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Ozone and Photochemical Smog

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    See how confident you are with the Wolverines.
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    Okay. So we’ve talked about urban air pollution
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    a couple of times through this semester
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    and this is actually a photograph of a typical day in Beijing.
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    We saw the one a couple of lectures ago
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    when someone was trying to raise a flag in Tiananmen Square and I,
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    I couldn’t see the flag.
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    But you know following a rainfall,
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    Beijing can clear up and so what we’re going to talk about today
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    are some of the causes of urban air pollution,
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    specifically around smog and photochemical smog.
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    So what we’ll talk about today again will be
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    some of the primary pollutants of concern.
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    Criteria air pollutants as we call them
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    in the regulatory framework of the U.S. CPA.
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    We’re going to be able to do calculations using
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    mass balance equations just like we did earlier,
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    whether it was for a, you know earlier we looked at lakes and creeks merging.
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    We looked at reactors.
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    We’re going to look at an urban box model for air pollution
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    and we’ll do similar sorts of calculations
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    looking at pollutants in and out,
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    and those that can be generated within that volume.
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    We’ll talk a bit about the mechanisms of photochemical smog formation.
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    You may remember a couple of lectures ago
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    we talked about good ozone and bad ozone,
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    and the focus today will be on the bad ozone,
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    the ozone in the troposphere.
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    We’ll finish up with some discussion of isopleth diagrams
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    and ozone forming potential, and that will give you
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    an idea of perhaps some management tools
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    for looking at reducing NOx or VOCs and formation of photochemical smog.
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    And we’ll talk about a nice little calculation tool at the end of the lecture,
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    the MIR, the maximum incremental reactivity scale.
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    It gives us a way to look at some individual VOCs and their potential for ozone formation.
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    Okay so we have talked about the primary air contaminants
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    of concern in urban environments and criteria air pollutants.
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    So you may remember this figure.
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    So we talked about sources of air pollution.
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    Of course, coal burning power plants, ones that are very prevalent in China,
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    are responsible for emitting SOx and NOx and particulates and hydrocarbons,
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    and those are all criteria air pollutants.
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    Urban transportation, motor vehicles are also significant sources of admissions
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    of both NOx and hydrocarbons, particularly carbon monoxide
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    and other partially burned fuels.
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    Incinerators, other industrial stacks, can be sources of air pollution as well.
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    So there are a number of sources to consider.
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    When we do some of our box model monitor, modeling,
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    of course we’re going to be looking at things at a fairly large scale.
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    But as you reduce your scale,
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    if you become the environmental engineer at an industrial facility,
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    and someone tells you we’re going to put another stack out the roof
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    because we’re going to add a new process,
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    well then you have to look at the impact of that stack and
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    its emissions on the ambient air.
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    Are you going to be increasing NOx?
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    Are you going to be increasing VOCs at the property boundary?
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    So we talked earlier about the major criteria air pollutants,
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    carbon monoxide and O2 ozone, SO2, lead, and particulate matter.
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    The focus today will be a lot on NO2,
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    which is responsible for photochemical smog, the resultant pollutant ozone,
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    and other VOCs that are CAPs.
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    Another term you may hear in the air pollution vernacular
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    is HAPs or hazardous air pollutants.
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    These are typically going to be VOCs like benzene or aldehydes,
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    other, other volatile organic compounds, heavy metals,
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    and other pollutants that are emitted at much smaller doses.
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    But typically an air permitting authority would look at
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    the total sum of all the HAPs in that emission rather than individual HAPs.
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    So we have, we’ll start with a, a mass balance problem,
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    much like we did earlier in, in looking at water.
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    So we have a city with a given area that has a daily lead emission rate of 5,000 kg/d.
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    Typically, those would be from auto exhaust and other industrial processes.
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    Background concentrations of lead we’re going to be given at .1 mcg/m3.
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    Now during a hot summer day we have a mixing height of 500 meters
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    and a wind speed of 2 m/s.
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    So you’ll see when we set up the box model those are variables
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    that we need to look at a mass balance and a flow of air
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    through a given control volume.
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    So we have emissions of lead at 5,000 kg/d,
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    but we also have lead deposition from the atmosphere at .05 cm/s.
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    So our question is what is the steady state lead concentration in the urban air?
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    So remember when we started to talk about mass balance equations,
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    you have to get into your mind the thought that
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    is this steady state or non-steady state?
