Tsunami Risk Assessment for Coastal Cities of Sri …...Galle Bay and Headland comprising the Dutch...
Transcript of Tsunami Risk Assessment for Coastal Cities of Sri …...Galle Bay and Headland comprising the Dutch...
Dr. S.S.L.Hettiarachchi
Dr. S.P.Samarawickrama
University of Moratuwa
________________________Dr.N.Wijeratne
University of Ruhuna
Dr. Juan Carlos Villaran
UNU, Bonn
Dr.Hong Kie Thio
URS, USA
____________________________
Acknowledgements-
USAID/IOTWS Project
NSF, Sri Lanka
PARI, Japan
WAPMERR, Geneva
Geo Science, Australia
University of Arizona
UNU, Bonn
Tsunami Risk Assessment for Coastal Cities of Sri Lanka
Case Study for the Port City of Galle
Galle Bay and Headland comprising the Dutch Fort
Port of Galle
City Center
City of Galle
Moratuwa
Kalutara
Ahungalla
Hikkaduwa
Galle
UnawatunaMatara
Yala
Kirinda
8.4
8.8
3.5
4.5
09.45 hrs09.20 hrs
2 nd Wave
1 st Wave1 st Wave09.20 hrs2 nd Wave09.40 hrs
09.20 hrs09.10 hrs 1 st Wave
2 nd Wave
06 30 00 N
06 00 00 N
82 00 00 E81 30 00 E81 00 00 E80 30 00 E80 00 00 E79 30 00 E
Payagala
Hambantota
09.30 hrs09.45 hrs 2 nd Wave
1 st Wave
3 rd Wave12.20 hrs
2 nd Wave
1 st Wave
3 rd Wave
09.30 hrs09.45 hrs12.20 hrs
6.910.310.2
6.0
Tangalle
4.1 3.7
7.0 4.5
GalleDistrict
Approach towards Risk Assessment
Multi Hazard Coastal Risk Assessment Framework
…. towards Disaster Risk Reduction
Risk= Hazard x Exposure x Vulnerability x Deficiencies in Preparedness
Early Warning and Countermeasures against tsunamis and Mitigation Options
Multi Hazard approach considers all coastal hazards, each having a frequency of occurrence and potential impact (intensity /spatial distribution)
Risk = Hazard x Vulnerability x Deficiencies in Preparedness
The separation between Vulnerability and Deficiencies in Preparedness is done to highlight the existing vulnerabilities and those deficiencies which could enhance the loss of life during disaster.-Awareness
-Early Warning
-Response
-Evacuation / Safe Places
-Evacuation Structures/ Tsunami Resilient Infrastructure
Next Destructive Tsunami ?Next Destructive Tsunami ?
Indian Ocean Tsunami 26th December 2004
Tsunami 17th July 2006
Tsunami 12th Sept 2007
Tsunami 28th March 2005
Early Warning and Countermeasures against tsunamis
Promote successful evacuation from tsunamis
Mitigate tsunamis (Mitigation Options)
• Early Warning System (Local and Regional)
• Public Warning System• Hazard, Vulnerability and Risk Maps• Set Back • Evacuation Routes & Structures
•Physical Interventions (Artificial Methods, Natural Methods and Hybrid Methods)
•Design Guidelines for exposed infrastructure
Promote successful evacuation from tsunamis
Early Warning and Countermeasures against tsunamis
Mitigate tsunamis (Mitigation Options)
• Early Warning System (Local and Regional)
• Public Warning System• Hazard, Vulnerability and Risk Maps• Set Back • Evacuation Routes & Structures
•Physical Interventions (Artificial Methods, Natural Methods and Hybrid Methods)
•Design Guidelines for exposed infrastructure
Risk Assessment- Hazard, Vulnerability and Capacity
Assessment of the Tsunami Hazard and Exposure 1
(1) Tsunami Hazard Source
(2) Tsunami Hazard Impact on land
Exposure
Source
Exposure
Hazard impact on land
Disaster- Hazard impact on land
Hazard event within the broader hazard source
Exposure
Vulnerability
Tsunami Hazard Source Tsunami Hazard Impact on land
Geological and Seismic Studies of the hazard sources
Hydraulic, Geological and other investigations of the impact of the tsunami hazard on land
2.1.
