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地震 ›› 2025, Vol. 45 ›› Issue (2): 21-32.doi: 10.12196/j.issn.1000-3274.2025.02.002

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多干扰因素下的井水位震前异常信号识别研究

张文旭1,2, 谷洪彪3, 芮雪莲4, 杨耀4, 景海钊1,2, 鲁明贵3, 迟宝明1,2   

  1. 1.防灾科技学院, 河北 三河 065201;
    2.河北省资源环境灾变机理及风险监控重点实验室, 河北 三河 065201;
    3.南京工业大学交通运输工程学院, 江苏 南京 210009;
    4.四川省地震局, 四川 成都 610041
  • 收稿日期:2024-04-14 接受日期:2024-07-08 发布日期:2025-09-05
  • 通讯作者: 谷洪彪, 教授。 E-mail: guhongbiao@njtech.edu.cn
  • 作者简介:张文旭(1999-), 男, 安徽合肥人, 在读硕士研究生, 主要从事地震地下流体研究。 E-mail: 15255462331@163.com
  • 基金资助:
    国家自然科学基金项目(42372282)

Study on the Identification of Pre-seismic Anomalies in Well Water Level under Multiple Interferences

ZHANG Wen-xu1,2, GU Hong-biao3, RUI Xue-lian4, YANG Yao4, JING Hai-zhao1,2, LU Ming-gui3, CHI Bao-ming1,2   

  1. 1. Institute of Disaster Prevention, Sanhe 065201, China;
    2. Hebei Key Laboratory of Resource and Environmental Disaster Mechanism and Risk Monitoring, Sanhe 065201, China;
    3. College of Transportation Engineering, Nanjing Tech University, Nanjing 210009, China;
    4. Sichuan Earthquake Agency, Chengdu 610041, China
  • Received:2024-04-14 Accepted:2024-07-08 Published:2025-09-05

摘要: 地下水位序列中有效地震信息的提取一直是重点研究问题, 但水位变化特征与发震机理的关联尚无精确理论描述, 现有研究多忽视了水位变化的物理过程, 难以可靠解释潜在地震信息。 为此, 利用一种基于传递函数模型和小波-回归等方法相结合的数学模型, 旨在联立识别多干扰因素下的井水位序列中震前异常信号。 该模型基于多种观测序列, 模拟了降雨、 潮汐和气压等因素对地下水位变化的响应, 量化了三者对地下水位变化的相对贡献, 揭示了井-含水层系统的部分物理特性。 在此基础上, 成功识别了丰雨季时期地下水位波动中的地震有效信息, 对类似地震井水位序列分析具有一定的参考价值。

关键词: 井水位, 震前变化, 异常识别, 水位模拟, 干扰剔除

Abstract: The effective extraction of earthquake-related information from underground water level sequences as a key scientific issue has attracted much attention. However, the connection between the characteristics of groundwater level changes and the seismicity mechanism has not yet been accurately and theoretically formulated, and most of the existing studies have always stuck in the analysis of the observed signals themselves, ignoring the physical processes behind the water level changes, which makes it difficult to obtain reliable interpretations of the potential seismic information. To this end, this paper utilizes a mathematical model based on the combination of transfer function model, wavelet-regression and other methods, aiming at associatively identifying pre-seismic anomalous signals in well water level sequences. Based on the actual observation sequences, the model simulates the responses of rainfall, tide and barometric pressure to the groundwater level changes, quantifies the relative contributions of the three factors to the groundwater level changes, and reveals some of the physical properties of the well-aquifer system. On this basis, pre-seismic effective information in the groundwater level fluctuation was successfully identified during the abundant rainy season, which provides some references for the analysis of similar well water level sequences.

Key words: Well water level, Pre-seismic changes, Anomaly identification, Water level simulation, Interference rejection

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