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    Is this a conservative pollutant or a non-conservative pollutant?
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    So with the information we have here,
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    everybody raise your hand who thinks this is a steady state problem?
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    Please more hands or else you’re going to have a rough time in two weeks.
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    Okay. This is a definite, we’re asking what’s the steady state lead concentration.
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    Second question, is this is a conservative or a non-conservative pollutant?
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    Conservative, raise your hands.
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    Okay. This, this is a conservative pollutant.
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    We’re not transforming lead.
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    We’re not degrading lead.
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    Now it, it’s going to be emitted and it’s going to be deposited,
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    and that’s going to be part of our mass balance equation,
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    but we’re not going to be changing the form of lead in the, in the problem.
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    Okay, so this is our box model.
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    And we we’re given the area of Leadville,
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    so those will be inputs into our calculations.
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    We set up an atmospheric mixing height that was given in the problem as 500 meters.
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    So we have our control volume for the air pollution problem.
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    It’s going to be the area of the city times the mixing height of the problem.
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    So we have our control volume.
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    We will have a wind velocity going in and out of that control volume.
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    We were given a pollutant emission rate M,
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    that was for lead in kilograms per day.
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    We also have a pollutant deposition velocity Vd.
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    So those are the, the parameters around the control volume.
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    So as we did before, we can set up a mass balance equation
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    looking at the change of mass over time being equal to the mass in minus the mass out,
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    plus whatever mass is reacted.
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    So we said this was a steady state problem,
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    so the dm/dt is going to be equal to 0.
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    Lead is not going to be transformed in this problem.
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    We’re not, it’s not going to be reduced or oxidized.
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    It’s, it’s not changing any, any forms,
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    so we’ll have masses going in and out as part of the mass balance,
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    but no reaction of lead.
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    So the first thing we can do is a mass balance on the air.
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    If you remember when we did these water problems,
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    the first thing we did was look at the mass balance on the water,
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    and the mass balance on the air is going to be pretty straightforward.
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    It’s going to be the flow times the density of air.
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    The mass of air going out is going to be the flow out times the density of air going out,
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    and we can set these equal to each other.
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    We know mass in is going to equal mass out and we can substitute a term,
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    rather than the flow times the density we can use the,
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    the velocity times the, times the cross-sectional area.
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    Okay, so our next step is to look at the mass balance on the pollutant.
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    So again, looking at this mass balance model,
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    again our flow in is going to be flow out.
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    So we’ve, we’ve settled that.
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    So our mass going into our control volume is going to be
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    the flow times the concentration coming in plus M, our mass emissions rate.
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    So we have lead in the background that’s coming into our control volume
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    and we have a lead emission rate within that control volume.
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    Our mass leaving that control volume will be the flow times
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    the concentration going out at that border plus the depositional velocity times
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    the cross-sectional area of that city times the concentration.
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    So again, we said this was going to be a steady state problem,
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    so mass in is going to equal mass out.
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    So we can substitute a few terms.
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    Rather than Q we can use the cross-sectional velocity or
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    the wind velocity times the cross-sectional area of the Leadville,
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    substituting that for Q and so again we set up terms mass in,
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    concentration plus the emission rate, mass out,
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    flow times concentration out plus the depositional rate.
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    So again, lead is not being transformed.
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    It’s either physically coming in or out of the system.
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    Okay, so we can set up our mass balance equation
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    for the pollutant that the mass in is going to be the mass out.
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    We can rearrange terms and solve for concentration out.
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    We didn’t carry all the units,
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    but at home make sure that you double check that you carry the units through
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    and that they’ve been cancelled out properly.
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    And we get a concentration out at .55 mcg/m3.
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    Okay, so very similar to the problems we solved before.
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    Steady state conservative pollutant so we can set the mass in equal to the mass out.
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    The only thing that’s a little different here is
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    you have to make sure you understand how we set up the control volume
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    and that we are given a mass emission rate and lead deposition rate.
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    So those are again in and out of the system.
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    Okay, any questions on setting up a mass balance for air?
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    It’s a control volume like anything else.
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    We just have to make sure that when you do these calculations
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    that you carry the units properly.
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    You may be given units to convert in an exam problem.
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    So you have to understand how to do that. Okay.
