Pacific Catastrophe Risk Assessment And Financing Initiative

Similar documents
Pacific Catastrophe Risk Assessment And Financing Initiative

Pacific Catastrophe Risk Assessment And Financing Initiative

Pacific Catastrophe Risk Assessment And Financing Initiative

Initiative. Country Risk Profile: papua new guinea. Better Risk Information for Smarter Investments PAPUA NEW GUINEA.

PACIFIC CATASTROPHE RIS ASSESSMENT AND FINAN INITIATIVE

CURRENT AND FUTURE TROPICAL CYCLONE RISK IN THE SOUTH PACIFIC

PACIFIC CATASTROPHE RISK ASSESSMENT AND FINANCING INITIATIVE

CURRENT AND FUTURE TROPICAL CYCLONE RISK IN THE SOUTH PACIFIC

The Magnitude 7.2 Earthquake from the West Valley Fault: Implications for Metro Manila and Nearby Provinces

Regional Wind Vulnerability. Extratropical Cyclones Differ from Tropical Cyclones in Ways That Matter

Disaster Risk Assessment: Opportunities for GIS and data management with Open DRI

Geospatial application in Kiribati

The AIR Bushfire Model for Australia

The AIR Tropical Cyclone Model for India

Exposure Database of the Pacific Islands. ADB TA 6496-REG: Regional Partnerships for Climate Change Adaptation and Disaster Preparedness

The AIR Tropical Cyclone Model for Mexico

HAZUS-MH: Earthquake Event Report

Disaster Risk Management in India. Kamal Kishore New Delhi, 27 October 2016

Natural Disasters in Member Countries (2002 Summary)

Word Cards. 2 map. 1 geographic representation. a description or portrayal of the Earth or parts of the Earth. a visual representation of an area

5.2. IDENTIFICATION OF NATURAL HAZARDS OF CONCERN

Applied Geoscience and Technology Division SOPAC. Joy Papao, Risk Information Systems Officer

Wainui Beach Management Strategy (WBMS) Summary of Existing Documents. GNS Tsunami Reports

M-8.1 EARTHQUAKE 87KM SW OF PIJIJIAPAN, MEXICO EXACT LOCATION: N W DEPTH: 69.7KM SEPTEMBER 7, 11:49 PST

Vulnerability of Bangladesh to Cyclones in a Changing Climate

Assumption Parish Hazard Mitigation Plan Update Public Meeting. September 1, 2015 Napoleonville, LA

RISK OF PRINCIPAL DISASTERS IN INDIA AND IMPACTS OF DISASTERS ON ECONOMIC DEVELOPMENT

The AIR Severe Thunderstorm Model for the United States

Coping With Disaster: The Impact of Hurricanes on International Financial Flows,

West Carroll Parish Hazard Mitigation Plan Update Public Meeting. August 25, 2015 Oak Grove, LA

FLOODING. Flood any relatively high stream flow overtopping the natural or artificial banks in a water system.

RISK ASSESSMENT COMMUNITY PROFILE NATURAL HAZARDS COMMUNITY RISK PROFILES. Page 13 of 524

Emergency Preparedness Questions

5.2 IDENTIFICATION OF HAZARDS OF CONCERN

Candidate Name Centre Number Candidate Number CHANGING PHYSICAL AND HUMAN LANDSCAPES SAMPLE ASSESSMENT MATERIALS

Earth Issue: November 2017

Cambridge International Examinations Cambridge International General Certificate of Secondary Education

Disclaimer. This report was compiled by an ADRC visiting researcher (VR) from ADRC member countries.

Remote sensing and GIS for multi-hazard risk assessments in the coastal zone: recent applications and challenges in the Pacific Jens Kruger

5.2 IDENTIFICATION OF HAZARDS OF CONCERN

World Meteorological Organization

The AIR Crop Hail Model for Canada

Climate Resilience Decision Making Framework in the Caribbean. A case of Spatial Data Management

Global Atmospheric Circulation. Past climate change and natural causes. Global climate change and human activity

Oregon APA Legal Issues Workshop December 7, Tricia Sears, DLCD With information from Bill Burns, DOGAMI

Surviving the Big One: Understanding and Preparing for a Major Earthquake in Western Oregon

Natural Disasters Spring, LECTURE #8: Earthquake Disasters: Monitoring & Mitigation. Date: 1 Feb 2018 (lecturer: Dr.

