| S-SARⅡ技术的崩塌临灾应急监测原理及其应用 |
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| 引用本文： | 刘冀昆,杨晓琳,王成虎.S-SARⅡ技术的崩塌临灾应急监测原理及其应用[J].地质科技通报,2023,42(1):42-51. |
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| 作者姓名： | 刘冀昆 杨晓琳 王成虎 |
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| 作者单位： | 1.应急管理部国家自然灾害防治研究院, 北京 100085 |
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| 基金项目： | 国家重点研发计划2021YFC3001901 |
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| 摘 要： | 崩塌灾害具有高隐蔽性、强突发性、重危害性等特点, 其预警监测是各类重大基础工程准备阶段以及施工期间的重要研究工作, 同时也是崩塌临灾监测救援现场指挥工作的重要科学依据。结合地基合成孔径干涉雷达技术(GB-InSAR)和最新的MIMO技术, 将应急边坡救援雷达S-SARⅡ的系统量程扩大了60倍, 并通过监测内蒙古某矿场主矿坑西南帮崩塌隐患点生成雷达形变图, 结合三维高程模型DEM以及多种预测模型预测崩塌发生时间。结果表明, S-SARⅡ精准地确定了形变区域及形变量, 并预测崩塌发生时间为8月29日9∶32-10∶27之间, 最终崩塌发生时间为8月29日10点26分。因此, S-SARⅡ准确预测了崩塌灾害的发生时间, 最大程度地保障了矿区的生产安全, 并通过实际应用分析证明, 优化后的S-SARⅡ的系统量程得到了数量级提升, 满足崩塌监测的需要, 且以S-SARⅡ为代表的遥测预警技术在地质灾害险情处置和应急救援中具有明显的技术优势。
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| 关 键 词： | S-SARⅡ 崩塌 MIMO 临灾应急监测 GB-InSAR |
| 收稿时间： | 2022-09-02 |
Principle and application of S-SARⅡ technology for collapse emergency monitoring |
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| Affiliation: | 1.National Institute of Natural Hazards, Ministry of Emergency Management, Beijing 100085, China2.China University of Geosciences(Beijing), Beijing 100083, China3.China Academy of Safety Science and Technology, Beijing 100012, China |
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| Abstract: | The collapse disaster has the characteristics of high concealment, strong paroxysm and serious harmfulness. Its early warning monitoring is an important research work in the preparation phase and construction period of various major foundation projects, and it is also an important scientific basis for the on-site command of collapse disaster monitoring and rescue. In this paper, combined with GB-InSAR and the latest multiple input multiple output(MIMO) technologies, the measurement range of emergency slope rescue radar S-SAR II has expanded by 60 times.The radar deformation map is generated by monitoring the potential collapse points on the southwest side of a open pit in Inner Mongolia, and the occurrence time of collapse is predicted by using DEM and various prediction models. The results show that S-SAR Ⅱ accurately determines the deformation area and corresponding magnitude and predicts that the time of collapse is between 9:32 a.m. and 10:27 a.m. on August 29, and the actual time of collapse is 10:26 on August 29. Therefore, S-SAR Ⅱcan predict the occurrence time of collapse disaster and guarantee the production safety of the mining regions. Through practical application analysis, it is proved that the range of S-SAR Ⅱ system has been significantly improved after optimization to meet the needs of collapse monitoring, and the telemetry and early warning technology represented by S-SAR Ⅱ has obvious technical advantages in geological disaster risk disposal and emergency rescue. |
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