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    So we if we look at the way our, our mass balance equation
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    is set up in terms of Cout, the question is how can we lower that Cout?
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    You know if we want to reduce lead emissions there are a couple obvious answers.
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    I mean we certainly can reduce the mass emissions rate.
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    You know if we reduce M, then Cout is going to be reduced.
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    The other opportunity here is if we have a very low, low background.
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    If we increase Z, the mixing height or the wind velocity,
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    it will also reduce the concentration going out.
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    So you know we don’t have control over these issues,
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    but certainly we can control the emissions rate for lead.
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    So now let’s throw another curve ball into the problem.
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    Let’s say that we now want to find out how long it would take
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    to reduce our air pollution, our Cout,
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    if we had a sudden change in emission rate or wind speed.
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    Let’s say that again we, we found some mechanism to reduce the lead emissions.
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    Well again now this, is this a steady state or a non-steady state problem?
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    Steady state, raise your hands.
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    Uh, no. You’re going to have problems in a couple weeks.
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    We’re changing, we’re changing the temporal variable here.
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    We’re looking at a change in time to see a change in, in concentration.
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    So dmdt is not 0. That’s what we’re looking for.
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    So we have to go into our, again you,
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    you’d be given this solve solution for the differential equation.
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    But the first thing when you hit these problems,
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    you have to ask yourself is it steady state or not.
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    So we’re looking at a change in concentration over time,
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    so it’s going to be non-steady state.
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    Conservative or non-conservative pollutant?
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    Conservative?
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    I know it’s the end of the day on Thursday.
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    But this will wake you up.
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    Conservative, yes it is a conservative pollutant.
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    We haven’t changed anything with respect to lead.
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    No reactions. Those conditions are the same.
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    So again, when you look at these problems
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    you’re going to have to ask yourself is this a steady state problem or not.
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    Are we looking at a change, dcdt, or not?
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    Okay. So that’s a way to solve our mass balance equations.
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    Now we’re going to start talking a little bit about chemistry.
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    So what is smog? And of course it comes from the term smoke and fog.
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    In your readings, in that extra handout that you received,
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    there’s an introduction to the reading that was in the course pack
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    and it talked about air pollution episodes in London.
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    And we talked about Donora in class a few, a few lectures ago.
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    So in those cases, you had water droplets that had both sulfur dioxide
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    and particulate matter in them,
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    and that smog again was formed primarily from the particulate matter and smoke.
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    And the SO2 that absorbed that can cause in particulate matter causes
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    some serious health effects. Now that does not require any sunlight to form.
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    That’s, that’s a straight physical phenomenon and the cause of smog
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    that we have seen in urban environments and the cause of smog that we see in Beijing.
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    So here’s some photos of some traditional smog scenarios.
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    It can often occur in the winter when temperature inversions can trap pollutants
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    and we form these water droplets with sulfur dioxide and particulate matter.
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    Again, this does not require sunlight.
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    So, and these are pretty, pretty gnarly conditions.
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    I don’t know if you any of you’ve experienced these in a heavy urban environment,
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    but they cause respiratory distress and, and other health effects.
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    So now we’ll move into photochemical smog and
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    the one that’s become a much larger issue of concern.
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    So what can cause smog?
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    Well again we have these fine particles that are discharged in power plants primarily.
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    If we are using diesel fuels,
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    those can also have particulate matter in their discharge pipes.
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    So again, these fine particles can blend with the water dot,
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    droplets in fog and cause this smog, which can be deposited.
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    What we’re going to be looking at further will be photochemical smog,
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    which is formed primarily due to NOx, meaning NO or NO2.
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    I’ll use that as an abbreviation, but NOx, nitrogen oxides,
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    that are discharged along with volatile organic compounds in a variety sources.
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    Those are discharged from factories.
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    You know if you have a boiler that is generating heat,
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    that boiler will discharge NOx and some volatile organic compounds.
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    Of course at a refinery or other chemical plant as a chemical process,
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    you can have NOx and, and VOCs discharged.
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    Vehicles will discharge NO as the primary pollutant and VOCs from the tailpipes.
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    So you have a number of sources of NOx and VOCs that
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    I’ll show you can form ozone in the troposphere.
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    Again this is the bad ozone.
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    You may recall that the stratospheric ozone,
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    that ozone blocks some very powerful UV radiation and
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    so we want to keep that ozone in the atmosphere.
