An Artificial Neural Network Model for Earthquake Prediction and Relations between Environmental Parameters and Earthquakes
Earthquakes are natural phenomena that occur with influence of a lot of parameters such as seismic activity, changing in the ground waters' motion, changing in the water-s temperature, etc. On the other hand, the radon gas concentrations in soil vary as nonlinear generally with earthquakes. Continuous measurement of the soil radon gas is very important for determination of characteristic of the seismic activity. The radon gas changes as continuous with strain occurring within the Earth-s surface during an earthquake and effects from the physical and the chemical processes such as soil structure, soil permeability, soil temperature, the barometric pressure, etc. Therefore, at the modeling researches are notsufficient to knowthe concentration ofradon gas. In this research, we determined relationships between radon emissions based on the environmental parameters and earthquakes occurring along the East Anatolian Fault Zone (EAFZ), Turkiye and predicted magnitudes of some earthquakes with the artificial neural network (ANN) model.
[1] F. K├╝lahc─▒, M. ─░nceöz, M. Do─ƒru, E. Aksoy, and O. Baykara, "Artificial
neural network model for earthquake prediction with radon monitoring,"
Appl. Radiat. Isot., vol. 67, pp. 212-219, 2009.
[2] D. V. Reddy, B. S. Sukhija, P. Nagabhushanam, and D. Kumar, "A clear
case of radon anomaly associated with a micro-earthquake event in a
Stable Continental Region," Geophys.Res. Lett., vol. 31, L10609, 2004.
[3] D. Ghosh, A. Deb, R. Sengupta, S., Bera, and K.K. Patra, "Prounced soil
radon anomaly-precursor of recent earthquakes in India," Radiat. Meas.,
vol. 42, pp. 466-471, 2007.
[4] G. F. Bichard and W. F. Libby, "Soil Radon Concentration Changes
Preceeding and Following Four Magnitude 4.2-4.7 Earthquakes on the
San Jacinto Fault in Southem California," J. Geophys. Res., vol. 85, pp.
3100-3106, 1980.
[5] H. S. Virk and B. Singh, "Radon Anomalies in Soil gas and
Groundwater as Earthquake Precursor Phenomena," Tectonophysics,
vol. 227, pp. 215-224, 1993.
[6] J. Planinic, V. Radolic, and Z. Lazanin, "Temporal variation of Radon in
Soil Related to Earthquakes," Appl. Radiat. Isot., vol. 55, pp. 267-272,
2001.
[7] C. Y. King, "Radon Emanation on San Andreas Fault," Nature, vol. 271,
pp. 516-519, 1978.
[8] H. A. Khan and A. A. Qureshi, "Solid State Nuclear Track Detection: A
useful Geological/Geophysical Tool," Nucl. Geophys., vol. 8, pp. 1-37,
1994.
[9] D. Ghosh, A. Deb, and R. Sengupta, "Anomalous radon emission as
precursor of earthquake", J. Appl. Geophys., vol. 69, pp. 67-81, 2009.
[10] T. Teng, "Some Recent Studies on Groundwater Radon Content as an
Earthquake Precursor", J. Geophys. Res., vol. 85, pp. 3089-3099, 1980.
[11] B. Zmazek, M. Zivcic, J. Vaupotic, M. Bidovec, M. Poljak, and I.
Kobal, "Soil radon monitoring in the Krosho Basin, Slovenia," Appl.
Radiat. Isot., vol. 56, pp. 649-657, 2002.
[12] Z. Yuhong and H. Wenxin, "Application of artificial neural network to
predict the friction factor of open channel flow," Commun Nonlinear
SciNumerSimulat, vol. 14, pp. 2373-2378, 2009.
[13] I. Tasadduq, S. Rehman, and K. Bubshait, "Application of neural
network for the prediction of hourly mean surface temperatures in Saudi
Arabia", Renewable Energy, vol. 25, pp. 545-554, 2002.
[14] F. Külahcı, A. B. Özer, M. Doğru, "Prediction of radioactivity in Hazar
Lake (Sivrice, Turkey) by artificial neural networks", J. Radiat.
andNucl. Chem., vol. 269, pp. 63-68,2006.
[15] F. K├╝lahc─▒, and Z. ┼×en, "Multivariate statistical analyses of artificial
radionuclides and heavy metals contaminations in deep mud of Keban
Dam Lake, Turkey," Appl. Radiat. Isot., vol. 66, pp. 236-246, 2008.
[16] R. Borge, J. Lumbreras, S. Vardoulakis, P. Kassomenos, E. Rodríguez,
"Analysis of long-range transport influences on urban PM10 two stage
atmospheric trajectory clusters," Atmos. Environ., vol. 41, pp.4434-
4450,2007.
[17] S. Oltedal, and T. Rundmo, "Using cluster analysis to test the cultural
theory of risk perception," Transp. Research. Part F, vol.10, pp. 254-
262, 2007.
