UID:
almafu_9959691567202883
Format:
1 online resource (xxxiii, 510 pages) :
,
digital, PDF file(s).
ISBN:
1-316-08378-0
,
1-316-05778-X
,
1-316-05541-8
,
1-316-08142-7
,
1-316-07669-5
,
1-107-63356-7
,
1-107-44933-2
,
1-316-07906-6
,
1-316-07432-3
,
1-316-07196-0
Content:
The coastal ocean comprises the semi-enclosed seas on the continental shelf, including estuaries and extending to the shelf break. This region is the focus of many serious concerns, including coastal inundation by tides, storm surges or sea level change; fisheries and aquaculture management; water quality; harmful algal blooms; planning of facilities (such as power stations); port development and maintenance; and oil spills. This book addresses modeling and simulation of the transport, evolution and fate of particles (physical and biological) in the coastal ocean. It is the first to summarize the state of the art in this field and direct it toward diverse applications, for example in measuring and monitoring sediment motion, oil spills and larval ecology. This is an invaluable textbook and reference work for advanced students and researchers in oceanography, geophysical fluid dynamics, marine and civil engineering, computational science and environmental science.
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
,
Cover; Half-title; Dedication; Title page; Copyright information; Table of contents; About the authors; Preface; Acknowledgments; List of acronyms; Definitions and notation; Introduction and scope; Part I Background; 1 The Coastal Ocean; 1.1 Typical Motions and Scales; 1.2 Particle Simulation; 1.2.1 Motion; 1.2.2 Rates; 1.2.3 Gather, Scatter; 1.2.4 Simulation; 1.2.5 Aggregation and Identity; 2 Drifters and Their Numerical Simulation; 2.1 Introduction; 2.2 Drifter Technology; 2.2.1 Design; 2.2.2 Communication; 2.2.3 Quality Control; 2.3 Particle Tracking; 2.3.1 Basic Lagrangian Model
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2.3.2 Practical Issues; 2.4 Model Validation with Drifters; 2.4.1 Field Experience; 2.5 Drifter Applications; 2.5.1 Drifter Assimilation; 3 Probability and Statistics - A Primer; 3.1 Basics - Random Numbers; 3.1.1 Continuous Distributions: f and F; 3.1.2 Properties: Survival, Hazard Rate; 3.1.3 Properties: Mean, Variance, Moments; 3.1.4 Properties: Median, Mode, Quartile; 3.1.5 Properties: Other Means; 3.1.6 Bounding Theorems; 3.1.7 Discrete Distributions: Pi and Fj; 3.2 Some Common Distributions; 3.2.1 Continuous Distributions; 3.2.2 Discrete Distributions
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3.2.3 Importance of G, U, B, Pois; 3.2.4 The Central Limit Theorem; 3.3 Generating Random Numbers; 3.3.1 General Methods; 3.3.2 Some Specific Deviates; 3.4 Sampling; Finite N; 3.4.1 Sample Statistics; 3.4.2 Sample Mean; 3.4.3 Sample Variance; 3.4.4 Recap; 3.5 Covariance; 3.5.1 Definitions; 3.5.2 Correlation and Autocorrelation; 3.5.3 Autocorrelated Time Series; 3.5.3.1 Separation-Based Covariance and Correlogram; 3.5.3.2 Correlogram and Impulse Response; 3.5.4 Autocorrelated Eulerian Fields; 3.5.5 Generating Covariance; 3.5.6 Summary - Covariance; 3.6 Particles in a Box
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3.6.1 Individual Residence Time; 3.6.2 Aggregate Properties: Relaxation of Initial Condition; 3.6.3 Export Rate; 3.6.4 Long-Run Balance; 3.6.5 Summary - Steady State; 3.6.6 Exit Paths; 3.6.7 Input Paths; 3.6.8 Autocorrelation; 3.6.9 Example - Branch Point; 3.6.10 A Network of Boxes; 3.6.10.1 Transfer Rate; 3.6.10.2 Steady State; 3.6.11 Closing Ideas - Particles in Boxes; 3.7 Closure; 3.8 General Sources; 4 Dispersion by Random Walk; 4.1 Introduction: Discrete Drunken Walk; 4.2 Continuous Processes; 4.2.1 Resolved and Subgrid Motion; 4.2.2 A Hierarchy
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4.3 The AR0 Model - Uncorrelated Random Walk and Simple Diffusion4.3.1 The Displacement Process; 4.3.2 Correspondence to Diffusion; 4.3.3 Multi-Dimensions; 4.3.4 Inhomogeneous Diffusion; 4.3.5 Anisotropic Diffusion; 4.3.6 Shear and Convergence; 4.3.7 Metrics of Resolution; 4.3.8 Stepsize and the Need for Autocorrelation; 4.4 The AR1 Model - Autocorrelated Velocity; 4.4.1 AR1: Continuous Form and Its Discretization; 4.4.2 AR1: Discrete Canonical Form; 4.4.3 AR1: Displacement; 4.4.4 Some Summary Observations about the AR1 Model; 4.5 The AR2 Model - Autocorrelated Acceleration; 4.5.1 Discrete Canonical Forms
,
English
Additional Edition:
ISBN 1-107-06175-X
Additional Edition:
ISBN 1-322-56057-9
Language:
English
URL:
https://doi.org/10.1017/CBO9781107449336
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