Rosato - UTMEA Energy and Environmental Modeling - Enea
Rosato - UTMEA Energy and Environmental Modeling - Enea
Rosato - UTMEA Energy and Environmental Modeling - Enea
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International workshop on<br />
Emergency Management<br />
for Critical Infrastructures Crises<br />
ENEA Support Tools for Crises Prediction<br />
<strong>and</strong> Management<br />
Vittorio <strong>Rosato</strong>, Antonio Di Pietro, Giuseppe Aprea, Roberta Delfanti, Luigi<br />
La Porta, Josè R. Marti, Paul Lusina <strong>and</strong> Maurizio Pollino
Conceptual framework <br />
• Main goal (long-‐term plan): design <strong>and</strong> development of a new class of <br />
Decision Support Systems (DSS) integra
Summary <br />
Three DSS tools will be described: <br />
• for the risk analysis of a set of CIs due to <br />
extreme weather events. <br />
• for the predic
Event predic7on: Extreme weather events <br />
• When a specific perturba
Risk predic7on of CIs <br />
• ARer the predic'on phase, the system produces a crisis scenario, loca
<strong>Environmental</strong> impacts of nuclear waste release from <br />
plants <br />
• An on-‐going research work is focused on the <br />
inves
Nuclear waste release from plants <br />
Simula7on Map: <br />
137<br />
Cs diffusion in atmosphere <br />
(Values in Bq/m 3 ) <br />
36 hours aRer the event <br />
7
Nuclear waste release from plants <br />
Simula7on Maps <br />
(Radionuclides dif-‐ <br />
fusion in atmosphere <br />
<strong>and</strong> ground deposi
Nuclear waste release from plants: <br />
example of scenario <br />
Example of Scenario: <br />
•<br />
137<br />
Cs Cumulated ground <br />
deposi
Risk assessment of infrastructures upon <br />
earthquakes <br />
Predic
Risk assessment of infrastructures upon <br />
earthquakes <br />
• The main aims of the GIS-‐DSS is to make geographic data, thema
Risk predic7on of CIs-‐ ongoing ac7ons <br />
• All described DSS’s are going to be assembled <strong>and</strong> func
Conclusions <br />
• We have presented a number of implementa
Authors informa7on <br />
ViVorio <strong>Rosato</strong> 1,4,* , Antonio Di Pietro 1 , Giuseppe Aprea 1 , <br />
Roberta Delfan7 2 , Luigi La Porta 1 , Josè R. Mar7 3 , Paul <br />
Lusina 3 <strong>and</strong> Maurizio Pollino 1<br />
(1)<br />
ITALIAN NATIONAL AGENCY FOR NEW TECHNOLOGIES, ENERGY AND <br />
SUSTAINABLE ECONOMIC DEVELOPMENT (ENEA) -‐ TECHNICAL UNIT FOR <br />
ENERGETIC AND ENVIRONMENTAL MODELLING, CASACCIA RESEARCH CENTRE, <br />
ROMA (ITALY) <br />
(2)<br />
ITALIAN NATIONAL AGENCY FOR NEW TECHNOLOGIES, ENERGY AND <br />
SUSTAINABLE ECONOMIC DEVELOPMENT (ENEA) -‐ TECHNICAL UNIT MARINE <br />
ENVIRONMENT AND SUSTAINABLE DEVELOPMENT, S.TERESA (ITALY) <br />
(3)<br />
DEPT. OF ELECTRICAL AND COMPUTER ENGINEERING, UNIVERSITY OF BRITISH <br />
COLUMBIA, VANCOUVER B.C. (CANADA) <br />
(4)<br />
YLICHRON S.R.L., ROMA (ITALY) <br />
*Corresponding author, vittorio.rosato@enea.it<br />
WWW home page: http://www.enea.it 15
Thank you<br />
vittorio.rosato@enea.it<br />
16
I2Sim (Infrastructure Interdependencies <br />
Simulator) <br />
• I2Sim -‐ Interdependency Infrastructure <br />
Simulator: discrete event simulator. <br />
• Simulate the Emergent Behavior of a System of <br />
interconnected infrastructures. <br />
• In Emergency
Decision Evalua7on using I2Sim <br />
a<br />
b<br />
c<br />
d<br />
a <br />
b <br />
c <br />
d <br />
Policy <br />
ranking <br />
using I2Sim <br />
decision <br />
support <br />
simulator <br />
d <br />
Analyse each <br />
c<strong>and</strong>idate policy <br />
Policy with the best predicted <br />
outcome is implemented, e.g. best <br />
hospital opera
A case study: Sendai Tsunami <strong>and</strong> <br />
Earthquake <br />
• Sendai Tsunami <strong>and</strong> Earthquake case study modeled with I2Sim <br />
Light Injury Hospital (LIH), Serious<br />
Injury Hospital (SIH) or shelter zone.<br />
An ambulance network performs<br />
the evacuation<br />
Three impact<br />
zones represent<br />
geographic districts where<br />
injured people are located<br />
Treated<br />
patients<br />
19
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