利用高密度电法勘探盐边县格萨拉巨型滑坡堆积体

探讨盐边县格萨拉巨型滑坡堆积体的滑动面的位置和形态并分析滑坡稳定性进而为拟建高速公路路线设计提供有效的建议。采用高密度电法作为初步勘察阶段的滑坡勘探手段，建立不同采集装置的滑坡正演模型进行数值分析，初步了解拟勘探滑坡的视电阻率拟断面图并确定采集装置类型，结合地质调查结果，确定主要的反演参数，并根据反演结果修正正演模型进行对比判别。结果表明研究所用的反演参数效果较好，正演模型修正之后的视电阻率剖面与反演结果相匹配，使反演解译成果能够较好地反应出真实滑动面的位置和形态，且通过钻探得到了验证，计算结果表明该滑坡处于不稳定状态。最终，拟建高速公路的选线设计采纳了研究成果，对该巨型滑坡堆积体采取绕避措施，说明高速公路初步勘察阶段采用高密度电法作为巨型滑坡堆积体滑动面勘察的地球物理勘探手段是经济且高效的。

Exploration of Gesala giant landslide accumulation in Yanbian County by high-density electrical method

The position and shape of sliding surface of the massive landslide accumulation in Gesala, Yanbian County are discussed, and the stability of landslide is analyzed to provide effective suggestions for highway route design. Using high-density electrical method as the means of Landslide Exploration in preliminary exploration stage, establish landslide forward modeling with different acquisition devices for numerical analysis, preliminary understanding of the apparent resistivity pseudo-section of the proposed landslide and determination of the type of acquisition device, determine the main inversion parameters according to the geological survey results, and modify the forward modeling based on the inversion results for comparison and discrimination.The results show that the inversion parameters used in the study have a good effect. The apparent resistivity section after forward model modification matches the inversion results, so that the inversion interpretation results can better reflect the position and shape of the real sliding surface, and have been verified by drilling. The calculation results show that the landslide is in an unstable state.Finally, the research results are adopted in the route selection design of the proposed highway, and avoidance measures are taken for the huge landslide accumulation, which indicates that the geophysical exploration method using high-density electrical method as sliding surface investigation of the huge landslide accumulation in the preliminary investigation stage of the expressway is economic and efficient.