Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Margherita Maraschini"'
Autor:
Maria Katherina Dal Barco, Davide Mauro Ferrario, Margherita Maraschini, Ngoc Diep Nguyen, Remi Harris, Stefania Gottardo, Emma Tosarin, Sebastiano Vascon, Silvia Torresan, Andrea Critto
The analysis of extreme events that occurred in the last decades shows that these are often generated by multiple hazards, whose interactions are still to be fully understood. Moreover, the observation of their temporal trend suggests that their freq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44055aa996d3681288927a49f7a07754
https://doi.org/10.5194/egusphere-egu23-8120
https://doi.org/10.5194/egusphere-egu23-8120
In the last years there has been a growing interest around Machine Learning (ML) in climate risk/ multi-risk assessment, steered mainly by the growing amount of data available and the reduction of associated computational costs. Extracting informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea2e61325b04efee94046817297d2a03
https://doi.org/10.5194/egusphere-egu22-6568
https://doi.org/10.5194/egusphere-egu22-6568
Autor:
Margherita Maraschini, S. Grion
Publikováno v:
Proceedings.
Summary A blended dataset is nothing but an unblended dataset generated by a blended source, and if the source signature of this blended source is known, the dataset can be de-blended by deconvolution. This paper illustrates a new methodology that us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0c040756435b673a84c6c9b0a3b4e6b
https://doi.org/10.3997/2214-4609.201701367
https://doi.org/10.3997/2214-4609.201701367
Publikováno v:
SEG Technical Program Expanded Abstracts 2016.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecb68e6a3eff4ce802f859891da57261
https://doi.org/10.1190/segam2016-13685251.1
https://doi.org/10.1190/segam2016-13685251.1
Autor:
Valentina Socco, Eiliv Skomedal, Maarten Vanneste, Margherita Maraschini, Daniele Boiero, Harald Westerdahl, Kenneth Duffaut, C. Madshus
Publikováno v:
Geophysical Journal International. 185:237-252
SUMMARY Seismic data generated by a novel, seabed-coupled, shear-wave vibrator (prototype) and recorded by a densely-populated, multicomponent ocean-bottom cable allowed several modes of propagation of Love and Scholte waves to be retrieved in a rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a96fa1544e44a652951b408d7225d58f
https://doi.org/10.1111/j.1365-246x.2011.04961.x
https://doi.org/10.1111/j.1365-246x.2011.04961.x
Autor:
Valentina Socco, Harald Westerdahl, Margherita Maraschini, Kenneth Duffaut, Eiliv Skomedal, Maarten Vanneste, Per M. Sparrevik, C. Madshus, Tore I. Bjørnarå
Publikováno v:
Geophysical Journal International. 185:221-236
SUMMARY Pure shear wave data are only very rarely acquired for offshore site investigations and exploration. Here, we present details of a novel, seabed-coupled, shear wave vibrator and field data recorded by a densely populated, multicomponent ocean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d35951e1529e945347b13115a8835b4b
https://doi.org/10.1111/j.1365-246x.2011.04960.x
https://doi.org/10.1111/j.1365-246x.2011.04960.x
Autor:
Margherita Maraschini, Sebastiano Foti
Publikováno v:
Geophysical Journal International. 182:1557-1566
SUMMARY The analysis of surface wave propagation is often used to estimate the S-wave velocity profile at a site. In this paper, we propose a stochastic approach for the inversion of surface waves, which allows apparent dispersion curves to be invert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a0696099f25cd567519f1f920cc8c14
https://doi.org/10.1111/j.1365-246x.2010.04703.x
https://doi.org/10.1111/j.1365-246x.2010.04703.x
Publikováno v:
Proceedings.
The potential to cut acquisition time and cost continues to create interest for simultaneous shooting. Many synthetically blended datasets have been generated to validate the viability of such an approach. This paper presents results from a broadband
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2156044611e9d85a8a88e6342403e19e
https://doi.org/10.3997/2214-4609.20141459
https://doi.org/10.3997/2214-4609.20141459
Autor:
Margherita Maraschini, Neill Turton
Publikováno v:
SEG Technical Program Expanded Abstracts 2013.
Summary Attribute analysis plays an important role in the interpretation of seismic data. In this paper we will demonstrate how our modified Non-Local-Means random noise attenuator is capable of enhancing the coherency attribute. We do this by compar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80359c9d7bd65b3810d3b7c7f35d7ed9
https://doi.org/10.1190/segam2013-0569.1
https://doi.org/10.1190/segam2013-0569.1
Publikováno v:
SEG Technical Program Expanded Abstracts 2012.
Summary Blended acquisition is an important concept because it offers the unusual economic prospect of higher quality (increased sampling) at a reduced cost (shorter acquisition time). The technique consists of activating two or more sources almost s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45ea4f914c4619188661133347fd9769
https://doi.org/10.1190/segam2012-0675.1
https://doi.org/10.1190/segam2012-0675.1