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快速、准确地获得土壤含水量信息对农业、水文地质、工程地质和环境科学都具有十分重要的意义.作为中尺度的非侵入型的探测土壤含水量的方法,探地雷达方法受到越来越多的重视,具有广阔的应用前景.本文基于速度分析原理和混合介质介电模型,建立了一套计算土壤含水量的探地雷达数据处理和分析流程.利用提出的数据处理和分析流程对多层水平介质模型的正演模拟数据进行了处理和分析,获得的结果说明了应用此套流程对探地雷达共中心点(CMP)数据估计土壤含水量是适用可行的.然后应用此流程对蒙古国乌兰巴托市水源区域采集的CMP数据进行了处理和分析,并与观测井的信息进行对比,获得了该区域准确的地下水位和土壤含水量信息.正演模拟数据和实测数据处理分析结果验证了探地雷达方法测量土壤含水量的有效性和可靠性.
Rapid and accurate access to information on soil moisture is of great importance to agriculture, hydrogeology, engineering geology and environmental science.As a non-intrusive method of detecting soil moisture at mesoscale, GPR methods are increasingly being used A lot of attention and wide application prospects.Based on the principle of velocity analysis and mixed dielectric model, a set of data processing and analysis process of ground penetrating radar to calculate soil water content is established.Based on the proposed data processing and analysis process, And the results of the simulation show that it is feasible to use this set of procedures to estimate the soil water content of the GPR data.Then the application of this process to Mongolia The CMP data collected in the water area of Ulaanbaatar city of China were processed and analyzed and compared with the information of observation wells to obtain the accurate information of groundwater level and soil moisture content in this area.The processing and analysis of forward modeling data and measured data The results validate the validity and reliability of the GPR method for measuring soil water content.