|
PEAC is pronounced
PEEK
| ARCHIVE |
October
2003 October 20, 2003 Vol. 2 Issue 6
|
September
2003 September 17, 2003 Vol. 2 Issue 5
|
August
2003 August 15, 2003 Vol. 2 Issue 4
|
July
2003 July 15, 2003 Vol. 2 Issue 3
|
June
2003 June 17, 2003 Vol. 2 Issue 2
|
May
2003 May 16, 2003 Vol. 2 Issue 1
|
April
2003 April 17, 2003 Vol. 1 Issue 12
|
March
2003 March 17, 2003 Vol. 1 Issue 11
|
February
2003 February 17, 2003 Vol. 1 Issue 10
|
January
2003 January 24, 2003 Vol. 1 Issue 9
|
December
2002 December 31, 2002 Vol. 1 Issue 8
|
November
2002 November 26, 2002 Vol. 1 Issue 7
|
October
2002 October 31, 2002 Vol. 1 Issue 6
|
September
2002 September 23, 2002 Vol. 1 Issue 5
|
August
2002 August 21, 2002 Vol. 1 Issue 4
|
Issue
3, July 2002 July 17, 2002 Vol. 1 Issue 3
|
Issue
2, June 2002 June 17, 2002 Vol. 1 Issue 2
|
Issue
1, May 2002 May 17, 2002 Vol. 1 Issue 1
| | |
 |
 |
 |
Technical
Dialogue by John S. Nordin, Ph.D.
COMMON SENSE CORRECTIONS TO AIR
DISPERSION MODELS FOR TOXIC CHEMICAL RELEASES
Why are corrections needed?
The air dispersion models predict
downwind average concentrations as a function of
distance from the release. The user specifies
information on the release strength (e.g.
kilograms/minute), basic meteorology (wind speed, cloud
cover, time of day, etc.), and the distance downwind;
the model then predicts the concentration at that
location. The PEAC tool does the same basic calculations
except that the user specifies a concentration
representing a level of concern, and the PEAC tool
calculates the distance downwind corresponding to that
level of concern.
The problem is that the real world is
more complicated. The wind speed and direction fluctuate
even on a second-by-second basis. Very complicated wind
patterns occur as the wind interacts with buildings and
with terrain. The sun heats the ground during the day
causing the air near the ground to rise resulting in
turbulent or unstable air conditions. Many air toxic
releases are finely divided particulate matter or an
aerosol (e.g. from an explosion, fire, or even a hole in
a tank or pipe under pressure) rather than a gas. These
particulates or aerosols can partly deposit and
contaminate surfaces as they travel downwind. Even after
the plume cloud containing the toxic chemical has
passed, there may still be residual pockets of
contaminated air in crevices, ditches, or even inside
buildings.
Air dispersion models that use
mathematical algorithms to predict downwind
concentrations cannot deal with these complications
except in a very rudimentary way. Even if the
mathematics could be developed, the model would ask the
user to input very detailed information on the situation
and terrain. The user probably would not have available
this information.
Much more useful is for the model to
ask the user very basic information that is easy to
understand. The air dispersion model then calculates an
estimate of the downwind concentration as a function of
distance (or calculates the distances corresponding to
different downwind concentrations). This is helpful in
predicting evacuation distances and safe entry after an
incident. The emergency responder should be aware of
situations and common sense rules that result in higher
concentrations than predicted by the air dispersion
models and take the necessary precautions.
Let us look at some of these
situations that can result in higher concentrations than
predicted by toxic gas dispersion
models.
Fluctuating Wind Conditions and Air
Toxic Concentrations
Imagine a situation where a toxic
chemical is released at a constant rate at ground level.
The prevailing wind is from the southwest at a fairly
constant speed. The terrain is flat. The wind is strong
enough and conditions are later in the day so we won’t
have to worry about the air turbulence resulting from
ground solar heating. Now imagine that we have placed
instrumentation to measure air speeds and directions at
many locations and heights downwind and upwind of the
toxic chemical release point. We have also done the same
with chemical sensors, placing them at various heights
and locations downwind, crosswind, and even a few upwind
of the release point. What would we find? What would
data from all this instrumentation look like?
