| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910254349203321 |
|
|
Autore |
Brenn Günter |
|
|
Titolo |
Analytical Solutions for Transport Processes : Fluid Mechanics, Heat and Mass Transfer / / by Günter Brenn |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2017.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XV, 300 p. 99 illus.) |
|
|
|
|
|
|
Collana |
|
Mathematical Engineering, , 2192-4732 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Thermodynamics |
Heat engineering |
Heat - Transmission |
Mass transfer |
Differential equations, Partial |
Fluids |
Fluid mechanics |
Engineering Thermodynamics, Heat and Mass Transfer |
Partial Differential Equations |
Fluid- and Aerodynamics |
Engineering Fluid Dynamics |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references at the end of each chapters and index. |
|
|
|
|
|
|
|
|
Nota di contenuto |
|
Part I Fluid Mechanics -- Part II Heat and Mass Transfer -- Part III Appendix. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book provides analytical solutions to a number of classical problems in transport processes, i.e. in fluid mechanics, heat and mass transfer. Expanding computing power and more efficient numerical methods have increased the importance of computational tools. However, the interpretation of these results is often difficult and the computational results need to be tested against the analytical results, making analytical solutions a valuable commodity. Furthermore, analytical solutions for transport processes provide a much deeper understanding of the physical phenomena involved in a given process |
|
|
|
|
|
|
|
|
|
|
|
|
|
than do corresponding numerical solutions. Though this book primarily addresses the needs of researchers and practitioners, it may also be beneficial for graduate students just entering the field. . |
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910303445803321 |
|
|
Titolo |
Quantitative Methods in Environmental and Climate Research / / edited by Michela Cameletti, Francesco Finazzi |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2018.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (136 pages) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
Statistics |
Ecology |
Climatology |
Environmental monitoring |
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Theoretical and Statistical Ecology |
Environmental Sciences |
Statistical Theory and Methods |
Climate Sciences |
Environmental Monitoring |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
1 Fast Bayesian classification for disease mapping and the detection of disease clusters -- 2 A Novel Hierarchical Multinomial Approach to Modelling Age-specific Harvest Data -- 3 Detection of change points in spatiotemporal data in presence of outliers and heavy-tailed observations -- 4 Modelling spatiotemporal mismatch for Aerosol profiles -- 5 A SPATIOTEMPORAL APPROACH FOR PREDICTING WIND |
|
|
|
|
|
|
|
|
|
|
|
SPEED ALONG THE COAST OF VALPARAISO, CHILE -- 6 Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998-2016 -- 7 A hidden Markov random field with copula-based emission distributions for the analysis of spatial cylindrical data. |
|
|
|
|
|
|
Sommario/riassunto |
|
This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data. The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data. . |
|
|
|
|
|
|
|
| |