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The Climate Change and Urban Impacts Toolbox
Workshop - July 2012
Stage 2: Risk identification and assessment using
RiskScape: multi-hazard impact and risk modelling tool
Ryan Paulik – Hazard Analyst, NIWA
Presentation Overview
Introduction to the RiskScape Model and Program
RiskScape Model Design
RiskScape Uses
RiskScape Demonstration: Westport Flood Example
Get Involved in RiskScape
Urban Impacts Toolbox:
Third Tray – Identify the Risks
Tool 3.2:
Using RiskScape for
Risk Analysis
Tool 3.3:
Case Study Example of
Risk Assessment Using
RiskScape
What is RiskScape?
A program to develop an easy-to-use impact and risk assessment
model for natural hazards.
RiskScape is developed jointly by NIWA and GNS Science with impact and risk models
contributed by:
NIWA for weather and coastal hazards,
GNS Science for geological hazards, and
Jointly where cross-over occurs e.g. tsunami.
Introduction to the RiskScape Model and Program
Why the need for RiskScape?
Legislative requirements to assess risk (CDEM Act 2002) and avoid or
mitigate the potential effects of natural hazards (RMA 1991).
No standardised methods in New Zealand for the quantitative
assessment of natural hazard impacts and risk.
No natural hazard impact and risk assessment software developed
specifically for New Zealand.
Nationally, economic and social impacts from natural hazards occur
frequently….
25 (57) major
events
2001-2010 18 (23) major
events
1981-90
20 (39) major
events
1991-00
0
20
40
60
80
100
120
140
1980 1985 1990 1995 2000 2005 2010
Insu
ran
ce
pa
y o
uts
20
07
($
mill
ion
)
Year Insurance Council NZ, 2011
RiskScape Requirements
In scoping the RiskScape model, potential end-users required that
a impact and risk model be:
Available at a reasonable cost
Not reliant on an expensive GIS platform or other software
Easy to learn
Runs relatively quickly
Flexible enough to import local hazard and asset data
Able to model impacts and risk for multiple hazards
Able to create impact and risk models for a range of
natural hazard management activities
Maintained sustainably
RiskScape Progress
2004-2008: Phase 1 – ‘Proof of Concept’
Investigate end-user needs
Test existing impact and risk model software (e.g. HAZUS)
Develop a working software prototype for multiple hazards
International panel review
2008-2016: Phase 2 – ‘Operational Model’
Expand range of hazards, assets and impacts able to be modelled.
Expand asset dataset e.g. national building database
Calibrate and refine vulnerability models e.g. post-disaster surveys
Increase end-user uptake
Risk Assessment
Approach
The model is built on a generic
framework for estimating risk
from a natural hazard event:
Risk =
Hazard x Asset at risk x
Consequences
RiskScape Model Design
Third
Tray:
Identify
the Risks
Fourth
Tray:
Decision
Support
Tools
Hazard Asset Vulnerability Impact
RiskScape Modules Building RiskScape on generic risk framework has enabled its modular design.
Impacts
Assets
Attribute
Attribute
Attribute
Hazard
Exposure
Exposure
Vulnerability
Damage / Fragility function
Damage / Fragility function
Windstorm
Wind speeds
150-180km/h
(1:50yr)
Building class:
Timber/weatherboard
Residential building
Construction year 1960
Sheet metal roof
Pre-determined relationship
of how susceptible/
vulnerable this building
class is to wind damage? - damage states: 25% minor, 60%
moderate, 15% severe damage
- $10-40k building repair costs
- 5% un-inhabitable for >1 month
Earthquake
Ashfall
Floods
Wind
Tsunami Landslides
Hazard Module
Storm Surge
Drought
Wildfire
Coastal Erosion Water Supply
Dam Breach
Hazard Module
Earthquakes Volcanoes Tsunami Floods Wind
Real-time Landslides
Storm Surge
Earthquake Ashfall Tsunami Floods
Landslides
Wind
Pre-computed
Asset Module • Asset inventories that contain social or
economic asset attributes vulnerable to natural
hazard impact/damage.
• Asset attributes obtained from a range of
databases e.g. Quotable Value, Statistics NZ.
• Asset attribute details on a site by basis are
ideally required for high resolution modelling.
