Presentation - Hazus User Conference

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THE HAZUS-MH AS DISASTER
RISK REDUCTION TOOL IN BRAZIL
Francisco Dourado, Ph.D.
Associate Professor
State University of Rio de Janeiro
Coordinator of Research group and studies of disasters (CEPEDES)
Silvana V Croope, Ph.D., ENV SP
Resilience, Climate Change and Sustainability Strategist
Delaware Department of Transportation
Division of Planning
Edilberto Nunes de Moura, Ph.D.
Associate Professor
Pontifical Catholic University of PARANA – PUCPR
Coordinator of GIS graduate course
Who is Brazil?
Federative Republic of Brazil
Ethnic groups
47.73% White
43.13% Pardo
7.61% Black
1.52% Others
Area
3,287,597 sq mi (5th)
Population
2015 estimate
204,451,000[5] (5th)
62/sq mi (190th)
GDP (PPP)
Total
$3.259 trillion (7th)
Per capita
$15,941 (74th)
GDP (nominal)
Total
$1.799 trillion (9th)
Per capita
$9,312 (60th)
HDI
2013 0,744 (79th)
Hazard in the World: Spatial Distribution
© 2011 Münchener Rückversicherungs-Gesellschaft Königinstrasse NATHAN World Map of Natural Hazards (folding map)
Hazard in the World - Spation Distribution
http://cred.be/sites/default/files/The_Human_Cost_of_Natural_Disasters_CRED.pdf
Natural Disasters in Brazil
Number of natural disasters in Brazil per year (1991-2012)
Comparision between decades
Atlas brasileiro de desastres naturais - 1991 a 2012 - Vol. Brasil, CEPED/UFSC
Natural disasters in Brazil by type
Drought
Flash Flood
Flooding
Wind
Hail
Other
Atlas brasileiro de desastres naturais - 1991 a 2012 - Vol.
Brasil, CEPED/UFSC
http://cred.be/sites/default/files/The_Human_Cost_of_Natural_Disasters_CRED.pdf
Tornado
Frost
Erosion
Wild fire
Landslides
Hail
Wind
Flooding
Flooding
Drought
Rise of natural disasters in Brazil by type (%)
Drougth
Flash
Floods
Floods
Hail
Landslides
Erosion
Affecteds by type (%)
Storms
Wild fire
Tornado
Frost
Drougth
Flash
Floods
Floods
Landslides
Erosion
Wild fire
Tornado
Flooding
Deaths by type (%)
Storms
Flooding
Total Number of Events
Drought
NaturalDisasters
DisastersininBrazil
Brazil
Natural
Floods
NaturalDisasters
DisastersininBrazil
Brazil
Natural
Winds
NaturalDisasters
DisastersininBrazil
Brazil
Natural
Landslides
Earthquakes
2004 Indian Ocean’s Tsunami/Earthquake in Brazil
http://www.mares.io.usp.br/aagn/aagn8/cafranca/aagn_tsu.html
Earthquake/Tsunami in Indonesia (2004)
http://veleiro.net/livrodebordo/maremoto.htm
Civil Protection Articulation
Federal level
Institutional Safety Office
(Presidency)
Military Forces
(Army, Navy and Air Force)
Ministry of Health
INMET e INPE
Mobilization
National Civil Defense
- Preparing and response
Meteorology prevision
Ministry of Integration
and Ministry of Cities
CENAD - National Center for Risk Management and
Disaster
Mapping
- Alert and articulation
CEMADEN - National Center for Monitoring and Alerts Natural Disasters
- Monitoring and alert
CPRM - National Geological Survey
Geological mapping
ANA - National Agency of Water
Hydrology
CEPED/PR
Civil Protection Hierarchization
National Level
Chief of Staff
Ministry of
Cities
Mapping
Ministry of
Integration
Mapping
National Civil
Defense
Ministry of Science
and Technology
CENAD
National Center
for Risk
Management
and Disaster
CEMADEN
National Center for
Monitoring and
Alerts Natural
Disasters
Ministry of Mining
and Energy
INMET e INPE
Meteorology
prevision
CPRM
National
Geological
Survey
Geological
mapping
Ministry of
Enviroment
ANA
National Agency
of Water
Hydrology
Ministry of
Cities
Mapping
Local Level
Governor or Mayor
Secretary of Civil
Defense
(Some cases)
Non-Specific
Secretary
State
Meteorological
Service
(Some States)
State Geological
Survey
(Some States)
Secretary of
Enviroment
Sub-Secretary of
Civil Defense
(Some cases)
Hazus-MH in Brazil
●
Why? When? How?
●
Requirements
○
Identified, existing, available datasets
○
Portuguese language version (Brazilians are not fluent in English and some concepts cannot be directly translated
■
●
E.g.: danger, harzard, risk assessment, risk evaluation - they are all translated into evaluation of risk
Challenges
Benefits
versus
○
Hazus specific database
○
Organization and development of additional required datasets
○
Data input (CDMS or Data Interoperability)
○
Improvement of GIS skillset
○
Standards and base calculation
○
Review of analytical processes and parameters used by Brazil
○
Innovation
○
Opportunity for exchange of knowledge and being able to provide
for an organized and standardized approach for research and future
humanitarian needs
Past Activities
• Official Agreement
• Research Group registered
– Interested parties: 4 States (academia and Civil Defense), 2 National Agencies, other
representatives
– Cyclic opening research and visiting professionals opportunities
Landslide Module
Challenge:
●
Many different of typology of landslides (Rock fall, debris flow/ mud flow, translational, rotational, etc..)
○
Differents process in a same class group
How solve this problem:
●
Building differents modules for each type of landslides.
●
In Brazil the most commonly found types are:
○
Debris flow/ mudflow
○
Translational
Flooding Module
Challenge
●
●
Digital Elevation Model (DEM) - TOPODATA Program by INPE (Spatial Research National Institute);
○
created from SRTM database (3 arc-sec - 90 m),
○
after processing - (filling in, pos-processing,interpolation) - DEM.tiff (1arc-sec - 30 m),
○
TOPODATA is our National Elevation Dataset (NED).
Inventory and Valuation;
○
Define the components of Inventory (are they the same of ones in the USA?),
○
Deph-Damage Functions - We don’t have a Federal Insurance Administration (FIA) and a USAGE either,
○
Damage Functions should be developed at universities and national resources centers.
CONTACTS:
SILVANA V CROOPE
EDILBERTO NUNES DE MOURA
[email protected]
[email protected]
FRANCISCO DOURADO
[email protected]

Presentation - Hazus User Conference

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