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    This, this ozone that we’re generating as you’ll see shortly has a number
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    of health effects and other chemical effects that are, that are not good.
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    So what’s photochemical smog?
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    Well we generally have to look at the impact of volatile organic compounds and
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    NOx in a photochemical reaction that’s going to generate smog.
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    Now in this definition we’re calling smog essentially the photochemical oxidants primarily ozone.
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    So this is in again the, these droplets that will contain sulfur dioxide
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    and particulate matter, we’re talking primarily about production of ozone.
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    One little number to keep in the back of your mind is that
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    the National Ambient Air Quality Standard for ozone is 120 ppb,
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    and so this is the trip for, for other activities.
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    So what’s the big deal with ozone?
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    Well it’s an irritant.
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    Again, it’s an oxidant and so it can irritate your respiratory system.
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    It can be an eye irritant.
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    So it’s again something that you don’t want to be around,
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    especially if you’re sensitive populations.
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    But there are other effects according to, other effects that follow
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    from higher ozone levels.
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    Ozone actually causes 90% of the damage to agriculture.
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    It can impact tree foliage and can stunt growth.
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    Crop damage due to ozone may exceed $2 to $3 billion a year,
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    which is again a significant part of our agricultural productivity, 2% to 3%.
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    Now the benefit is that again a lot of these agricultural areas
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    are outside of areas with significant ozone production,
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    but ozone is transported in ambient air.
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    So it, it has an impact on our, on our agriculture.
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    Well tire life, I mean all of us drive vehicles,
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    but tires breakdown these days not so much due to typical tread wear,
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    but also by sidewalls deteriorating due to the presence of ozone.
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    Again ozone is an oxidant.
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    So it’s going to breakdown rubber and it will have an impact on your tires.
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    So other evidence of smog damage include fading and cracking of paints
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    and some accelerated metal corrosion.
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    So we talked a bit about the chemicals that are responsible for smog production.
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    When we combust air, you know we use air in to, for combustion,
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    it’s a mix of primarily nitrogen and oxygen.
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    Well that combustion will cause the formation of NO, which is our primary pollutant.
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    But the NO can combine further with oxygen to cause NOx or NO2.
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    So this NOx is what will react then with sunlight to, to form this oxygen atom.
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    And this oxygen atom is highly reactive and that will combine with oxygen to form ozone.
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    So our combustion doesn’t directly form ozone,
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    but the combustion product, NOx, will again react with sunlight to form this oxygen atom,
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    which will then combine with oxygen to form ozone.
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    So ozone doesn’t keep building and building and building.
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    Ozone is then degraded by NO.
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    It will react with NO to form NO2 and oxygen.
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    So you know the, the concentration of ozone in the troposphere
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    is a balance between ozone production of course and ozone degradation.
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    So looking at this in kind of a process model.
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    We have emissions, again whether this comes from a boiler, from a power plant,
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    from a vehicle, we’re going to produce NO, which will again form to NO2 formation,
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    which can again cycle back to NO.
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    That NO2 generates free oxygen, which will react with oxygen,
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    molecular oxygen to form ozone. So this reaction does require sunlight.
  • 22:17 - 22:22
    So you’ll see some temporal variation of course, in the production of ozone,
  • 22:22 - 22:28
    you need sunlight to get this oxygen atom produced to form ozone.
  • 22:28 - 22:32
    So you see again we have a balance.
  • 22:32 - 22:39
    The nitrogen dioxide produces free oxygen, the oxygen atom which produces ozone,
  • 22:39 - 22:43
    and yet we have NO that’s going to destroy ozone,
  • 22:43 - 22:48
    and that balance is going to determine the ambient ozone level.
  • 22:48 - 22:53
    So we if we look at equilibrium ozone concentrations
  • 22:53 - 22:57
    as a function of the initial NOx concentration,
  • 22:57 - 23:04
    everything is going to be dependent on the ratio of NO2 to NO.
  • 23:04 - 23:11
    So we can calculate, we can use equilibrium concentrations to generate this,
  • 23:11 - 23:17
    our ozone concentration as a function of these reaction rate constants,
  • 23:17 - 23:22
    which will be dependent on sunlight, and our NO2 and NO concentrations.
  • 23:22 - 23:30
    So if we look at the NO2 to NO ratio at .2, at a ratio of .2,
  • 23:30 - 23:35
    that equilibrium ozone concentration will be pretty low.
