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Transnational projects in the
field of forecasting and warning
of floods within transboundary
river basins in Africa
Delft 8th of November
Nicole Jungermann and Mattijn van Hoek
What we will talk about
• Who we are
• The ECOWAS early warning ambition
• Early warning platforms in the ECOWAS region
• The challenge of region-wide early warning
• Combining information into one platform
HKV, consultancy and research in
water management and flood risk
• Independent consultancy firm, founded in 1995
• 70 employees
• Based in the Netherlands, offices in Delft and Lelystad
• Specialized in:
– Risk and Disaster Management
– Rivers, Coasts and Deltas
– Water and Climate
– Products and Services
• 10% of budget spent on research & development,
PhD’s, internships and graduation projects
• Clients: Governments, International Finance
Institutions, European Commission, Private companies
• We support the ten principles of the United Nations
Global Compact
Countries active (in the past)
The project
ECOWAS
The ECOWAS Early Warning ambition
Early Warning Systems in the ECOWAS region
• Several systems are already existing in the
region
• Different aggregations levels (basin, sub basin,
region, district)
• Different (financial) backgrounds:
– World Bank
– UNDP
– Red Cross
– H2020 initiatives
– African Development Bank
– ???
White Volta
Oti
Niger basin
The challenge of region-wide early warning
• Production of redundant information
• Inconsistency / contradiction
• Use of existing information
• Uniformity of warning levels
• Accessibility of (satellite) data (internet!?)
• Aggregation to administrative levels (national,
region, etc.)
How to solve this
challenge?
EWS-Oti EWS-Volta SATH-NBA .. ..
timeSeriesExportRun
timeSeriesImportRun
EWS-ECOWAS
A possible
technical solutions
EWS-Oti EWS-Volta SATH-NBA .. ..
FEWS PI GET timeseries
(SOAP / REST)
timeSeriesImportRun
EWS-ECOWAS
Or another?
EWS-Oti EWS-Volta SATH-NBA .. ..
FEWS PI POST timeseries
(SOAP / REST)
EWS-ECOWAS
FEWS PI GET
timeseries
(SOAP / REST)
How safe is
your FEWS
PI
webservice?
Yet, another option…
Example of the web platform
Artificial Intelligence in the Water Sector
https://ai.hkvservices.nl/european-catchments/
Open source packages published by HKV Consultants
https://hkv-products-services.github.io/
- HKVSOBEKPy
- HKVFEWSPy
- HKVWAPORPy
- FEWS Snow Modules
- FEWS SPEI Modules
- FEWS Muskingum Module
Thank you for your
attention.
N.Jungermann@hkv.nl
M.vanHoek@hkv.nl

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DSD-INT 2018 Transnational projects for forecasting and flood warning w transboundary river basins in Africa - Jungermann

  • 1. Transnational projects in the field of forecasting and warning of floods within transboundary river basins in Africa Delft 8th of November Nicole Jungermann and Mattijn van Hoek
  • 2. What we will talk about • Who we are • The ECOWAS early warning ambition • Early warning platforms in the ECOWAS region • The challenge of region-wide early warning • Combining information into one platform
  • 3. HKV, consultancy and research in water management and flood risk • Independent consultancy firm, founded in 1995 • 70 employees • Based in the Netherlands, offices in Delft and Lelystad • Specialized in: – Risk and Disaster Management – Rivers, Coasts and Deltas – Water and Climate – Products and Services • 10% of budget spent on research & development, PhD’s, internships and graduation projects • Clients: Governments, International Finance Institutions, European Commission, Private companies • We support the ten principles of the United Nations Global Compact
  • 7. The ECOWAS Early Warning ambition
  • 8. Early Warning Systems in the ECOWAS region • Several systems are already existing in the region • Different aggregations levels (basin, sub basin, region, district) • Different (financial) backgrounds: – World Bank – UNDP – Red Cross – H2020 initiatives – African Development Bank – ???
  • 10. Oti
  • 12. The challenge of region-wide early warning • Production of redundant information • Inconsistency / contradiction • Use of existing information • Uniformity of warning levels • Accessibility of (satellite) data (internet!?) • Aggregation to administrative levels (national, region, etc.)
  • 13. How to solve this challenge?
  • 14. EWS-Oti EWS-Volta SATH-NBA .. .. timeSeriesExportRun timeSeriesImportRun EWS-ECOWAS A possible technical solutions
  • 15. EWS-Oti EWS-Volta SATH-NBA .. .. FEWS PI GET timeseries (SOAP / REST) timeSeriesImportRun EWS-ECOWAS Or another?
  • 16. EWS-Oti EWS-Volta SATH-NBA .. .. FEWS PI POST timeseries (SOAP / REST) EWS-ECOWAS FEWS PI GET timeseries (SOAP / REST) How safe is your FEWS PI webservice? Yet, another option…
  • 17. Example of the web platform
  • 18. Artificial Intelligence in the Water Sector https://ai.hkvservices.nl/european-catchments/ Open source packages published by HKV Consultants https://hkv-products-services.github.io/ - HKVSOBEKPy - HKVFEWSPy - HKVWAPORPy - FEWS Snow Modules - FEWS SPEI Modules - FEWS Muskingum Module
  • 19. Thank you for your attention. N.Jungermann@hkv.nl M.vanHoek@hkv.nl