孔嘉旭, 庄建琦, 彭建兵,等. 2021.兰州老狼沟黄土微地貌灾害链时空分布特征与危险性模拟研究[J].工程地质学报, 29(5): 1401-1415. doi: 10.13544/j.cnki.jeg.2021-0435.
    引用本文: 孔嘉旭, 庄建琦, 彭建兵,等. 2021.兰州老狼沟黄土微地貌灾害链时空分布特征与危险性模拟研究[J].工程地质学报, 29(5): 1401-1415. doi: 10.13544/j.cnki.jeg.2021-0435.
    Kong Jiaxu, Zhuang Jianqi, Peng Jianbing, et al. 2021. Spatial and temporal distribution characteristics and risk simulation of loess micro geomorphic disaster chain in Laolang Gully, Lanzhou [J]. Journal of Engineering Geology, 29(5): 1401-1415. doi: 10.13544/j.cnki.jeg.2021-0435.
    Citation: Kong Jiaxu, Zhuang Jianqi, Peng Jianbing, et al. 2021. Spatial and temporal distribution characteristics and risk simulation of loess micro geomorphic disaster chain in Laolang Gully, Lanzhou [J]. Journal of Engineering Geology, 29(5): 1401-1415. doi: 10.13544/j.cnki.jeg.2021-0435.

    兰州老狼沟黄土微地貌灾害链时空分布特征与危险性模拟研究

    SPATIAL AND TEMPORAL DISTRIBUTION CHARACTERISTICS AND RISK SIMULATION OF LOESS MICRO GEOMORPHIC DISASTER CHAIN IN LAOLANG GULLY, LANZHOU

    • 摘要: 黄土洞穴和滑坡是黄土高原独特侵蚀作用下的微地貌景观,反映了地貌快速演化链式过程,具有分布广、发育密度高等特点,严重威胁了我国西北地区人居安全。本研究以老狼沟小流域为研究对象,利用现场调查、GIS空间分析、无人机测绘以及数值模拟等手段开展了黄土微地貌灾害链时空分布特征和危险性模拟研究。结果表明,老狼沟研究区内发育黄土洞穴、滑坡、浅沟的数量分别为134个、38个和81个,黄土洞穴密度约为159个/km2,占研究区总面积的1.88%。黄土洞穴多位于TWI高值的凹地形区域,呈线状展布排列,与浅沟发育密切。研究区2001~2021年五期核密度估计结果显示高密度中心均位于西侧斜坡,面积约为5.91×104 m2,长轴、短轴、面积、高程、周长的空间集聚程度更高。黄土微地貌灾害链演化模式可以总结为原生地貌阶段、早期侵蚀阶段、加速侵蚀阶段、侵蚀贯通阶段、局部破坏阶段。洞穴环境加剧了水分入渗程度,更易引发滑坡发生。模拟结果显示潜在滑坡运动能够对阶地建筑物造成严重破坏,受灾面积约为2.02×104 m2,滑坡运动过程为150 s,平均堆积厚度约为9.2 m,最大运动距离约为651 m。本研究是揭示黄土洞穴发育规律及其灾害链效应的有益探索和尝试,为黄土高原城镇防灾减灾提供参考。

       

      Abstract: Loess caves and landslides are micro-geomorphic landscapes under the unique erosion of the Loess Plateau. They reflect the chain process of rapid geomorphic evolution. They have the characteristics of wide distribution and high development density,and can seriously threaten the safety of human settlements in Northwest China. This paper takes Laolang gully small watershed as the research object,adopts field investigation,GIS spatial analysis,UAV mapping and numerical simulation. This paper carries out the research on the spatial-temporal distribution characteristics and risk of loess micro geomorphic disaster chain. The results show that the numbers of loess caves,landslides and shallow gullies developed in Laolanggou study area are 134,38 and 81 respectively. The density of loess caves is about 159/km2,accounting for 1.88% of the total area of the study area. The loess caves are mostly located in the TWI high concave terrain area,and are arranged in a linear distribution,which is closely related to the development of shallow gullies. The results of five nuclear density estimates from 2001 to 2021 show that the high density centers are located in the west slope,with an area of about 5.91×104 m2. Its spatial agglomeration degree of long axis,short axis,area,elevation and perimeter is the highest. The evolution model of loess micro geomorphic disaster chain can be summarized as primary geomorphic stage,early erosion stage,accelerated erosion stage,erosion breakthrough stage and then local destruction stage. The cave environment aggravates the degree of water infiltration,which is more likely to cause landslides. The simulation results show that the potential landslide movement can cause serious damage to the terrace buildings,and the affected area is about 2.02×104 m2,the landslide movement process is 150 s,the average accumulation thickness is about 9.2 m,and the maximum movement distance is about 651 m. This study is a beneficial exploration and attempt to reveal the development law of loess caves and its disaster chain effect,and provides a reference for urban disaster prevention and reduction in the Loess Plateau.

       

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