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Estimation of Radon as an Earthquake Precursor: A Neural Network Approach


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1 Indian Institute of Technology, Hauz-Khas, New Delhi - 110 016, India
     

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An artificial neural networks (ANN) approach combined with Fourier Transform based selection of time period in the time series Radon Emission Data has been presented and shown to improve event prediction rates and reduce false alarms in Earthquake Event Identification over the traditional multiple linear regression techniques. The paper presents a neural networks system using radial basis function (RBF) network as an alternative to traditional statistical regression technique in isolating Radon Emission Anomaly caused by seismic activities. The RBF model has been developed to accept and predict earthquakes events based on a known data set of Radon Emanation, Metrological parameters and actual earthquake events. Subsequently, the model was tested and evaluated on a future data set and a prediction rate of 87.8%, if a reduced false alarm was achieved, the results obtained are better than the traditional techniques.

Keywords

Modeling, Prediction, Neural Network, Radon Precursor.
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  • DOBROVOLSKY, I.P., ZUBKOV, S.I. and MIACHKIN (1979) Estimation of the size of earthquake preparation zones. Pure Appl. Geophys., v.117(5), pp.1025-1044.
  • FRITSCHEN, L.J. and GAY, L.W. (1979) Environmental Instrumentation. Springer-Verlag, New York.
  • GUPTA DHAWAL, SHAHANI, D.T. and KHAN SHAKEB (2007) Fast Fourier Transform based Earthquake Precursor Analysis of Radon in N-W Himalayas, ICEMI. Computer Measurements and Virtual Instrument Systems, v.3, pp.1-5.
  • IGARASHI, G., SAEKI, S., TAKHAHATA, N., SUMIKAWA, K., TASAKA, S., SASAKI, Y., TAKAHASHI, M. and SANO, Y. (1995) Ground-Water radon anomaly before the Kobe earthquake in Japan. Science, v.269, pp.60-61.
  • JENS HARTMANN and JASON K. LEVY (2005) Hydrogeological andGasgeochemical Earthquake Precursors - A Review. Natural Hazards, Springer 2005, v.34, pp.279-304.
  • KAUSHIK MAZUMDAR (2004) A study of fluctuation in Radon concentration behaviour as precursor to earthquakes. Curr. Sci., v.86.
  • KING, C.Y. (1978) Radon emanation on San Andreas fault. Nature, v.271, pp.516-519.
  • KINGSLEY, S.P., BIAGI, P.F., PICCOLO, R., CAPOZZI, V., ERMINI, A., KHATKEVICH, Y.M. and GORDEEV, E.I. (2001) Hydrogeochmical Precursors of Strong Earthquakes: A realistic possibility in Kamchatka. Phys. Chem. Earth, v.26(10-12), pp.769-774.
  • LOMNITZ, C. and LOMNITZ, L. (1978) Tangshan 1976: A case history in earthquake prediction. Nature, v.171, pp.109-111.
  • MELLIT, A., BENGHANEM, M. and BENDEKHIS, M. (2005) Artificial Neural Network Model for prediction Solar Radiation Data: Application for sizing Stand-alone Photovoltaic Power system. IEEE, 0-7803-9156-X/05.
  • NEGARESTANI, A., SETAYESHI, S., GHANNADI-MARAGHEH, M. and AKASHE, B. (2003) Estimation of Radon concentration in soil related to the environmental parameters by a modified Adaline neural network. Applied Radiation and Isotopes, v.58, Elsevier Sci. Publ., pp.269-273.
  • PLANINIC, J., RADOLIC, V. and LAZANIN, Z. (2001) Searching for an earthquake precursor: temporal variations of radon in soil and water. Fizika b (Zagreb), v.9, pp.75-82.
  • PLANINIC, J., RADOLIC, V. and VUKOVIC, B. (2004) Radon as an earthquake precursor. Nuclear Instruments and Methods in Physics Research, Elsevier Publ., v.530, pp.568-574.
