Synchronized and Co-Located Ionospheric and Atmospheric Anomalies Associated with the 2023 Mw 7.8 Turkey Earthquake

Remote Sensing, Год журнала: 2024, Номер 16(2), С. 222 - 222

Опубликована: Янв. 5, 2024

Earth observations from remotely sensed data have a substantial impact on natural hazard surveillance, specifically for earthquakes. The rapid emergence of diverse earthquake precursors has led to the exploration different methodologies and datasets various satellites understand address complex nature precursors. This study presents novel technique detect ionospheric atmospheric using machine learning (ML). We examine multiple spatiotemporal in ionosphere atmosphere related Turkey 6 February 2023 (Mw 7.8), form total electron content (TEC), land surface temperature (LST), sea (SST), air pressure (AP), relative humidity (RH), outgoing longwave radiation (OLR), (AT). As confutation analysis, we also statistically observe parameters years 2021 2022 same epicentral region time period as earthquake. Moreover, aim this is find synchronized co-located window possible anomalies by providing more evidence with standard deviation (STDEV) nonlinear autoregressive network exogenous inputs (NARX) models. It noteworthy that both statistical ML methods demonstrate abnormal fluctuations within 7 days before impending over epicenter. Furthermore, geomagnetic are detected ninth day after (Kp > 4; Dst < −70 nT; ap 50 nT). indicates relevance support lithosphere–atmosphere–ionosphere coupling (LAIC) phenomenon.

Язык: Английский

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Ionospheric–Thermospheric Responses to Geomagnetic Storms from Multi-Instrument Space Weather Data

Remote Sensing, Год журнала: 2023, Номер 15(10), С. 2687 - 2687

Опубликована: Май 22, 2023

We analyze vertical total electron content (vTEC) variations from the Global Navigation Satellite System (GNSS) at different latitudes in continents of world during geomagnetic storms June 2015, August 2018, and November 2021. The resulting ionospheric perturbations low mid-latitudes are investigated terms prompt penetration electric field (PPEF), equatorial electrojet (EEJ), magnetic H component INTERMAGNET stations near equator. East Southeast Asia, Russia, Oceania exhibited positive vTEC disturbances, while South American showed negative disturbances all storms. also analyzed Swarm satellites found similar results to retrieved data 2015 2018 Moreover, we observed that plasma tended increase rapidly local afternoon main phase has opposite behavior nighttime. ionization anomaly (EIA) crest expansion higher is driven by PPEF daytime recovery phases exhibits longitudinal along with EEJ enhancement

Язык: Английский

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Atmospheric precursors associated with two Mw > 6.0 earthquakes using machine learning methods

Natural Hazards, Год журнала: 2024, Номер 120(8), С. 7871 - 7895

Опубликована: Март 26, 2024

Язык: Английский

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Machine-Learning-Based Lithosphere-Atmosphere-Ionosphere Coupling Associated with Mw > 6 Earthquakes in America

Atmosphere, Год журнала: 2023, Номер 14(8), С. 1236 - 1236

Опубликована: Июль 31, 2023

The identification of atmospheric and ionospheric variations through multiple remote sensing global navigation satellite systems (GNSSs) has contributed substantially to the development lithosphere-atmosphere-ionosphere coupling (LAIC) phenomenon over earthquake (EQ) epicenters. This study presents an approach for investigating Petrolia EQ (Mw 6.2; dated 20 December 2021) Monte Cristo Range 6.5; 15 May 2020) several parameters observe precursory signals various natures. These include Land Surface Temperature (LST), Air (AT), Relative Humidity (RH), Pressure (AP), Outgoing Longwave Radiations (OLRs), vertical Total Electron Content (TEC), these are used contribute LAIC in temporal window 30 days before after main shock. We observed a sharp increase LST both daytime nighttime EQ, but only enhancement within 3–7 Similarly, negative peak was RH along with increment OLR 5–7 prior impending EQs. Furthermore, also exhibited synchronized variation other parameters, no such co-located anomalies were EQ. applied machine learning (ML) methods confirm abrupt as further aid certain efforts order forecast EQs future. ML make prominent different data.

