基于探地雷达的出矿口土壤含水率测量
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中图分类号：TD74 文献标志码：A
Measurement of soil moisture content at mine outlets based on ground-penetrating radar
LIUHongliangl，WANG Xu2 ，LI Zhihua²，LIXiaoshan¹，YANGYuanhaonan²，LIULinquan¹，DOUJi1 （1.Yunnan DiqingNon-FerrousMetal Co.，Ltd.，Diqing 674408，China; 2.School of Automation， China University of Geosciences（Wuhan），Wuhan 43oo74，China）
Abstract：In high-altitude underground mining operations，the soil moisture content at mine outlets is unevenlydistributed and easily affected byrainfall seepage.Themoisture variation fromshallow todeep layers is a key factor inducing debris flow or mud inrush disasters.Traditional contact measurement methods cannot effectively monitor thisarea.To address thisproblem，asoil moisture inversionmethod basedon Stepped Frequency Continuous Wave （SFCW） ground-penetrating radar and Support Vector Machine （SVM） was proposed to measure the soil moisture content at mine outlets.The method set the detection depth at 0.3m and achieved rapid and non-contact measurement of soil moisture content at mine outlets through radar scaning， signal preprocessing，feature extraction （reflectioncoefficient and phase diference），and SVM modelingand inversion.Simulation results showed that SFCW radar effectivelyidentified reflection featurescaused by moist regions，verifying the feasibilityof thismethod in detecting layeredand heterogeneous soils.Underlaboratory conditions，SFCW radar was used to measure sandy loam samples collcted from the Pulang Copper Mine outlet， and by comparing multiple modeling methods，the SVMmodel based on thecombined features of the reflection coefficient and phase difference was found to produce the best inversion performance.Field measurements at the Pulang Copper Mine outlet showed that the relative error between predicted and measured values was within the range of 9.67% to 14.53% ，indicating that the method provides relatively reliable soil moisture estimation within an effective detection range of 1m horizontally and 0.3m in depth.
Key words： soil moisture content at mine outlets; ground-penetrating radar; stepped frequency continuous wave radar; support vector machine; reflection coefficient; phase difference
0引言
随着中国经济建设和重大工程项目的持续推进，矿产资源开发进入高强度与高密度阶段，地下工程数量和规模不断增加，随之而来的地质灾害风险亦显著上升[1]。（剩余13115字）
