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OpenQuake: Impact of Engine 1.0 launch
on worldwide seismic hazard assessment
Marco Pagani, GEM Hazard Team, GEM Foundation
Damiano Monelli, GEM Hazard Team, SED-ETH
Graeme Weatherill, GEM Hazard Team, GEM Foundation
Laurentiu Danciu, GEM Hazard Team, SED-ETH
on behalf of the GEM Risk, the GEM IT Teams and the GEM Community
Motivations
“anything less than release of the actual source code is an
indefensible approach for any scientific result that
depends on computation, because not releasing such
code raises needless, and needlessly confusing roadblocks
to reproducibility” (Ince et al., 2012; Nature)
Reproducibility and transparency
We wanted to shift from the current one-
one-one paradigm to the one-many-many
development model. Only in this way it’s
possible to ensure long term maintenance,
incorporate newest ideas and features and
aim at a large community of users.
A community based development
process A multi-HW and multi-OS
software
Main features
A modular software
OQ-engine is organized into a
number of libraries
oq-hazardlib
oq-risklib
oq-nrmllib
A multi-purpose tool
A software for the calculation of hazard
and physical risk
Hazard Risk
Open and transparent
Take a look at
http://github.com/gem
Main features (contd)
Documented
We produce documentation explaining
how to use the oq-engine and the
methods
Tested
Testing is an integral part of the
development process
The OpenQuake-engine risk module
OQ-engine risk module
The risk module of the oq-engine is currently comprised of five
risk calculation workflows:
• Two calculate losses and damage distributions due to a single
earthquake
• Two calculate seismic risk using probabilistic seismic hazard
• One uses loss exceedance curves to assess whether
retrofitting measures would be economically viable or not
Main result typologies:
• Loss maps, loss statistics, loss curves, total loss curve
• Damage distribution per asset or per taxonomy, collapse maps
• Benefit/cost ratio map
The OpenQuake-engine hazard module
The oq-engine natively support PSHA input models accounting
for epistemic uncertainties by means of a logic tree structure.
The input generally consists of:
- Configuration file
- Seismic source model logic tree
- Ground motion logic tree
Input model
A collection of source typologies
Five source typologies:
‒ Point Source
‒ Area Source
Can be used for
modeling distributed
seismicity
Can be used for
modeling shallow
crustal faults,
subduction faults
Without floating ruptures
With floating ruptures
‒ Simple Fault Source
‒ Complex Fault Source
‒ Characteristic fault Source
A growing list of Ground Motion Prediction Equations
for different Tectonic Regions
Stable continental regions
‣ Atkinson and Boore (2006)
‣ Campbell (2003)
‣ Toro et al. (1997)
Shallow Earthquakes in Active
Tectonic R.
‣ Abrahamnson and Silva (2008)
‣ Akkar and Bommer (2010)
‣ Akkar and Cagnan (2010)
‣ Akkar et al. (2013)
‣ Boore and Atkinson (2008)
‣ Cauzzi and Faccioli (2008)
‣ Chiou and Youngs (2008)
‣ Sadigh et al. (1997)
Subduction
‣ Atkinson and Boore (2003)
‣ Lin and Lee (2008)
‣ Youngs et al. (1997)
‣ Zhao et al. (2006)
Calculators:
‣ Classical Probabilistic Seismic Hazard Analysis (PSHA)
‣ Event-based PSHA
‣ Scenario hazard
‣ Disaggregation (currently only for Classical PSHA)
One code serving different needs …
Classical PSHA Calculator
rativeexamples
(a)
Event-based PSHA calculator
Scenario hazard calculator
Disaggregation calculator
Incorporating models from the community
‣ United States 2008 (USGS)
‣ Canada (Canada Geological Survey)
‣ Alaska 2007 (USGS)
‣ Japan 2012 (J-SHIS – NIED)
‣ Australia (Geoscience Australia)
‣ Taiwan (Cheng et al., 2007)
‣ SHARE (Regional program for the Europe)
‣ EMME (Regional program for the Middle East)
‣ South America 2010 (USGS)
‣ Global Uniform Model
Incorporating models from the community
OpenQuake-engine NIED
Testing typologies in the OpenQuake-engine:
- Unittests
- Quality-assurance tests
“Many of these scientists rely on the fact that the software has
appeared in a peer-reviewed article, recommendations, and
personal opinion, as their reason for adopting software. This is
