Air Pollution Meteorology and Dispersion provides a concise yet thorough review of the basic theories, models, experiments, and observations of pollutant dispersal in the atmosphere. It offers the theoretical and empirical bases of frequently used dispersion models while emphasizing the limitations and uncertainties inherent in these models. Organized into twelve chapters, the material is presented in order of increasing difficulty. The first half of the book treats the basic tenets of air pollution modeling; the second half deals with the more detailed theoretical and observational aspects of dispersion. Sufficient background material on atmospheric structure, dynamics, and circulation systems and their importance to atmospheric dispersion is included for students who do not yet have a strong meteorological background. Turbulence and diffusion theories, such as gradient transport, statistical, and similarity theories, as well as analytical and numerical dispersion and air quality models, are also discussed. Problems and exercises are included in each chapter, making this an ideal text for undergraduate and graduate courses in atmospheric science and mechanical engineering.

1. INTRODUCTION TO AIR POLLUTION 1.1: The Air Pollution Problem 1.2: Sources of Air Pollution 1.3: Air Pollutants 1.4: Effects of Air Pollution 1.5: Regulatory Control of Air Pollution 2. ATMOSPHERIC STRUCTURE AND DYNAMICS 2.1: Introduction 2.2: Composition and Thermal Structure of the Atmosphere 2.3: State Variables and Thermodynamics 2.4: Atmospheric Stability 2.5: Conservation Laws and Atmospheric Dynamics 2.6: Largescale Inviscid Flows 2.7: Smallscale Viscous Flows 2.8: Applications 3. ATMOSPHERIC SYSTEMS AND POLLUTANT TRANSPORT 3.1: Introduction 3.2: Macroscale Systems 3.3: Synoptic Weather Systems 3.4: Mesoscale Systems 3.5: Microscale Systems 4. MICROMETEOROLOGY AND PLANETARY BOUNDARY LAYER 4.1: Introduction and Definitions 4.2: EarthAtmosphere Exchange Processes 4.3: Vertical Distribution of Thermodynamic Variables 4.4: Vertical Distribution of Winds in the PBL 4.5: Turbulence 4.6: Gradienttransport Theories 4.7: Similarity Theories 4.8: Boundarylayer Parameterization for Dispersion Applications 5. STATISTICAL DESCRIPTION OF ATMOSPHERIC TURBULENCE 5.1: Reynolds Averaging 5.2: Probability Functions 5.3: Autocorrelation Functions 5.4: Spectrum Functions 5.5: Taylor's Hypothesis 5.6: Statistical Theory of Turbulence 5.7: Observed Spectra and Scales 5.8: Effects of Smoothing and Finite Sampling 5.9: Lagrangian Description of Turbulence 5.10: Parameterization of Turbulence for Diffusion Applications 6. GRADIENT TRANSPORT THEORIES 6.1: Eulerian Approach to Describing Diffusion 6.2: Mass Conservation and Diffusion Equations 6.3: Molecular Diffusion 6.4: Turbulent Diffusion 6.5: Constant K (Fickian Diffusion)  Theory 6.6: Variable KTheory 6.7: Limitations of Gradient Transport Theories 6.8: Experimental Verification of KTheories 6.9: Applications of KTheories to Atmospheric Dispersion 7. STATISTICAL THEORIES OF DIFFUSION 7.1: Lagrangian Approach to Describing Diffusion 7.2: Statistical Theory of Absolute Diffusion 7.3: Plume Diffusion from Continuous Sources 7.4: Statistical Theory of Relative Diffusion 7.5: Puff Diffusion from Instantaneous Releases 7.6: Fluctuating Plume Models 7.7: Experimental Verification of Statistical Theories 7.8: Applications to Atmospheric Dispersion and Limitations 8. SIMILARITY THEORIES OF DISPERSION 8.1: Dispersion in Stratified Shear Flows 8.2: Lagrangian Similarity Theory for the Neutral Surface Layer 8.3: Lagrangian Similarity Theory for the Stratified Surface Layer 8.4: The Mixedlayer Similarity Theory 8.5: Experimental Verification of Similarity Theories 8.6: Applications to Dispersion in the PBL 8.7: Limitations of Similarity Theories 9. GAUSSIAN DIFFUSION MODELS 9.1: Basis and Justification for Gaussian Models 9.2: Gaussian Plume and Puff Diffusion Models 9.3: Diffusion Experiments 9.4: Empirical Dispersion Parameterization Schemes 9.5: Further Improvements in Dispersion Parameterization 9.6: The Maximum GroundLevel Concentration 9.7: Model Evaluations and Uncertainties 9.8: Limitations of Gaussian Diffusion Models 9.9: Practical Applications of Gaussian Diffusion Models 10. PLUME RISE, SETTLING, AND DEPOSITION 10.1: Momentum and Buoyancy Effects of Release 10.2: Plumerise Theory and Observations 10.3: Gravitational Settling of Particles 10.4: Dry Deposition 10.5: DispersionDeposition Models 10.6: Applications 11. NUMERICAL DISPERSION MODELS 11.1: Introduction 11.2: Shortrange Gradient Transport Models 11.3: Turbulence Kinetic Energy Models 11.4: Higher Order Closure Models 11.5: Largeeddy Simulations 11.6: Lagrangian Stochastic Models 12. URBAN AND REGIONAL AIR QUALITY MODELS 12.1: Introduction 12.2: Components of an Air Quality Model 12.3: Urban Diffusion and Air Quality 12.4: Regional Air Quality Models 12.5: Applications of Air Quality Models

S. Pal Arya, (Professor of Meteorology, Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh)