Probabilistic Tsunami Hazard Modelling (PTHM)
Deterministic Tsunami Hazard Modelling
3. 4.
1 Study of the Hazard Source
Geological and Seismic Studies
•Previous events (their location, magnitude and sequence)
•Seismic Gaps
•Potential tsunami sources
•Identification of ‘Credible Scenarios’
2 Study of the impact of the hazard on land
Impact Profile for a given tsunami
Field observations of known events
Measurements from instruments
0
10
20
30
40
50
60
70
80
12/26/04 0:00 12/26/04 6:00 12/26/04 12:00 12/26/04 18:00 12/27/04 0:00
Time
Satellite Images
Paleotsunami Research
Field investigations and application of special techniques on PaleotsunamiResearch
Exposure of the island
Exposure to theTsunami Hazard on land at a given location
Enhanced Exposure to the Tsunami Hazard on land at a given location
3 Probabilistic Tsunami Hazard Modelling (PTHM)
Based on the principle of Probabilistic Seismic Hazard Modelling (PSHM)
Tsunami hazard Source Sensitivity
Allows identification of particular source areas of high vulnerability for a siteWave heights for a 475 year
recurrence time
after Hong Kie Thio
4 Deterministic Tsunami Hazard ModellingDeepwater Modelling, Near-shore and Inundation
Modelling
(1) To study overall exposure of the island
(2) Simulate tsunamis which have taken place and where possible, compare with field measurements on height, inundation and run up.
(3) Simulate potential tsunamis based on ‘Credible Scenarios’ obtained from Geological and Seismic studies of the hazard.
Mathematical Modelling comprise two types of modelling for the different phases of tsunami wave propagation
Regional Models (deep water)
-Generation
-Deep waterPropagation
-Interaction with the Continental Shelf
-NearshoreTransformation
-Shoreline Entry
-Inland Dissipation
Overall
Exposure
Tsunami
Hazard
Impact on
land
Local Models (nearshoreand inundation)
Hazard Model Vulnerability Model
Hazard Data& Parameters
Elements at Risk & Vulnerability
EventOccurrence
EventPropagation
PhysicalImpact
Social & Economic
Impact
EventScenario
TotalRisk
Evaluate all possible (probable) event scenarios
Begin Risk Analysis
Risk Model Flow ChartRisk Model Flow Chart
HazardHazard
ExposureExposure
VulnerabilityVulnerability
after John Schneider
Deep Water Modelling
4.0
0.0-1.0
3.02.01.0
For a ‘given credible scenario’ Deep water Modelling will provide
•Wave heights at the boundary
•Useful information for the development of an Advanced Tsunami Warning System
Information of Overall Exposure
Mathematical Simulation of tsunamis
F1F1 = 300 km
Mathematical Simulation of the IOT
F2
F2 = 570 km
Mathematical Simulation of the IOT
F3
F3 = 330 km
Mathematical Simulation of the IOT
F1 = 330 km
F2 = 570 km
F3 = 300 km
F3
F2
F1
M=9.2
(3.32 N, 95.85 E)
Indian Ocean Tsunami 26th Dec 2006Mathematical Simulation of the IOT by WAPMERR
M=9.2
(3.32 N, 95.85 E)
M=8.7Tsunami 28th March 2005
(2.07 N, 97.01 E)
M=8.4Tsunami 12th September 2007
(4.52 N, 101.37E)
Enhanced Exposure to theTsunami Hazard on land at a given location
Submarine Geological features
Impact of Submarine Geological features, Coastal Processes and Local Geometry on Tsunami Wave Amplification Regional
Location
Location with respect to the Continental Shelf
Shoreline Geometry
Reflection of waves
The influence of Wave Reflection from Maldive Islands
Enhanced Exposure-Characteristics influenced by the shape and geometry
Energy concentration at headlands and in bays
Increase in Height/Speed and formation of Eddies
Concentration of wave energy
depth contoursInc
oming
wav
e ray
s
Historic Dutch Fort
West East
Enhanced exposure of the City of Galle
Bay – increase of speed & height and circulation
