Floods in a changing climate Inundation modelling / / Giuliano Di Baldassarre, UNESCO-IHE Institute for Water Education [[electronic resource]]

• Record Nr.: UNINA9910779346103321
• Autore: Di Baldassarre Giuliano <1978->
• Pubbl/distr/stampa: Cambridge : , : Cambridge University Press, , 2012
• ISBN: 1-139-85399-6; 1-107-23543-X; 1-139-08841-6; 1-139-84017-7; 1-139-84586-1; 1-139-84255-2; 1-139-84491-1; 1-283-74662-X; 1-139-84136-X
• Descrizione fisica: 1 online resource (xiv, 105 pages) : digital, PDF file(s)
• Collana: International hydrology series
• Classificazione: SCI081000
• Disciplina: 551.48/9011
• Soggetti: Flood damage prevention; Floodplain management; Floodplains; Hydrogeological modeling; Climatic changes
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Machine generated contents note: List of contributors; Foreword; Preface; 1. Introduction; Part I. Theory: 2. Theoretical background: steady flow Luigia Brandimarte; 3. Theoretical background: unsteady flow Ioana Popescu; Part II. Methods: 4. Data sources; 5. Model building; 6. Model evaluation; 7. Model outputs; Part III. Applications: 8. Urban flood modelling Jeffrey C. Neal, Paul D. Bates and Timothy J. Fewtrell; 9. Changes in flood propagation caused by human activities; 10. Changes of stage-discharge rating curves; 11. Evaluation of floodplain management strategies; References; Index.
• Sommario/riassunto: Flood inundation models enable us to make hazard predictions for floodplains, mitigating increasing flood fatalities and losses. This book provides an understanding of hydraulic modelling and floodplain dynamics, with a key focus on state-of-the-art remote sensing data, and methods to estimate and communicate uncertainty. Academic researchers in the fields of hydrology, climate change, environmental science and natural hazards, and professionals and policy-makers working in flood risk mitigation, hydraulic engineering and remote sensing will find this an invaluable resource. This volume is the third in a collection of four books on flood disaster management theory and practice within the context of anthropogenic climate change. The others are: Floods in a Changing Climate: Extreme Precipitation by Ramesh Teegavarapu, Floods in a Changing Climate: Hydrological Modeling by P. P. Mujumdar and D. Nagesh Kumar and Floods in a Changing Climate: Risk Management by Slodoban Simonović.

Stochastic Modeling / / by Nicolas Lanchier

• Record Nr.: UNINA9910254291403321
• Autore: Lanchier Nicolas
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• ISBN: 3-319-50038-4
• Edizione: [1st ed. 2017.]
• Descrizione fisica: 1 online resource (XIII, 303 p. 63 illus., 6 illus. in color.)
• Collana: Universitext, , 0172-5939
• Disciplina: 003.76
• Soggetti: Probabilities; Mathematical models; Probability Theory and Stochastic Processes; Mathematical Modeling and Industrial Mathematics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 1. Basics of Measure and Probability Theory -- 2. Distribution and Conditional Expectation -- 3. Limit Theorems -- 4. Stochastic Processes: General Definition -- 5. Martingales -- 6. Branching Processes -- 7. Discrete-time Markov Chains -- 8. Symmetric Simple ; Random Walks -- 9. Poisson Point and Poisson Processes -- 10. Continuous-time Markov Chains -- 11. Logistic Growth Process -- 12. Wright-Fisher and Moran Models -- 13. Percolation Models -- 14. Interacting Particle Systems -- 15. The Contact Process -- 16. The Voter Model -- 17. Numerical Simulations in C and Matlab.
• Sommario/riassunto: Three coherent parts form the material covered in this text, portions of which have not been widely covered in traditional textbooks. In this coverage the reader is quickly introduced to several different topics enriched with 175 exercises which focus on real-world problems. Exercises range from the classics of probability theory to more exotic research-oriented problems based on numerical simulations. Intended for graduate students in mathematics and applied sciences, the text provides the tools and training needed to write and use programs for research purposes. The first part of the text begins with a brief review of measure theory and revisits the main concepts of probability theory, from random variables to the standard limit theorems. The second part covers traditional material on stochastic processes, including martingales, discrete-time Markov chains, Poisson processes, and continuous-time Markov chains. The theory developed is illustrated by a variety of examples surrounding applications such as the gambler’s ruin chain, branching processes, symmetric random walks, and queueing systems. The third, more research-oriented part of the text, discusses special stochastic processes of interest in physics, biology, and sociology. Additional emphasis is placed on minimal models that have been used historically to develop new mathematical techniques in the field of stochastic processes: the logistic growth process, the Wright–Fisher model, Kingman’s coalescent, percolation models, the contact process, and the voter model. Further treatment of the material explains how these special processes are connected to each other from a modeling perspective as well as their simulation capabilities in C and Matlab™.