Earthquake precursors: A review of key factors influencing radon concentration
P Huang, W Lv, R Huang, Q Luo, Y Yang - Journal of environmental …, 2024 - Elsevier
Many factors influence the accurate identification of radon anomalies triggered by
earthquakes to varying degrees. Therefore, this paper primarily provides a comprehensive …
earthquakes to varying degrees. Therefore, this paper primarily provides a comprehensive …
Earthquake prediction model using support vector regressor and hybrid neural networks
Earthquake prediction has been a challenging research area, where a future occurrence of
the devastating catastrophe is predicted. In this work, sixty seismic features are computed …
the devastating catastrophe is predicted. In this work, sixty seismic features are computed …
Earthquake alerting based on spatial geodetic data by spatiotemporal information transformation learning
Y Tong, R Hong, Z Zhang, K Aihara… - Proceedings of the …, 2023 - National Acad Sciences
Alerting for imminent earthquakes is particularly challenging due to the high nonlinearity and
nonstationarity of geodynamical phenomena. In this study, based on spatiotemporal …
nonstationarity of geodynamical phenomena. In this study, based on spatiotemporal …
CO2 and Radon Emissions as Precursors of Seismic Activity
S D'Incecco, E Petraki, G Priniotakis… - Earth Systems and …, 2021 - Springer
This paper reports a review on the relationship between seismic activity and the emissions
of CO2 and radon. Direct, indirect and sampling methods are mainly employed to measure …
of CO2 and radon. Direct, indirect and sampling methods are mainly employed to measure …
Anomalies prediction in radon time series for earthquake likelihood using machine learning-based ensemble model
The ability to predict the radioactive soil radon gas concentration is important for human
beings because it serves as a precursor to earthquakes. Several studies have been …
beings because it serves as a precursor to earthquakes. Several studies have been …
Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification
In this study an earthquake predictor system is proposed by combining seismic indicators
along with Genetic Programming (GP) and AdaBoost (GP-AdaBoost) based ensemble …
along with Genetic Programming (GP) and AdaBoost (GP-AdaBoost) based ensemble …
Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia
Earthquakes have been universally recognised as seismological disasters that pose a threat
to civilization and need to be monitored through prediction models. The development and …
to civilization and need to be monitored through prediction models. The development and …
Continuous radon monitoring during seven years of volcanic unrest at Campi Flegrei caldera (Italy)
This is a seven-year study (1/7/2011-31/12/2017) of radon monitoring at two sites of Campi
Flegrei caldera (Neaples, Southern Italy) that in the last 70 years experienced repeated …
Flegrei caldera (Neaples, Southern Italy) that in the last 70 years experienced repeated …
Analysis of geophysical and meteorological parameters influencing 222Rn activity concentration in Mladeč caves (Czech Republic) and in soils of Phlegrean Fields …
F Ambrosino, L Thinová, M Briestenský… - Applied Radiation and …, 2020 - Elsevier
The present work concerns a detailed analysis of Radon time series to differentiate
endogenous from exogenous phenomena which provide anomalous signals. Two-year data …
endogenous from exogenous phenomena which provide anomalous signals. Two-year data …
A comprehensive analysis and prediction of earthquake magnitude based on position and depth parameters using machine and deep learning models
Earthquake is one of the major natural disasters that not only costs human lives but also
leads to financial losses, which affect the country's economy. Earthquake Prediction is one of …
leads to financial losses, which affect the country's economy. Earthquake Prediction is one of …