ENAC-SSIE Laboratoire de Pollution de l'Air Model Strategies Simplify the equations Find an analytical solution Keep the equations Simplify the resolution.

Slides:



Advertisements
Similar presentations
© Crown copyright Met Office Turbulent dispersion: Key insights of G.I.Taylor and L.F.Richardson and developments stemming from them Dave Thomson, 17 th.
Advertisements

Basic Governing Differential Equations
A modified Lagrangian-volumes method to simulate nonlinearly and kinetically adsorbing solute transport in heterogeneous media J.-R. de Dreuzy, Ph. Davy,
Performance of Air Quality Models in Urban Areas  Objectives and Motivation  St. Louis study and ISC urban  Model Improvements  Performance of Improved.
Krakow - September, 15th 2008COSMO WG 2 - Runge Kutta1 Further Developments of the Runge-Kutta Time Integration Scheme Investigation of Convergence (task.
The Atmospheric Boundary Layer (ABL) over Mesoscale Surface Heterogeneity 25 June 2009 Song-Lak Kang Research Review.
1 On the “Do”s and “Don’t”s of Footprint Analysis in Difficult Conditions H.P. Schmid Indiana University, Bloomington IN, USA CO 2.
ENAC-SSIE Laboratoire de Pollution de l'Air Bogotá air quality Colombia, 2003.
Monroe L. Weber-Shirk S chool of Civil and Environmental Engineering Basic Governing Differential Equations CEE 331 June 12, 2015.
page 0 Prepared by Associate Prof. Dr. Mohamad Wijayanuddin Ali Chemical Engineering Department Universiti Teknologi Malaysia.
Module 9 Atmospheric Stability Photochemistry Dispersion Modeling.
Basic Governing Differential Equations
ENAC-SSIE Laboratoire de Pollution de l'Air. O 2 + h →O + O O + O 2 + M→O 3 + M In the stratosphere (U.V. radiation): NO 2 + h →NO + O O + O 2 + M→O 3.
1 AirWare : R elease R5.3 beta AERMOD/AERMET DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIA
Momentum flux across the sea surface
Atmospheric turbulence Richard Perkins Laboratoire de Mécanique des Fluides et d’Acoustique Université de Lyon CNRS – EC Lyon – INSA Lyon – UCBL 36, avenue.
Beispielbild Training Programme Air Quality Monitoring, Emission Inventory and Source Apportionment Studies Source Dispersion Modelling Andreas Kerschbaumer.
ENAC-SSIE Laboratoire de Pollution de l'Air The Atmospheric Layers.
CHAPTER 3: SIMPLE MODELS
X ONE-BOX MODEL Atmospheric “box”;
Derivation of the Gaussian plume model Distribution of pollutant concentration c in the flow field (velocity vector u ≡ u x, u y, u z ) in PBL can be generally.
Monroe L. Weber-Shirk S chool of Civil and Environmental Engineering Basic Governing Differential Equations CEE 331 July 14, 2015 CEE 331 July 14, 2015.
* Reading Assignments:
September 3, 2010 Average Speed, Velocity, Acceleration.
Environmental Modeling of the Spread of Road Dust Craig C. Douglas Based on an article by S.B. Hazra, T. Chaperon, R. Kroiss, J. Roy, and D. La Torre with.
KIT – University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH,
1 U N C L A S S I F I E D Modeling of Buoyant Plumes of Flammable Natural Gas John Hargreaves Analyst Safety Basis Technical Services Group LA-UR
CHAPTER 5 Concentration Models: Diffusion Model.
AMBIENT AIR CONCENTRATION MODELING Types of Pollutant Sources Point Sources e.g., stacks or vents Area Sources e.g., landfills, ponds, storage piles Volume.
Cases 1 through 10 above all depend on the specification of a value for the eddy diffusivity, K j. In general, K j changes with position, time, wind velocity,
Hyperbolas 9.3. Definition of a Hyperbola A hyperbola is the set of all points (x, y) in a plane, the difference of whose distances from two distinct.
Presentation Slides for Chapter 3 of Fundamentals of Atmospheric Modeling 2 nd Edition Mark Z. Jacobson Department of Civil & Environmental Engineering.
Combining HYSPLIT and CMAQ to resolve urban scale features: an example of application in Houston, TX Ariel F. Stein (1), Vlad Isakov (2), James Godowitch.
Projectiles Horizontal Projection Horizontally: Vertically: Vertical acceleration g  9.8 To investigate the motion of a projectile, its horizontal and.
Taylor’s Hypothesis: Frozen Turbulence (Stull, 1988, p. 5) Turbulent flow can be viewed as a collection of eddies that evolve in time and space as they.
Richard Rotunno National Center for Atmospheric Research, USA Dynamic Mesoscale Mountain Meteorology Lecture 2: Thermally Driven Circulations.
4. Atmospheric chemical transport models 4.1 Introduction 4.2 Box model 4.3 Three dimensional atmospheric chemical transport model.
Air quality decision support under uncertainty (case study analysis) Piotr Holnicki Systems Research Institute PAS Warszawa, Newelska 6
Lecture Objectives Unsteady State Simulation Example Modeling of PM.
Session 3, Unit 5 Dispersion Modeling. The Box Model Description and assumption Box model For line source with line strength of Q L Example.
Prof. Jiakuan Yang Huazhong University of Science and Technology Air Pollution Control Engineering.
Dispersion conditions in complex terrain - a case study of the January 2010 air pollution episode in Norway Viel Ødegaard Norwegian Meteorological.
1 Atmospheric Dispersion (AD) Seinfeld & Pandis: Atmospheric Chemistry and Physics Nov 29, 2007 Matus Martini.
A New Theoretical Basis for Describing Low Turbulence Wind Turbine Performance Peter Stuart PCWG Meeting – 26 June 2015.
Air quality models DETERMINISTIC MODELS EULERIAN MODELS
Lagrangian particle models are three-dimensional models for the simulation of airborne pollutant dispersion, able to account for flow and turbulence space-time.
Types of Models Marti Blad Northern Arizona University College of Engineering & Technology.
Consequence Analysis 2.2.
Modeling. How Do we Address Aerosol-Cloud Interactions? The Scale Problem Process Models ~ 10s km Mesoscale Models Cloud resolving Models Regional Models.
Atmospheric Lifetime and the Range of PM2.5 Transport Background and Rationale Atmospheric Residence Time and Spatial Scales Residence Time Dependence.
Status of component 4, “urbanLS”… testing the four optional configurations (forward/backward, 0 th /1 st order) John Wilson, 22 August/06 Context Random.
8. Box Modeling 8.1 Box Models –Simplest of atmospheric models (simple saves $). –Species enter the box in two ways: 1. source emissions 2. atmospheric.
Modeling of heat and mass transfer during gas adsorption by aerosol particles in air pollution plumes T. Elperin1, A. Fominykh1, I. Katra2, and B. Krasovitov1.
Types of Models Marti Blad PhD PE
Neutrally Buoyant Gas Dispersion Instructor: Dr. Simon Waldram
Modeling of regional-scale PCB transport at the Bayonne Peninsula
Turbulence closure problem
Modeling of Air Pollutants Dispersion from
Modeling of regional-scale PCB transport at the Bayonne Peninsula
Lecture Objectives Unsteady State Ventilation Modeling of PM.
Comparative Analysis of Parameters obtained while Simulating an Air-Pollution Episode Ana M. Lazarevska Faculty of Mechanical Engineering, Skopje University.
Models of atmospheric chemistry
Air Pollution Control EENV 4313
Heat Transfer Coefficient
Wind Velocity One of the effects of wind speed is to dilute continuously released pollutants at the point of emission. Whether a source is at the surface.
AOSS 401, Fall 2013 Lecture 4 Material Derivative September 12, 2013
Dispersion Models Dispersion of pollutants in the atmosphere Models
Three-Dimensional Finite Element Modeling of Stack Pollutant Emissions
Local Scale Finite Element Modelling of Stack Pollutant Emissions
Pressure Pressure Gradient Force Coriolis Force
Presentation transcript:

