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GloFAQ

Global Forecast Awareness Queries

Model,

Map,

Action!

#FLOODHACK

15-16/01/2016

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The Team

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  • Alessio Zampatti – Computer Engineer
  • Daniele Oxoli – Environmental Engineer
  • Beatriz Revilla-Romero – Hydrology
  • Panagiotis Gkounidis – Forestry and Natural Env. Dev.
  • Bharat Kunwar – Research Engineer
  • Leonore Boelee - Hydrology

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Our Challenge - Delivery

  • Finding new applications for end user.
    • Forecast information should be easy to interpret.
    • Which impacts will have the GLoFAS flood forecast on my area of interest?

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The Goal

  • Innovative ways to provide end users with key info on potential impacted infrastructures due to flooding
    • Losses could be humanitarian or monetary.

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Who is the end user

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The concept

  • Add external services to provide a static layer of vulnerable infrastructure – example transport routes or hospitals
  • Forecast discharge maps (51 ensembles and 30 days lead time).
  • Return period maps (5 year)
  • Exceedance maps for various lead times
  • Exact warnings for vulnerable infrastructure

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System Architecture

End users

Visualization Server

Processing Server

OpenStreetMap

WCS

API

Other external sources

Back End

Front End

Actual state

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How would this work?

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  • Translate hazard information from the exceedance maps to infrastructures at risk of flooding.
  • Advisable Action list, example:
    • Increase supplies of driver
    • Reroute driver
    • Evacuate sensible buildings
    • …

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The Case Study –

Congo

  • International companies would like to be informed about any flood risk on main routes and potentially reroute lorries if the risk of flooding is high.
  • Government does not share/produce any information on flooding.
  • GloFAS can be used to forecast flooding on route.

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The Case Study – Congo

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The Case Study – Congo

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The Case Study – Congo

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The Case Study – Congo

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The Case Study – Congo

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Ways forward

  • Graphical User Interface (GUI)
  • Dynamic query responses
  • Make queries compatible with other kind of geospatial data like:
    • Population density maps
    • Land cover maps
  • Easy tailor of different external layers and flood maps according to user needs
  • Reports automatisation
  • User feedback and community oriented platform