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890 results on '"Rossi, Mauro"'

11. Rockfall susceptibility and network-ranked susceptibility along the Italian railway

Author

Alvioli, Massimiliano, Santangelo, Michele, Fiorucci, Federica, Cardinali, Mauro, Marchesini, Ivan, Reichenbach, Paola, Rossi, Mauro, Guzzetti, Fausto, and Peruccacci, Silvia

Subjects
Physics - Physics and Society, Physics - Geophysics
Abstract

Rockfalls pose a substantial threat to ground transportation, due to their rapidity, destructive potential and high probability of occurrence on steep topographies, found along roads and railways. Approaches for assessment of rockfall susceptibility range from purely phenomenological methods and statistical methods, suitable for modeling large areas, to purely deterministic ones, usually easier to use in local analyses. A common requirement is the need to locate potential detachment points, often found uphill on cliffs, and the subsequent assessment of the runout areas of rockfalls stemming from such points. Here, we apply a physically based model to calculate rockfall trajectories along the whole Italian railway network, within a corridor of total length of about 17,000 km and varying width. We propose a data-driven method for the location of rockfall source points based on expert mapping of potential source areas on sample representative locations. Using empirical distributions of gridded slope values in source areas mapped by experts, we derived probabilistic maps of rockfall sources in the proximity of the railway network, regardless of a particular trigger. Source areas act as starting points of simulated trajectories in the three-dimensional model STONE. The program provides a pixel-by-pixel trajectory count, covering 24,500 km2, the largest homogeneous application of the model to date. We classified the map into a vector susceptibility map of the segments of the railway, for which we provide segment-wise rockfall susceptibility. Eventually, we considered a graph representation of the network to classify the segments both on the basis of rockfall susceptibility and the role of each segment in the network, resulting in a network-ranked susceptibility. Both maps are useful for subsequent hazard assessment, and to prioritize safety improvements along the railway, at national scale., Comment: 22 pages, 9 figures, 6 tables. Published version

Published
2021
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12. Application of LAND-SUITE for Landslide Susceptibility Modelling Using Different Mapping Units: A Case Study in Croatia

Author

Bernat Gazibara, Sanja, Sinčić, Marko, Rossi, Mauro, Reichenbach, Paola, Krkač, Martin, Lukačić, Hrvoje, Jagodnik, Petra, Šarić, Gabrijela, Mihalić Arbanas, Snježana, Sassa, Kyoji, Series Editor, Konagai, Kazuo, Series Editor, Sassa, Shinji, Series Editor, Alcántara-Ayala, Irasema, editor, Arbanas, Željko, editor, Huntley, David, editor, Mihalić Arbanas, Snježana, editor, Mikoš, Matjaž, editor, V. Ramesh, Maneesha, editor, Tang, Huiming, editor, and Tiwari, Binod, editor

Published
2023
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20. ‘Emotions’ in Gopal Sreenivasan's Emotion and Virtue.

Author

Rossi, Mauro

Subjects
*EMOTIONS, *JUDGES, *VIRTUE, *VIRTUES, *ARGUMENT, *PERSONAL property, *WISHES
Abstract

In his remarkable new book, Emotion and Virtue, Sreenivasan defends the view that, in the case of many virtues, in order for an exemplar of each of these virtues to be a reliable judge of what that virtue requires in specific circumstances, she must possess a particular, morally rectified, emotional trait. In this article, I raise two challenges to “the argument from salience” that Sreenivasan offers in favor of this view. First, I argue that, although Sreenivasan wishes to remain neutral about different philosophical theories of emotions, the success of his argument depends, in fact, on the outcome of the debate about the nature of emotions. Second, I challenge the central claim of Sreenivasan's argument from salience, namely, that the possession of a morally rectified emotional trait, cleverness, and supplementary moral knowledge is sufficient to explain an agent's ability to reliably judge what a given virtue requires in specific circumstances. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Factors Affecting Gully-Head Activity in a Hilly Area Under a Semiarid Climate in Iran

Author

Kariminejad, Narges, Hosseinalizadeh, Mohsen, Pourghasemi, Hamid Reza, Ownegh, Majid, Rossi, Mauro, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, O. Gawad, Iman, Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Shit, Pravat Kumar, editor, Pourghasemi, Hamid Reza, editor, and Bhunia, Gouri Sankar, editor

Published
2020
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28. Measuring, modelling and managing gully erosion at large scales: A state of the art

