Elsevier

Journal of Asian Earth Sciences

Volume 149, November 2017, Pages 49-63
Journal of Asian Earth Sciences

Assesment of the response of the meteorological/hydrological parameters on the soil gas radon emission at Hsinchu, northern Taiwan: A prerequisite to identify earthquake precursors

https://doi.org/10.1016/j.jseaes.2017.06.033Get rights and content

Highlights

  • The response of meteorological parameters on soil radon emission is assessed and quantified.

  • Radon and Ground Water Head data from the Hsinchu monitoring station is used.

  • Singular Spectrum Analysis and BAYTAP-G statiscial filters are used to remove noise.

  • Data is simulated using: Tank Model, Exponential Decay and Double Exponential Decay.

Abstract

The present study is an attempt to assess and quantify the influence of the meteorological (atmospheric temperature and pressure) and hydrological (rainfall and ground water head-GWH) parameters on the soil gas radon emission at Hsinchu, northern Taiwan. The quasi-periodic variations corresponding to diurnal and semi diurnal periods were estimated and eliminated by decomposing the time series for the period of September 16, 2009 to March 5, 2010 to singular spectrum analysis. The reconstructed non-periodic variations, which reproduce the salient feature of recorded time series, were searched for meteorological/hydrological influences in radon emission. The combined response of barometric pressure and atmosphere temperature are found to be small when compared to the total variability in radon. The influence of rainfall on radon is found to be strongest. At the onset of rainfall, radon shows a step-jump that attains peak with a time lag of 12–15 h. This enhancement is attributed to entrapment of soil gas in the top soil cover as increased soil moisture prevents escape of radon into the atmosphere (capping effect). The decay of radon after the recession of rainfall is approximated by double exponential decay terms, one corresponding to the natural decay of radon with half life of 3.84 days and second representing slow weakening of capping effect. The third effect related to internal loading due to rise and fall of groundwater modulates the propagation of radon in overlying strata, accounting for the long term variations in radon. The rainfall inflicted changes in radon look strikingly similar to earthquake related precursory or co-seismic perturbations, inferred by long term synotopic observations. It is surmised that unless radon variations are corrected for meteorological/hydrological contamination, some precursory signals are masked on one hand while on the other hand some anomalies are falsely viewed as earthquake precursors.

Introduction

As the stress level increases during earthquake preparatory cycle, the rocks in the impending focal zone experience opening of micro-cracks (Scholz et al., 1973). With the opening of cracks, exposed surface area of rocks also increases that leads to enhanced emanation of radon (Thomas, 1988). If this increase in radon intensity can be measured at the surface, it can serve as a possible precursor to earthquakes. With the realisation of the physical mechanism, some of the early field examples, e.g. 1966 M5,5 Tashknet earthquake (Ulomov and Mavashev, 1967), reporting several fold increase in radon in association earthquake occurrences has given major impetuous for initiating the monitoring of radon across the word wide seismic active (Barbosa et al., 2015, Heinicke et al., 1992, Igarashi et al., 1995, Virk et al., 2001, Steinitz et al., 2003, Zmazek et al., 2005, Kumar et al., 2009, Kumar et al., 2015). So rapid is the growth, that number of reviews have appeared at regular time interval, attempting to characterize the nature of precursors, their physical validation or to establish a scaling relation of anomalous changes in radon with the magnitude and distance of impending earthquakes (Wakita et al., 1988, Thomas, 1988, Toutain and Baubron, 1999, Hartmann and Levy, 2005, King et al., 2006, Cicerone et al., 2009). Despite the rapid growth, yet no universal ones to isolate and document the diagnostic signature of a precursory signal in radon definition of earthquake precursory signal has emerged and hence radon precursors are seldom used in real time forecasting of earthquakes. Further, even if reported radon precursors are real, how they are physically related to the preparation process of an impending earthquake remain an open issue (Woith, 2015). More intriguing is the observation that there is apparent negative correlation between the numbers of reported anomalies and the length of the time series processed to isolate precursory signals (Woith, 2015). In other words, most of the so claimed success stories that have often emerged from short lengths of data and hence it is likely that influence of non-dynamic factors influencing radon variability may not be neutralised. However, as a result of continuing monitoring in different environments, it has been well recognised that the propagation and transportation of radon from the focal zone to surface is controlled by diffusion (gradient in concentration), advection (pressure- Clements and Wilkening, 1974), convection (temperature- Finkelstein et al., 2006) processes. In addition, modulation of soil moisture (capping effect- Schumann et al., 1988, Schumann et al., 1992), squeezing of water (rinsing effect- Hesselbom, 1985) following events of rainfall produce strong contamination in radon intensity (Schumann et al., 1992, Fujiyoshi et al., 2006). The real assessment and quantification of these influences is a major pre-requisite to isolate weak precursory and co-seismic signals. The present study is a fresh attempt to quantify the nature and extent of influence of meteorological and hydrological parameter on radon emission in the seismically active belt of Taiwan, where dense network of soil gas radon monitoring network has been in operation for a long time (Walia et al., 2009a).

