DSD-INT 2022 Developing large scale and fast compound flood models for Australian coastlines - de Goede
•
1 like•73 views
Presentation by Roel de Goede (Deltares, Netherlands), at the Delft3D User Days, during Delft Software Days - Edition 2022. Wednesday, 16 November 2022.
Recommended
More Related Content
Similar to DSD-INT 2022 Developing large scale and fast compound flood models for Australian coastlines - de Goede
Similar to DSD-INT 2022 Developing large scale and fast compound flood models for Australian coastlines - de Goede (20)
More from Deltares
More from Deltares (20)
Recently uploaded
Recently uploaded (20)
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