  • 23:35 - 23:41
    If we start, if we raise that ratio to .6,
  • 23:41 - 23:45
    our equilibrium ozone concentration will still be low,
  • 23:45 - 23:48
    but it will still be increasing of course.
  • 23:48 - 23:51
    But as we get to a ratio of 1,
  • 23:51 - 23:55
    then our equilibrium concentration starts to produce ozone
  • 23:55 - 24:04
    and it’s greater than the rate that ozone is, is degraded.
  • 24:04 - 24:10
    So this equilibrium ratio of NO2 to NO is the,
  • 24:10 - 24:14
    you know the tripping factor that’ll drive whether
  • 24:14 - 24:19
    we’re producing ozone or whether we’re degrading it.
  • 24:19 - 24:22
    So how do VOCs fit in the mix?
  • 24:22 - 24:31
    Well the VOCs don’t generate ozone directly.
  • 24:31 - 24:36
    But again we can have production of this molecular,
  • 24:36 - 24:41
    of this atomic oxygen with water to form these two hydroxyl radicals,
  • 24:41 - 24:45
    and those hydroxyl radicals are very reactive.
  • 24:45 - 24:49
    Those radicals will react with a hydrocarbon.
  • 24:49 - 24:53
    In this case, you know we’re calling R, our hydrocarbon chain,
  • 24:53 - 24:58
    this can be methane, ethane, you know a larger hydrocarbon chain.
  • 24:58 - 25:01
    R is just going to be our symbol for those organics.
  • 25:01 - 25:07
    So it will react with that hydroxyl radical and nitrous oxide and oxygen
  • 25:07 - 25:16
    to form more of this NO2, as well as the reactive radical
  • 25:16 - 25:24
    that will continue to form some NO2, and this is kind of an ongoing chain.
  • 25:24 - 25:27
    So this, these hydrocarbons will generate these free radicals
  • 25:27 - 25:31
    and kind of fuel the production of NO2.
  • 25:31 - 25:40
    So what happens is we wind up essentially using up the NO that would typically
  • 25:40 - 25:45
    be used to degrade the ozone, we’re going to form NO2,
  • 25:45 - 25:48
    which will thereby form more ozone.
  • 25:48 - 25:53
    So this is a kind of a, a positive feedback mechanism
  • 25:53 - 25:57
    where we generate more ozone then is destroyed.
  • 25:57 - 26:02
    So in Los Angeles we’ve got some geographic factors
  • 26:02 - 26:06
    that can cause for these buildups of ozone.
  • 26:06 - 26:10
    The first is we can have temperature inversions.
  • 26:10 - 26:15
    So essentially our mixing height within the urban area is small.
  • 26:15 - 26:19
    It essentially puts a lid on our airshed keeping the, essentially reducing
  • 26:19 - 26:25
    that control volume, so increasing our concentration of ozone.
  • 26:25 - 26:32
    If we have low wind speeds, again we’ll have fewer air exchanges
  • 26:32 - 26:38
    and that will also increase the concentration of ozone within that control volume.
  • 26:38 - 26:43
    Sunlight will drive production of this atomic oxygen,
  • 26:43 - 26:48
    which will again react with molecular oxygen to form ozone.
  • 26:48 - 26:53
    And vehicles will produce NO and then NO2, and of course VOCs
  • 26:53 - 27:01
    that will fuel this free radical production to generate more NO2.
  • 27:01 - 27:09
    So if we look at the buildup of NO, NO2, and ozone in L.A.,
  • 27:09 - 27:18
    this is a fairly typical sort of production curve of nitrogen dioxide and,
  • 27:18 - 27:21
    and nitric oxide in the atmosphere.
  • 27:21 - 27:27
    Remember that 122 ppb is our maximum daily one-hour average.
  • 27:27 - 27:33
    So this would be sort of the cut-off for the National Air Ambient Quality Standard.
  • 27:33 - 27:35
    So typically we can hit that or come close to hitting
  • 27:35 - 27:38
    that in L.A. in the late morning.
  • 27:38 - 27:40
    You know we’ve got commuter traffic.
  • 27:40 - 27:42
    We’re generating a lot of VOCs.
