基于"天-空-地-深"方法的山区城镇地质灾害隐患判识:以四川省喜德县重点乡镇为例
Identification of potential geohazards in mountainous towns based on"Space-Air-Ground-Underground"approach:A case study of key towns in Xide County,Sichuan Province
熊小辉 1白永健 2铁永波 2高延超 2徐伟 2龚凌枫 2王家柱 2田凯 2李鹏岳2
作者信息
- 1. 中国地质调查局成都地质调查中心(西南地质科技创新中心),四川 成都 610218;自然资源部地质灾害风险防控工程技术创新中心,四川 成都 611734;自然资源部成都地质灾害野外科学观测研究站,四川 成都 610000;自然资源部沉积盆地与油气资源重点实验室,四川 成都 610218
- 2. 中国地质调查局成都地质调查中心(西南地质科技创新中心),四川 成都 610218;自然资源部地质灾害风险防控工程技术创新中心,四川 成都 611734;自然资源部成都地质灾害野外科学观测研究站,四川 成都 610000
- 折叠
摘要
为了更好地适应山区城镇地质灾害隐患精细识别的需求,实现中、小型以及高隐蔽性地灾隐患的有效判识,本次以川西南喜德县重点乡镇为例,综合采用了光学遥感、InSAR、无人机载LiDAR、地面精细调查、高密度电法等方法,从不同精度和角度对研究区系统开展了地质灾害隐患判识.结果表明,不同手段具有很好的互补性,综合识别效果较好,共识别地灾隐患 80处,包括新增识别 29处,此外,识别潜在危险源 131处;孕灾条件差异制约着不同识别方法的有效性,其中光学遥感在研究区西北部构造变形强烈、坚硬岩组分布区具有更好的识别效果,无人机摄影测量配合地面斜坡详查及物探探查等手段更适合东部米市宽缓向斜红层分布区的地灾识别,机载LiDAR高清三维摄影对重点城镇后山斜坡普遍发育的"簸箕形"平面形态滑坡和"栎叶状"流域平面形态泥石流识别效果较好;易崩易滑工程地质岩组与顺向型斜坡结构的优势组合是研究区地灾孕育的关键,而深部物探对控灾结构面探查是地质灾害隐患判识的重要佐证.
Abstract
In order to better meet the needs of geohazard identification in mountainous towns and effectively detect small-sized,medium-sized,and hidden geohazards,a case study was conducted in several typical towns in Xide County,southwest Sichuan.The study employed a comprehensive suite of techniques,including optical remote sensing,InSAR,LiDAR,detailed slope investigation,and high-density resistivity methods,to identify geohazards from various perspectives and levels of precision.The results show that these methods complement each other well and are effective in geohazard identification.A total of 80 occurrences of geohazards were identified,including 29 new identifications,along with 131 potential geohazard dangers.The differences in disaster-inducing factors in the study area constrain the effectiveness of different methods.Optical remote sensing proved more effective in areas characterized by strong structural deformation and hard rock formations.In contrast,unmanned aerial vehicle(UAV)photogrammetry,combined with detailed ground surveys and geophysical exploration,was more suitable for identifying geohazards in the red layer distribution areas of the Mishi wide gentle syncline.Airborne LiDAR high-definition 3D photography was particularly effective for identifying"dustpan-shaped"landslides and"oak leaf-shaped"debris flows,which are common on the slopes of key towns.The combination of easily collapsible and slidable engineering geological rock groups and dip-slope structures is the key to the formation of geohazards in the study area.Geophysical exploration targeting disaster-controlling structures is an important support for geohazard identification.
关键词
遥感解译/地面调查/地球物理探测/地质灾害隐患识别/山区城镇Key words
remote sensing interpretation/ground survey/geophysical exploration/geohazard identification/mountainous towns引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据