• Inventories can be developed at various scales
depending on the modelling purpose e.g.
regional/district scale, floodplain, multi-lot
subdivision.
Asset Module
Data Collection and Quality
Asset Module
Data Collection and Quality
Data Quality (a number in range 1 to 7)
1. Global knowledge (guessed from general understanding of assets)
2. Derived by random selection from distributions - low reliability
3. Derived by random selection from distributions - high reliability
(includes occupancies and other statistical data with meshblock or Area
Unit resolution, and distributions derived from QV data)
4. Supplied (by a reliable agent on a building by building or property by
property basis (council, owner, QV) (includes Rawlinson cost-rates
applied to QV floor area data)
5. Observed (by walk-by survey where only part of the asset is visible)
6. Surveyed (by detailed inspection of specific asset)
7. Measured (by reference to plans and engineering calculation)
FOOT_ID nzmgE nzmgN Storeys Year RV ($2009) Nconstype Nstrqual OccN OccD AmpCls LqCls LsCls C_Val_Tot
60000068 2471942 5739842 1 1960 553,400 6 1 0 5 5 5 1 110,700
60000069 2471942 5739842 2 1995 1,026,900 5 2 0 13 5 5 1 410,800
60000070 2471942 5739842 1.73 1975 1,499,200 5 2 0 18 5 5 1 599,700
60000071 2471940 5739839 1.42 1960 1,258,900 6 1 0 15 5 5 1 503,600
60000072 2470687 5740740 1 1990 251,800 1 1 2 0 5 5 1 75,500
60000073 2474991 5747444 1 1975 21,800 5 1 0 0 5 5 1 17,400
60000074 2474993 5747447 1.31 1980 1,789,600 1 1 1 12 5 5 1 357,900
60000075 2473346 5743100 1.92 1990 545,100 1 1 4 1 5 5 1 163,500
60000076 2477073 5742315 1 1990 90,500 1 1 1 0 5 5 1 27,200
60000077 2477741 5743869 1.25 1990 226,300 1 1 1 0 5 5 1 67,900
60000078 2487598 5744216 1 1940 81,700 5 1 0 0 4 2 1 65,400
60000079 2483318 5741209 1 1975 22,400 5 1 0 0 5 5 1 17,900
60000080 2482815 5742058 1 1920 98,200 5 1 1 0 5 5 1 39,300
60000081 2483221 5741943 1.8 1900 641,400 7 1 0 11 5 5 1 192,400
60000082 2480345 5740719 1 1920 20,700 10 1 0 0 5 5 1 16,500
Vulnerability Module
Social and Economic Impact Categories
Indirect
Non - $
Direct
$
- Business disruption
- Loss of production
- Disruption of networks
- Disruption of public serv.
- Disruption of households
- Alternative accommodation
…..
- Loss of jobs
- Disruption to schooling
- Disruption to Social life
- Stress induced ill health
- Other health effects
- Environmental damage
.....
Non - $ $
- Buildings
- Contents
- Clean-up
- Disruption
- Vehicles
- Agricultural damage
- Forestry damage
- Infrastructure
.....
- People affected
- People injured
- People dead
- Loss of personal items
……
Vulnerability Module
Damage and Fragility Curves • Damage Curves: Relate hazard characteristics (e.g. flood inundation depth) to a % of
asset damage (e.g. relative to building replacement cost).
• Fragility Curves: Describe a (probabilistic) relationship between demand (e.g. flood
inundation depth) and asset damage.
Damage
ratio
Hazard intensity
Vulnerability Module
Post-Event Damage Surveys
• Direct and indirect impact data
collected to either develop or
validate damage and fragility
functions. Greater volume of
data collected decreases
uncertainties associated with
these functions.
• Impact surveys are undertaken
by either field investigations,
postal surveys or a
combination of both.
Module Data Availability
Vulnerability
Hazard
Assets
Buildings
People
Lifelines, economy
Partially provided
Provided by RiskScape
Provided by RiskScape
Provide own data
Earthquakes – provided by RiskScape
Volcanoes – provided by RiskScape
Floods – provide own data
Wind – provide own data
Tsunami – provide own data
RiskScape Tools
Model Limitations
Like any form of modelling there are limitations…..
• Calculating impacts and risk is influenced by the accuracy of hazard models.
• Asset attributes are often missing from asset databases and therefore need to
be generated to enable impact and risk (i.e. accuracy levels assigned).