The August-September 1995 series of
tests (called “Kit Fox”) performed at Frenchman’s Flat
at the Department of Energy Haz Mat Spill Center
northeast of Mercury, Nevada, did just that. Carbon
dioxide was used as a surrogate for a toxic chemical
release; the chemical sensors were corrected to measure
only the carbon dioxide concentration above background.
Close to 100 tests were performed under a variety of
meteorological conditions ranging from daytime steady
wind conditions to near nighttime conditions when the
winds have for all practical purposes ceased. The
releases varied from short 15-second puffs to steady
constant releases lasting many minutes. Some of the
tests were done with plywood structures representing
buildings in the path of the carbon dioxide plume as it
traveled downwind. These tests were sponsored in part by
DOE, EPA, and by 10 petroleum and chemical companies.
If the data from any of these wind or
carbon dioxide measuring sensors are plotted over time,
there are considerable fluctuations, as seen in the
examples below.

For the example presented, the wind
sensor was placed two meters above the ground. The time
represents hours since midnight (standard time) on
August 28, 1995. Data was recorded at one-second
intervals
The graphs show considerable
fluctuations of wind speed and direction with time. The
third graph is a 15-minute blowup of a section of the
second graph which expands 3 hours.
These fluctuations were not unique to
the sensors used or for the date of the measurements.
All wind sensors showed fluctuations. Measurements taken
at other locations by other organizations also show
similar fluctuations. If sonic anemometers are used to
record data, fluctuations on a very small time scale can
be seen.
A lot of factors influence the
magnitude of fluctuations. These include the degree of
solar heating or ground cooling, the terrain, presence
of buildings and other structures, the height at which
the wind is measured, and weather.
Now let us see what happens if we
release 1.50 kg/sec of carbon dioxide at ground level
for two minutes into the atmosphere. A sensor measuring
the carbon dioxide concentration downwind of the release
point might yield a time plot as shown above. For these
tests, about 90 carbon dioxide sensors were employed at
various locations; this is an example. The average
concentration as seen by the sensor was about 9000 ppm
carbon dioxide (ignoring the initial buildup and
tail-off at the end), but because of wind fluctuations
and extent of mixing into the air, the instantaneous
concentration was as high as 16000 ppm.
In addition to small-scale
fluctuations in concentration, the toxic cloud can
meander in and out of the centerline location. In the
example shown above, the cloud centerline meandered away
from the sensor resulting in lower concentrations
towards the end of the two-minute release period. Also,
the duration of the cloud as it passed over the sensor
was somewhat longer than two minutes. The cloud tends to
spread out laterally, horizontally, and vertically as it
travels downwind.
The gas dispersion models in the
public domain including the models in the PEAC tool
predict average concentrations and do not predict spikes
or peak concentrations. Peak concentrations are of most
concern when dealing with highly toxic chemicals where
one or two breaths may be fatal or incapacitating.
Meander can be corrected by assuming that the highest
concentration passes over the receptor, e.g., the worst
case. The PEAC tool assumes that the toxic cloud has
“meandered” such that the highest concentration is at
the protective action distance downwind of the release.
However the models in the PEAC tool (and also ALOHA,
SLAB, and other models) do not consider fluctuations,
where “slugs of toxic chemical” might pass over the
receptor. Some models ask the user to specify a term
called the “concentration averaging time”; if the user
specifies a short averaging time (e.g. one minute), the
model will predict higher concentrations at the cloud
centerline. A long time (e.g. 1 hour) specified would
predict a lower concentration because of normal meander.
However concentration spikes occurring because of
localized wind shifts and eddies formation are not
predicted.
What Happens if the Winds Die Down
Completely?
A test at the DOE Haz Mat Spill
Center (part of the Kit Fox series of tests performed
during August and September 1995) fit this weather
condition. Carbon dioxide was released at ground level
at a constant rate for a period of 6 minutes under
almost nighttime conditions and clear skies. The winds,
which were about 1 meter per second at the start of the
test, essentially quit at the end of the test. The
carbon dioxide pooled over the ground and remained there
during the night. But there were still considerable
concentration fluctuations as the air slouched around
the measuring sensors.
