Environmental Engineering

Air Dispersion Modeling: Foundations and Applications by Alex De Visscher

By Alex De Visscher

A unmarried connection with all points of up to date air dispersion modeling

The perform of air dispersion modeling has replaced dramatically in recent times, largely because of new EPA rules. present with the EPA's forty CFR half fifty one, this e-book serves as a whole connection with either the technological know-how and modern perform of air dispersion modeling. in the course of the publication, writer Alex De Visscher publications readers via complicated calculations, equation via equation, aiding them comprehend accurately how air dispersion types paintings, together with such renowned types because the EPA's AERMOD and CALPUFF.

Air Dispersion Modeling starts with a primer that allows readers to speedy clutch easy ideas through constructing their very own air dispersion version. subsequent, the e-book deals every thing readers have to paintings with air dispersion versions and appropriately interpret their effects, together with:

  • Full bankruptcy devoted to the meteorological foundation of air dispersion
  • Examples during the publication illustrating how thought interprets into practice
  • Extensive discussions of Gaussian, Lagrangian, and Eulerian air dispersion modeling
  • Detailed descriptions of the AERMOD and CALPUFF version formulations

This publication additionally comprises entry to an internet site with Microsoft® Excel and MATLAB® documents that include examples of air dispersion version calculations. Readers can paintings with those examples to accomplish their very own calculations.

With its complete and updated insurance, Air Dispersion Modeling is suggested for environmental engineers and meteorologists who have to practice and evaluation environmental impression exams. The book's many examples and step by step directions additionally make it perfect as a textbook for college kids within the fields of environmental engineering, meteorology, chemical engineering, and environmental sciences.Content:
Chapter 1 creation (pages 1–13):
Chapter three AIR toxins (pages 37–53):
Chapter four rules OF AIR caliber AND AIR caliber MODELING (pages 54–59):
Chapter 6 GAUSSIAN DISPERSION MODELING (pages 141–200):
Chapter 7 PLUME–ATMOSPHERE INTERACTIONS (pages 201–295):
Chapter eight GAUSSIAN version methods IN city OR commercial TERRAIN (pages 296–328):
Chapter nine STOCHASTIC MODELING ways (pages 329–362):
Chapter eleven EULERIAN version techniques (pages 404–473):
Chapter 12 sensible facets OF AIR DISPERSION MODELING (pages 474–479):
Chapter thirteen ISC3 AND SCREEN3 (pages 480–490):
Chapter 14 AERMOD AND AERMET (pages 491–513):
Chapter 15 CALPUFF AND CALMET (pages 514–541):
Chapter sixteen CMAQ (pages 542–555):

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Extra resources for Air Dispersion Modeling: Foundations and Applications

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9. A stack with a height of 50 m emits 20 g s–1 of NO2. Plume rise is negligible. 5 m s–1. Stability class is C. The terrain is rural. Make a plot of the downwind NO2 concentration at ground level at the centerline as a function of distance from the stack. Determine the maximum concentration and the distance where this maximum is observed. , a lateral, or crosswind concentration profile). 10. As a result of odor complaints, a “nasal ranger” is sent to the site of the odor for an investigation. The nasal ranger reports a distinct H2S smell downwind of a gas plant, up to about 5 km downwind of the plant.

This type of model is used for the prediction of photochemical smog. An example is CMAQ (Byun and Ching, 1999; http://www. cfm). 5 Computational Fluid Dynamics Computational fluid dynamics (CFD) is the practice of solving the Navier–Stokes equations on a fixed grid in order to explicitly calculate turbulent motion of air masses. The Navier–Stokes equations are momentum balances. They only provide bulk properties like the wind vector at every location; thus, for the calculation of plume dispersion, an Eulerian or Lagrangian advection and dispersion model is needed.

The equations do not account for momentum-dominated plume rise. These issues will be considered in Chapter 7. 2 Critical Wind Speed From eq. 2) it is clear that the concentration of a pollutant in a plume decreases with increasing wind speed. On the other hand, eq. 7) shows that the plume rise decreases with increasing wind speed, which leads to a increase of the concentration with increasing wind speed. The overall result of these counteracting effects is that the concentration passes through a maximum at a certain wind speed.

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