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DSD-SEA 2023 Operational flood inundation forecasting in Australia - De Kleermaeker

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13 de Mar de 2023
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DSD-SEA 2023 Operational flood inundation forecasting in Australia - De Kleermaeker

  1. Acknowledgements: • Shoni Maguire, Chris Leahy, Luke Balasingham, Mark Menzel, Mark Dyall (Australian Climate Service / Bureau of Meteorology) • Tim Leijnse, Matthijs Lemans, Mark Hegnauer, Nena Vandebroek (Deltares) • Yenory Morales, Chris Charles, Warwick Bishop (Water Technology) • Cameron Druery (Worley - waterRIDE) Developing a real-time data and modeling framework for operational flood inundation forecasting in Australia DSD-SEA 2023 – Simone De Kleermaeker
  2. Content • Customer request for flood intelligence • FliFS PoC Flood inundation Forecasting System, Proof of Concept − Real Time data handling and multi model approach (Delft-FEWS) − Settlement wide flood mapping (waterRIDE) − State wide gridded rainfall-runoff modelling (wflow) − State wide flood inundation modelling (SFINCS) − Dissemination of results • FliFS in action • Lessons learned and next steps DSD-SEA 2023 Operational flood inundation forecasting in Australia Maitland Camden, Western Sydney
  3. Customer Request • National Emergency Management Agency (NEMA) provided an initial request for a Flood Intelligence Service • Such a service allows the Australian Government to make informed decisions before, during and after flood events on a national scale − Before and during events: likely inundation area forecasts to assist tactical decision making to protect lives and property − After events: accurate inundation footprints to inform relief, short-term and longer-term recovery activities • The solution needed to be − Shareable across governments and more widely − Linked to official forecasts/warnings where possible − Provide an open approach to the modelling DSD-SEA 2023 Operational flood inundation forecasting in Australia Western Sydney
  4. Open to mix of existing and new, fit for purpose, models Linked to existing Bureau products Sharable outputs National scale possible FliFS Proof of Concept The components of the system based on Delft-FEWS DSD-SEA 2023 Operational flood inundation forecasting in Australia www.delft-fews.com shared open linked National potential
  5. Modelling framework with multi-model approach open approach, linked to official warning, shareable outputs, national coverage DSD-SEA 2023 Operational flood inundation forecasting in Australia Multi-model open approach to provide “best” forecast in any location: 1. High-population (urban) areas Often have detailed flood studies available (for small areas) − waterRIDE models combine existing flood maps with official warning to provide detailed and accurate forecast 2. Urban and regional areas Population and infrastructure, quality (DEM) data − SFINCS models provide inundation forecast, incl effects of complex compound flooding on national scale, using gridded (DEM) info and: − inflow from rivers and streams forecast (wflow models) − tide and storm surge forecast (coastal SFINCS model) 3. Regional areas Not a lot of infrastructure, no quality (DEM) data − Simpler fit-for-purpose approaches (not part of the PoC)
  6. High-population areas: waterRIDE open approach, use existing high resolution model results DSD-SEA 2023 Operational flood inundation forecasting in Australia Brisbane 2011 flood extent: Observed (yellow line) and Simulated (blue surface)
  7. High-population areas: waterRIDE hydraulic interpolation linked to official warning DSD-SEA 2023 Operational flood inundation forecasting in Australia models in QLD and NSW, run automatically based on official warning i. Fitzroy (Rockhampton) - very large coastal catchment ii. Brisbane River - large, linear river system with flood gates iii. Logan/Albert - large, multi-tributary catchment iv. Hastings (Port Macquarie) - medium sized, faster responding catchment v. Georges River (Sydney) - medium sized catchment, multi-jurisdiction vi. Murrumbidgee (Wagga Wagga) - large inland river Official warning Offline 2D maps Real-time map vii. Tweed (Murwilumbah) viii. Manning (Taree) ix. Wilson (Lismore)
  8. High-population areas: waterRIDE outputs shareable results in usable formats DSD-SEA 2023 Operational flood inundation forecasting in Australia Max depth Shapefile Max water level
  9. High-population areas national scale DSD-SEA 2023 Operational flood inundation forecasting in Australia Not feasible for this approach
  10. SFINCS – inundation • Open-source reduced-complexity model designed for super-fast modelling of compound flooding • fluvial, pluvial, tidal, wind- & wave-driven processes • Subgrid - Fast computations, with high-res results − water levels updated on coarse grid (200m in PoC), − flux computations performed on fine grid (10m in PoC) • Detailed info on local elevation is used when determining depths, leading to accurate results Urban areas: wflow and SFINCS open approach, with open source gridded models that can cover large areas DSD-SEA 2023 Operational flood inundation forecasting in Australia wflow – hydrology • Open-source physically based gridded model • Using (mostly global open) gridded data sets https://sfincs.readthedocs.io/ https://deltares.github.io/Wflow.jl/
