UK Success Stories in Industrial Mathematics [electronic resource] /
Aston, Philip J.editor.
Mulholland, Anthony J.editor.
Tant, Katherine M.M.editor.
This publication showcases the work of UK mathematicians and statisticians by describing industrial problems that have been successfully solved, together with a summary of the financial and/or societal impact that arose from the work. The articles are grouped by sector, and include contributions to climate modelling, engineering and health. The articles are based on Impact Case Studies that were submitted to the Research Excellence Framework (REF2014), a UK government sponsored exercise that assessed the research quality within UK universities. There are many publications in the realm of 'popular mathematics' as well as a vast research literature that underpins this. This work is aimed at a middle ground between these two. Articles contain some mathematical detail, but the emphasis is on telling the story of a successful collaboration between academia and industry and on the results obtained. UK Success Stories in Industrial Mathematics is therefore accessible to a wide readership with interest in the applications of mathematics and statistics to problems of industrial importance and to those interested in how mathematics and statistics research affects our everyday lives and leads to economic and societal benefits.
Description based upon print version of record.
Foreword; An Apology for a Mathematician; Contents; Part I Climate Modelling; Application of Data Assimilation  to Ocean and Climate Prediction; Introduction; Data Assimilation; Unrealistic Motions Generated by Data Assimilation  Near the Equator; Analysis Using the Shallow Water Equations; Impacts; References; Improving Weather Forecasting Accuracy  by Using r-Adaptive Methods Coupled  to Data Assimilation Algorithms; Data Assimilation; Adaptive Mesh Methods; Coupling r-Adaptive Methods to Data Assimilation Algorithms; Results; Societal Impact; References
Measuring How Much Wood  is in the World's Forests: Why  Statistics MatterIntroduction: The Global Carbon Cycle, Forest Biomass  and the BIOMASS Satellite Mission; Meeting the Accuracy Requirements: A Fight Against Image Statistics; Resolving the Dilemma: Using Multiple Satellite Images; Simple Problems Can Have Big Impacts; References; ENDGame: The New Dynamical Core  of the Met Office Weather and Climate Prediction Model; Introduction; Further Background: The C-Grid; Energy, Rossby Waves, and the Polar Variable; Convergence and Stability; A More Robust and Accurate Model; References
Part II Environmental ModellingWonder of the Solar System: Icy Geysers  and Liquid Water on Enceladus; Introduction; Early Theories of Enceladus' Plume; Modern Theory of the Plume; Subsurface Ocean; Impact; References; Distance Sampling Surveys of Population Size: Enabling Better Decision-Making by Wildlife Managers; Introduction; Conventional Distance Sampling; Advances; Impact; Example; References; Avalanche Defence Schemes; Introduction; Mathematical Models of Snow Avalanches; Deflecting Dams; Application; References; Radiometric Dating of Environmental Records in Natural Archives
IntroductionMethodology; Impacts of Some Recent Projects; Western Airborne Contaminants Assessment Project; Restoration of Mosquito Control Ditches on Fire Island,  New York; Use of Antifoulant Paints in UK Inland Waters; References; Bayesian Spatio-Temporal Modelling  to Deliver More Accurate and Instantaneous Air Pollution Forecasts; Introduction; Models; Posterior Distributions; Predictive Distribution for Forecasting; Validation Analysis; Discussion; References; Part III Engineering; Modelling and Analysis of Floating Ocean Wave Energy Extraction Devices; Introduction
Underpinning ResearchModelling the OWEL WEC; Impact and Interaction with Industry; References; Some Mathematics for Splashes: Sea-Wave Impact on Coastal Structures; Introduction; Development of the Mathematical Model; Pressure-Impulse Theory; An Example Calculation with an Idealised Triangular Wave; Conclusions and Further Explorations; References; Industrial Impact of Bayes Linear Analysis; Introduction; Bayes Linear Analysis; Bayes Linear Sufficiency and Asset Management; Theoretical Background; Impact; Bayes Linear Kinematics and Chemical Potency Assessment; Theoretical Background; Impact
Uncertainty Analysis for Computer Models
Includes bibliographical references at the end of each chapters.
This publication showcases the work of UK mathematicians and statisticians by describing industrial problems that have been successfully solved, together with a summary of the financial and/or societal impact that arose from the work. The articles are grouped by sector, and include contributions to climate modelling, engineering and health. The articles are based on Impact Case Studies that were submitted to the Research Excellence Framework (REF2014), a UK government sponsored exercise that assessed the research quality within UK universities. There are many publications in the realm of 'popular mathematics' as well as a vast research literature that underpins this. This work is aimed at a middle ground between these two. Articles contain some mathematical detail, but the emphasis is on telling the story of a successful collaboration between academia and industry and on the results obtained. UK Success Stories in Industrial Mathematics is therefore accessible to a wide readership with interest in the applications of mathematics and statistics to problems of industrial importance and to those interested in how mathematics and statistics research affects our everyday lives and leads to economic and societal benefits.
Mathematical models.
Applied mathematics.
Engineering mathematics.
Mathematical Modeling and Industrial Mathematics.
Applications of Mathematics.