Author

Vanmaercke, Matthias, Panagos, Panos, Vanwalleghem, Tom, Hayas, Antonio, Foerster, Saskia, Borrelli, Pasquale, Rossi, Mauro, Torri, Dino, Casali, Javier, Borselli, Lorenzo, Vigiak, Olga, Maerker, Michael, Haregeweyn, Nigussie, De Geeter, Sofie, Zgłobicki, Wojciech, Bielders, Charles, Cerdà, Artemi, Conoscenti, Christian, de Figueiredo, Tomás, Evans, Bob, Golosov, Valentin, Ionita, Ion, Karydas, Christos, Kertész, Adam, Krása, Josef, Le Bouteiller, Caroline, Radoane, Maria, Ristić, Ratko, Rousseva, Svetla, Stankoviansky, Milos, Stolte, Jannes, Stolz, Christian, Bartley, Rebecca, Wilkinson, Scott, Jarihani, Ben, and Poesen, Jean

Published
2021
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32. QPACE 2 and Domain Decomposition on the Intel Xeon Phi

Author

Arts, Paul, Bloch, Jacques, Georg, Peter, Glaessle, Benjamin, Heybrock, Simon, Komatsubara, Yu, Lohmayer, Robert, Mages, Simon, Mendl, Bernhard, Meyer, Nils, Parcianello, Alessio, Pleiter, Dirk, Rappl, Florian, Rossi, Mauro, Solbrig, Stefan, Tecchiolli, Giampietro, Wettig, Tilo, and Zanier, Gianpaolo

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, High Energy Physics - Lattice, Physics - Computational Physics
Abstract

We give an overview of QPACE 2, which is a custom-designed supercomputer based on Intel Xeon Phi processors, developed in a collaboration of Regensburg University and Eurotech. We give some general recommendations for how to write high-performance code for the Xeon Phi and then discuss our implementation of a domain-decomposition-based solver and present a number of benchmarks., Comment: plenary talk at Lattice 2014, to appear in the conference proceedings PoS(LATTICE2014), 15 pages, 9 figures

Published
2015

33. Comparison of conditioning factors classification criteria in large scale statistically based landslide susceptibility models.

Author

Sincic, Marko, Gazibara, Sanja Bernat, Rossi, Mauro, and Arbanas, Snjezana Mihalic

Subjects
LANDSLIDE hazard analysis, LANDSLIDES, URBAN planning, CLASSIFICATION
Abstract

The large scale landslide susceptibility assessment (LSA) is an important tool for reducing landslide risk through the application of resulting maps in spatial and urban planning. The existing literature more often deals with LSA modelling techniques and the scientific research very rarely focuses on acquiring relevant thematic and landslide data, necessary to achieve reliable results. Therefore, the paper focuses on the crucial step of classifying continuous landslide conditioning factors for susceptibility modelling by presenting an innovative comprehensive analysis that resulted in 54 landslide susceptibility models to test 11 classification criteria (scenarios which vary from stretched values, partially stretched classes, heuristic approach, classification based on studentized contrast and landslide presence, and commonly used classification criteria, such as Natural Neighbor, Quantiles and Geometrical intervals) in combination with five statistical methods. The large scale landslide susceptibility models were derived for small and shallow landslides in the pilot area (21 km2) located in the City of Zagreb (Croatia), which occur mainly in soils and soft rocks. Some of the novelties in LSA are the following: scenarios using stretched landslide conditioning factor values or classification with more than 10 classes prove more reliable; certain statistical methods are more sensitive to the landslide conditioning factor classification criteria than others; all the tested machine learning methods give the best landslide susceptibility model performance using continuously stretched landslide conditioning factors derived from high-resolution input data. The research highlights the importance of qualitative assessments, alongside commonly used quantitative metrics, to verify spatial accuracy and to test the applicability of derived landslide susceptibility maps for spatial planning purposes. [ABSTRACT FROM AUTHOR]

Published
2024
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45. TXT-tool 2.039-1.1 Italian National Early Warning System

Author

Rossi, Mauro, Marchesini, Ivan, Tonelli, Gabriele, Peruccacci, Silvia, Brunetti, Maria Teresa, Luciani, Silvia, Ardizzone, Francesca, Balducci, Vinicio, Bianchi, Cinzia, Cardinali, Mauro, Fiorucci, Federica, Mondini, Alessandro Cesare, Reichenbach, Paola, Salvati, Paola, Santangelo, Michele, Guzzetti, Fausto, Sassa, Kyoji, editor, Guzzetti, Fausto, editor, Yamagishi, Hiromitsu, editor, Arbanas, Željko, editor, Casagli, Nicola, editor, McSaveney, Mauri, editor, and Dang, Khang, editor

Published
2018
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