  • 27:42 - 27:45
    These reactions occur fairly quickly,
  • 27:45 - 27:49
    so we’ll get an increase production of, of NO2
  • 27:49 - 27:53
    because of the emissions out of the tailpipe,
  • 27:53 - 27:57
    as well as the hydroxyl radical formations
  • 27:57 - 28:00
    from the hydrocarbons that are discharged to get a peak
  • 28:00 - 28:05
    of ozone formation in the late morning.
  • 28:05 - 28:09
    If you look in your readings that are some additional figures
  • 28:09 - 28:13
    that show ozone concentration profiles over time.
  • 28:13 - 28:16
    There was a figure in the reading from Massachusetts
  • 28:16 - 28:20
    that showed this sort of morning peak due to commuting and
  • 28:20 - 28:28
    then a later afternoon/early evening peak because of transportation of,
  • 28:28 - 28:35
    or migration of ozone into that urban airshed at a later time
  • 28:35 - 28:37
    from another up gradient site.
  • 28:37 - 28:41
    So ozone in the local atmosphere will be dependent
  • 28:41 - 28:48
    not only on the sunlight and wind speeds and temperatures
  • 28:48 - 28:51
    and that big urban commute in the morning,
  • 28:51 - 28:55
    but you can also have ozone then transported into your urban airshed. Go ahead.
  • 28:55 - 29:02
    [Student Inaudible]
  • 29:02 - 29:05
    Probably because the sunlight goes down.
  • 29:05 - 29:08
    We don’t have as intense of radiation at that time,
  • 29:08 - 29:12
    which again drives the formation of, of the NO2 and those radicals.
  • 29:12 - 29:17
    So it’s fairly typical to see this curve drop off later in the day,
  • 29:17 - 29:21
    because just the sunlight isn’t strong.
  • 29:21 - 29:27
    Well here’s some photographs of Santiago, Chile.
  • 29:27 - 29:34
    Fairly similar scenario with L.A. in that you’ve got an urban population in a valley,
  • 29:34 - 29:38
    and so late morning things are actually not looking too bad,
  • 29:38 - 29:44
    but by late afternoon with the buildup of vehicle traffic and the sunlight,
  • 29:44 - 29:49
    we’ve got smog formation that really impacts visibility.
  • 29:49 - 29:56
    Okay. So we have talked a bit about our box model for urban ozone formation.
  • 29:56 - 30:00
    Again, the, the parameters to remember that are important
  • 30:00 - 30:04
    will be the wind velocity, the emission rate, the deposition velocity,
  • 30:04 - 30:09
    and of course the geometry that you need to set up your control volume.
  • 30:09 - 30:13
    So you know and we, we can set up these mass balance equations,
  • 30:13 - 30:17
    that emission rate is going to be a really important number.
  • 30:17 - 30:20
    Our deposition rate, which is often quite unknown,
  • 30:20 - 30:22
    is going to be an important number,
  • 30:22 - 30:26
    and again whether we have any reaction of the material.
  • 30:26 - 30:34
    Now we can look at box models for ozone including VOCs inputs
  • 30:34 - 30:37
    and NOx inputs and that’s of course well beyond the,
  • 30:37 - 30:42
    the scope of this course, but we can come up with models
  • 30:42 - 30:48
    that will predict ozone formation based on an initial VOC concentration.
  • 30:48 - 30:53
    So remember when VOC levels are high there’s,
  • 30:53 - 30:58
    there’s still plenty to convert NO to NO2.
  • 30:58 - 31:04
    But we have to remember that, that NO destroys ozone, but NO2 creates it.
  • 31:04 - 31:09
    So this graph just looks at total carbon in an atmosphere and
  • 31:09 - 31:16
    we certainly see the increase of ozone production with an increase in VOCs.
  • 31:16 - 31:19
    Now looking at the magnitude of these things,
  • 31:19 - 31:24
    you know when you’re already out in the kind of plateau area of this curve,
  • 31:24 - 31:27
    you can look that you know if you reduce VOCs by 20%,
  • 31:27 - 31:32
    you’re just not going to have much of an impact on ozone production.
  • 31:32 - 31:36
    You’re really in an insensitive part of the model to VOC production.
  • 31:36 - 31:41
    You’ve really got to get down to some much lower concentrations of VOCs.
  • 31:41 - 31:45
    In this case, you know we went from an 80% reduction in VOCs
  • 31:45 - 31:49
    and that had a 30% impact on ozone production.
