|
New
simulation software will help in disaster decision making.
Improving how decision-makers respond
in the minutes and hours that follow the first reports of a natural
disaster or a manmade incident is the focus of a research project
at the University at Buffalo's Center for Multisource Information
Fusion.
"Responders immediately begin knitting
together a picture that makes sense of what is happening based on
the flow of reports they receive from the field," said Peter
Scott, Ph.D., associate professor of computer science and engineering
in the UB School of Engineering and Applied Sciences and principal
investigator on the project.
"Our goal is to take the typically chaotic flow of reports
of variable quality and heterogeneous origin received from the field
in the period immediately after the disaster and transform it into
useful information for decision-makers and emergency responders
to act upon," he said.
The system is undergoing beta testing,
Scott said, and should be completed and available for use within
one year.
The project, funded with a $2.5 million
grant from the Air Force Office of Scientific Research, consists
of theoretical research on information fusion coupled with design
of a large-scale simulation of a disaster modelled after the 1994
Northridge earthquake in California.
The goal is to produce response-system
design guidelines, applicable to both natural disasters, such as
earthquakes, tsunamis and wildfires, and to manmade incidents, such
as chemical accidents and terrorist attacks, and test them in the
simulated-disaster environment.
The software Scott and his colleagues
are developing is driven by data collected by the Federal Emergency
Management Administration during the Northridge earthquake and similar
earthquakes regarding characteristics of that disaster, such as
building and roadway damage, and how they correlated to casualties.
"Using our software, we create realistic
simulations of earthquakes in the San Fernando Valley of differing
characteristics, such as the depth of the quake, the location of
the epicenter and its proximity to population centers," explained
Scott. "Based on those parameters, the simulation determines
the number of casualties created as an immediate consequence of
the primary shake and their geographical distribution."
The computer program also simulates and
"fuses" reports typically received from observers such
as policemen and civilians, who may be providing redundant or contradictory
information.
"Our simulation takes these reports
and assigns probabilities of error and uncertainty to the information
they contain based on known reliability data and then fuses the
information into a unified, coherent 'situation assessment' to help
emergency responders and decision-makers make the best, most timely
decisions that they can," Scott said.
One of the critical goals of the project
and one that is a chief concern for the Air Force, he added, is
discovery, in the midst of a primary incident, of an unpredicted
and unexpected secondary event that can occur as a result of the
initial disaster.
"Psychological testing shows that
a responder can too quickly lock into the idea, 'OK, I'm responding
to trauma casualties caused by an earthquake,' and it's difficult
for them to then consider other issues," he said.
In the recent tsunami, he said, those
secondary incidents might include ruptured gas mains, environmental
contamination or widespread cholera. After an earthquake, the collapse
of a highway bridge might cause a tanker truck full of chlorine
to fall and rupture, spreading a toxic plume and causing a spike
in respiratory casualties.
According to Scott, the information fusion
process begins linking reports and considering secondary causes,
as soon as the first two reports of casualties or damage are received.
"Our program is designed to suggest
likely scenarios and to provide confidence measures associated with
each of those scenarios," he said.
The software will provide those scenarios and measurements within
minutes or seconds after the first reports are received.
"If the situation assessment is
not keeping pace with the unfolding needs of the emergency responders
and decision makers, then it's not useful," he said.
Scott's co-investigators on the project from the UB Department of
Industrial Engineering include Rajan Batta; Ph.D., Li Lin, Ph.D.;
and James Llinas, Ph.D., all professors, and Ann Bisantz, Ph.D.,
associate professor. Thenkurussi Kesavadas, Ph.D., associate professor
in the UB Department of Mechanical and Aerospace Engineering, also
is a co-investigator. Eight graduate students also work on the project.
Jim Scandale of the CMIF Lab is
software manager and the group is supported by collaborators from
the Systems Engineering Department of the University of Virginia
at Charlottesville and the Department of Computer Science of the
University of Arkansas at Little Rock.

•Date:
13th January 2005 • Region: N.America •Type:
Article •Topic:
Crisis management
Rate this article or make a comment - click
here
|