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 …

Radon-222: environmental behavior and impact to (human and non-human) biota

M Ćujić, L Janković Mandić, J Petrović… - International journal of …, 2021 - Springer
As an inert radioactive gas, 222 Rn could be easily transported to the atmosphere via
emanation, migration, or exhalation. Research measurements pointed out that 222 Rn …

Investigating radon and TEC anomalies relative to earthquakes via AI models

A Muhammad, F Külahcı, S Birel - Journal of Atmospheric and Solar …, 2023 - Elsevier
Simultaneously studying earthquakes, Radon gas (Rn), and the Ionospheric total electron
content (TEC) provides insight into the Lithosphere-Atmosphere-Ionosphere coupling (LAIC) …

Developing an expert system based on association rules and predicate logic for earthquake prediction

A Ikram, U Qamar - Knowledge-Based Systems, 2015 - Elsevier
Expert systems (ES) are a branch of applied artificial intelligence. The basic idea behind ES
is simply that expertise, which is the vast body of task-specific knowledge, is transferred from …

Modeling radon time series on the North Anatolian fault zone, Turkiye: Fourier transforms and Monte Carlo simulations

A Muhammad, F Külahcı, P Akram - Natural Hazards, 2020 - Springer
Time series studies depend mostly on stochastic models for radon seasonal, annual or
temporal variability explanations. Others solve radon transport steady state equation …

Time series analysis of soil radon in Northern Pakistan: Implications for earthquake forecasting

A Barkat, A Ali, U Hayat, QG Crowley, K Rehman… - Applied …, 2018 - Elsevier
Time series analysis of soil radon data has previously been proposed as a mechanism for
earthquake hazard forecasting, but it is not universally accepted as such. Here we perform …

Time series analysis of soil radon data using multiple linear regression and artificial neural network in seismic precursory studies

S Singh, HP Jaishi, RP Tiwari, RC Tiwari - Pure and Applied Geophysics, 2017 - Springer
This paper reports the analysis of soil radon data recorded in the seismic zone-V, located in
the northeastern part of India (latitude 23.73 N, longitude 92.73 E). Continuous …

Determination of possible responses of Radon-222, magnetic effects, and total electron content to earthquakes on the North Anatolian Fault Zone, Turkiye: an ARIMA …

DHK Mohammed, F Külahcı, A Muhammed - Natural Hazards, 2021 - Springer
Around the world, earthquake forecasting studies have become very important nowadays
due to the increase in number of fatal earthquakes annually. This paper proposes to achieve …

ARIMA model simulation for total electron content, earthquake and radon relationship identification

S Keskin, F Külahcı - Natural Hazards, 2023 - Springer
Earthquakes cause many losses of life and property with their devastating effects. Scientists
conduct studies to predict the hazards by examining the anomalies that occur before the …

Long Short Term Memory networks (LSTM)-Monte-Carlo simulation of soil ionization using radon

A Muhammad, F Külahcı, H Salh… - Journal of Atmospheric and …, 2021 - Elsevier
Earthquake events are usually associated with atmospheric processes variations. Some of
the important events in seismic periods include the atmospheric electricity/conductivity …