Time-shifting electric-mode detecting method for tracing expansive soil dam landslide permeation sliding process

Abstract

The invention provides a time-shifting electric-mode detecting method for tracing an expansive soil dam landslide permeation sliding process. The method comprises the following steps: collecting electrical resistivity data of a dam in a stable river level during a drought period through a dam electrical resistivity chromatography imaging observing system; performing independent inversion on the electrical resistivity data, acquiring a fracture surface electrical resistivity initial value and a corresponding electrical resistivity change range, and according to the fracture surface electrical resistivity initial value and the electrical resistivity change range, creating a static model; performing the inversion on the electrical resistivity data of each time point by using the static model,and according to an inversion result, distributing a lagrangian multiplier for each space-time section; based on the lagrangian multiplier, performing the inversion on the electrical resistivity dataof each time point by using a mixed regularization inversion calculating method constrained on the basis of time domain regularization and self-adaptive regularization, to obtain an inversion calculating result. The method is capable of effectively filtering noise in the electrical resistivity data irrelevant to time, thereby applying a concept of time lapse, and keeping continuous in an inversion process.

Description

technical field [0001] Embodiments of the present invention relate to the field of dyke detection, and more specifically, relate to a time-shifted electrical detection method for tracking seepage and sliding process of expansive soil dyke landslides. Background technique [0002] The sliding process of landslides is often accompanied by the movement of water in the landslide body. In the process of water movement, the electrical sensitivity of the soil is obvious. Usually, the time-lapse resistivity method is used to obtain the electrical data of the dam soil over time, and then the time-lapse data is inverted and imaged to track the sliding process. Since the time-lapse inversion object is a series of continuous data set sequences at different time points, the amount of data is large, and the degree of illness in the inversion process will increase in series with the increase of time points, so the inversion process needs to be more complicated. Strict constraint handling....

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Problems solved by technology

However, the above method has not really been applied to the concept of time lapse, and its data inversion process is essentially discrete and discontinuous, with a low degree of time correlation, so it cannot be applied to the imaging analysis of tracking detection data of embankment landslides

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