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2022-11-16
Developing large scale and
fast compound flood models
for Australian coastlines
Delft Software Days – Roel de Goede
Acknowledgements
• Simone De Kleermaeker, Matthijs Lemans, Mark Hegnauer, Maarten van Ormondt, Tim
Leijnse, and others (Deltares)
• Cameron Druery (Worley - waterRIDE)
• Yenory Morales (Water Technology)
• Luke Balasingham, Shoni Maguire, Mark Menzel, Mark Dyall (Australian Climate Service)
Content
• Project need during Australian Floods
• The Flood Inundation Forecasting System in Proof of
Concept phase (FliFS PoC)
• Lessons learned and next steps
FliFS
PoC
–
Delft
Software
Days
2022
2
Maitland
Camden, Western Sydney
Project need
• Flooding, cyclones and severe storms have a significant impact
on Australia’s economy.
• Especially in 2022 they again have shown the vulnerability of
low-lying areas in floodplains and along the coast to flooding
• To help mitigate the impacts, emergency services benefit from
accurate real-time flood inundation forecasts to support
decision-making before, during, and after events.
• This requires a sophisticated early warning system capable of
integrating real-time data and fast, nation-scale compound
modeling tools
• The solution needed to be:
− Able to be shared across governments and more widely
− Linked to official forecasts/warnings where possible
− Provide an open approach to the modelling
FliFS
PoC
–
Delft
Software
Days
2022
3
Photograph: NEW SOUTH WALES STATE
EMERGENCY/AFP/Getty Images
Project challenges
- Bringing in real-time data from multiple sources
- Integration of multiple models to account for river discharge, precipitation and storm surges
- Cover 7000+ (!) km of coastline
- System needed to be fast
- Project timeline of 2 months
… and then it also started to rain heavily in Australia during the project
FliFS
PoC
–
Delft
Software
Days
2022
4
X
FliFS in action – Brisbane feb 2022
FliFS providing maximum
inundation extent + water depth
for the next 5 days
FliFS
PoC
–
Delft
Software
Days
2022
5
Project outline
The four components of the PoC
6
FliFS
PoC
–
Delft
Software
Days
2022
Modelling framework
FliFS
PoC
–
Delft
Software
Days
2022
7
How to make models for 7000+ km and automatically link wflow and SFINCS?
wflow
• Open-source, physically based model for
modelling hydrological processes
• Using (mostly global) open data sets
• Domains based on catchments areas
FliFS
PoC
–
Delft
Software
Days
2022
8
https://deltares.github.io/Wflow.jl/dev/
wflow
13 models
(NSW, QLD, NT)
FliFS
PoC
–
Delft
Software
Days
2022
9
Observed +
NWP (ACCESS-G)
https://deltares.github.io/
Wflow.jl/dev/
SFINCS – model setup
FliFS
PoC
–
Delft
Software
Days
2022
10
Initially based on global DEM, when available, local topobathy data is used
SFINCS – model forcing
FliFS
PoC
–
Delft
Software
Days
2022
11
NWP (ACCESS-G)
SFINCS – Bohle 2019
FliFS
PoC
–
Delft
Software
Days
2022
12
For most locations, no high-resolution DEM was available …
SFINCS – Bohle 2019
FliFS
PoC
–
Delft
Software
Days
2022
13
SFINCS – Brisbane 2011
Observed (red)
FliFS
PoC
–
Delft
Software
Days
2022
14
SFINCS – Brisbane 2011
Observed and simulated, Moggil and Brisbane City Alert
FliFS
PoC
–
Delft
Software
Days
2022
15
SFINCS – Brisbane 2011 Flood extent
16
FliFS
PoC
–
Delft
Software
Days
2022
Lessons learned and next steps
17
Combining Delft Dashboard and HydroMT can be quite powerful for quickly setting up models
• Using watershed data can provide ‘physically correct‘ model delineation
• If wflow and SFINCS models are setup based on same data layers in HydroMT, connections of river
input points are easily made
The FliFS POC has proved that a multi-model approach can be taken to deliver appropriate flood
inundation information over large areas, but in the next phase:
• Use local data (DEM, reservoir operations etc) as much as possible to improve the model chain
• Validation against flood footprints (Copernicus/QFES damage data/other remote sensed
information)
FliFS
PoC
–
Delft
Software
Days
2022
Contact
www.deltares.nl
info@deltares.nl
@deltares
@deltares
linkedin.com/company/deltares
facebook.com/deltaresNL

