Amplification of seismic stress-induced radon fluxes near surface seals: Application to earthquake precursor detection
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Updated: May 31, 2026

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
Published on: August 7, 2017
B K Sahoo1, Y S Mayya2, Arshad Khan3
1Radiological Physics and Advisory Division, Bhabha Atomic Research Centre, Mumbai, 400 085, India; Department of Physical Science, Homi Bhabha National Institute, Mumbai, 400 094, India.
Abstract:
Reliable identification of earthquake precursors remains challenging due to weak signal amplitudes and environmental noise. Radon flux from soil is a promising indicator, but its effectiveness is often limited by low signal-to-noise ratios. In this study, we propose the use of surface seals for strengthening the signal to noise ratios of Rn-222 fluxes, based on a theory of amplification of flux signals induced by seismic stresses in their vicinity. The surface seals could either be those installed specifically for this purpose or could be the pre-existing concrete pavements, building foundations or asphalt roads. A two-dimensional advection-diffusion model is formulated and solved analytically using dual integral equation techniques to describe radon transport in partially sealed soils. The analysis demonstrates that sealed surfaces act as transport barriers, leading to subsurface radon accumulation and elevated fluxes near seal edges. Under conditions of seismic stress, the onset of Darcian flow further amplifies these fluxes relative to unsealed environments. Field measurements conducted near a concrete structure corroborate the model predictions, showing that radon flux at seal edges can increase by up to a factor of four compared to open soil. These findings establish seal-edge regions as effective passive amplifiers of radon signals, significantly improving the detectability of radon-based seismic precursors. By strategically placing radon monitors near sealed surfaces, observatories can detect seismic signals more clearly and earlier. The approach may also apply to other underground gases, opening new possibilities for earthquake research and environmental monitoring.
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