  • RICHON, P., BERNARD, P., LABED, V., SABROUX, J.C., BENEITO, A., LUCIUS, D., ABBAD, S. and ROBE, M.C. (2007) Results of Monitoring Rn in soil gas of the Gulf of Corinth, Greece. Radiation Measurements, v.42, Elsevier Publ., pp.87-93.
  • ROVITHAKIS, G.A. and VALLIANATOS, F. (2000) A Neural Network Approach to the Identification of Electric Earthquake Precursors. Phys. Chem. Earth, Elsevier Sci. Publ., v.25(3), pp.315-319.
  • ULAMOV, V.I. and MAVASHEV, B.Z. (1967) On fore-runners of a strong tectonic earthquakes. Dokl. Acad. Sci., USSR., v.176, pp.319-322.
  • VIRK, H.S. (1995) Radon monitoring of microseimicity in the Kangra and Chamba valleys of Himachal Pradesh, India. Nuclear Geophys., v.9, pp.141-146.
  • VIRK, H.S. and BALJINDER SINGH (1993) Radon anomalies in soil gas and groundwater as earthquake precursor phenomena.Tectonophysics, v.227, pp.215-217.
  • VIRK, H.S. and SINGH, B. (1992) Correlation of radon anomalies with earthquake in Kangra valley. Nuclear Geophys., v.6, pp.293-300.
  • VIRK, H.S. and SINGH, B. (1993) Radon anomalies in soil-gas and groundwater as earthquake precursor phenomena. Tectonophysics, v.227, pp.215-1-224.
  • VIRK, H.S. and SINGH, B. (1994) Radon recording of Ultarkashi earthquake. Geophys. Res. Lett., v.21, pp.737-740.
  • VIRK, H.S., VIVEK WALIA, ANAND KUMAR SHARMA, NARESH KUMAR and RAJIV KUMAR (2000) Correlation of Radon anomalies with microseismic events in Kangra and Chamba valleys of N-W Himalaya. GeofĂ­sica Internacional, v.39(3), pp.221-227.
  • VIRK, H.S., WALIA, V. and KUMAR, N. (2001) Helium/radon precursory anomalies of Chamoli earthquake, Garhwal Himalaya, India. Jour. Geodyn., v.31, pp.201-210.
  • YASUOKA, Y. and SHINOGI, M. (1997) Anomaly in atmospheric radon concentration: a possible precursor of the 1995 Kobe, Japan, earthquake. Health Phys., v.92, pp.759-761.
  • YUMI YASUOKA, GEORGE IGARASHI, TESTUO ISHIKAWA, SHINJI TOKONAMI and MASAKI SHINOGI (2006) Evidence of precursor phenomena in the Kobe earthquake from atmospheric Radon concentration. Applied Geochem., v.21, pp.1064-1072.
  • ZMAZEK, B., VAUPOTIC, J., ZIVCIC, M., PREMRU, U. and KOBAL, I. (2000) Radon monitoring for earthquake prediction in slovenia. Fizika, v.B 9, pp.111-118.
  • ZMAZEK, B., ZIVCIC, M., TODOROVSKI, L., DZEROSKI, S., VAUPOTIC, J. and KOBAL, I. (2005) Radon in soil gas: How to identify anomalies caused by earthquakes. Appld., Geochem., v.20, pp.1106-1119.

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  • Estimation of Radon as an Earthquake Precursor: A Neural Network Approach

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Authors

Dhawal Gupta
Indian Institute of Technology, Hauz-Khas, New Delhi - 110 016, India
D. T. Shahani
Indian Institute of Technology, Hauz-Khas, New Delhi - 110 016, India

Abstract


An artificial neural networks (ANN) approach combined with Fourier Transform based selection of time period in the time series Radon Emission Data has been presented and shown to improve event prediction rates and reduce false alarms in Earthquake Event Identification over the traditional multiple linear regression techniques. The paper presents a neural networks system using radial basis function (RBF) network as an alternative to traditional statistical regression technique in isolating Radon Emission Anomaly caused by seismic activities. The RBF model has been developed to accept and predict earthquakes events based on a known data set of Radon Emanation, Metrological parameters and actual earthquake events. Subsequently, the model was tested and evaluated on a future data set and a prediction rate of 87.8%, if a reduced false alarm was achieved, the results obtained are better than the traditional techniques.

Keywords


Modeling, Prediction, Neural Network, Radon Precursor.

References