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DSD-INT 2022 Developing large scale and fast compound flood models for Australian coastlines - de Goede

  • 1. 2022-11-16 Developing large scale and fast compound flood models for Australian coastlines Delft Software Days – Roel de Goede Acknowledgements • Simone De Kleermaeker, Matthijs Lemans, Mark Hegnauer, Maarten van Ormondt, Tim Leijnse, and others (Deltares) • Cameron Druery (Worley - waterRIDE) • Yenory Morales (Water Technology) • Luke Balasingham, Shoni Maguire, Mark Menzel, Mark Dyall (Australian Climate Service)
  • 2. Content • Project need during Australian Floods • The Flood Inundation Forecasting System in Proof of Concept phase (FliFS PoC) • Lessons learned and next steps FliFS PoC – Delft Software Days 2022 2 Maitland Camden, Western Sydney
  • 3. Project need • Flooding, cyclones and severe storms have a significant impact on Australia’s economy. • Especially in 2022 they again have shown the vulnerability of low-lying areas in floodplains and along the coast to flooding • To help mitigate the impacts, emergency services benefit from accurate real-time flood inundation forecasts to support decision-making before, during, and after events. • This requires a sophisticated early warning system capable of integrating real-time data and fast, nation-scale compound modeling tools • The solution needed to be: − Able to be shared across governments and more widely − Linked to official forecasts/warnings where possible − Provide an open approach to the modelling FliFS PoC – Delft Software Days 2022 3 Photograph: NEW SOUTH WALES STATE EMERGENCY/AFP/Getty Images
  • 4. Project challenges - Bringing in real-time data from multiple sources - Integration of multiple models to account for river discharge, precipitation and storm surges - Cover 7000+ (!) km of coastline - System needed to be fast - Project timeline of 2 months … and then it also started to rain heavily in Australia during the project FliFS PoC – Delft Software Days 2022 4
  • 5. X FliFS in action – Brisbane feb 2022 FliFS providing maximum inundation extent + water depth for the next 5 days FliFS PoC – Delft Software Days 2022 5
  • 6. Project outline The four components of the PoC 6 FliFS PoC – Delft Software Days 2022
  • 7. Modelling framework FliFS PoC – Delft Software Days 2022 7 How to make models for 7000+ km and automatically link wflow and SFINCS?
  • 8. wflow • Open-source, physically based model for modelling hydrological processes • Using (mostly global) open data sets • Domains based on catchments areas FliFS PoC – Delft Software Days 2022 8 https://deltares.github.io/Wflow.jl/dev/
  • 9. wflow 13 models (NSW, QLD, NT) FliFS PoC – Delft Software Days 2022 9 Observed + NWP (ACCESS-G) https://deltares.github.io/ Wflow.jl/dev/
  • 10. SFINCS – model setup FliFS PoC – Delft Software Days 2022 10 Initially based on global DEM, when available, local topobathy data is used
  • 11. SFINCS – model forcing FliFS PoC – Delft Software Days 2022 11 NWP (ACCESS-G)
  • 12. SFINCS – Bohle 2019 FliFS PoC – Delft Software Days 2022 12 For most locations, no high-resolution DEM was available …
  • 13. SFINCS – Bohle 2019 FliFS PoC – Delft Software Days 2022 13
  • 14. SFINCS – Brisbane 2011 Observed (red) FliFS PoC – Delft Software Days 2022 14
  • 15. SFINCS – Brisbane 2011 Observed and simulated, Moggil and Brisbane City Alert FliFS PoC – Delft Software Days 2022 15
  • 16. SFINCS – Brisbane 2011 Flood extent 16 FliFS PoC – Delft Software Days 2022
  • 17. Lessons learned and next steps 17 Combining Delft Dashboard and HydroMT can be quite powerful for quickly setting up models • Using watershed data can provide ‘physically correct‘ model delineation • If wflow and SFINCS models are setup based on same data layers in HydroMT, connections of river input points are easily made The FliFS POC has proved that a multi-model approach can be taken to deliver appropriate flood inundation information over large areas, but in the next phase: • Use local data (DEM, reservoir operations etc) as much as possible to improve the model chain • Validation against flood footprints (Copernicus/QFES damage data/other remote sensed information) FliFS PoC – Delft Software Days 2022