Headland – concentration of energy and spreading around the headland
Galle Bay and Headland
41
212
1
2112 )/()/(/ hhbbHH =
Nearshore and Inundation Modelling
Modelling of Tsunami Hazard on land for Assessment of Hazard/Risk
For a ‘given credible scenario’ Inundation Modelling will provide
1. Inundation Height
2. Distribution of Inundation level
3. Velocity of the propagating wave
4. Currents
5. Intrusion length
6. Run-up (where applicable)
7. Flood volume (if possible)
Nearshore and Inundation Modelling
Key Parameters
Inundation Height
Distribution of Inundation level
Velocity of the propagating wave
Currents
Intrusion length
Run-up (where applicable)
Flood volume (if possible)
Modelling of ‘different credible scenarios’ will provide a Data Base of the Key Parameters relating to inundation which could be stored in a GIS to obtain a clear understanding of Hazard and Risk
Development of Critical Scenario
Security of People and Infrastructure
Inundation Depth :>50 cm Human killed (Velocity is strong )
:>1.0 m Partial damage House
:>2-3 m Total damage and
:>5.0 m Damage Building
Hazard Maps of Inundation Contoursbased on Inundation Modelling of different scenarios
(a) Scenario A
(b) Scenario B
(d) Scenario D(c) Scenario C
Anuga Model (GeoScience-Australia)
Hazard Map of Inundation Contours based on field measurements of IOT
after Dr.N.Wijeratne
Dynamic Hazard Map of Inundation of IOT for Galle- PARI, Japan based on Deterministic Tsunami Hazard Modelling
M
For Scenario Mathematical Modellingof nearshore propagation and inundation from tsunamis the requirements are
-Availability of a reliable model representative of the phenomena
-Quality Data
Seabed topography
Land topography
Collaboration with
(1) PARI, Japan
(2) Geo-Science, Australia
(3) Model of Prof. Imamura
(4) ICG/IOTWS
Lidar Surveys of the Coastal Zone carried out with Italian Assistance
Colombo
Kalutara
GalleHambantota
Pottuvil
BatticaloaPuttalam
Lidar Surveys of the Coastal Zone carried out with Italian Assistance
HyperDEMHyperDEM””The precise 3The precise 3--D model D model of the coastal areas of of the coastal areas of Sri LankaSri Lanka
Airborne Airborne acquisition(Stage 1)
Airborne Airborne acquisition(Stage 2)
SatelliteSatelliteacquisitions(Stage 2)
Detail Topographical Data
Detailed Topographical Data (LiDAR Surveys)Detailed Topographical Data (LiDAR Surveys)Full 3Full 3--D reconstruction of the urban area of Galle. In foreview, the DuD reconstruction of the urban area of Galle. In foreview, the Dutch Forttch Fort
2 Vulnerability
Structural, Economic, Human, Social, Cultural and Psychological
Vulnerability represents the proneness of society and its full structure to be affected by the hazard.
Vulnerability is a dynamic in character, it is modified by people, organizations, governments, social processes, economic trends, natural events, etc.
Vulnerability depends on the type of hazard, and it can be conceived as having various degrees or levels depending on the magnitude of the external event.
after Juan Carlos Villagran
The Sector Approach
NationalState or
ProvinceDistrict or Municipal
Local or Community
Single unit or house
Human being
Housin
gBas
ic Lif
elines
Health
Educati
on
Infra
struc
ture
Commerc
eInd
ustry
Finan
ce
Telec
ommunicatio
nsPhysical
FunctionalEconomic
Human condition / Gender
Geographical Level Dimension
Dimension of Sectors
Dimen
sion of
Components
Agricu
lture
Energ
y
Vulner
abilit
y of a
parti
cular
healt
h fac
ility o
r cen
ter
The vulnerability of the particular health facility is to be determing via the assessment of physical, functional, economic (if private), human condition / gender; administrative, and environmental components.
