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Atmospheric Turbulence, Meteorological Modeling and Aerodynamics

Editat de Peter R. Lang, Frank S. Lombargo
en Limba Engleză Hardback – 19 mai 2010
Turbulence is a fluid regime characterised by chaotic, stochastic property changes. This includes low momentum diffusion, high momentum convection, and rapid variation of pressure and velocity in space and time. This book will give the reader new insights into this natural phenomenon that occurs everyday yet is a puzzle that is not yet fully resolved in classical physics. Climatological estimates of the turbulent exchange is provided. The basic structure of a meteorological model is also given, which uses universal laws of atmospheric physics as well as empirical relationships to calculate wind flow, temperature, humidity, vertical air mixing, and other parameters. Included in this topic is an overview of an alternative approach and artificial intelligence techniques for modelling and forecasting meteorological data. In addition, this book includes aerodynamics research and applications to fields such as offshore wind power and sailing.
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Specificații

ISBN-13: 9781607410911
ISBN-10: 1607410915
Pagini: 722
Ilustrații: tables, charts & illus
Dimensiuni: 187 x 260 x 43 mm
Greutate: 1.47 kg
Editura: Nova Science Publishers Inc

Cuprins

Preface; Atmospheric Turbulence: Prediction, Measurement, and Effects. Climatology of the Arctic Planetary Boundary Layer; Nonequilibrium Thermodynamic Theory Of The Atmospheric Turbulence; Generalized Scale Invariance of Edge Plasma Turbulence; Turbulence, Turbulent Mixing and Diffusion in Shallow-Water Estuaries; Turbulence Scalar Transfer Modeling in Reacting Flows; Large-Eddy Simulation of Free Shear and Wall-Bounded Turbulent Flows; The research turbulence method with using sensitivity?of the solution quality for the k- analysis of flow properties to model coefficients; Passive Air Sampler for the Determination of Atmospheric Nitrogen Dioxide Using Flat Porous Polyethylene Membrane as Turbulence Limiting Diffuser; Artificial Intelligence Technique for Modelling and Forecasting of Meteorological Data: A Survey; A Semi-Analytic Model of Fog Effects on Vision; New Trends on Phenological Modelling; Time Dependent Shape Optimization Using Adjoint Variable Method for Reducing Drag; Numerical and Experimental Investigations of Fluid Dynamics of High speed Flows; Aerodynamic Research and Development of Vertical-Axis Wind Turbines with Rotary Blades; Grand Computational Challenges for Prediction of the Turbulent Wind Flow and Contaminant Transport and Dispersion in the Complex Urban Environment; The Determination of Aerodynamic Forces on Sails -- Challenges and Status; On parameterising inclined stable boundary layers; Ambient Air Temperature Interpolation in Inhomogeneous Regions; Peat Moisture in Relation to Meteorological Factors: Monitoring, Modelling, and Implications for the Application of the Canadian Forest Fire Weather Index System; Index.