多干扰因素下的井水位震前异常信号识别研究

doi:10.12196/j.issn.1000-3274.2025.02.002

Abstract

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

CLC Number:

P315.7

ZHANG Wen-xu, GU Hong-biao, RUI Xue-lian, YANG Yao, JING Hai-zhao, LU Ming-gui, CHI Bao-ming. Study on the Identification of Pre-seismic Anomalies in Well Water Level under Multiple Interferences[J]. EARTHQUAKE, 2025, 45(2): 21-32.

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

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