SavedAdd your journal

Journals / Journal of Physical Chemistry and Functional Materials / 2026 / Volume: 1 Issue: 1

Determination of Relationships Between Radon Gas (222Rn), Earthquake and Meteorological Parameters with Kriging and Regression Methods

Miraç Kamışlıoğlu(ÜSKÜDAR ÜNİVERSİTESİ)
Pages
—
Publication Date
2018-08-06
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicate that the nonlinear dynamical approximation is suitable for characterization and prediction of the 222 Rn concentration.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Radon gas ( 222 Rn) is very important earthquake sign. 222 Rn concentration emitted from soil shows that nonlinear feature.
📊
Key Findings & Data:Therefore, it is necessary to understand the change determine of 222 Rn propagation characteristic.
💡
Conclusion & Impact:The results indicate that the nonlinear dynamical approximation is suitable for characterization and prediction of the 222 Rn concentration.
🔬Design:Conference Paper
📍Scope:Comprehensive Sample
⚙️Variables:Kriging Methods · Multiple Regression Analysis · Radon

Abstract

Abstract. Radon gas ( 222 Rn) is very important earthquake sign. 222 Rn concentration emitted from soil shows that nonlinear feature. Therefore, it is necessary to understand the change determine of 222 Rn propagation characteristic. In this study, a new prediction algorithm was obtained for explaining the non-linear behaviors of 222 Rn concentrations from soil. On the other hand, Kriging method estimate unmeasured points using regional variability. Estimated results were compared with the regression method. We used Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and R 2 coefficient of determination. The results indicate that the nonlinear dynamical approximation is suitable for characterization and prediction of the 222 Rn concentration. In this paper, soil 222 Rn gas measurements were applicated to Yakapınar Region in the East Anatolian Fault Zone.

🔖

Cite This Article

Kamışlıoğlu, M. (2018). Determination of Relationships Between Radon Gas (222Rn), Earthquake and Meteorological Parameters with Kriging and Regression Methods. Journal of Physical Chemistry and Functional Materials, Volume: 1 Issue: 1. https://ajindex.com/articles/1511564

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (3)

  1. Freund, F.T., On the electrical conductivity structure of the stable continental crust, J. Geodynamics, 35, 353-388, 2003
  2. Freund, F.T., Kulahci, I.G., Cyr, G., Ling, J., Winnick, M., Tregloan-Reed, J., and Freund, M., 2009. Air ionization at rock surfaces and pre-earthquake signals, J. Atmos. Sol-Terr. Phy., 71, 1824-1834.[3] Ghosh, D., Deb, A., Sengupta, R., Patra, K.K., and Bera, S., 2007. Pronounced soil-radon anomaly-Precursor of recent earthquakes in India, Radiat. Meas., 42, 466-471.[4] Friedmann, H., and Hernegger, F., 1978. A method for continuous measurement of radon in water of springs for earthquake prediction, Geophys. Res. Lett., 5, 565-568.[5] Durrani, S.A., and R. Ilić., 1997. Radon measurements by etched track detectors. Application in Radiation Protection, Earth Sciences and the Environments. World Scientific, Signapore.[6] Karig, D.E., and Kozlu, H., 1990. Late Paleogene-Neogene evolution of the triple junction region near Maraş, South-central Turkey, J. Geol. Soc. London., 147, 1023-1034[7] Dragovic S., Antonije O., Classification of soil samples according to geographic origin using gamma-ray spectrometry and pattern recognition methods. Appl Radiat Isotopes., 2007, 65,218-224.[8] Tarakçı, M., Harmanşah, C., Saç, M.M., and İçhedef, M., 2014. Investigation of the relationships between seismic activities and radon level in Western Turkey, Appl. Radiat. Isotopes., 83, 12-17.[9] Matheron G. 1963. Principles of geostatistics. Econ Geol 58:1246.[10] Goovaerts P. Geostatistics for natural resources evaluation. Oxford: Oxford University Press; 1997.[11] Diggle P, Riberio PJ. Model-based geostatistics. London: Springer; 2007.[12] Isaaks EH and Srivastava RM. 1989. An Introduction to Applied Geostatistics. Oxford University Press, London, UK.[13] Yeşilkanat CM, Kobya Y, Taşkin H, et al. Dose rate estimates and spatial interpolation maps of outdoor gamma dose rate with geostatistical methods; A case study from Artvin, Turkey. J Environ Radioact. 2015;150:132–144. 66.[14] Deutsch, C.V., and Journel A.G., 1992. GSLIB: Geostatistical Software Library, Oxford University Press, New York
  3. Külahcı F., Çiçek, Ş., Time-series analysis of water and soil radon anomalies to identify micro–macro-earthquakes, 2015, 8, 5239-5246.