Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Hakan Tanyas"'
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-14 (2024)
Abstract The weakening of hillslopes during strong earthquakes increases landsliding rates in post-seismic periods. However, very few studies have addressed the amount of coseismic reduction in shear strength of hillslope materials. This makes estima
Externí odkaz:
https://doaj.org/article/cbe3c0b2f2b24d4b98fa5d3fe93d5ab1
Autor:
Mahnoor Ahmed, Hakan Tanyas, Raphaël Huser, Ashok Dahal, Giacomo Titti, Lisa Borgatti, Mirko Francioni, Luigi Lombardo
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103593- (2023)
The initial inception of the landslide susceptibility concept defined it as a static property of the landscape, explaining the proneness of certain locations to generate slope failures. Since the spread of data-driven probabilistic solutions though,
Externí odkaz:
https://doaj.org/article/926836b2260749f9a537857947328a64
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/15aae63228f345b0b76273f320b90a1f
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4357 (2022)
Rapid and accurate identification of landslides is an essential part of landslide hazard assessment, and in particular it is useful for land use planning, disaster prevention, and risk control. Recent alternatives to manual landslide mapping are movi
Externí odkaz:
https://doaj.org/article/7567c9eb9ba04778b53ce87cd9e60ebf
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1321 (2022)
To understand the factors that make certain areas especially prone to landslides, statistical approaches are typically used. The interpretation of statistical results in areas characterised by complex geological and geomorphological patterns can be c
Externí odkaz:
https://doaj.org/article/5bab4331c5f24fefac6aa8d792a94ad1
Publikováno v:
Stochastic environmental research and risk assessment, 36(8), 2031-2048. Springer
For more than three decades, the part of the geoscientific community studying landslides through data-driven models has focused on estimating where landslides may occur across a given landscape. This concept is widely known as landslide susceptibilit
Autor:
Tolga Gorum, Hakan Tanyas
A devastating earthquake sequence occurred on February 6, 2023, within the East Anatolian fault system. Two main shocks, the Mw 7.7 Sofalaca-Şehitkamil-Gaziantep, and Mw 7.6 Ekinözü-Kahramanmaraş earthquakes occurred nine hours apart and affected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68e74fa04859e9506f5fb021e6c2441a
https://doi.org/10.5194/egusphere-egu23-17606
https://doi.org/10.5194/egusphere-egu23-17606
Publikováno v:
Remote sensing of environment, 289:113518. Elsevier
Spatiotemporal patterns of earth surface deformation are influenced by a combination of the geologic, topographic, seismic, anthropogenic, meteorological and climatic conditions specific to any landscape of interest. These have been mostly modelled t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::950903b7d444acc5b51cc7974dce4f1b
https://research.utwente.nl/en/publications/684472aa-5824-4969-b8fb-9b658ead8c4c
https://research.utwente.nl/en/publications/684472aa-5824-4969-b8fb-9b658ead8c4c
Publikováno v:
Landslides, 19(6), 1405-1420. Springer
On November 14, 2016, the northeastern South Island of New Zealand was hit by the magnitude Mw 7.8 Kaikōura earthquake, which is characterized by the most complex rupturing mechanism ever recorded. The widespread landslides triggered by the earthqua
Autor:
Hakan Tanyas, Kun He, Nitheshnirmal Sadhasivam, Luigi Lombardo, Ling Chang, Zhice Fang, Ashok Dahal, Islam Fadel, Xiewen Hu, Gang Luo
Publikováno v:
EGU General Assembly 2023
Strong earthquakes not only induce co-seismic mass wasting but also exacerbates the shear strength of hillslope materials and cause higher landslide susceptibility in the subsequent years following the earthquake. Previous studies have mainly investi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a79eda64b5eeac3536e3ed33ff72833
https://doi.org/10.5194/egusphere-egu23-14415
https://doi.org/10.5194/egusphere-egu23-14415