俞朝悦, 成玉祥, 吕艳, 等. 2022. 融合区域潜在落石源区识别的峡谷区落石危险性评价[J]. 工程地质学报, 30(5): 1583-1596. doi: 10.13544/j.cnki.jeg.2022-0477.
    引用本文: 俞朝悦, 成玉祥, 吕艳, 等. 2022. 融合区域潜在落石源区识别的峡谷区落石危险性评价[J]. 工程地质学报, 30(5): 1583-1596. doi: 10.13544/j.cnki.jeg.2022-0477.
    Yu Zhaoyue, Cheng Yuxiang, Lü Yan, et al. 2022. Rockfall hazard assessment in canyon areas incorporating regional-scale identification of potential rockfall source areas[J]. Journal of Engineering Geology, 30(5): 1583-1596. doi: 10.13544/j.cnki.jeg.2022-0477.
    Citation: Yu Zhaoyue, Cheng Yuxiang, Lü Yan, et al. 2022. Rockfall hazard assessment in canyon areas incorporating regional-scale identification of potential rockfall source areas[J]. Journal of Engineering Geology, 30(5): 1583-1596. doi: 10.13544/j.cnki.jeg.2022-0477.

    融合区域潜在落石源区识别的峡谷区落石危险性评价

    ROCKFALL HAZARD ASSESSMENT IN CANYON AREAS INCORPORATING REGIONAL-SCALE IDENTIFICATION OF POTENTIAL ROCKFALL SOURCE AREAS

    • 摘要: 山西壶关太行山大峡谷景区为中国最美十大峡谷之一,但景区落石灾害频发,严重威胁景区安全运营。本文基于高精度地形信息与岩土体强度特性,采用坡度角分布方法开展区域尺度潜在落石源区识别,并引入岩体破坏敏感性指标定量描述潜在落石源区失稳概率。然后,利用经验模型Flow-R模拟落石运动扩散过程,获取落石的传播概率与能量分布情况。最后,提出落石危险性双因子评价模型实现落石危险性定量评估。获得主要结论如下:(1)研究区内潜在落石源区面积为25.7 km2(35.7%),主要以条带状分布于峡谷两侧陡壁。其中岩体破坏高敏感性区为3.3 km2。(2)研究区落石高危险区面积达3.22 km2,主要威胁景区内游客集散地与交通线路,尤其在S327荫林线红豆峡入口处落石危险性最高。(3)野外调查验证结果表明了应用坡度角分布方法识别潜在落石源区的高效性与准确性,提出的双因子评价模型可为峡谷区落石危险性评估提供快速解决方案。本文提出的“区域落石源区识别-源区失稳概率分析-落石危险性评估”的一整套技术方案能够为类似的高山峡谷区落石灾害早期识别及风险防控提供技术参考。

       

      Abstract: The Taihang Grand Canyon Scenic Area in Huguan County, Shanxi Province is one of the ten most beautiful canyons in China, but frequent rockfall events seriously threaten the safe operation of the scenic spot. By incorporating high-precision topographic information and geotechnical properties, the slope angle distribution method was used for identification of potential rockfall sources at regional scale. Moreover, the failure sensitivity index of rock masses was introduced to quantitatively describe the instability probability of potential rockfall source areas. Then, the empirical model Flow-R was used to simulate the diffusion range of rockfall movements to obtain the propagation probability and energy distribution of rockfalls. Finally, a two-factor evaluation model was constructed to realize the quantitative evaluation of rockfall hazards in the study area. The main conclusions are as follows: (1)The area of potential rockfall sources in the study area is 25.7 km2(35.7%) and is mainly distributed in strips on the steep walls of the canyon. Among them, the area of high sensitivity to rock mass failure is 3.3 km2. (2)The high-hazard area of rockfalls in the study area is 3.22 km2, which mainly threatens the tourist distribution area and traffic routes in the scenic area, especially the provincial highway S327 near the entrance of Hongdou Gorge. (3)The field survey validation results show that the application of the slope angle distribution method is efficient and accurate in identifying rockfall source areas, and the proposed two-factor evaluation model can provide a rapid solution for rockfall hazard assessment in canyon areas. The complete technical solutions of "regional potential rockfall sources identification-instability probability analysis-rockfall hazard assessment" proposed in this study can provide technical reference for the early identification and risk assessment of rockfall events in similar alpine valley areas.

       

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