SEISMIC RISK ASSESSMENT IN ARMENIA

Three Fs of earthquakes: forces, faults, and friction. Slow accumulation and rapid release of elastic energy.

Monday, November 19, :30 a.m. EST

(energy loss is greater with longer wavelengths)

2010 PERTH STORM 2010 MELBOURNE STORM

Understanding Weather and Climate Risk. Matthew Perry Sharing an Uncertain World Conference The Geological Society, 13 July 2017

Overview of Philippine Geohazards Programs

Macroeconomic implications of natural disasters on small economies

IDENTIFICATION OF HAZARDS OF CONCERN

WMO Statement on the State of the Global Climate Preliminary conclusions for 2018 and WMO Greenhouse Bulletin

A Presentation By: Dr. G. M. Dar Centre for Disaster Management & Env. Studies, J&K IMPA, Srinagar

4.1 Hazard Identification: Natural Hazards

LAND USE PLANNING AND RISK: LESSONS FROM THREE AUSTRALIAN PORT CITIES

They include earthquakes, volcanic eruptions, floods, landslides, and other processes and occurrences. They are included in the broader concept of.

Analysis of fatalities attributed to Hurricane Florence in the US.

Improving global coastal inundation forecasting WMO Panel, UR2014, London, 2 July 2014

Earthquakes. & Expansive Soils

HAZARD DESCRIPTION... 1 LOCATION... 1 EXTENT... 1 HISTORICAL OCCURRENCES...

Disaster Management and Spatial Data An Experience of Sri Lanka for Joint project team meeting 2012

2018 REVIEW OF DISASTER EVENTS

Wednesday, December 5, :30 a.m. EST

Status & Challengers of Cook Islands GEO DRM. Cook Islands GEO S/GIS History

Trends of Natural Disasters in the Asia- Pacific Region and the Direction of Disaster Management

Miami-Dade County Overview

2014 Russell County Hazard Mitigation Plan Update STAKEHOLDERS AND TECHNICAL ADVISORS MEETING 2/6/14

SECTION 6 VULNERABILITY ASSESSMENT

Improvements in research knowledge: a challenge for engineering

Update on the It s Our Fault project

Year 4 Geography Revision Pack Summer 2018 Name

Paper Reference. Paper Reference(s) 1312/4H Edexcel GCSE Geography A Higher Tier. Monday 11 June 2007 Afternoon Time: 1 hour 15 minutes

Running Head: HAZARD MITIGATION PLAN OUTLINE FOR MISSISSIPPI 1

Saturday, November 17, :30 a.m. EST

THE AIR SEVERE THUNDERSTORM MODEL FOR AUSTRALIA

DAGUPAN CITY EXPERIENCES, GOOD PRACTICES, CHALLENGES AND LESSONS LEARNED ON DISASTER RISK MANAGEMENT

Randall W. Parkinson, Ph.D., P.G. Institute of Water and Environment Florida International University

Measuring Disaster Risk for Urban areas in Asia-Pacific

Business Preparedness and Hurricane Risk

Monday, November 26, :30 a.m. EST

The AIR Tropical Cyclone Model for the Carribean

4.4 Assessing Vulnerability: Estimating Potential Losses

Geodesy. orientation. shape. gravity field

Tornado Hazard Risk Analysis: A Report for Rutherford County Emergency Management Agency

Hazard and Vulnerability of Moderate Seismicity Regions

Marshall Alexander Forecaster Commonwealth of Dominica

Status and Challenges on Geo-DRM Information Systems in Tonga

Geospatial Information Management in the Americas: Lessons for the Post-2015 development agenda

Report on Disaster statistics of Nepal

Southington. Challenges

The World Bank Ecuador Risk Mitigation and Emergency Recovery Project (P157324)

Hawke s Bay Liquefaction Hazard Report - Frequently Asked Questions

Borah Peak Earthquake HAZUS Scenario Project Executive Summary Idaho Bureau of Homeland Security Idaho Geological Survey Western States Seismic

On Tsunami Risk Assessment for the West Coast of Thailand

Impact of Cyclone Nargis

Transcription:

