Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Ugur Ozturk"'
Autor:
Kushanav Bhuyan, Kamal Rana, Joaquin V. Ferrer, Fabrice Cotton, Ugur Ozturk, Filippo Catani, Nishant Malik
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract The death toll and monetary damages from landslides continue to rise despite advancements in predictive modeling. These models’ performances are limited as landslide databases used in developing them often miss crucial information, e.g., u
Externí odkaz:
https://doaj.org/article/16b0cd258bc0433abf6c8dc3a76bb7c8
Autor:
Ugur Ozturk, Yalelet Alemnew Tarakegn, Laura Longoni, Davide Brambilla, Monica Papini, Jürgen Jensen
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 7, Iss 4, Pp 1406-1425 (2016)
Early-warning systems (EWSs) are crucial to reduce the risk of landslide, especially where the structural measures are not fully capable of preventing the devastating impact of such an event. Furthermore, designing and successfully implementing a com
Externí odkaz:
https://doaj.org/article/63cdbe5013344b0fb8381668cb096914
Autor:
Chiara Hauser, Alexander R. Beer, Clemens Gacmenga, Ugur Ozturk, Michael Dietze, Rainer Bell, Ana Lucía
Publikováno v:
Abstracts
On 14th and 15th July 2021 heavy rainfall in western Germany, Belgium and the Netherlands caused severe floodings. The most affected area in Germany was the 86 km long Ahr river valley, which suffered from severe damage to buildings and infrastructur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::049c53fe19693a5035b39e26411f5adb
https://doi.org/10.5194/egusphere-egu23-14976
https://doi.org/10.5194/egusphere-egu23-14976
Publikováno v:
Abstracts
The accuracy of landslide hazard models depends on landslide databases for model training and testing. Landslide databases frequently lack information on the underlying triggering mechanism (i.e., earthquake, rainfall), rendering them nearly useless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc47edbcb88d1ee9e2b50b49e4ea5a80
https://doi.org/10.5194/egusphere-egu23-1131
https://doi.org/10.5194/egusphere-egu23-1131
Publikováno v:
Sādhanā. 48
Publikováno v:
Natural Hazards and Earth System Sciences (NHESS)
Landslide hazard models aim at mitigating landslide impact by providing probabilistic forecasting, and the accuracy of these models hinges on landslide databases for model training and testing. Landslide databases at times lack information on the und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23bf5d5897041ff98298cc627a0a228b
https://nhess.copernicus.org/articles/22/3751/2022/
https://nhess.copernicus.org/articles/22/3751/2022/
Autor:
Huseyin Ugur Ozturk
Publikováno v:
Journal For International Medical Graduates. 1
Neurologic and psychiatric diseases represent a huge health burden, as they impact many individuals worldwide irrespective of social class or age. Evidence suggests that these disorders represent approximately 12% of diseases globally. Human and anim
The river morphologies and the associated landscape experience considerable changes in response to landslides and floods. The young and tectonically active Himalayan region is more prone to such natural hazards. The impacts of climate change and anth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9377613fc8dd44b06fd878f4a18cea1
https://doi.org/10.5194/egusphere-egu22-4284
https://doi.org/10.5194/egusphere-egu22-4284
Autor:
Ugur Ozturk
Publikováno v:
Abstracts
Multivariate logistic regression models are the most popular in estimating landslide susceptibility by assessing various landslide causes—covariates—in mapped landslides or hindcasting landslides by including landslide triggering information such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c3ce48e7fb16515a6fd8c75da4210ca
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5012005
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5012005
Autor:
Ugur Ozturk, Elisa Bozzolan, Elizabeth A. Holcombe, Roopam Shukla, Francesca Pianosi, Thorsten Wagener
Publikováno v:
Nature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed787a27b73e2a319c8680af48d51e7d
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013015
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013015