Space-based earth observations for disaster risk management

G Le Cozannet, M Kervyn, S Russo… - Surveys in …, 2020 - Springer
As space-based Earth observations are delivering a growing amount and variety of data, the
potential of this information to better support disaster risk management is coming into …

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 …

Anomalies prediction in radon time series for earthquake likelihood using machine learning-based ensemble model

AA Mir, FV Çelebi, H Alsolai, SA Qureshi… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification

KM Asim, A Idris, T Iqbal, F Martínez-Álvarez - Soil Dynamics and …, 2018 - Elsevier
In this study an earthquake predictor system is proposed by combining seismic indicators
along with Genetic Programming (GP) and AdaBoost (GP-AdaBoost) based ensemble …

Possible thermal anomalies associated with global terrestrial earthquakes during 2000–2019 based on MODIS-LST

M Shah, M Ehsan, A Abbas, A Ahmed… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
The recent advances in satellite-based earthquakes (EQs) precursors provide an
opportunity to correlate the seismic variation on lithosphere with atmosphere during the EQ …

Implication of radon monitoring for earthquake surveillance using statistical techniques: a case study of Wenchuan earthquake

A Alam, N Wang, G Zhao, A Barkat - Geofluids, 2020 - Wiley Online Library
The seismotectonically induced changes in groundwater radon (Rn) are considered to be
strong imputes for the surveillance of imminent major earthquakes. Groundwater facilitates …

A Multi-Network based Hybrid LSTM model for ionospheric anomaly detection: A case study of the Mw 7.8 Nepal earthquake

E Şentürk, M Saqib, MA Adil - Advances in Space Research, 2022 - Elsevier
Abstract We propose a Multi-Network-based Hybrid Long Short Term Memory (N-LSTM)
model for ionospheric anomaly detection to forecast highly irregular data of the ionospheric …

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 …

Analisis karakteristik kemampuan literasi sains konteks bencana gempa bumi mahasiswa pendidikan IPA pada domain pengetahuan prosedural dan epistemik

M Fadilah, A Permanasari, R Riandi… - JIPI (Jurnal IPA dan …, 2020 - jurnal.usk.ac.id
Tipikal struktur geologi Sumatera Barat menyebabkan tingginya resiko gempa bumi. Oleh
sebab itu, kemampuan literasi sains konteks bencana (LSKB) perlu dikembangkan pada …

First seasonal and annual variations of atmospheric electric field at a subtropical station in Islamabad, Pakistan

SF Gurmani, N Ahmad, J Tacza, T Iqbal - Journal of Atmospheric and Solar …, 2018 - Elsevier
The variation of the atmospheric electric field from the ground is analyzed by using an
electric field mill sensor for Islamabad, Pakistan. The first early results of atmospheric electric …