Pacific Catastrophe Risk Assessment And Financing Initiative TIMOR-LESTE September Timor-Leste is expected to incur, on average, 5.9 million USD per year in losses due to earthquakes and tropical cyclones. In the next 5 years, Timor-Leste has a 5% chance of experiencing a loss exceeding 88 million USD and casualties larger than 3 people, and a % chance of experiencing a loss exceeding 53 million USD and casualties larger than, people. Better Risk Information for Smarter Investments

POPULATION, BUILDINGS, INFRASTRUCTURE AND CROPS EXPOSED TO NATURAL PERILS An extensive study has been conducted to assemble a comprehensive inventory of population and properties at risk. Properties include residential, commercial, public and industrial buildings; infrastructure assets such as major ports, airports, power plants, bridges, and roads; and major crops, such as coconut, palm oil, taro, vanilla and many others. Table : Summary of Exposure in TImor-Leste () General Information: Total Population:,67, GDP Per Capita (USD): 66 Total GDP (million USD): 7. Asset Counts: Public Buildings: 5,66 Commercial, Industrial, and Other Buildings: 7,85 All Buildings: 398,685 Hectares of Major Crops: 66,883 Figure : Building locations. Timor-L este Cost of Replacing Assets (million USD): 5 3 375,7 Residential Buildings: 6 Buildings: 7,88 Infrastructure:,6 Crops: 3 Total:,5 B uilding R eplac ement C os t Dens ity (million US D / km^) Total Government Expenditure (Million USD): (% GDP): 63.8 87.6% ata assembled from various references including WB, ADB, IMF and The D Secretariat of the Pacific Community (SPC). The projected population was trended from the 6 census using estimated growth rates provided by SPC. -..5 -.75 5 -. -.5.75 - - 38.5 -.5-5 9 'S 76.7% 'E 9 'S (% GDP): 'E 5 'E 'E 9 3'S,38.8 9 'S (Million USD): 9 3'S Total Government Revenue 9 'S Government Revenue and Expenditure: Figure : Building replacement cost density by district. Table summarizes population and the inventory of buildings, infrastructure assets, and major crops (or exposure ) at risk as well as key economic values for Timor-Leste. It is estimated that the replacement value of all the assets in Timor-Leste is. billion USD, of which about 89% represents buildings and % represents infrastructure. Figures and illustrate the building exposure location and replacement cost distribution, respectively. The footprints of about 96,5 of the approximately, buildings shown in Figure were digitized from high-resolution satellite imagery. Figure 3 displays the land cover/land use map that includes the location of major crops. The data utilized for these exhibits was assembled, organized and, when unavailable, produced in this study. Figure 3: Land cover/land use map. September

