Time Series Analysis of Soil Radon Data Using Multiple Linear Regression and Artificial Neural Network in Seismic Precursory Studies-Reference-Cited by-同舟云学术

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Time Series Analysis of Soil Radon Data Using Multiple Linear Regression and Artificial Neural Network in Seismic Precursory Studies

Published:2017-04-24 Issue:7 Volume:174 Page:2793-2802
ISSN:0033-4553
Container-title:Pure and Applied Geophysics
language:en
Short-container-title:Pure Appl. Geophys.

Author:

Singh S.,Jaishi H. P.,Tiwari R. P.,Tiwari R. C.

Funder

Ministry of Earth Sciences

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,Geophysics

Link

http://link.springer.com/article/10.1007/s00024-017-1556-4/fulltext.html

Reference42 articles.

1. Arafa, W. (2002). Permeability of radon-222 through some materials. Radiation Measurements, 35, 207–211.

2. Chyi, L. L., Quick, T. J., Yang, T. F., & Chen, C. H. (2005). Soil gas radon spectra and earthquakes. Terrestrial, Atmospheric and Oceanic Sciences, 16, 763–774.

3. Dewey, J. F., & Bird, J. M. (1970). Mountain belts and the new global tectonics. Journal of Geophysical Research, 75, 2625–2647.

4. Dobrovolsky, I. P., Zubkov, S. I., & Miachkin, V. I. (1979). Estimation of the size of earthquake preparation zones. Pure and Applied Geophysics, 117, 1025–1044.

5. Etiope, G., & Lombardi, S. (1995). Evidence for radon transport by carrier gas through faulted clays in Italy. Journal of Radioanalytical and Nuclear Chemistry, 193, 291–300.

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