scientifically misplaced, as the software code used to conduct the
science is not formally peer-reviewed.” (Joppa et al., 2013;
Science)
Testing, testing, testing
OQ
PEER
Testing, testing, testing
Application examples
Verification calculations SSHAC Level 3 project
‣ An application of the Classical-PSHA methodology
‣ SSHAC level 3 and 4 are the most sophisticated PSHA models
‣ Compared the results of some Ground Motion Prediction
Equations implemented in OQ-engine against the ones
prepared inside the project using a commercial software for
Probabilistic Seismic Hazard Analysis
‣ Computed hazard curves for a selected set of test cases
Verification calculations SSHAC Level 3 project
Index Event Table for the Bosphorus 1 deal
‣ An application of the Event-based PSHA methodology
‣ Computed Stochastic Event Sets (SES) of different duration
using one of the SHARE models
‣ From SES we
obtained a collection
of spatially correlated
Ground Motion Fields
‣ For each Ground
Motion Field we
computed the
corresponding Event
Index
SHARE
Global Uniform Hazard Model
Where we are …
Future developments
Potential new features
Tsunami hazard
Tsunamis pose a serious risk
threat in several costal areas of
the world. A module in the OQ-
engine would be thus extremely
useful.
Short term hazard
The classical PSHA methodology
takes into account only
mainshocks. For this reason it
necessary to implement a
specialised calculator to be used to
for the assessment of losses
produced by long aftershock
sequences.
Non-parametric sources
This source typology will allow the
calculation of hazard virtually using
whatever PSHA input model. A non-
parametric source is a list of ruptures
each one with an associated probability
of occurrence in a given time span.
Near Source Effects
Some of the newest GMPEs
incorporate terms for accounting
near-source effects. Since the ground
motion close to faults is largely
controlled by phenomena their
incorporation into hazard can be of
paramount importance.
OpenQuake-engine 1.0
Released on June, 2013
http://globalquakemodel.org/openquake

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OpenQuake: Impact of Engine v 1.0 launch on worldwide #seismic hazard assessment #GEMRVL2013

  • 1. OpenQuake: Impact of Engine 1.0 launch on worldwide seismic hazard assessment Marco Pagani, GEM Hazard Team, GEM Foundation Damiano Monelli, GEM Hazard Team, SED-ETH Graeme Weatherill, GEM Hazard Team, GEM Foundation Laurentiu Danciu, GEM Hazard Team, SED-ETH on behalf of the GEM Risk, the GEM IT Teams and the GEM Community
  • 2. Motivations “anything less than release of the actual source code is an indefensible approach for any scientific result that depends on computation, because not releasing such code raises needless, and needlessly confusing roadblocks to reproducibility” (Ince et al., 2012; Nature) Reproducibility and transparency We wanted to shift from the current one- one-one paradigm to the one-many-many development model. Only in this way it’s possible to ensure long term maintenance, incorporate newest ideas and features and aim at a large community of users. A community based development process A multi-HW and multi-OS software
  • 3. Main features A modular software OQ-engine is organized into a number of libraries oq-hazardlib oq-risklib oq-nrmllib A multi-purpose tool A software for the calculation of hazard and physical risk Hazard Risk Open and transparent Take a look at http://github.com/gem
  • 4. Main features (contd) Documented We produce documentation explaining how to use the oq-engine and the methods Tested Testing is an integral part of the development process
  • 6. OQ-engine risk module The risk module of the oq-engine is currently comprised of five risk calculation workflows: • Two calculate losses and damage distributions due to a single earthquake • Two calculate seismic risk using probabilistic seismic hazard • One uses loss exceedance curves to assess whether retrofitting measures would be economically viable or not Main result typologies: • Loss maps, loss statistics, loss curves, total loss curve • Damage distribution per asset or per taxonomy, collapse maps • Benefit/cost ratio map