Section snippets

Monitoring network, data and synoptic observation

Fig. 1 shows the network of soil-gas monitoring stations in Taiwan, set up jointly by NTU-NCREE mostly as a part of sponsored projects of the Central Geological Survey of Taiwan. To build a monitoring station, reconstructions were done by digging holes of 2 m and by casing these holes with PVC pipes. At the bottom of PVC pipe, a fine mesh is attached to avoid the enterance of any unwanted materials into the pipe. The PVC sheet is put on all the sides of the PVC pipe at the bottom extending about

Single Value Decomposition (SVD)

It was observed that filtered time series for different parameters are dominated by two classes of time variations; (i) periodic variations at diurnal frequencies, (ii) aperiodic signals with time scale of 2–30 days, later determined by the cut-off period of filter applied. In addition, different time-series are superposed with varying levels of random/white noise. To extract main patterns present in each parameter, we took recourse to data-driven Singular Spectrum Analysis (SSA) technique that

Estimation of the influence of meteorological and hydrological parameters on radon emission

From the above decomposed aperiodic variations, it follows that the influence of rainfall and allied meteorological parameters vary greatly on affected parameters, e.g. while the response of radon emission to rainfall is characterized by step rise and complex decay pattern, the GWH, temperature/pressure are marked continuous rise (loading) and decline (unloading) with varying phase lags/delays. Hence, any technique adopted to estimate the hydrological and meteorological parameters should take

Overview of the influence of meteorological and hydrological parameters on radon emission

The influences of the meteorological (barometric pressure and atmospheric temperature) and hydrological (rainfall and ground water level) parameters are quantified on the soil gas radon emission recorded at the Hsinchu monitoring station, northern Taiwan. In the first instance, the effect of long term trend and seasonal variations were removed by subjecting the recorded time series for the period of September 16, 2009–March 5, 2010 to the digital filter, retaining variations shorter than 30 

Conclusions

Quantitative assessment of the influence of meteorological parameters on the radon intensity at the Hsinchu monitoring station, Taiwan revealed that the temperature/pressure induced variations in radon account for only 10–14 percent of the total variability. The most strong perturbations in radon intensity are seen in association with rainfall sequences. With the onset of the rainfall, radon shows a step-jump that attains peak with a time lag of 12–15 h. Increased soil moisture in the surface

Acknowledgements

The authors dedicate the present paper to Prof. Tsanyao Frank Yang, the founder of geochemical earthquake precursory research in Taiwan, who left for his heavenly abode in midst of the present study. The authors acknowledge, with thanks the Central Geological Survey of Taiwan (CGS) for funding the establishment of a geochemical monitoring network, alongwith Ministry of Science and Technology (MOST) (earlier know as the National Science Council (NSC)) of Taiwan for partially supporting the

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    1

    Present address: Uttarakhand State Council of Science & Technology, Jhajra, via-Premnagar, Dehradun 248007, India.

    2

    Left for heavenly abode on March 12, 2015.

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