Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Daniela Castro-Camilo"'
Publikováno v:
Environmetrics. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::279a42d411e5307c61f514e86d792be5
https://doi.org/10.1002/env.2742
https://doi.org/10.1002/env.2742
Autor:
Mariano Di Napoli, Hakan Tanyas, Daniela Castro-Camilo, Domenico Calcaterra, Andrea Cevasco, Diego Di Martire, Giacomo Pepe, Pierluigi Brandolini, Luigi Lombardo
Maps that attempt to predict landslide occurrences have essentially stayed the same since Brabb, E.E., Pampeyan, E.H. and Bonilla, M.G. (1972) Landslide susceptibility in San Mateo County, California (No. 360), US Geological Survey. The tools have ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c4c96085f203e7ce6bff2372f078ffb
https://doi.org/10.31223/x52d1j
https://doi.org/10.31223/x52d1j
Publikováno v:
Stochastic environmental research and risk assessment, 36(8), 2071-2084. Springer
Climatically-induced natural hazards are a threat to communities. They can cause life losses and heavy damage to infrastructure, and due to climate change, they have become increasingly frequent. This is especially in tropical regions, where major hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be5892ba04e5daca485baf4fb9e8de46
https://doi.org/10.21203/rs.3.rs-1030905/v1
https://doi.org/10.21203/rs.3.rs-1030905/v1
A Spliced Gamma-Generalized Pareto Model for Short-Term Extreme Wind Speed Probabilistic Forecasting
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics. 24:517-534
Renewable sources of energy such as wind power have become a sustainable alternative to fossil fuel-based energy. However, the uncertainty and fluctuation of the wind speed derived from its intermittent nature bring a great threat to the wind power p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::824fa3a10791ebf836fb8d1eabad0418
https://doi.org/10.1007/s13253-019-00369-z
https://doi.org/10.1007/s13253-019-00369-z
Publikováno v:
Journal of Agricultural Biological and Environmental Statistics
A new method is proposed for modelling the yearly maxima of sub-daily precipitation, with the aim of producing spatial maps of return level estimates. Yearly precipitation maxima are modelled using a Bayesian hierarchical model with a latent Gaussian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1a0123c05053134d2105803c9896125
http://arxiv.org/abs/2105.09062
http://arxiv.org/abs/2105.09062
Publikováno v:
Extremes
Extremes, Springer Verlag (Germany), 2021, 24 (1), pp.105-128. ⟨10.1007/s10687-020-00394-z⟩
Extremes, Springer Verlag (Germany), 2021, 24 (1), pp.105-128. ⟨10.1007/s10687-020-00394-z⟩
International audience; We develop a method for probabilistic prediction of extreme value hot-spots in a spatio-temporal framework, tailored to big datasets containing important gaps. In this setting, direct calculation of summaries from data, such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33110e372e6714a6ce463a57b93efd2a
https://hal.inrae.fr/hal-03165040
https://hal.inrae.fr/hal-03165040
The standard definition of landslide hazard requires the estimation of where, when (or how frequently) and how large a given landslide event may be. The geomorphological community involved in statistical models has addressed the component pertaining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73af1503faba095195be0de4e6d4c0cb
https://doi.org/10.31223/x5ww3k
https://doi.org/10.31223/x5ww3k
Publikováno v:
Engineering geology, 293:106288, 1-28. Elsevier
The standard definition of landslide hazard requires the estimation of where, when (or how frequently) and how large a given landslide event may be. The geoscientific community involved in statistical models has addressed the component pertaining to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a806ff56d192f41fc6b5903301e1ada
https://doi.org/10.1016/j.enggeo.2021.106288
https://doi.org/10.1016/j.enggeo.2021.106288
Publikováno v:
Environmental Modelling & Software. 97:145-156
Grid-based landslide susceptibility models at regional scales are computationally demanding when using a fine grid resolution. Conversely, Slope-Unit (SU) based susceptibility models allows to investigate the same areas offering two main advantages:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b16784ca064a75b882d2245f9a37b2d
https://doi.org/10.1016/j.envsoft.2017.08.003
https://doi.org/10.1016/j.envsoft.2017.08.003
Publikováno v:
Engineering geology, 260:105237. Elsevier
Thousands or even million of pixels can be contained in a single Slope Unit. Hence, each covariate used in spatial predictive models is characterized by a distribution of values for each Slope Unit. Here, we model the whole covariates' distribution w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34c31398fece2623d24d2e0016639453
https://eprints.gla.ac.uk/195444/7/195444.pdf
https://eprints.gla.ac.uk/195444/7/195444.pdf