Karst ground collapse prediction and forecasting method based on karst water dynamics

Abstract

The invention provides a karst ground collapse prediction and forecasting method based on karst water dynamics, and relates to the technical field of prediction and forecasting, capable of realizing short-time, small-range and high-precision prediction and forecasting in a karst ground collapse dangerous area. The method specifically includes the steps: establishing a water level and water qualitydynamic monitoring grid of karst water; and dynamically monitoring the karst water level, water quantity, turbidity, main chemical components and other indexes in real time, thus being able to combine the karst water movement direction determined by a water level line plane graph, and analyzing the karst ground collapse inoculation process through a water level and water quality joint tracing method, and accurately defining the possible collapse range in time according to the information. The karst ground collapse prediction and forecasting method by the invention is simple and effective, andhas an important practical value for improving the precision and accuracy of karst ground collapse prediction.

Description

technical field [0001] The invention relates to the technical field of prediction and forecasting, in particular to a short-term, high-precision karst ground subsidence prediction method based on karst water dynamics. Background technique [0002] Karst ground subsidence is a ground deformation phenomenon caused by karst action in karst areas. It is a karst geological phenomenon in which the rock and soil above the karst caves are deformed and destroyed under natural or human action, resulting in the formation of subsidence pits on the ground. The disaster is characterized by suddenness, concealment, and strong destructiveness, and it poses a serious threat to the safety of life, property, and infrastructure such as roads. Therefore, accurate prediction and forecast of karst ground subsidence has important economic and social values. [0003] The basic elements of karst ground subsidence are: karst caves are developed in the lower part of the soluble rock, and there are coll...

AI Technical Summary

Problems solved by technology

Most of the above methods are applied in the macro region, but there are still some limitations. For example, the karst collapse prediction in the macro region is highly subjective in the selection of evaluation factors and weight assignment; or the calculation method is too complicated, or it needs to be calculated in advance. Pre-embedded optical cable, low generalization, not suitable for promotion and practical application, etc.

In addition, most of the above-mentioned methods are based on the analysis of geological conditions, and predict the range of areas where karst ground subsidence may occur. This range is usually relatively large, even consistent with the distribution area of ​​soluble rocks, at least not smaller than the strong karst development area and the fourth It is the overlapping area of ​​the distribution area where the thickness of loose deposits is small, resulting in low operability to prevent or avoid karst ground subsidence disasters, and it is impossible to predict the occurrence of small areas such as tens to hundreds of meters or a single subsidence , not to mention short time scales, such as a few days or even shorter time predictions, that is to say, the above methods are still unable to make predictions of when and where karst ground subsidence will occur

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