Zobrazeno 1 - 10
of 835
pro vyhledávání: '"FWI"'
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
To obtain more accurate full waveform inversion results, we present a forward modeling method with minimal phase error, low numerical dispersion, and high computational efficiency. To solve the 2D acoustic wave equation, we utilize a finite-differenc
Externí odkaz:
https://doaj.org/article/265cfa8c700a4050bb852cda2e978391
Autor:
Liujun Xie, Bo Wang, Yifan Wang, Jinwei Fang, Linfeng Zeng, Guoxu Xin, Sihongren Shen, Zilong She
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
The occurrence of major accidents such as water inrush in coal mines and coal-gas outbursts is closely correlated with the unclear exploration of underground geological structures. Seismic exploration in underground coal mines is not limited by groun
Externí odkaz:
https://doaj.org/article/5611adf7a17e46cb9f2d3c19207e4ab0
Publikováno v:
Fire, Vol 7, Iss 10, p 346 (2024)
Forest fire is one of the dominant disturbances in the forests of Heilongjiang Province, China, and is one of the most rapid response predictors that indicate the impact of climate change on forests. This study calculated the Canadian FWI (Fire Weath
Externí odkaz:
https://doaj.org/article/fca9657b207a429fae27bb4e804ac284
Publikováno v:
Underground Space, Vol 11, Iss , Pp 116-129 (2023)
Determining the location and boundary of underground obstructions and/or anomalies is a common problem and often a great challenge for tunneling and underground construction. In this study, geotechnical investigations (penetration tests and borehole
Externí odkaz:
https://doaj.org/article/c948f7d082224ba69edd60bb4723e7e1
Publikováno v:
Fire, Vol 7, Iss 4, p 151 (2024)
With the development of image processing technology and video analysis technology, forest fire monitoring technology based on video recognition is more and more important in the field of forest fire prevention and control. The objects currently appli
Externí odkaz:
https://doaj.org/article/612a493d04004a6fa59602faceddb1e0
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 3, p 74 (2024)
The Mediterranean region experiences the annual destruction of thousands of hectares due to climatic conditions. This study examines forest fires in Türkiye’s Antalya region, a Mediterranean high-risk area, from 2000 to 2023, analyzing 26 fires th
Externí odkaz:
https://doaj.org/article/f290da9a21964c878e981cbc2f2fbc11
Autor:
Lucie Kudláčková, Lenka Bartošová, Rostislav Linda, Monika Bláhová, Markéta Poděbradská, Milan Fischer, Jan Balek, Zdeněk Žalud, Miroslav Trnka
Publikováno v:
Environmental Research Letters, Vol 20, Iss 1, p 013001 (2024)
Fire weather indices are one of the basic components of any fire danger early warning system. The Canadian Fire Weather Index (FWI) was developed to indicate the danger due to wildfires in boreal and temperate forests in Canada in the second half of
Externí odkaz:
https://doaj.org/article/8bc72814466a4bc0abea15421f4efb00
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 243 (2024)
A full-waveform inversion (FWI) of ground-penetrating radar (GPR) data can be used to effectively obtain the parameters of a shallow subsurface. Introducing the Markov chain Monte Carlo (MCMC) algorithm into the FWI can reduce the dependence on the i
Externí odkaz:
https://doaj.org/article/ccf67e8fca8349ed89e5b059648bf988
Autor:
Izzatullah, Muhammad
Probabilistic inference, especially in the Bayesian framework, is a foundation for quantifying uncertainties in geophysical inversion applications. However, due to the presence of high-dimensional datasets and the large-scale nature of geophysical in
Externí odkaz:
http://hdl.handle.net/10754/691831
