LiDAR; geohazard

摘要: 随着高速公路向复杂山区延伸,需要对地质灾害进行快速有效的判识和分析,以绕避影响公路安全的大型不良地质体。限于复杂的地形、地质条件,传统的调绘、勘察方法难以实现该目的。针对G4216沿江高速公路新场沟受金沙江库岸再造影响的大型变形体,综合采用多源遥感技术进行判识、分析。首先,基于LiDAR获取的高精度DEM数据,辅以高分辨率遥感影像,得到了变形体的边界及表面裂缝特征;应用InSAR技术,结合水电站蓄水水位数据,获取了变形体的形变发展规律。通过多源遥感技术应用分析,得出了该变形体规模大,影响范围广,目前持续变形的结论,并提出了高速公路绕避的安全距离。

关键词: 道路工程; InSAR;LiDAR;地质灾害

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