The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Gas geochemistry applied to earthquake prediction: An overview
Abstract
Terrestrial gases in groundwater and soil air have been extensively studied in recent years in seismically active areas, especially in USSR, China, Japan, and United States, in search of premonitory changes that might be useful for earthquake prediction. Concentrations of radon, helium, hydrogen, mercury, carbon dioxide, and several other volatiles have been found generally to be anomalously high along active faults, suggesting that the faults may be paths of least resistance for the terrestrial gases generated or stored in the earth to escape to the atmosphere. Temporal gas concentration changes with durations of a few hours to many months have been observed before many large earthquakes at a relatively small number of favorably situated stations at epicentral distances of up to several hundreds of kilometers. These “sensitive” stations are generally located along active faults, especially at intersections or bends of faults, or some other structurally weak zones, possibly because of tectonic strain concentration at such places. However, gas concentrations, especially those measured at or near the ground surface, may also be significantly affected by meteorological, hydrological, and other nontectonic changes in the environment. The nontectonically induced variations must be carefully eliminated or recognized in the search of true earthquake‐related anomalies.
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Cites
VI. The phenomena of rupture and flow in solids
Griffith, A. A. (1921) · Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character · doi:10.1098/rsta.1921.0006 · Cited by 11,052
Stress corrosion theory of crack propagation with applications to geophysics
Anderson, O. L., & Grew, P. C. (1977) · Reviews of Geophysics · doi:10.1029/rg015i001p00077 · Cited by 469
Excess 3He in the sea: Evidence for terrestrial primodal helium
Clarke, W. B., Beg, M. A., & Craig, H. (1969) · Earth and Planetary Science Letters · doi:10.1016/0012-821x(69)90093-4 · Cited by 352
Excess 3He in deep water on the East Pacific Rise
Craig, H., Clarke, W. B., & Beg, M. A. (1975) · Earth and Planetary Science Letters · doi:10.1016/0012-821x(75)90079-5 · Cited by 323
Tectonic relations of carbon dioxide discharges and earthquakes
Irwin, W. P., & Barnes, I. (1980) · Journal of Geophysical Research: Solid Earth · doi:10.1029/jb085ib06p03115 · Cited by 263
A Mantle Helium Component in Circum-Pacific Volcanic Gases: Hakone, the Marianas, and Mt. Lassen
Craig, H., Lupton, J. E., & Horibe, Y. (1978) · Terrestrial Rare Gases · doi:10.1007/978-94-010-9828-1_1 · Cited by 261
Hydrogen Release: New Indicator of Fault Activity
Wakita, H., Nakamura, Y., Kita, I., Fujii, N., & Notsu, K. (1980) · Science · doi:10.1126/science.210.4466.188 · Cited by 205
Kita, I., Matsuo, S., & Wakita, H. (1982) · Journal of Geophysical Research: Solid Earth · doi:10.1029/jb087ib13p10789 · Cited by 203
Origin of Hydrogen and Carbon Dioxide in Fault Gases and Its Relation to Fault Activity
Sugisaki, R., Ido, M., Takeda, H., Isobe, Y., Hayashi, Y., Nakamura, N., Satake, H., & Mizutani, Y. (1983) · The Journal of Geology · doi:10.1086/628769 · Cited by 202
Gold, T., & Soter, S. L. (1980) · Scientific American · doi:10.1038/scientificamerican0680-154 · Cited by 200
Cited by
Present and past nonanthropogenic CO2 degassing from the solid earth
Kerrick, D. M. (2001) · Reviews of Geophysics · doi:10.1029/2001rg000105 · Cited by 200
Metadata
- Authors
- King, C.
- Venue
- Journal of Geophysical Research: Solid Earth
- Publisher
- American Geophysical Union (AGU)
- Published
- 1986-11-10
- Volume
- 91
- Issue
- B12
- Pages
- 12269-12281
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W1969830066
- Cited by
- 349
- References
- 19
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- closed
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