| 复信号分析技术在地质雷达预报岩溶裂隙水中的应用研究 |
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| 引用本文： | 刘斌,李术才,李树忱,张庆松,薛翊国,钟世航.复信号分析技术在地质雷达预报岩溶裂隙水中的应用研究[J].岩土力学,2009,30(7):2191-2196. |
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| 作者姓名： | 刘斌 李术才 李树忱 张庆松 薛翊国 钟世航 |
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| 作者单位： | 山东大学,岩土与结构工程研究中心,济南,250061 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，国家自然科学基金专项基金，国家自然科学基金重点项目 |
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| 摘 要： | 对岩溶裂隙水进行及时准确的预报，是当前岩溶隧道设计和施工中亟待研究和解决的关键问题。复信号分析技术能够提取多个参数进行综合判断，基于此优点，尝试将复信号分析技术引入到地质雷达探查水体的研究中。对雷达数据中的水体异常分别从振幅、频率和相位等方面进行综合判断，克服了以往判断依据单一的缺点，为利用地质雷达进行岩溶裂隙水预报提供了一种切实可行的方法。首先，介绍了复信号分析技术的原理，阐述了在地质雷达信号处理中引入复信号分析技术的必要性；然后探讨了基于复信号分析技术的地质雷达预报岩溶裂隙水的可行性，得出了判断水体的依据。最后结合工程实例，对地质雷达数据进行了复信号处理，并对岩溶裂隙水进行了综合判断。与开挖结果对比显示，复信号分析技术的运用较大的提高了岩溶裂隙水预报的准确性和可信性。
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| 关 键 词： | 岩溶裂隙水预报 复信号分析技术 地质雷达 超前地质预报 |
| 收稿时间： | 2008-05-29 |
Study of application of complex signal analysis to predicting karst-fractured ground water with GPR |
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| LIU Bin,LI Shu-cai,LI Shu-chen,ZHANG Qing-song,XUE Yi-guo,ZHONG Shi-hang.Study of application of complex signal analysis to predicting karst-fractured ground water with GPR[J].Rock and Soil Mechanics,2009,30(7):2191-2196. |
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| Authors: | LIU Bin LI Shu-cai LI Shu-chen ZHANG Qing-song XUE Yi-guo ZHONG Shi-hang |
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| Institution: | Research Center of Geotechnical & Structural Engineering, Shandong University, Jinan 250061, China |
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| Abstract: | The precise and immediate forecasting karst-fractured groundwater is a key problem to be studied and resolved currently in tunnel design and construction. Complex signal analysis can be used to extract multiple parameters to make a synthetical judgment. Based on this advantage, it is introduced to the prediction of water with the ground penetrating radar (GPR) to analyze the water response in the radar data from amplitude, frequency and phase, which overcomes disadvantage that the judge criteria is single, and provides a practical method to predict karst-fractured groundwater with GPR. The theory of complex signal analysis and necessity to be introduced to GPR signal processing is first illustrated. Then the feasibility of the karst-fractured groundwater prediction with GPR based on complex signal analysis is discussed; and the criteria to estimate water is obtained. At last, with project example, the GPR data is processed in complex signal analysis and the karst-fractured groundwater is analyzed. It is shown that the application of complex signal analysis improves the accuracy and credibility of prediction greatly in comparison with the excavation result. |
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| Keywords: | karst-fractured groundwater prediction complex signal analysis ground penetrating radar advanced geology prediction |
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