Chlorine was released through windows
from a building at Springfield MA one June evening about
13 years ago as a result of an accident. Weather
conditions were overcast, with no wind at all.
Residences in the area within a few miles of the release
site reported chlorine odors during the night, and
evacuations took place. There was no correlation between
elevation or direction from the source. The chlorine gas
apparently skipped around with no apparent pattern.
Chlorine odors were present at some locations far from
the site and absent at closer locations.
The
Urban Environment
Most models including the models in
the PEAC tool allow the user to either input a surface
roughness length or select between choices of (1) flat,
open terrain, (2) cropland or light residential, or (3)
urban or forest conditions. The effect of buildings and
other structures is to help break up and disperse the
toxic chemical cloud as it travels downwind. Therefore
the toxic cloud is wider, higher, but less concentrated
at the centerline than if it passed over a flat surface.
Plywood structures simulating
buildings were placed in the path of the plume cloud for
the carbon dioxide release tests as part of Kit Fox
(August-September 1995 tests in Nevada). The tests
verified that the plume cloud was taller and wider
compared with flat terrain because the structures tended
to break up the cloud. But the tests also demonstrated
many anomalies. These included (1) parts of the carbon
dioxide cloud traveling upwind, (2) a taller carbon
dioxide cloud than predicted by models, (3) sometimes
higher concentrations measured at several meters above
the ground than at the ground surface, and (4) a long
time to scour out the residual carbon dioxide from the
structures after the cloud passed. Some of these
anomalies could also be demonstrated in a wind tunnel,
but the wind tunnel could never simulate the large-scale
tests outdoors under stable, nighttime conditions (the
so-called “F” stability).
Gas dispersion models predict average
conditions. They do not predict peak concentrations
because of wind fluctuations or anomalies because of
wind patterns around buildings. Some anomalies are as
follows:

- The local wind conditions may not
match the prevailing wind because of circulation
patterns induced by buildings. In the case of a toxic
chemical release, concentrations can build up between
buildings and take a long time to flush out.
- Recess entryways to buildings,
alcoves, and ditches or recessed areas can trap and
hold air toxics for some time since the general toxic
plume cloud has passed.
- The air toxic can move short
distances against the prevailing wind direction along
the sides, the top of the building, and even in front
of the building.
- The prevailing wind may switch
direction and even reverse itself occasionally. The
peak concentration in a cloud may easily switch from
one side of a building to another in seconds.
- If the prevailing wind is parallel
to streets bordered by tall buildings, the toxic plume
cloud might be basically contained within the street
canyon, but there will be some cloud travel along side
streets. If the prevailing wind is diagonal to the
streets, the plume cloud can get channeled by streets
near the source and wind up traveling off the
prevailing wind direction axis.
- Generally it is safer to remain
inside buildings in case of a toxic chemical release.
However, after the plume cloud has passed outdoors, it
may be safer to move outdoors because of residuals
that have entered the building because of ventilation
and remained onside. Obviously there are overriding
situations such as danger of fire or explosion or if
residual radioactivity or biological agents have been
deposited on surfaces.
- Some contaminants may stick to
surfaces. Touching surfaces in the vicinity of the
release point is not recommended until decontamination
is complete.
More information on “rules-of-thumb”
corrections for air toxic releases in urban environments
is discussed in the following paper published by the Los
Alamos National Laboratory:
Brown, Michael J. and Gerald E.
Streit. 1998. “ Emergency Responders’ “Rules-of-Thumb”
for Air Toxic Releases in Urban Environments”. Los
Alamos National Laboratory report LA-UR-1998-4539.
A copy of this paper can be obtained
by visiting the website, http://www.mipt.org/pdf/la-ur-98-4539.pdf
| | |
 |
 |
 |
Have you used the PEAC software in an actual hazmat or
wmd incident? If so, we'd like to hear about your experience. Please
send a short write-up and any pictures available to: feedback@aristatek.com
It may be included in an upcoming issue of the
First Responder. All who send us something will receive a canvas bag
that holds all of your PEAC equipment .
Click here to view some
training vignettes on the PEAC software.
Click here to download a
30 day demo of the PEAC WMD 2002 software today!
Send
your comments and suggestions to: feedback@aristatek.com
|