  • 8. The oq-engine natively support PSHA input models accounting for epistemic uncertainties by means of a logic tree structure. The input generally consists of: - Configuration file - Seismic source model logic tree - Ground motion logic tree Input model
  • 9. A collection of source typologies Five source typologies: ‒ Point Source ‒ Area Source Can be used for modeling distributed seismicity Can be used for modeling shallow crustal faults, subduction faults Without floating ruptures With floating ruptures ‒ Simple Fault Source ‒ Complex Fault Source ‒ Characteristic fault Source
  • 10. A growing list of Ground Motion Prediction Equations for different Tectonic Regions Stable continental regions ‣ Atkinson and Boore (2006) ‣ Campbell (2003) ‣ Toro et al. (1997) Shallow Earthquakes in Active Tectonic R. ‣ Abrahamnson and Silva (2008) ‣ Akkar and Bommer (2010) ‣ Akkar and Cagnan (2010) ‣ Akkar et al. (2013) ‣ Boore and Atkinson (2008) ‣ Cauzzi and Faccioli (2008) ‣ Chiou and Youngs (2008) ‣ Sadigh et al. (1997) Subduction ‣ Atkinson and Boore (2003) ‣ Lin and Lee (2008) ‣ Youngs et al. (1997) ‣ Zhao et al. (2006)
  • 11. Calculators: ‣ Classical Probabilistic Seismic Hazard Analysis (PSHA) ‣ Event-based PSHA ‣ Scenario hazard ‣ Disaggregation (currently only for Classical PSHA) One code serving different needs …
  • 16. Incorporating models from the community ‣ United States 2008 (USGS) ‣ Canada (Canada Geological Survey) ‣ Alaska 2007 (USGS) ‣ Japan 2012 (J-SHIS – NIED) ‣ Australia (Geoscience Australia) ‣ Taiwan (Cheng et al., 2007) ‣ SHARE (Regional program for the Europe) ‣ EMME (Regional program for the Middle East) ‣ South America 2010 (USGS) ‣ Global Uniform Model
  • 17. Incorporating models from the community OpenQuake-engine NIED
  • 18. Testing typologies in the OpenQuake-engine: - Unittests - Quality-assurance tests “Many of these scientists rely on the fact that the software has appeared in a peer-reviewed article, recommendations, and personal opinion, as their reason for adopting software. This is scientifically misplaced, as the software code used to conduct the science is not formally peer-reviewed.” (Joppa et al., 2013; Science) Testing, testing, testing
  • 21. Verification calculations SSHAC Level 3 project ‣ An application of the Classical-PSHA methodology ‣ SSHAC level 3 and 4 are the most sophisticated PSHA models ‣ Compared the results of some Ground Motion Prediction Equations implemented in OQ-engine against the ones prepared inside the project using a commercial software for Probabilistic Seismic Hazard Analysis ‣ Computed hazard curves for a selected set of test cases
  • 23. Index Event Table for the Bosphorus 1 deal ‣ An application of the Event-based PSHA methodology ‣ Computed Stochastic Event Sets (SES) of different duration using one of the SHARE models ‣ From SES we obtained a collection of spatially correlated Ground Motion Fields ‣ For each Ground Motion Field we computed the corresponding Event Index
  • 24. SHARE
  • 28. Potential new features Tsunami hazard Tsunamis pose a serious risk threat in several costal areas of the world. A module in the OQ- engine would be thus extremely useful. Short term hazard The classical PSHA methodology takes into account only mainshocks. For this reason it necessary to implement a specialised calculator to be used to for the assessment of losses produced by long aftershock sequences. Non-parametric sources This source typology will allow the calculation of hazard virtually using whatever PSHA input model. A non- parametric source is a list of ruptures each one with an associated probability of occurrence in a given time span. Near Source Effects Some of the newest GMPEs incorporate terms for accounting near-source effects. Since the ground motion close to faults is largely controlled by phenomena their incorporation into hazard can be of paramount importance.
  • 29. OpenQuake-engine 1.0 Released on June, 2013 http://globalquakemodel.org/openquake
  • 30. Relative difference (%): J-SHIS – OpenQuake Underestimation probably due to missing modeling of correction for anomalous seismic intensity distribution Overestimation in inland locations – J-SHIS uses point ruptures – OpenQuake uses finite ruptures