ENAC-SSIE Laboratoire de Pollution de l'Air Model Strategies Simplify the equations Find an analytical solution Keep the equations Simplify the resolution

ENAC-SSIE Laboratoire de Pollution de l'Air Gaussian Model Wind speed Virtual Source Non reactive Pollutant Punctual Pollutant Source Constant Wind Homogenous Turbulence

ENAC-SSIE Laboratoire de Pollution de l'Air Gaussian Model with C pollutant concentration [gm -3 ], Q pollutant fluxes at the source [gs -1 ], U mean wind speed [ms -1 ],  y  standard deviation of the horizontal turbulent distribution [m],  z  standard deviation of the vertical turbulent distribution [m], H effective height of the pollutant source [m].

ENAC-SSIE Laboratoire de Pollution de l'Air Gaussian Model Pasquill classes for atmospheric stability

ENAC-SSIE Laboratoire de Pollution de l'Air Gaussian Model StabilityParameters (x in km) A T = – ln x B C D E F T = – ln x T = 12.5 – ln x T = – ln x T = 6.25 – ln x T = – ln x withx the distance to the pollutant source [km]

ENAC-SSIE Laboratoire de Pollution de l'Air Gaussian Model with x the distance to the pollutant source [km]

ENAC-SSIE Laboratoire de Pollution de l'Air Lagrangian Particles Model Concentration U  x=U  t  x=(U+u)  t U u Air parcel trajectories Additional turbulent wind speed

ENAC-SSIE Laboratoire de Pollution de l'Air Box Model Eulerian: fixed box Wind flow Lagrangian: moving box Wind flow: Box trajectory

ENAC-SSIE Laboratoire de Pollution de l'Air Moving column Wind flow: Column trajectory Lagrangian Column Model

ENAC-SSIE Laboratoire de Pollution de l'Air Eulerian 3D Model Eulerian 3D mesh

ENAC-SSIE Laboratoire de Pollution de l'Air Eulerian 3D Model xx i-1 i i+1 C 2/1i F  n i C 2/1i F  i S

ENAC-SSIE Laboratoire de Pollution de l'Air xx i-1 i i+1 n i C Eulerian 3D Model tt Time Distance n+1 i C Boundary Conditions B.C. Initial Conditions

ENAC-SSIE Laboratoire de Pollution de l'Air Eulerian 3D Model Exact solution after 5s Initial condition Exact solution

ENAC-SSIE Laboratoire de Pollution de l'Air Eulerian 3D Model with

ENAC-SSIE Laboratoire de Pollution de l'Air Initial condition Solution after 5s  t=0.5s  t=0.1s Eulerian 3D Model 1 st order and

ENAC-SSIE Laboratoire de Pollution de l'Air Eulerian 3D Model

ENAC-SSIE Laboratoire de Pollution de l'Air Eulerian 3D Model 1 st and 3 d order and 1 st order 3 d order Initial condition