  11. Urban areas: wflow and SFINCS national coverage, with automated model set-up DSD-SEA 2023 Operational flood inundation forecasting in Australia https://deltares.github.io/hydromt/ HydroMT – model builder tool • Largely automated and reproducible process using HydroMT • For all catchments upstream of the SFINCS model domains • Based on global and local datasets
  12. SFINCS – inundation Brisbane 2011 Simulated (orange), observed (blue) Moggil and Brisbane City Alert Urban areas: wflow and SFINCS national coverage, using existing gridded data sets and models that can easily be updated as needed DSD-SEA 2023 Operational flood inundation forecasting in Australia wflow – hydrology Brisbane 2011 https://opendap.deltares.nl/static/deltares/cosmos/flifs_brisbane_jan2011/index.html Brisbane River @ Gregor Creek Bremer River @ Walloon Brisbane River @ Moggil Stanley River @ Woodford
  13. SFINCS – inundation, 5 day forecast wflow, SFINCS coastal Urban areas: wflow and SFINCS shareable results in usable formats DSD-SEA 2023 Operational flood inundation forecasting in Australia wflow – hydrology, 10 day forecast Access-G, observed rain and levels Observed + NWP (ACCESS-G)
  14. SFINCS URBS, ROMS, TC? Urban areas: wflow and SFINCS linked to Bureau products (ACCESS-G, observations), further integration possible DSD-SEA 2023 Operational flood inundation forecasting in Australia wflow Observed reservoir and lake levels Observed + NWP (ACCESS-G)
  15. • ArcGIS online (shapefiles) • Thredds / OpenDAP (gridded data in netcdf files, .shp) • Delft-FEWS API: WMS-T (image) and REST (time series) Dissemination shareable results in usable formats DSD-SEA 2023 Operational flood inundation forecasting in Australia
  16. X FliFS PoC in action Anecdotal ‘validation’ in my neighbourhood DSD-SEA 2023 Operational flood inundation forecasting in Australia Feb Water depth for the next 5 days, West End QLD (SFINCS)
  17. FliFS PoC in action Along the coast DSD-SEA 2023 Operational flood inundation forecasting in Australia Feb Water depth for the next 5 days, West End QLD (SFINCS)
  18. FliFS PoC in action Shapefiles from FliFS in ArcGIS Online DSD-SEA 2023 Operational flood inundation forecasting in Australia 3 March Flood Inundation, Logan Albert QLD (waterRIDE and SFINCS)
  19. FliFS PoC in action Shapefiles from FliFS in ArcGIS Online DSD-SEA 2023 Operational flood inundation forecasting in Australia 8 March Flood Inundation, Lismore (SFINCS)
  20. FliFS PoC in action Grids from FliFS in ArcGIS Online DSD-SEA 2023 Operational flood inundation forecasting in Australia 8 March Flood depth, Clarence River (SFINCS)
  21. FliFS PoC in action Shapefiles from FliFS in ArcGIS Online DSD-SEA 2023 Operational flood inundation forecasting in Australia 8 March Flood Inundation, Port Macquarie NSW (waterRIDE and SFINCS)
  22. FliFS PoC in action Shapefiles from FliFS in ArcGIS Online combined with exposure data DSD-SEA 2023 Operational flood inundation forecasting in Australia October Flood Inundation, Newcastle (SFINCS)
  23. FliFS PoC in action Shapefiles from FliFS in ArcGIS Online DSD-SEA 2023 Operational flood inundation forecasting in Australia 8 March Flood Inundation, Hawkesbury River (SFINCS)
  24. FliFS PoC in action Shapefiles from FliFS in ArcGIS Online DSD-SEA 2023 Operational flood inundation forecasting in Australia 8 March Flood Inundation, Georges River NSW (waterRIDE and SFINCS)
  25. FliFS PoC in action Shapefiles from FliFS in ArcGIS Online combined with exposure data DSD-SEA 2023 Operational flood inundation forecasting in Australia October Flood Inundation, Wagga Wagga NSW (waterRIDE)
  26. Initial Learnings from PoC as presented by ACS at the Delft-FEWS User Days • PoC has shown viability of extent and depth forecasts from multiple models (SFINCS/waterRIDE) particularly over large areas • Coverage − Applying to whole country is a massive job involving: − Model development/calibration − Working with states and territories to define the service • Usability − The outputs have been well used (experimental) − Shapefile (through WFS) is desirable output format of our customers, to enable integration and analysis with other key data sets − Population and business information − Roads and supply chain − Building information • An independent review of the system is about to start, which will provide feedback on options for future developments DSD-SEA 2023 Operational flood inundation forecasting in Australia Tuggerah Lake
  27. Current work Extension of PoC • Coverage − Inclusion of more waterRIDE model locations (16 in total) − Create (national) database with global and local data sets for SFINCS and wflow models • Usability − Create high resolution inundation shapefiles for AGOL (from SFINCS models) − Design and develop WFS (web features service) functionality • Accuracy − Improve set-up of waterRIDE models − Improve set-up of a wflow model by using local data − Improve set-up of a SFINCS model by using local data DSD-SEA 2023 Operational flood inundation forecasting in Australia
  28. info@deltares.nl @deltares linkedin.com/company/deltares www.deltares.nl @deltares facebook.com/deltaresNL Contact
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