Flood modelling

"Flood modelling generally involves developing algorithms useful to characterise flooding in terms of flood water depth and extent as well as flow velocity [17]. Since flood water is a form of wave phenomenon that propagates in a down-gradient direction with associated changes in flow rate and water level, these algorithms are often designed to solve the numerical expressions that govern the propagation of flood water from one point to another within a spatial domain." (Nkwunonwo et al., 2020)
 

Sources

Nkwunonwo, U., Whitworth, M., and Baily, B. "A review of the current status of flood modelling for urban flood risk management in the developing countries". Scientific African. 7, e00269, (2020). 10.1016/j.sciaf.2020.e00269.

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Capacity Building and Training Material

Digital Earth Africa: Water Resources

Digital Earth Africa learning platform

This learning platform helps users understand the significance of Earth observations, explore Digital Earth Africa datasets through an interactive map, and get started on the basics of python coding for spatial analysis.

Digital Earth Africa makes Earth observation (EO) data readily available, delivering decision-ready products to the African continent. Data generated by Digital Earth Africa will provide valuable insights for better decision-making across many areas, including resource management, food security and urbanisation.

Event

Person

Photo of Ioana Popescu

Ioana Popescu

Associate Professor of Hydroinformatics IHE Delft Institute for Water Education

Ioana Popescu is currently Associate Professor of Hydroinformatics at IHE Delft Institute for Water Education in Delft, The Netherlands. Her research focuses on computational methods, aspects of flood modeling and vulnerability related to floods, lake and reservoir modeling and water supply systems modeling and optimisation. She is particularly interested in integrating mathematical models into decision support systems. Data is key in model development, hence she explores all sources of data, from EO to in situ data and is for the FAIR data sharing.

Photo of Ioana Popescu

Ioana Popescu

Associate Professor of Hydroinformatics IHE Delft Institute for Water Education

Ioana Popescu is currently Associate Professor of Hydroinformatics at IHE Delft Institute for Water Education in Delft, The Netherlands. Her research focuses on computational methods, aspects of flood modeling and vulnerability related to floods, lake and reservoir modeling and water supply systems modeling and optimisation. She is particularly interested in integrating mathematical models into decision support systems. Data is key in model development, hence she explores all sources of data, from EO to in situ data and is for the FAIR data sharing.

Space-based Solution

Collaborating actors (stakeholders, professionals, young professionals or Indigenous voices)
Suggested solution

Assessment of the challenge

  • Need more data about the location of the community and their usage of water
  • Split the challenge into a “glacier” and a down-stream challenge
  • No up-to-date weather data available since 2011
  • Discharge and temperature, rainfall and snow data available
  • Digital elevation surface and terrain model available

Outline steps to a solution & status

  1. Inventory of the snow cover and watershed area (completed)
  2. Build a regression model to assess the relationship between snow melt, temperature and discharge (to do)
  3. Hec-ras for flood modelling (to do)
  4. Use climate change projections to predict future discharge and flood extents (to do)
  5. Downstream impact analysis of hydro-power and agriculture (to do)

Requirements

Software

Data

Physical

  • Weather station
  • Snow monitoring (snow depth sensor)
Relevant publications
Related space-based solutions
Keywords (for the solution)
Climate Zone (addressed by the solution)
Habitat (addressed by the solution)
Region/Country (the solution was designed for, if any)
Relevant SDGs