Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Luigi Lombardo"'
Autor:
Ashok Dahal, Hakan Tanyas, P. Martin Mai, Mark van der Meijde, Cees van Westen, Luigi Lombardo
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-10 (2024)
Abstract Topographic amplification is caused by the interaction between seismic waves and rough terrains. It increases shaking levels on hilltops and could lead stable slopes to the brink of failure. However, its contribution to coseismic landslide o
Externí odkaz:
https://doaj.org/article/9b8489cd3e98471c82d2e5b51a5ca5b1
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Cryospheric hazards - in this case, thaw slumps (TS) and thermo-erosion gullies (TEG) - are phenomena typical of permafrost-dominated landscapes. Open datasets informing about their spatial, temporal and size distributions in the Arctic are
Externí odkaz:
https://doaj.org/article/713396ce65f04a13b65d54ad4ead6146
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104037- (2024)
There is an urgent need for accurate and effective Landslide Early Warning Systems (LEWS). Most LEWS are currently based on temporally-aggregated measures of rainfall derived from either in-situ measurements or satellite-based rainfall estimates. Rel
Externí odkaz:
https://doaj.org/article/fb850cf6892d4665a2429b960bb8cae2
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
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-11 (2024)
Abstract Seismic waves can shake mountainous landscapes, triggering thousands of landslides. Regional-scale landslide models primarily rely on shaking intensity parameters obtained by simplifying ground motion time-series into peak scalar values. Suc
Externí odkaz:
https://doaj.org/article/f4f309fb11bb489fa977ff4a00ab9585
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 126, Iss , Pp 103631- (2024)
The geoscientific community primarily focuses on predicting where landslides are likely to occur through data-driven susceptibility models. Recently, few researchers have turned to statistical estimation of landslide planimetric area within a given t
Externí odkaz:
https://doaj.org/article/0a9df97a6c244c2c9888cf8e67ade40d
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
Autor:
Marco Loche, Gianvito Scaringi, Ali P. Yunus, Filippo Catani, Hakan Tanyaş, William Frodella, Xuanmei Fan, Luigi Lombardo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract The patterns and controls of the transient enhanced landsliding that follows strong earthquakes remain elusive. Geostatistical models can provide clues on the underlying processes by identifying relationships with a number of physical variab
Externí odkaz:
https://doaj.org/article/1daadef51a4c4801a656f68f02c4cbea
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 115, Iss , Pp 103089- (2022)
The gully erosion susceptibility literature is largely dominated by contributions focused on model comparison. This has led to prioritize certain aspects and leave others underdeveloped as compared to other natural hazard applications. For instance,
Externí odkaz:
https://doaj.org/article/fa6f35684a374f3baa30241858b4fd25
Autor:
Giacomo Titti, Alessandro Sarretta, Luigi Lombardo, Stefano Crema, Alessandro Pasuto, Lisa Borgatti
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
In this study, a new tool for quantitative, data-driven susceptibility zoning (SZ) is presented. The SZ plugin has been implemented as a QGIS plugin to maximize its operational use within the geoscientific community. QGIS is in fact a commonly used o
Externí odkaz:
https://doaj.org/article/a6ca8c0e5ac64027a0066804b3bdd4bf