A case study of 10 years groundwater radon monitoring along the eastern margin of the Tibetan Plateau and in its adjacent regions: Implications for earthquake surveillance

Zhao, Yuanxin; Liu, Zhaofei; Liu, Ying; Hu, Le; Zhi, Chen; Sun, Fengxia; Lu, Chang

doi:10.1016/j.apgeochem.2021.105014

Cited by 13 publications

(2 citation statements)

References 80 publications

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“…They identify 15 possible radon anomalies among the 24 chosen earthquakes. In addition, Zhao et al [28] applied the residual signal processing technique, the Hurst exponent estimates, and statistical standard (the mean ± two standard deviation) to analyze the radon anomalies in well #32 from 1 January 2008 to 31 December 2018. They detected 12 radon anomalies within 20 chosen earthquakes.…”

Section: The Results Of Seismic Anomaly Identificationmentioning

confidence: 99%

“…The Zemuhe fault is the connection zone of the Anninghe fault and Xiaojiang fault (Figure 1). Crustal structure can be partitioned into four geological units in this study area: the Sichuan-Yunnan Block of the west, the Bayan Har Block of the north, the South China Block of the southeast, and the Sichuan Basin of the northeast [27,28].…”

Section: Geological Settingmentioning

confidence: 99%

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Groundwater Radon Precursor Anomalies Identification by EMD-LSTM Model

Feng

Zhong

Yan

et al. 2022

Water

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Groundwater radon concentrations can reflect the changes of crustal stress and strain. Scholars and scientific institutions have also recorded groundwater radon precursor anomalies before earthquakes. Therefore, groundwater radon monitoring is an effective means of predicting seismic activities. However, the variation of radon concentrations within groundwater is not only affected by structural factors, but also by environmental factors, such as air pressure, temperature, and rainfall. This causes difficulty in identifying the possible precursor anomalies. Therefore, the EMD-LSTM model is proposed to identify the radon anomalies. This study investigated the time series data of groundwater radon from well #32 located in Sichuan province. Three models (including the LSTM (Long Short-Term Memory) model with auxiliary data, the EMD-LSTM (Empirical Mode Decomposition Long Short-Term Memory) model with auxiliary data, and the EMD-LSTM model without auxiliary data) were developed in order to predict groundwater radon variations. The results indicated that the prediction accuracy of the EMD-LSTM model was much higher than that of the LSTM model, and the EMD-LSTM model without auxiliary data also can obtain an ideal prediction result. Furthermore, the different durations of seismic activities T (T = ±10, ±30, ±50, and ±100) were also investigated by comparing the identification results. The identification rate of the precursor anomalies was the highest when T = ±30. The EMD-LSTM model identified five possible radon anomalies among the seven selected earthquakes. Taking well #32 as an example, we provided a promising method, that was the EMD-LSTM model, to detect the groundwater radon anomalies. It also suggested that the EMD-LSTM model can be used to identify the possible precursor anomalies within future studies.

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Section: The Results Of Seismic Anomaly Identificationmentioning

confidence: 99%

Section: Geological Settingmentioning

confidence: 99%

Groundwater Radon Precursor Anomalies Identification by EMD-LSTM Model

Feng

Zhong

Yan

et al. 2022

Water

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Investigation of the relationship between the decline in well waters radon anomalies and the earthquake magnitude (Mw)

Sandıkcıoğlu Gümüş

2024

J Radioanal Nucl Chem

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Afyonkarahisar and its surroundings are in the middle of the Akşehir-Simav Fault System. Before the earthquakes in the region, radon anomalies were observed in some well waters. Linear equations between radon minima and earthquake magnitudes (Mw) were obtained, and correlation coefficients (R2) were calculated. The correlation coefficient (R2) values of the wells from 1 to 6 were obtained as 0.93, 0.83, 0.82, 0.97, 0.87 and 0.85, respectively. Good correlations (high R2 values) were obtained between the radon minimum and the earthquake magnitude (Mw) in 6 wells. The precursory minimum observed at the radon concentration in groundwater decreased as the earthquake's magnitude increased.

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Effect of simulated earthquake loading on radon exhalation from uranium tailings dam

Chen

Hong

et al. 2022

Environ Sci Pollut Res

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A case study of 10 years groundwater radon monitoring along the eastern margin of the Tibetan Plateau and in its adjacent regions: Implications for earthquake surveillance

Cited by 13 publications

References 80 publications

Groundwater Radon Precursor Anomalies Identification by EMD-LSTM Model

Groundwater Radon Precursor Anomalies Identification by EMD-LSTM Model

Investigation of the relationship between the decline in well waters radon anomalies and the earthquake magnitude (Mw)

Effect of simulated earthquake loading on radon exhalation from uranium tailings dam

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