  • 31:49 - 31:53
    So again these models are, are dependent on VOCs,
  • 31:53 - 31:55
    but once we get out into these plateau areas
  • 31:55 - 32:00
    it’s going to be fairly insensitive to any reductions in VOCs.
  • 32:00 - 32:08
    So we look at ozone creation as a function of the NOx concentration.
  • 32:08 - 32:16
    We have our initial NOx concentrations and our ozone production actually peaks,
  • 32:16 - 32:22
    and then it starts to drop off. So why does that happen?
  • 32:22 - 32:26
    I mean you would think intuitively well if I decrease NOx
  • 32:26 - 32:28
    then I should decrease ozone.
  • 32:28 - 32:36
    But remember that when we produce NO2 we’ll also produce some NO at some point
  • 32:36 - 32:40
    and so as we start to produce NO, that’s going to destroy ozone
  • 32:40 - 32:46
    and it’s going to decrease the ozone concentrations in our model.
  • 32:46 - 32:50
    So in this case, if our ozone, if our NOx concentrations are high,
  • 32:50 - 32:53
    let’s say in that 122 ppb range,
  • 32:53 - 32:57
    you may think well let’s reduce NOx to reduce our ozone,
  • 32:57 - 33:00
    but actually according to that equilibrium model,
  • 33:00 - 33:05
    we’ll actually increase the ozone concentrations because we aren’t producing as much NO,
  • 33:05 - 33:09
    which degrades the ozone.
  • 33:09 - 33:11
    So you’ve really got see where you are in the model.
  • 33:11 - 33:15
    You can’t automatically assume that okay I’m going to reduce VOC concentrations,
  • 33:15 - 33:20
    I’ll get an ozone reduction, or I’m going to reduce NOx concentrations,
  • 33:20 - 33:22
    I’ll get an ozone reduction.
  • 33:22 - 33:28
    It really depends on the actual concentrations and where you are in the model.
  • 33:28 - 33:37
    Okay. We’re going to look, kind of finish up our lecture today
  • 33:37 - 33:40
    looking at some isopleth diagrams.
  • 33:40 - 33:45
    It really can provide a roadmap as to how to deal with elevated ozone concentrations.
  • 33:45 - 33:54
    So we can use these models to essentially come up with a contour map for ozone.
  • 33:54 - 33:55
    This is really what this is.
  • 33:55 - 34:02
    So we’ve plotted the ozone concentrations as a function of VOCs and NOx.
  • 34:02 - 34:09
    So of course as you know we go and increase VOCs and increase NOx concentrations,
  • 34:09 - 34:15
    our, essentially our isocontour lines for ozone concentrations here will increase.
  • 34:15 - 34:19
    So using those model calculations for, you can,
  • 34:19 - 34:25
    if you have a given concentration of VOC and a given concentration of NOx,
  • 34:25 - 34:30
    you can predict your result in ozone concentration to see where you are on this map.
  • 34:30 - 34:38
    So if you for example at .6 ppm of VOCs and about 120 ppb of NOx,
  • 34:38 - 34:44
    you’d expect an ozone concentration of 240 ppb.
  • 34:44 - 34:54
    So the, so any, any questions about what we’re looking at on these isopleth figures?
  • 34:54 - 34:57
    So essentially we’re using our equilibrium model.
  • 34:57 - 35:02
    We’re inputting a given concentration for VOCs, a given concentration for NOx,
  • 35:02 - 35:08
    and it’s going to tell us really where we are in terms of the ozone concentration.
  • 35:08 - 35:16
    So we can use these models to try to decide what we’re going to do if,
  • 35:16 - 35:21
    you know how to address a given ozone concentration.
  • 35:21 - 35:25
    So in this model we’ve identified what’s called a ridge line and
  • 35:25 - 35:34
    it really divides where we are in ozone concentrations with respect to NOx versus VOCs.
  • 35:34 - 35:39
    So if we are looking at this part of these isopleth diagrams,
  • 35:39 - 35:41
    we’re essentially NOx limited,
  • 35:41 - 35:47
    which means that the ozone production is really driven by the NOx concentration.
  • 35:47 - 35:53
    We can vary VOCs all we want, but we’re not going to impact the VOC concentration at all.
  • 35:53 - 35:59
    Similarly, where in this part of the isopleth diagram, we’re in a VOC limited regime.
