3) Mixing and dispersion in the atmosphere

3) Mixing and dispersion in the atmosphere#

Lab 3: Gaussian Mixing and Smokestack plumes#

Download the lab and data files to your computer. Then, upload them to your JupyterHub following the instructions here.

Homework 3:#

Problem 1#

On an overcast day with class C stability, the wind velocity at 10 m is 5 m/s. The emission rate of an atmospheric pollutant is 70 g/s from a stack having an effective height of 100 m. Assume rural conditions. (You will want to use the lab python notebooks to solve this problem.)

  • Estimate the center-line, ground-level concentration 25 km downwind from the stack, in micrograms per cubic meter.

  • Estimate the ground-level concentration 25 km downwind and 600 m from the stack center line, in micrograms per cubic meter.

  • Calculate and plot the centerline ground level concentration versus distance from the stack (C(x)).

  • From the plot, estimate the magnitude and location of the peak ground concentration.

  • How would the location and magnitude of the peak ground concentration change if the stack height was 125 𝑚? (Plot on the same axes)

Problem 2#

You are asked to assess the air quality in two cities A and B. The temperature profiles over each of the cities is shown below. Note that a parcel rising from the surface will start with the surface temperature 25 °C. Assume dry air.

  • What is the mixing height (H) over each city?

  • Based on the observed temperature profiles, estimate the stability class (A-F) for each city.

  • Determine the vertically averaged velocity between z=0 and z=H. You are told that the wind speed 10 𝑚 above the surface is 𝑢=6 𝑚/𝑠. Note: the velocity profile follows the power law and the vertical average is given by:

Uavg_equation

  • What is the Dilution Rate (or ventilation coefficient) for each city?

  • Which city is likely to have better air quality on this day?

  • If both cities are 30 𝑘𝑚 across, what is the residence time over each?

CityACityB

Problem 3#

Consider an area-source box model for air pollution above a peninsula of land (see figure below). The length of the box is 25 km, its width is 100 km, and a radiation inversion restricts mixing to 100 m. Wind is blowing clean air into the long dimension of the box at 1 m/s. Between 4 and 6 pm there are 400,000 vehicles on the road, each being driven 20 km, and each emitting 5 g/km of CO.

BoxModel

W = 100 km, L = 25 km, H=100 m, u = 1 m/s

  • Find the average rate of CO emissions during this two-hour period (g CO/s per m^2 of land).

  • Estimate the concentration of CO at 6 pm if there was no CO in the air at 4 pm. Assume that CO is conservative (does not decay or change) and that there is instantaneous and complete mixing in the box.

  • Assume the windspeed is 0, and use the basic equation (below) to derive a relationship between CO and time and use it to find the CO over the peninsula at 6 pm.

BoxModeleqn