This document summarizes a 30-year qualitative multi-hazard assessment conducted to determine coastal areas in the Philippines that are at high risk. The assessment characterized hazards based on historical data and estimated probability and impact to calculate risk potential at the provincial level. The study found that Aurora province has the highest overall risk potential among coastal provinces. It also identified several implications of the risks identified, including higher per capita costs in densely populated areas and risks for provinces with mismanaged forests or watersheds. Next steps suggested validating the results with a case study and using the risk information to devise concrete risk mitigation and communication strategies.
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Spatiotemporal Assessment of Disaster-risk Potential
1. A 30-year Qualitative Multi-hazard Assessment
to Determine at-Risk Coastal Areas in the
Philippines
Pedcris M. Orencio1 and Masahiko Fujii2
1Graduate
2Faculty
School of Environmental Science, Hokkaido University, Japan, p.orencio@frontier.hokudai.ac.jp
of Environmental Earth Science, Hokkaido University, Japan
2. Natural Hazards
Natural events from physical or environmental processes
a. Plate movements
b. Sea surface temperature
Source: IRIS
Source: Sompotan 2007
4. Hazards and Disasters in the Philippines
Ranked as No.1 disaster-stricken country
in the world in 2009 by the Center for
Research and Epidemiology of Disasters
(CRED)
A total of 191 disasters, killed 903
persons, and affected more than 2.8M
families (Citizenâs Disaster and Response
Center)
Source: CDRC
Source: CDRC
5. In the Philippines, >80% are coastal provinces that
benefit from coastal resources
ï 60% of 87M population is in the
coastal areas (in 2005)
ï Provides 43% of per capita protein
needs
ï Employs 1M people in the coastal
rural areas
Very High
High
Moderate
Low
Very Low
6. Determining Disaster Risks
International Strategy for
Disaster Risk (ISDR)
Risk = Hazard x Vulnerability
International Union of
Geological Science (IUGS)
Risk = Probability x Impact
7. Use of EMDAT (1982-2011) in Risk Assessment
Source: EMDAT: OFDA/CRED- UCL
9. Hazard Events at Provincial Scale
Provincial Hazard Event Score
(H) :
âą Meteorological hazards affects most
âą Climatological are prominent in the north
while, Hydrological are most common in
the south
âą Geophysical and Biological are sparsely
distributed across the country
10. Probability Estimation
Probability (P) is the likelihood of
events occurring within a given
period of time
âą Meteorological in most probable hazard in north
âą Climatological in north and south
while, Hydrological only in the south
âą Biological occur in contiguous urbanized areas
(i.e. GMA)
âą Geophysical is the least probable among
hazards
11. Impact Estimation
Impact is consequence of the
events in the context of affected
human population
âą Areas in the north have high cost
from Meteorological,
Climatological and Hydrological
hazards
âą Areas that are impacted by
Geophysical are generally high
Reason?
Source: Yumul et al. 2011
12. Disaster Risk Potential at Provincial Scale
Provincial Risk Potential Score (RP)
:
Unit of Risk = per Capita Cost of Hazard
event for 30 year period
âą Areas in the north are at high risk from Meteorological and
Climatological (though some areas in south are also at-risk from this
hazard)
âą Areas in the south are at high risk from Hydrological
âą There is less risk from Geophysical because of low probability of
occurrence
13. Provinces with Most Hazard Occurrences
Provinces
M
C
G
B
Metropolitan
Manila
Pangasinan
Ilocos Sur
Catanduanes
Davao del Norte
Davao Oriental
Albay
Sorsogon
Pampanga
South Cotabato
Combined (PH) :
M- Meteorological
C- Climatological
G- Geophysical
B- Biological
H- Hydrological
H
All
14. Provinces with Highest Hazard Risk Potential
Provinces
M
C
G
B
H
All
**Batanes
Aurora
**Catanduanes
**Camiguin
*Quirino
*Kalinga
Surigao del Sur
Compostela Valley
**Dinagat Islands
Zambales
Overall RP (ORP):
*Land-lock provinces **Coastal islands
M- Meteorological
C- Climatological
G- Geophysical
B- Biological
H- Hydrological
19. Summary and Next Steps
ï Cost per capita could serve as indicator for individual response burden for
lack of government resources for disasters
ï Aurora is the most at-risk coastal province in the Philippines based on a
multi-hazard risk assessment based on probability and impact of natural
hazard events
ï Hazards are characterized based on individual scores of five key hazard
components taken from a 30-year information from International Disaster
Database (EMDAT of the CRED/OFDA/ UCL)
ï Validation of results through a case study
âą Amplification of risks from multiple hazards (e.g. disaster chains;
STORMS- LANDSLIDE- FLOODING - EPIDEMICS)
âą Measure impacts in terms of implications on cost (i.e. recovery, loss
capital and economy)
ï Devise risk communication strategies to achieve concrete risk mitigation
plans
âą Importance of integration of risk in local planning cycle
20. âThe view that disasters are temporary disruptions to be managed
only by humanitarian response, or that their impacts will be reduced by
technical interventions has been replaced by the recognition that they
are intimately linked with sustainable development activities in the social,
economic and environmental fields. So-called ânatural disastersâ are
increasingly regarded as one of the many risks that people face.â
UNISDR 2004
Thank you very much!
This presentation is supported by the Global COE Program, âEstablishment of Center for Integrated Field
Environmental Science,â Ministry of Education, Culture, Science, Sports and Technology (MEXT), Japan.