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Introduction to Modeling – Part II Marti Blad Northern Arizona University College of Engineering & Technology Dept. of Civil & Environmental Engineering
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2 Acronyms GEP - Good engineering practices SIZ - Structural zone of influence COPC - chemical of potential concerns ESQ - Ecological screening options BPIP - Building profile input program PRIME - Plume rise model enhancements UTM - Universal Transverse Mercator DEM - Digital Elevation Models GUI - Graphical User interface
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3 Definitions Primary pollutant = directly emitted Secondary pollutant = formed after reaction Anthropogenic = man made Albedo = Fraction of solar radiation reflected by the ground noon time = sun directly overhead Bowen ratio = measure of surface moisture Energy balance & heat flux
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4 Mass Transport Advection Movement by flow Diffusion Movement from high to low concentration Dispersion Tortuous path, spreading out because goes around obstacles
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5 Diffusion & Dispersion
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6 Chemistry Terms Reactive Equations to explain transformations Photochemistry Conservative No transformations happening Particulates Equilibrium No net change of products Steady state Kinetic Can measure the rate of reaction
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7 NOx Related Air Quality Issues Acid Rain (NO 3 - deposition) Water Quality (Nitrogen deposition, Lake Acidification) NO x Visibility (Fine PM) (NOx + VOC + hv) --> Ozone (NO 3 -, NH 4 + ) PM Eutrophication (Nitrogen deposition, Ecosystem Change)
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8 SOx Related Air Quality Issues Acid Rain ( SO 4 2- deposition) SO x (Fine PM) Visibility (SO 4 2-, NH 4 + ) PM Water Quality (Lake acidification, Toxics deposition)
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9 Chemistry Decay coefficient Half life Reaction/ transformation Buoyancy induced dispersion Anemometer Measures wind speed Deposition Wet or dry Scavenging
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10 Plume Rise
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11 Multiple Mechanisms
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12 Math Vocabulary Lumped parameter Can’t get all the pieces Discrete vs. continuous variable Number of stacks Velocity Mass Balance concept Things can’t magically disappear Accumulation = in – out +/- reactions
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13 Math Averaging period Time over which data taken Lose spikes Mathematical array Series of equations Simultaneously solved Stochastic = Probability-based Statistical analysis of outcomes Frequency distribution
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14 Math (cont.) Frequency distribution Gaussian Poisson Normalized Out of 1 instead of 100 Isopleth Contour graph Iso = same (concentration) Cartesian (2 or 3 D) X, Y, Z Polar (2 D) Theta = Radius = r
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15 Physics Downwash Circulation of air due to building turbulence Wake from air flow Entrainment Capture by particulate or droplet Receptor Who or what will be exposed Model determines exposure concentrations
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16 Conceptual Effect of Buildings
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17 Model Vocabulary Assumptions Rules to live by Defines how system works Math to describe (quantify) Algorithm = equation Sensitivity Most important parameters Tells limitations Source types Point, volume, line, area, fugitive
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18 Modeling Process Collect data Preprocess data for input Emissions (EI, Mobile) Atmospheric & Meteorological (RAMMET) Run Computer iteratively calculates Calibration Tweak empirical constants Unknown factors defined
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19 Modeling process (cont.) Validation Compared with data to see if actually described Review assumptions View output Text files Graphical packages Sensitivity analysis What input changes affect output
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20 Model Within a Model concept
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21 Models Meteorological Diagnostic Prognostic Emissions Type of chemicals Rates of release Sources Building impacts Surface Terrain complexity Air turbulance Viewing GUI to see pictures Receptor Human Ecological impact
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22 Downwash Scenarios
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23 Dispersion Model Structure
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