  • 35:59 - 36:04
    So we can change the NOX concentration really all we want,
  • 36:04 - 36:10
    but, we can kind of go up and down the NOx curve, the NOx concentration,
  • 36:10 - 36:14
    but we’re not going to change the ozone concentration very much.
  • 36:14 - 36:18
    We again this is based on the interplay between VOCs and NOx
  • 36:18 - 36:21
    and their associated rate constants.
  • 36:21 - 36:24
    Now we’ve got a couple of different ways
  • 36:24 - 36:29
    to look at ozone concentrations based on, on VOCs.
  • 36:29 - 36:33
    One method is to use a carbon mass approach.
  • 36:33 - 36:39
    So for example here, we’re looking at all VOCs essentially as if they were equal.
  • 36:39 - 36:46
    So compounds with larger masses would have a larger impact on the ozone production.
  • 36:46 - 36:50
    And, and that’s not a particularly accurate model.
  • 36:50 - 36:54
    We have another model where we can look at reactive organic gases.
  • 36:54 - 36:57
    So rather than looking at VOCs as a bulk,
  • 36:57 - 37:00
    we can look at specific reactive gases and that’s a,
  • 37:00 - 37:02
    that’s a little more accurate model.
  • 37:02 - 37:06
    We can look at overall chemical reactivity and
  • 37:06 - 37:08
    I’ll show you a table that looks at that,
  • 37:08 - 37:11
    and that’s again a pretty good representation.
  • 37:11 - 37:16
    But the best methodology that’s out there now looks at maximum incremental reactivity,
  • 37:16 - 37:20
    and what that, what this ratio is,
  • 37:20 - 37:27
    is really looks at the amount of ozone produced for a given change in VOC concentrations.
  • 37:27 - 37:31
    Not all VOCs are created like, alike.
  • 37:31 - 37:36
    Some will be responsible for a greater ozone production than others,
  • 37:36 - 37:39
    and so the, we have an opportunity to look at that
  • 37:39 - 37:43
    through this maximum incremental reactivity value.
  • 37:43 - 37:49
    The California Air Quality Board essentially uses these values
  • 37:49 - 37:52
    to look at emissions of specific VOCs.
  • 37:52 - 37:55
    So again not all VOCs are, are alike.
  • 37:55 - 37:59
    So by using these, these maximum incremental reactivity numbers
  • 37:59 - 38:06
    we can get a much more accurate feel for ozone production for a given VOC emission.
  • 38:06 - 38:09
    Any questions about these approaches?
  • 38:09 - 38:13
    Okay. So again there were some problems in your reading
  • 38:13 - 38:20
    that you should take a look at because you were given a set of VOC, NOx,
  • 38:20 - 38:24
    and ozone concentrations and you have to decide really
  • 38:24 - 38:28
    where you were on the curve and whether changing the NOx or
  • 38:28 - 38:31
    changing the VOCs would have an impact on ozone.
  • 38:31 - 38:38
    So hint-hint for the exam, make sure you understand how to use these diagrams.
  • 38:38 - 38:40
    All right.
  • 38:40 - 38:44
    This is a table that looks at a whole series of VOCs
  • 38:44 - 38:48
    and compares reactivity constants.
  • 38:48 - 38:53
    In other words, what kind of hydroxyl radical production rate could we have
  • 38:53 - 38:58
    versus this maximum incremental reactivity number,
  • 38:58 - 39:03
    which is again a ratio of ozone formed per, per gram of VOC emitted.
  • 39:03 - 39:09
    And the interesting thing about this table is that these data don’t always match up.
  • 39:09 - 39:14
    So the hydroxyl radical formation isn’t necessarily parallel
  • 39:14 - 39:18
    to the maximum incremental reactivity.
  • 39:18 - 39:24
    Now the numbers that we’re most concerned about with the MIR
  • 39:24 - 39:27
    are values that are generally 5 and above.
  • 39:27 - 39:35
    So if we have compounds like ethane, n-octane, propene, trimethyl benzene,
  • 39:35 - 39:38
    you know those are going to be responsible
  • 39:38 - 39:43
    for more significant ozone production than compounds like methane or, or.
  • 39:43 - 39:43
Title:
Ozone and Photochemical Smog
Video Language:
English
Duration:
39:44

English subtitles

Revisions