吴明,严珊,王金硕,等. 基于InSAR技术对陕西矿区塌陷地震早期预警的研究[J]. 华北地震科学,2022, 40(1):64-70. doi:10.3969/j.issn.1003−1375.2022.01.011.
引用本文: 吴明,严珊,王金硕,等. 基于InSAR技术对陕西矿区塌陷地震早期预警的研究[J]. 华北地震科学,2022, 40(1):64-70. doi:10.3969/j.issn.1003−1375.2022.01.011.
WU Ming,YAN Shan,WANG Jinshuo,et al. Early Warning of Collapse Earthquake in Shaanxi Mining Area based on InSAR Technology[J]. North China Earthquake Sciences,2022, 40(1):64-70. doi:10.3969/j.issn.1003−1375.2022.01.011.
Citation: WU Ming,YAN Shan,WANG Jinshuo,et al. Early Warning of Collapse Earthquake in Shaanxi Mining Area based on InSAR Technology[J]. North China Earthquake Sciences,2022, 40(1):64-70. doi:10.3969/j.issn.1003−1375.2022.01.011.

基于InSAR技术对陕西矿区塌陷地震早期预警的研究

Early Warning of Collapse Earthquake in Shaanxi Mining Area based on InSAR Technology

  • 摘要: 陕西彬州市、神木县因长期的矿产开采,塌陷等次生灾害频发。基于InSAR技术研究出一种结合短周期雷达时间干涉序列、黄土矿区沉降规律和地质条件等的矿区塌陷状态综合判断方法,对陕西黄土矿区塌陷地震的发生区域、时间和范围的早期评估效用进行评估。通过对2017年9月5日陕西彬州ML3.2级塌陷地震和2018年8月16日陕西府谷ML3.2级塌陷地震的干涉时间序列研究,提出了沉降规律模型,成功地识别了崩塌的演化过程和塌陷范围,验证了模型的合理性,为利用InSAR技术对黄土矿区塌陷地震的早期识别提供思路与方法。

     

    Abstract: Secondary disasters such as collapse occur frequently in Binzhou city and Shenmu County of Shaanxi province due to long-term mineral exploitation. A method based on InSAR technology is proposed to evaluate the occurrence area, time and range of collapse earthquake in Shaanxi loess mining area in advance by combining the short period radar interference sequence data, the subsidence law of loess mining area and comprehensive practical judgment. A model of settlement rule is put forward, and the evolution process and collapse range of collapse are successfully identified by studying the interference time series of the ML3.2 collapse earthquake in Binzhou, Shaanxi Province on September 5, 2017 and the ML3.2 collapse earthquake in Fugu, Shaanxi Province on August 16, 2018, which verifies the rationality of the model. This study provides ideas and methods for early identification of collapse earthquake in Loess mining area by InSAR technology.

     

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