Administrative Environmental
NationalState or
ProvinceDistrict or Municipal
Local or Community
Single unit or house
Human being
Housin
gBas
ic Lif
elines
Health
Educati
on
Infra
struc
ture
Commerc
eInd
ustry
Finan
ce
Telec
ommunicatio
nsPhysical
FunctionalEconomic
Human condition / Gender
Geographical Level Dimension
Dimension of Sectors
Dimen
sion of
Components
Agricu
lture
Energ
y
Vulner
abilit
y of a
parti
cular
healt
h fac
ility o
r cen
ter
The vulnerability of the particular health facility is to be determing via the assessment of physical, functional, economic (if private), human condition / gender; administrative, and environmental components.
Administrative Environmental
after Juan Carlos Villagran
Capacity, Resilience and Preparedness3
-Awareness-Early Warning-Response-Evacuation / Safe Places-Evacuation Structures -Tsunami Resilient Infrastructure
28th March 2005-Successful evacuation
Assessment of the Degree of Public Awareness on tsunamis
1200 interviews: 600 School Children & 600 General Public
A, 13%
B, 15%
C, 2%
D, 2%
E, 6%F, 42%
G, 15%H, 5%
How can an approaching tsunami be identified?
A - Information obtained from an early warning system
B - By local mass media (TV/radio etc.)C - International media (BBC/CNN)D - Awareness by Police E - Information from general publicF - Abnormal receding of seaG - Abnormal changes in animal/bird
behaviorH - Advancement of a huge wave
towards coastline
Did you receive an early warning of the tsunami on 28 March 2005?
Yes49%
No29%
Not relevant 22%
TV 40%
Radio 13%Police/Forces
21%
Telephone 7%
Word of Mouth 19%
If ‘Yes’, how?
Improving Coastal Community ResilienceBased on Methodology developed by the USAID/IOTWS Project
Governance
Socio-economy and Livelihoods
Coastal Resources Management
Land Use Management and Structures
Risk Knowledge
Warning and Evacuation
Emergency Response
Disaster Recovery
0123
GovernanceSocio-economy and
Livelihoods
Coastal ResourceManagement
Land Use Managementand Structures
Risk Knowledge
Warning & Evacuation
Emergency Response
Disaster Recovery
Middle Level Managers
0123
GovernanceSocio-economy and
Livelihoods
Coastal ResourceManagement
Land Use Managementand Structures
Risk Knowledge
Warning & Evacuation
Emergency Response
Disaster Recovery
Villagers
Design Guidelines for Tsunami Resilient Infrastructure
Development of Design Guidelines should be based on Damage Assessment should cover analysis of infrastructure (in the context of wave environment) which were
(1)-destroyed (2)- damaged (3)- least affected (survived)
Fig 3.0 :Unawatuna to Dodanduwa
Mahamodara
Fully Damaged
Not Damaged
Partially DamagedDPN
NNPD
NN
DDDDDD
DDDD D
DDDDDD
DDDD
PP
PD
P
PPD
DDP
NNN
NN
NPPD
PPD
NN
SCALE
0 1 2 km
Dadalla
Gintota
Wellaboda
Galle
Unawatuna
Railway
Water Body
Road
Pattern of damages to houses (Unawatuna to south of Hikkaduwa)
City of Galle
Damage to the City Center.
Damaged houses behind Gall bay.
Damaged bridge.
Damaged houses behind Gall bay.
Inundation and Damage in Galle
Design Guidelines for Tsunami Resilient Infrastructure
a) Rehabilitation of damaged structuresb) Strengthening existing structuresc) New construction
(1) Overall Design Guidelines(2) Detailed Design Guidelines
(a) (b)(c)
Overall Design Guidelines providing advice on location, layout, orientation, structural configuration, geo-technical considerations and other considerations relating to good design practice.
Detailed Design Guidelines leading to hydraulic and structural loads, geo-technical issues and detailed design information
Building a Tsunami Resilient Community
Map for Tsunami Hazard based on IOT
Inundation Contours after Dr.N.Wijeratne
Map for Safe Locationsafter Dr.N.Wijeratne
Safe Locations Safe areas and safe buildings
Map for Safe Locationsafter Dr.N.Wijeratne
Safe Locations Safe areas and safe buildings
Map for Evacuation Routes and Places(should be well sign posted)
Preparation of Tsunami Evacuation Plans with the participation of community
Tsunami Education Programme
Typical Tsunami Education Materials