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Damage x
counties = debris mission
A Katrina debris pile
contains everything from kids' toys to school business and
who homes. Computing the mission and funding
requirements for a 40-parish mission begins with a model and
debris veterans. LA-RFO Photo.
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Debris,
damage models rightly predict the mission
By Dave Harris, public
affairs specialist, Louisiana Recovery Field Office
NEW ORLEANS, LA
...
As Hurricane Katrina grows in fury and intensity in the Gulf of
Mexico, one after another, an Army Corps of Engineers disaster
response team member turns away from the television and exchanges
that knowing look with a loved one sharing the family room.
They know that
taskers will flow soon from emergency ops centers, armed with
amazingly savvy predictions of needed first-response resources.
“Where did I
stash those steel-toed boots from the last deployment?”
Even before
landfall, Allen Morse, debris subject matter expert at Headquarters;
and modeling expert Terry Siemsen of the Louisville District
Emergency Management GIS –Geographic Information System - group, are
studying a model to predict how much damage is likely and what kind
of initial response will be required.
“The models
are based on GIS and we create polygons of expected wind bands and
rainfall and often also storm surge and expected power outages,”
Siemsen said. Polygons are used in
computer graphics to compose images that are
three-dimensional in appearance. “These polygons are then used
by ArcGIS 9.x [software] to calculate debris, possible ice and water
commodities, temporary roofs and temporary housing based on
databases previously built at a census tract level of detail.”
Census tracts
were chosen as counties were considered too "coarse" of a unit for
estimating the storm effects. Census tracts are much smaller,
typically an area that includes 4,000 to 10,000 persons.
In earlier
storms, debris estimates were only within 30 percent accuracy, Morse
said, but in some cases the model has proved to be within 15
percent. The goal is to continue tweaking and modifying the model
to narrowed the gap to 10 to 12 percent.
Not bad for an
up-front estimate. The experts studied their models and predicted 27
million cubic yards of debris in Louisiana back in August 2005.
Nearly two years later the figure still holds and actual debris
removal is right on the money.
“As the storm
come in, we use the planning model and look at wind fields and
population density typical for the Gulf Coast,” Morse said. “The
model estimates cubic yards of curbside debris per household for
each category hurricane. As the category goes up, the CY per
household goes up, for instance a category 1 is 3 CY and a category
5 is 100 CY per household.
Morse
explained that the quantities of debris shown by the model consider
the effect of wind damage, and do not include flooding. Commercial
density and vegetative cover also become part of the equation.
“We had to
superimpose flooding and later demolition of houses; afterward we
added the impact of thousands of saltwater-killed trees,” he said.
“All these factors gave us good footing for planning and what we’d
need for the initial response. We plug in more details, provided by
from boots on the ground, as time goes by.”
With each
storm event, information on the number of persons and the number of
households that may be within the envelope of hurricane force winds
will also be provided by the model, Siemsen said. Commercial density
database is influenced by population and households data - more
people require or demand more services and associated facilities.
This database is used in the modeling effort to account for debris
that is likely to be generated from non-residential sources.
Additional databases that are used in the event modeling process
include critical facilities such as hospitals, police stations, fire
stations, schools, potable water treatment plants and wastewater
treatment plants.
“The debris
equations consider five primary factors - number of households,
vegetation density, commercial density, storm wind intensity, and
rainfall intensity,” Siemsen said. “The initial work with these
equations was done at county-level and was considered a basis for
determining possible amounts of debris to be handled in a clean-up
effort and to estimate the number of debris reduction sites that may
be needed following a hurricane landfall.”
The volume
estimated is a total amount of debris from a storm and not
necessarily the amount of debris that will require clean-up with
federal funds, he added. Nor does the model account for debris that
might result from flooding caused by storm related rainfall.
Besides debris
estimates, Siemsen said, needs for quantities of three liters of
water and eight pounds of ice per person per day are built into the
model program code. Also part of the model code are the typical
truckload quantities of each commodity, 18,000 liters of water and
40,000 pounds of ice.
Newer models
can even predict the need for temporary housing and blue roofs. The
models are intended to provide the mission response teams with a
sense of the “scale and scope” of the potential action that may be
required, he said.
As hurricanes
have revealed the patterns of their behaviors, the ever-clearer
historical realities help refine the modeling process for each storm
event enabling planners, with eyebrow-raising accuracy, to fulfill
what some folks may regard as near-apocalyptic prophecies of
impending doom. The finely tuned estimated quantities become
forecasts relied upon by capable Corps-monitored suppliers, trucks
and boots on the ground worn by debris-hauling souls and managers
who with awe marvel at the pinpoint precision of the matching
numbers.
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