[1] F. K├╝lahc─▒, M. ─░nceöz, M. Do─ƒru, E. Aksoy, and O. Baykara, "Artificial
neural network model for earthquake prediction with radon monitoring,"
Appl. Radiat. Isot., vol. 67, pp. 212-219, 2009.
[2] D. V. Reddy, B. S. Sukhija, P. Nagabhushanam, and D. Kumar, "A clear
case of radon anomaly associated with a micro-earthquake event in a
Stable Continental Region," Geophys.Res. Lett., vol. 31, L10609, 2004.
[3] D. Ghosh, A. Deb, R. Sengupta, S., Bera, and K.K. Patra, "Prounced soil
radon anomaly-precursor of recent earthquakes in India," Radiat. Meas.,
vol. 42, pp. 466-471, 2007.
[4] G. F. Bichard and W. F. Libby, "Soil Radon Concentration Changes
Preceeding and Following Four Magnitude 4.2-4.7 Earthquakes on the
San Jacinto Fault in Southem California," J. Geophys. Res., vol. 85, pp.
3100-3106, 1980.
[5] H. S. Virk and B. Singh, "Radon Anomalies in Soil gas and
Groundwater as Earthquake Precursor Phenomena," Tectonophysics,
vol. 227, pp. 215-224, 1993.
[6] J. Planinic, V. Radolic, and Z. Lazanin, "Temporal variation of Radon in
Soil Related to Earthquakes," Appl. Radiat. Isot., vol. 55, pp. 267-272,
2001.
[7] C. Y. King, "Radon Emanation on San Andreas Fault," Nature, vol. 271,
pp. 516-519, 1978.
[8] H. A. Khan and A. A. Qureshi, "Solid State Nuclear Track Detection: A
useful Geological/Geophysical Tool," Nucl. Geophys., vol. 8, pp. 1-37,
1994.
[9] D. Ghosh, A. Deb, and R. Sengupta, "Anomalous radon emission as
precursor of earthquake", J. Appl. Geophys., vol. 69, pp. 67-81, 2009.
[10] T. Teng, "Some Recent Studies on Groundwater Radon Content as an
Earthquake Precursor", J. Geophys. Res., vol. 85, pp. 3089-3099, 1980.
[11] B. Zmazek, M. Zivcic, J. Vaupotic, M. Bidovec, M. Poljak, and I.
Kobal, "Soil radon monitoring in the Krosho Basin, Slovenia," Appl.
Radiat. Isot., vol. 56, pp. 649-657, 2002.
[12] Z. Yuhong and H. Wenxin, "Application of artificial neural network to
predict the friction factor of open channel flow," Commun Nonlinear
SciNumerSimulat, vol. 14, pp. 2373-2378, 2009.
[13] I. Tasadduq, S. Rehman, and K. Bubshait, "Application of neural
network for the prediction of hourly mean surface temperatures in Saudi
Arabia", Renewable Energy, vol. 25, pp. 545-554, 2002.
[14] F. Külahcı, A. B. Özer, M. Doğru, "Prediction of radioactivity in Hazar
Lake (Sivrice, Turkey) by artificial neural networks", J. Radiat.
andNucl. Chem., vol. 269, pp. 63-68,2006.
[15] F. K├╝lahc─▒, and Z. ┼×en, "Multivariate statistical analyses of artificial
radionuclides and heavy metals contaminations in deep mud of Keban
Dam Lake, Turkey," Appl. Radiat. Isot., vol. 66, pp. 236-246, 2008.
[16] R. Borge, J. Lumbreras, S. Vardoulakis, P. Kassomenos, E. Rodríguez,
"Analysis of long-range transport influences on urban PM10 two stage
atmospheric trajectory clusters," Atmos. Environ., vol. 41, pp.4434-
4450,2007.
[17] S. Oltedal, and T. Rundmo, "Using cluster analysis to test the cultural
theory of risk perception," Transp. Research. Part F, vol.10, pp. 254-
262, 2007.
@article{"International Journal of Earth, Energy and Environmental Sciences:62212", author = "S. Niksarlioglu and F. Kulahci", title = "An Artificial Neural Network Model for Earthquake Prediction and Relations between Environmental Parameters and Earthquakes", abstract = "Earthquakes are natural phenomena that occur with influence of a lot of parameters such as seismic activity, changing in the ground waters' motion, changing in the water-s temperature, etc. On the other hand, the radon gas concentrations in soil vary as nonlinear generally with earthquakes. Continuous measurement of the soil radon gas is very important for determination of characteristic of the seismic activity. The radon gas changes as continuous with strain occurring within the Earth-s surface during an earthquake and effects from the physical and the chemical processes such as soil structure, soil permeability, soil temperature, the barometric pressure, etc. Therefore, at the modeling researches are notsufficient to knowthe concentration ofradon gas. In this research, we determined relationships between radon emissions based on the environmental parameters and earthquakes occurring along the East Anatolian Fault Zone (EAFZ), Turkiye and predicted magnitudes of some earthquakes with the artificial neural network (ANN) model.
", keywords = "Earthquake, Modeling, Prediction,Radon.", volume = "7", number = "2", pages = "100-4", }
