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1. |
Record Nr. |
UNINA990007101540403321 |
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Autore |
Costanzo, Salvatore |
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Titolo |
Il Piano Domitio : progetto di recupero ambientale e riqualificazione urbanistica / Salvatore Costanzo, Paolo Farina |
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ISBN |
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Descrizione fisica |
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Altri autori (Persone) |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNISOBSOB004415 |
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Autore |
Brondsted, Johannes |
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Titolo |
I Vichinghi / Johannes Brondsted ; a cura di Adele Cipolla |
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Pubbl/distr/stampa |
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Torino, : Einaudi, [2001] |
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ISBN |
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Edizione |
[Nuova ed.] |
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Descrizione fisica |
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XLII, 338 p. : ill. ; 19 cm |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910141446203321 |
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Autore |
Rocquigny Etienne de |
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Titolo |
Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods / / Etienne de Rocquigny |
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Pubbl/distr/stampa |
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Chichester, West Sussex, U.K., : Wiley, 2012 |
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ISBN |
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9786613619044 |
9781119941651 |
1119941652 |
9781280589218 |
1280589213 |
9781119969501 |
1119969506 |
9781119969495 |
1119969492 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (484 p.) |
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Collana |
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Wiley series in probability and statistics |
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Classificazione |
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Disciplina |
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Soggetti |
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Industrial management - Mathematical models |
Uncertainty - Mathematical models |
Risk management - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods; Contents; Preface; Acknowledgements; Introduction and reading guide; Notation; Acronyms and abbreviations; 1 Applications and practices of modelling, risk and uncertainty; 1.1 Protection against natural risk; 1.1.1 The popular 'initiator/frequency approach'; 1.1.2 Recent developments towards an 'extended frequency approach'; 1.2 Engineering design, safety and structural reliability analysis (SRA); 1.2.1 The domain of structural reliability |
1.2.2 Deterministic safety margins and partial safety factors1.2.3 Probabilistic structural reliability analysis; 1.2.4 Links and differences with natural risk studies; 1.3 Industrial safety, system reliability and probabilistic risk assessment (PRA); 1.3.1 The context of systems analysis; 1.3.2 Links and differences with structural reliability analysis; 1.3.3 The case of elaborate PRA (multi-state, dynamic); 1.3.4 Integrated probabilistic risk assessment (IPRA); 1.4 Modelling under uncertainty in metrology, environmental/sanitary assessment and numerical analysis |
1.4.1 Uncertainty and sensitivity analysis (UASA)1.4.2 Specificities in metrology/industrial quality control; 1.4.3 Specificities in environmental/health impact assessment; 1.4.4 Numerical code qualification (NCQ), calibration and data assimilation; 1.5 Forecast and time-based modelling in weather, operations research, economics or finance; 1.6 Conclusion: The scope for generic modelling under risk and uncertainty; 1.6.1 Similar and dissimilar features in modelling, risk and uncertainty studies; 1.6.2 Limitations and challenges motivating a unified framework; References |
2 A generic modelling framework2.1 The system under uncertainty; 2.2 Decisional quantities and goals of modelling under risk and uncertainty; 2.2.1 The key concept of risk measure or quantity of interest; 2.2.2 Salient goals of risk/uncertainty studies and decision-making; 2.3 Modelling under uncertainty: Building separate system and uncertainty models; 2.3.1 The need to go beyond direct statistics; 2.3.2 Basic system models; 2.3.3 Building a direct uncertainty model on variable inputs; 2.3.4 Developing the underlying epistemic/aleatory structure; 2.3.5 Summary |
2.4 Modelling under uncertainty - the general case2.4.1 Phenomenological models under uncertainty and residual model error; 2.4.2 The model building process; 2.4.3 Combining system and uncertainty models into an integrated statistical estimation problem; 2.4.4 The combination of system and uncertainty models: A key information choice; 2.4.5 The predictive model combining system and uncertainty components; 2.5 Combining probabilistic and deterministic settings; 2.5.1 Preliminary comments about the interpretations of probabilistic uncertainty models |
2.5.2 Mixed deterministic-probabilistic contexts |
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Sommario/riassunto |
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"This volume addresses a concern of very high relevance and growing interest for large industries or environmentalists: risk and uncertainty in complex systems. It gives new insight on the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis, focusing on implementing decision theory choices |
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related to risk and uncertainty analysis through statistical estimation and computation, in the presence of physical modeling and risk analysis. The result will lead statisticians and associated professionals to formulate and solve new challenges at the frontier between statistical modeling, physics, scientific computing, and risk analysis"-- |
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4. |
Record Nr. |
UNINA9911019585403321 |
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Titolo |
Magma to microbe : modeling hydrothermal processes at ocean spreading centers / / Robert P. Lowell ... [et al.], editors |
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Pubbl/distr/stampa |
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Washington, D.C., : American Geophysical Union, c2008 |
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ISBN |
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1-118-66635-6 |
1-118-67257-7 |
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Descrizione fisica |
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1 online resource (295 p.) |
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Collana |
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Geophysical monograph ; ; 178 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Hydrothermal circulation (Oceanography) - Mathematical models |
Seawater - Thermodynamics - Mathematical models |
Hydrothermal vents - Microbiology |
Mid-ocean ridges |
Sea-floor spreading |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Title Page; Contents; Preface; Modeling Hydrothermal Processes at Ocean Spreading Centers: Magma to Microbe-An Overview; Modeling Multiphase, Multicomponent Processes at Oceanic Spreading Centers; The Supply of Heat to Mid-Ocean Ridges by Crystallization and Cooling of Mantle Melts; Seismological Constraints on Magmatic and Hydrothermal Processes at Mid-Ocean Ridges; Modeling Hydrothermal Response to Earthquakes at Oceanic Spreading Centers; The Chemistry of Diffuse-Flow Vent Fluids on the Galapagos Rift |
Hydrothermal Fluid Composition at Middle Valley, Northern Juan de Fuca Ridge: Temporal and Spatial VariabilityReactive Transport and Numerical Modeling of Seafloor Hydrothermal Systems: A Review; |
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Observational, Experimental, and Theoretical Constraints on Carbon Cycling in Mid-Ocean Ridge Hydrothermal Systems; Modeling the Impact of Diffuse Vent Microorganisms Along Mid-Ocean Ridges and Flanks; Magma-to-Microbe Networks in the Context of Sulfide Hosted Microbial Ecosystems; Processes and Interactions in Macrofaunal Assemblages at Hydrothermal Vents: A Modeling Perspective |
The Role of Seafloor Hydrothermal Systems in the Evolution of Seawater CompositionDuring the PhanerozoicIndex |
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Sommario/riassunto |
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Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 178.Hydrothermal systems at oceanic spreading centers reflect the complex interactions among transport, cooling and crystallization of magma, fluid circulation in the crust, tectonic processes, water-rock interaction, and the utilization of hydrothermal fluids as a metabolic energy source by microbial and macro-biological ecosystems. The development of mathematical and numerical models that address these complex linkages is a fundamental part the RIDGE 2000 program that attempts to quant |
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