A novel approach for optimizing regional geoid modeling over rugged terrains based on global geopotential models and artificial intelligence algorithms DOI Creative Commons
Mohamed Elshewy,

Phung Trung Thanh,

Amr M. Elsheshtawy

и другие.

The Egyptian Journal of Remote Sensing and Space Science, Год журнала: 2024, Номер 27(4), С. 656 - 668

Опубликована: Сен. 19, 2024

Язык: Английский

Integrated Analysis of Multi-Parameter Precursors to the Fukushima Offshore Earthquake (Mj = 7.3) on 13 February 2021 and Lithosphere–Atmosphere–Ionosphere Coupling Channels DOI Creative Commons
Masashi Hayakawa, Y. Hobara

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

Процитировано

4

A novel approach for optimizing regional geoid modeling over rugged terrains based on global geopotential models and artificial intelligence algorithms DOI Creative Commons
Mohamed Elshewy,

Phung Trung Thanh,

Amr M. Elsheshtawy

и другие.

The Egyptian Journal of Remote Sensing and Space Science, Год журнала: 2024, Номер 27(4), С. 656 - 668

Опубликована: Сен. 19, 2024

Язык: Английский

Процитировано

1