Timor-Leste is situated along one segment of the Pacific ring of fire, which aligns with the boundaries of the tectonic plates. These tectonic plate boundaries are extremely active seismic zones capable of generating large earthquakes and, in some cases, major tsunamis that can travel great distances. A recent example is the 995 magnitude 6.9 earthquake, which generated a large tsunami that killed people, injured 9 5 3 6 9 'S 5 5 5 75 'E 'E 9 3'S 9 3'S 'E 9 'S 'E 9 'S 9 'S 5 5 5 3 6 9 'S 9 'S 9 3'S Perceived Shaking Not Felt Weak Light Potential Damage Peak ACC. (%g) Peak Vel. (cm/s) Instrumental Intensity none <.7 <. I none.-..-3. IV none.7-..-. II-III 'E 9 'S 'E 5 'E 'E 9 3'S 9 'S Moderate Strong Very Strong Severe Moderate/ Very light light Moderate Heavy.-9 9-7 7-3 3-6 3.-8 8-6 6-3 3-59 V VI VII VIII Violent Extreme Very Heavy Heavy 6- > 59-5 >5 IX X+ Scale based upon Wald. et al: 999 Figure 5: Peak horizontal acceleration of the ground (Note: g is equal to the acceleration of gravity) that has about a % chance to be exceeded at least once in the next 5 years. RISK ANALYSIS RESULTS The Pacific islands region is prone to natural hazards. Timor-Leste is located south of the equator at the northern extremity of an area known for the frequent occurrence of tropical cyclones with damaging winds, rains and storm surge between the months of October and May. In the South Pacific region from the equator to New Zealand in latitude and from Indonesia to east of Hawaii in longitude almost, tropical cyclones with hurricane-force winds spawned in the last 6 years, with an average of about 6 tropical storms per year. Timor-Leste was subject to cyclones multiple times in the last few decades, such as the early stages of tropical cyclones Esther (983), Bonnie (), and Inigo (3). Cyclone Daryl in 6 caused considerable damage in Timor-Leste, in which crops and over 5 houses were destroyed due to winds and floods. Figure shows the levels of wind speed due to tropical cyclones that have about a % chance to be exceeded at least once in the next 5 years (-year mean return period). These wind speeds, if they were to occur, are capable of generating moderate damage to well-engineered buildings, infrastructure and crops with consequent significant economic losses. and destroyed several homes in the area. Figure 5 shows that Timor-Leste has a % chance in the next 5 years of experiencing, at least once, strong to very strong levels of ground shaking. These levels of shaking are expected to cause damage ranging from light to moderate to well-engineered buildings and even more severe damage to structures built with less stringent criteria. TROPICAL CYCLONE AND EARTHQUAKE HAZARDS IN timor-leste 75 Maximum Wind Speed To estimate the risk profile for Timor-Leste posed by tropical cyclones and earthquakes, a simulation model of potential storms and earthquakes that may affect the country in the future was constructed. This model, based on historical data, simulates more than, tropical cyclones and about 7.6 million earthquakes, grouped in, potential realizations of the next year s activity in the entire Pacific Basin. The catalog of simulated earthquakes also includes large magnitude events in South and North America, Japan and the Philippines, which could generate tsunamis that may affect Timor-Leste s shores. The country s earthquake and tropical cyclone risk profiles are derived from an estimation of the direct losses to buildings, infrastructure assets and major crops caused by all the simulated potential future events. The direct losses include the cost of repairing or replacing the damaged assets, but do not include other losses such as contents losses, business interruption losses and losses to primary industries other than Figure : Maximum -minute sustained wind speed (in miles per hour) with a % chance to be exceeded at least once in the next 5 years. 3 September

Total Average A nnual L os s (thous and US D) 86.8% In addition to estimating average risk per calendar year, another way of assessing risk is to examine large and rather infrequent, but possible, future tropical cyclone and earthquake losses. Table summarizes the risk profile for Timor-Leste in terms of both direct losses and emergency losses. The former are the expenditures needed to repair or replace the damaged assets while the latter are the expenditures that the East Timorese government may need to incur in the aftermath of a natural catastrophe to provide necessary relief and conduct activities such as debris removal, setting up shelters for homeless or supplying medicine and food. The emergency losses are estimated as a percentage of the direct losses. - 5 5-75 5 -, 5 'E 'E Figure 7: Contribution from the different districts to the average annual loss for tropical cyclone and earthquake (ground shaking and tsunami). 5 3 6 9 'S A A L / A s s et Value % -.%.5% -.75%.% -.3%.75% - %.3% -.% % -.5%.% -.5%.5% -.3% 'E 'E 5 'E 'E Figure 8: Contribution from the different districts to the tropical cyclone and earthquake (ground shaking and tsunami) average annual loss divided by the replacement cost of the assets in each district. Average Annual Loss (million USD) The same risk assessment carried out for Timor-Leste was also performed for the other Pacific Island Countries. The values of the average annual loss of Timor-Leste and of the other countries are compared in Figure 9. - 5-5 The simulations of possible next-year tropical cyclone and earthquake activity show that some years will see no storms or earthquakes affecting Timor-Leste, while other years may see one or more events affecting the islands, similar to what has happened historically. The annual losses averaged over the many realizations of next-year activity are shown in Figure 6 separately for tropical cyclone and for earthquake and tsunami, while the contributions to the average annual loss from the different subdistricts are displayed in absolute terms in Figure 7 and normalized by the total asset values in each subdistrict in Figure 8. Figure 8 shows how the relative risk varies by subdistrict across the country. 75 - - 5 Figure 6: Average annual loss due to tropical cyclones and earthquakes (ground shaking and tsunami) and its contribution from the three types of assets. - Infrastructure 9 'S Cash Crops Infrastructure 9 'S Cash Crops 9 3'S Buildings 9 'S Buildings 'E 9 'S 3.% 'E 9 3'S Average Annual Loss = 5. million USD 9 'S 9 'S Earthquake 6.% 5.6% 3 9 3'S.% 5 9 'S 5.% 9 3'S Tropical Cyclone Average Annual Loss =.7 million USD agriculture. The direct losses for tropical cyclones are caused by wind and flooding due to rain and storm surge, while for earthquakes they are caused by ground shaking and tsunami inundation. After assessing the cost of repairing or rebuilding the damaged assets due to the impact of all the simulated potential future events, it is possible to estimate in a probabilistic sense the severity of losses for future catastrophes. Tropical Cyclone Earthquake Ground Motion Tsunami 8 8 6 6 Figure 9: Average annual loss for all the 5 Pacific Island Countries considered in this study. September