• The development of robust (i.e. natural hazard event developed or calibrated)
damage and vulnerability functions is a worldwide issue for weather hazards
and may not exist for all hazard and asset impact combinations. Some
damage curves have to be created from expert knowledge in the first instance
then calibrated in the field (common practise).
• Uncertainty quantifiers are planned to be built into the RiskScape model.
RiskScape Uses
Local Government
RMA 1991 CDEMA 2002 LGA 2002
State of Environment/ Plan
Provision Monitoring /Natural
Hazard Records (s.35)
Section 17
• Risk Identification, assessment and
Communication
• Group Plan Development/Review
• Emergency Response
• Emergency Recovery
• CDEM Training (also s.18)
Bylaws (s.145, s.149)
Regional Policy
Statements/Regional
Plans/District Plans (s.32,
s.62, s. 65, s.75)
Long-term Community
Council/Annual Plans
(s.93, s.95)
Resource Consents (s. 104,
s.106, s.108) (??)
Public education (s.56) Asset
Management/Community
Services (s.11A)
Note: RiskScape’s use is not limited to only the above Acts or Policies.
Private and Research Sectors
Lifeline Utilities Insurance Research
• Ability to maintain
operation during and
emergency (CDEMA
s.60).
• Infrastructure impact and
risk assessment
• Infrastructure
management
(planning/staging
upgrades etc.).
• High resolution impact and
risk modelling (impacts
calculated at site scale).
• Underwriting – setting
premiums and deductible
rates.
• Risk portfolio monitoring
and contingency planning
e.g. event scenarios.
• Software that supports the
development and application of
damage and fragility functions
created from historical events,
engineering experiments, social
surveys etc.
• Generate impact and risk data to
facilitate research such as
hazard mitigation effectiveness,
social surveys on hazard
perceptions and preparedness.
Insurance Council NZ, 2011
RiskScape Demonstration:
Westport A2 2090 1 in 50 Year Flood Event
Insurance Council NZ, 2011
Impact Model Selection
1. Impact Model: Select Hazard, Asset and Impacts
types to create an impact model run.
Insurance Council NZ, 2011
Impact Model Refinement
2. Select Asset Data: Option of using the complete
building dataset or a subset e.g.
timber-weatherboard buildings only.
3. Select Aggregation Unit: Option to aggregate impact data to
Grid (1km x1km), Suburb,
Meshblock area units.
Impact Model Refinement
4. Select Hazard Model: All available flood hazard models
for Westport are listed.
5. Select Hazard Parameters: Dropdown box with a list of
Westport flood hazard models for
different future emission scenarios.
6. Select Impact Model: Chose a relationship between
building vulnerability and either
flood-depth/velocity or flood-depth
only.
Insurance Council NZ, 2011
Impact Model Refinement
7. Select Time of Event: Option to flood Westport at either day time
or night time. Generally more relevant for
modelling human impacts.
8. Select Mitigation Factor: Option to chose the amount of lead time before flood
inundation. Important for calculating the potential
reduction to building and contents damage.
Insurance Council NZ, 2011
Run Impact Model Analysis
Insurance Council NZ, 2011
Impact Model Results
9. View Assets: View the spatial distribution of the
assets and their attributes used in
the impact model run.
10. View Hazard and Impacts: View the flood hazard model and
overlay the impacts calculated by
the impact model run.
11. View Aggregated Impacts: View the distribution of aggregated
impacts calculated for each grid unit.
Insurance Council NZ, 2011
Impact Model Results
12. CSV File: Export impact data to MS Excel to
analyse in more detail.
13. Google Earth: Export impact data to Google Earth for a quick overview
of the spatial distribution of impacts.
Insurance Council NZ, 2011
Get Involved in RiskScape
We are keen to get more people
and organisations using the tool!!
• Sign-up as an individual user on
the RiskScape website.
• Local governments can become
partners (currently have 3 partner
areas/regions) to tailor the model
for their jurisdictional area.
• Researchers can participate by
creating RiskScape modules (e.g.
hazard, asset, vulnerability) and
software add-ins or tools.
Website: www.riskscape.org.nz
Contact: [email protected]
Questions and Discussion
The Toolbox is located at:
http//:www.niwa.co.nz/climate/urban-impacts-toolbox