AIR QUALITY MODELING WITH THE

PROBLEM SOLVING ENVIRONMENT (PSE) PROGRAM

 

Problem set designed by

D. Dabdub & T. Demayo

 

April 1999

University of California, Irvine

 

Air pollution is one of the most serious problems that the world faces today.  The last few decades of rapid industrialization, urbanization, and economic development in both industrialized and developing countries has lead to a worldwide increase in pollutant emissions and a resultant decrease in air quality.  Most of the air pollution is caused by the combustion of fossil fuels in energy production, vehicular emissions, and industrial activities.

 

            In urban areas, air pollutants contribute to the formation of smog.  There are two types of smog.  The first to be identified, with reports dating back to the 17th century, was sulphurous smog.  This smog is characterized by high concentrations of sulphur compounds (i.e., SO2 and sulphates), resulting from the combustion of coal and high-sulphur content fuels.  The second type of smog is known as photochemical smog.  This type of pollution first appeared in Los Angeles with the advent of huge fleets of automobiles following WWII.  Sunlight and hot weather catalyze a complex series of reactions in which nitrogen oxides (NOx) and volatile organic compounds (VOCs) react to form a hazardous pool of photochemical oxidants.  Causing haze, eye irritation, respiratory problems, and plant damage, these oxidants consist of ozone (O3), organic nitrates, organic acids, oxidized hydrocarbons, and aerosols.  Today, photochemical smog occurs in numerous cities around the world, such as Mexico City, Santiago de Chile, São Paulo, Tokyo, Paris, and Bangkok.

 

In order to help understand pollutant formation and to develop optimal emissions control strategies, scientists, engineers, and regulators have developed mathematical models of air pollution processes, such as the Problem Solving Environment (PSE) program used in this exercise.  The PSE, designed by K. Nguyen and D. Dabdub for airshed modeling, enables teachers, students, and concerned citizens to dynamically simulate and study air pollution patterns and to understand the consequences of public policy on pollution control.

 

In the model, one can vary temperature, wind patterns, humidity, solar radiation, and primary pollutant emissions in California’s South Coast Air Basin.  In addition, one can choose whether or not to include the various components of air quality models (i.e., diffusion, advection, area and point emissions, chemistry, aerosol dynamics, and deposition) in order to study their effects on the model’s air quality predictions.  After running the simulation, the PSE will then generate over the course of one day animated colour contour plots of pollutant mixing ratios.

 


Suggested Exercise

 

·        Review the basics of photochemical smog formation (see “Primer” below).

·        Review the basics of air quality models.

·        Divide the class into groups of 3-4 people.

·        Run the PSE demo and discuss the operation of the program.

·        Ask each group to answer the following questions, using printouts of contour maps and short written conclusions to backup their results:

 

1.      What happens to ozone formation under the following conditions.  Assign one condition to each group.

 

Conditions:            Windless day

Overcast day (low ultraviolet radiation)

Hot day

Cold day

Dry day  (low relative humidity)

Humid day

 

2.      What would happen to ozone in the South Coast Air Basin if:

 

a)      NOx emissions (area, point) were decreased?  Increased?  Totally eliminated?

b)      VOC emissions (area, point) were decreased?  Increased?  Totally eliminated?

c)      If the NOx:VOC ratio were 10:1?  1:10?

d)      Which regions of the basin would experience improved conditions?  Worsened conditions? (i.e., who gains and who pays?)

 

Variations on the above questions:

·        Select downtown LA or Orange County only as the active region.

·        Answer the above questions but for different photochemical oxidants.

 

 


Primer on the Chemistry of Photochemical Smog Formation

 

The formation of tropospheric O3, one of the principal constituents of photochemical smog, results from a complex series of chemical reactions.  The sequence starts with the reaction of combustion-generated NO with residual ozone to form NO2:

NO + O3 à NO2 + O2

Energy radiated by bright sunlight provides the key step in ozone production by photolyzing NO2 to produce O radicals.  These radicals then react with surrounding O2 molecules to create O3

NO2 + hn(l<400 nm) à O• + NO                                         (1)

O• + O2 à O3                                                             (2)

In addition to the reaction of NO with O3, another very important pathway for NO to NO2 conversion occurs by hydrocarbon oxidation.  The presence of radicals such as OH• results in the photo-oxidation of VOCs (represented here by R) found in the troposphere, giving rise to complex peroxy radicals RO2·:

R + OH• à R·

R· + O2 à RO2·

These peroxy radicals react with NO in a polluted environment to form:

RO2· + NO à RO· + NO2

More O3 is then generated by reactions (1) and (2).

Commonly, the alkoxy radical RO• reacts with O2 to form a carbonyl compound and HO2•:

RO·  + O2 à HO2· + R=O

The hydroperoxyl radical can then react with NO to regenerate OH• and produce another NO2 (and thus O3) molecule through reactions (1) and (2):

HO2• + NO à NO2 + OH•