Язык: Английский

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Integrated Analysis of Multi-Parameter Precursors to the Fukushima Offshore Earthquake (Mj = 7.3) on 13 February 2021 and Lithosphere–Atmosphere–Ionosphere Coupling Channels

Atmosphere, Год журнала: 2024, Номер 15(8), С. 1015 - 1015

Опубликована: Авг. 21, 2024

The preparation phase of earthquakes (EQs) has been investigated by making full use multi-parameter and multi-layer observations EQ precursors, in order to better understand the lithosphere–atmosphere–ionosphere coupling (LAIC) process. For this purpose, we chose a specific target EQ, huge Fukushima-ken-oki on 13 February 2021 (magnitude Mj = 7.3). We initially reported precursors different physical parameters not only lithosphere, but also atmosphere ionosphere (Hayakawa et al. followed Akhoondzadeh Draz al., both based satellite observations). Our first two papers dealt with seven electromagnetic three layers (with emphasis our own ground-based lower ionosphere), while second paper Swarm magnetic field, electron density, GPS TEC ionosphere, third climatological above Earth’s surface (together TEC). have extensively reviewed all these results, coordinated temporal evolutions various relevant LAIC system; sought which hypothesis is more plausible explaining Then, came conclusion that possible channels seem exist simultaneously for EQ: fast channel (nearly simultaneous responses ground slow (or diffusion-type), time delay few several days, agent effects lithosphere lowest propagate up definite delay. Finally, suggested some research directions future elucidation channels, made comments an early warning system.

Язык: Английский

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Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses

Atmosphere, Год журнала: 2025, Номер 16(1), С. 88 - 88

Опубликована: Янв. 15, 2025

The purpose of this paper is to discuss the effect earthquake (EQ) preparation on changes in meteorological parameters. two physical quantities temperature (T)/relative humidity (Hum) and atmospheric chemical potential (ACP) have been investigated with use Japanese “open” data AMeDAS (Automated Meteorological Data Acquisition System), which a very dense “ground-based” network stations higher temporal spatial resolutions than satellite remote sensing open data. In order obtain clearer identification any seismogenic effect, we used station at local midnight (LT = 01 h) our initial target EQ was chosen be famous 1995 Kobe 17 January (M 7.3). Initially, performed conventional statistical analysis confidence bounds it found that (very close epicenter) exhibited conspicuous anomalies both parameters 10 1995, just one week before EQ, exceeding m (mean) + 3σ (standard deviation) T/Hum well above 2σ ACP within short-term window month weeks after an EQ. When looking whole period over year including day case only detected three additional extreme anomalies, except winter, but unknown origins. On other hand, anomalous peak largest for ACP. Further, distributions anomaly intensity presented using about 40 provide further support relationship has compared recent machine/deep learning methods. We utilized combinational NARX (Nonlinear Autoregressive model eXogenous inputs) Long Short-Term Memory (LSTM) models, successful objectively re-confirming same prior combination these results elucidates are considered notable precursor Finally, suggest joint examination their real prediction, as future lithosphere–atmosphere–ionosphere coupling (LAIC) studies information from bottom part LAIC.

Язык: Английский

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Multi-satellite based possible precursory signals detection linked to the 2024 Noto Peninsula Japan earthquake of Mw 7.5

Advances in Space Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

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A comprehensive study on the synchronized outgoing longwave radiation and relative humidity anomalies related to global Mw ≥ 6.5 earthquakes

Natural Hazards, Год журнала: 2023, Номер 120(2), С. 1421 - 1442

Опубликована: Окт. 27, 2023

Язык: Английский

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Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake

Advances in Space Research, Год журнала: 2023, Номер 73(1), С. 440 - 455

Опубликована: Окт. 4, 2023

Язык: Английский

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Machine Learning-Based Precursor Detection Using Seismic Multi-Parameter Data

Applied Sciences, Год журнала: 2024, Номер 14(6), С. 2401 - 2401

Опубликована: Март 13, 2024

The application of certain mathematical–statistical methods can quantitatively identify and extract the abnormal characteristics from observation data, comprehensive analysis seismic multi-parameters study judge risk tectonic regions better than a single parameter. In this study, machine learning-based detection using sliding extreme value relevancy method, based on earthquake-corresponding spectrum, was calculated in western Chinese mainland, R-value evaluation completed. Multi-parameter data included b value, M (missing earthquakes), ƞ (the relationship between magnitude frequency), D (seismic hazard), Mf (intensity factor), N (earthquake Rm (modulation parameter). temporal results showed that high-value anomalies appeared before most target earthquakes during training period. Moreover, some also occurred advantageous extrapolation period with anomalies. spatial months earthquakes, there indeed significant enhancement area near epicenter, anomaly gradually disappeared after earthquakes. This demonstrated learning techniques for detecting earthquake multi-parameter were feasible.

Язык: Английский

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