Table includes the losses that are expected to be exceeded, on average, once every 5,, and 5 years. For example, an earthquake loss exceeding 8 million USD, which is equivalent to about 8% of Timor-Leste s GDP, is to be expected, on average, once every years. In Timor-Leste, earthquake losses are expected to be substantially more frequent and severe than losses due to tropical cyclones. The latter, however, remain potentially catastrophic events. casualties (i.e., fatalities and injuries) may result from the future occurrence of these events. As shown in Table, our model estimates, for example, that there is a % chance in the next fifty years (-year mean return period) that one or more events in a calendar year will cause casualties exceeding people in Timor-Leste. Events causing, or more casualties are also possible but have a much lower likelihood of occurring. A more complete picture of the risk can be found in Figure, which shows the mean return period of direct losses in million USD generated by earthquake, tsunami and tropical cyclones combined. The 5-, -, and 5-year mean return period losses in Table can also be determined from the curves in this figure. The direct losses are expressed both in absolute terms and as a percent of the national GDP. In addition to causing damage and losses to the built environment and crops, future earthquakes and tropical cyclones will also have an impact on population. The same probabilistic procedure described above for losses has been adopted to estimate the likelihood that different levels of Direct Losses (million USD) Direct Losses (% GDP), 9 TC+EQ 8 TC 7 EQ 6 5 3 3 5 6 7 8 9, Mean Return Period (years) % TC+EQ % TC % EQ 8% 6% % % % 3 5 6 7 8 9, Mean Return Period (years) Table : Estimated Losses and Casualties Caused by Natural Perils Mean Return Period (years) AAL 5 5 Risk Profile: Tropical Cyclone Direct Losses (Million USD).7.8.7.3 (% GDP).%.3%.8% 5.9% Emergency Losses (Million USD)...9 9.5 (% of total government expenditures).%.%.5%.5% Casualties 7 6 66 Risk Profile: Earthquake and Tsunami Direct Losses (Million USD) 5..3 8.5 97. (% GDP).7% 5.8% 8.3%.% Emergency Losses (Million USD).8 6..6 7.6 (% of total government expenditures).%.% 3.% 7.7% Casualties 85 766 Risk Profile: Tropical Cyclone, Earthquake, and Tsunami Direct Losses (Million USD) 5.9 55.7 3.7 3. (% GDP).8% 7.9%.5% 6.3% Emergency Losses (Million USD). 9.7 3.9 56. (% of total government expenditures).%.6% 3.9% 9.% Casualties 69,38 Casualties include fatalities and injuries. Figure : Direct losses (in absolute terms and normalized by GDP) caused by either tropical storms or earthquakes that are expected to be exceeded, on average, once in the time period indicated. 5 September

APPLICATIONS The country risk profiles can support multiple applications that benefit both public and private stakeholders. In urban and development planning, planners can use the risk profile information to identify the best location of new development areas, evaluate how natural hazards may shape their development, and to assess whether the benefits of reducing the risk of natural events justify the costs of implementing the risk mitigating measures. In addition, the risk profiles can inform the development of disaster risk financing and insurance solutions and ex ante budget planning options to increase the financial resilience of the countries against natural disasters while maintaining their fiscal balance. The earthquake and tropical cyclone hazard models also provide critical information for building codes in terms of country-specific seismic and wind loads that buildings should be designed for to ensure adequate shelter to the population. The risk information can also help identify existing vulnerable areas and communities located in or adjacent to these areas. This information can assist in supporting more targeted intervention in community-based disaster risk management and climate change adaptation actions. In the occurrence of a natural disaster the database also provides extremely useful baseline data and information for conducting timely and effective post-disaster damage assessments. For information please visit http://pacrisk.sopac.org/ or contact pcrafi@sopac.org