Application of radon (222Rn) as an environmental tracer in hydrogeological and geological investigations: an overview

S Sukanya, J Noble, S Joseph - Chemosphere, 2022 - Elsevier
Radon (222 Rn) is a colourless, odourless, inert, and radioactive noble gas (t 1/2= 3.8 days)
that emanates from rocks and soils as a result of the alpha decay of its parent, radium (226 …

Earthquake forecasting using big data and artificial intelligence: A 30‐week real‐time case study in China

OM Saad, Y Chen, A Savvaidis… - Bulletin of the …, 2023 - pubs.geoscienceworld.org
Earthquake forecasting is one of the most challenging tasks in the field of seismology that
aims to save human life and mitigate catastrophic damages. We have designed a real‐time …

Study on the characteristics of radon exhalation from rocks in coal fire area based on the evolution of pore structure

P Li, Q Sun, J Geng, X Jing, L Tang - Science of The Total Environment, 2023 - Elsevier
Radon is of great significance as a tracer for the detection of coal fires due to its distinct
variations in radon exhalation properties while heating. The research on radon exhalation …

Preseismic atmospheric radon anomaly associated with 2018 Northern Osaka earthquake

J Muto, Y Yasuoka, N Miura, D Iwata, H Nagahama… - Scientific reports, 2021 - nature.com
Despite the challenges in identifying earthquake precursors in intraplate (inland)
earthquakes, various hydrological and geochemical measurements have been conducted to …

Pore structure evolution and radon exhalation characteristics of sandstone after loading and unloading

P Li, Q Sun, L Xue, J Geng, H Jia, T Luo… - International Journal of …, 2023 - Elsevier
Load damage during rock failure is usually accompanied by changes in radon exhalation
characteristics. Radon gas is an excellent tracer with great significance in studying the …

SafeNet: SwArm for earthquake perturbations identification using deep learning networks

P Xiong, D Marchetti, A De Santis, X Zhang, X Shen - Remote Sensing, 2021 - mdpi.com
Low Earth orbit satellites collect and study information on changes in the ionosphere, which
contributes to the identification of earthquake precursors. Swarm, the European Space …

Seismic loss and resilience modeling of bridges in soft soils: towards the design of sustainable transportation infrastructure facilities

JH Lee, A Ansari, H An, JY Jeong - Sustainable and Resilient …, 2024 - Taylor & Francis
Local site characterization and regional tectonic environment are crucial when designing
earthquake-resistant bridges. Insufficient understanding of these factors can lead to …

[HTML][HTML] Electromagnetic and radon earthquake precursors

D Nikolopoulos, D Cantzos, A Alam, S Dimopoulos… - Geosciences, 2024 - mdpi.com
Earthquake forecasting is arguably one of the most challenging tasks in Earth sciences
owing to the high complexity of the earthquake process. Over the past 40 years, there has …

Detection of atmospheric radon concentration anomalies and their potential for earthquake prediction using Random Forest analysis

M Tsuchiya, H Nagahama, J Muto, M Hirano… - Scientific Reports, 2024 - nature.com
Various anomalies occurring before earthquakes are currently being studied to predict
seismic events, with one of them being the radioactive element radon (222Rn). Radon …

Study of pre-seismic thoron anomaly using empirical mode decomposition based Hilbert–Huang transform at Indo-Burman subduction region

T Thuamthansanga, BK Sahoo, RC Tiwari - Journal of Radioanalytical …, 2021 - Springer
This paper presents a causal relationship between thoron anomaly and earthquakes along
the Indo-Burman subduction line. A 15 min cycle thoron data was generated at Mizoram …