Evaluation of an early flood warning system in Bamako (Mali): Lessons learned from the flood of May 2019

Abstract Devastating floods have plagued many West African cities in the past decades. In an attempt to reduce flood damage in Bamako (Mali), an early warning system (EWS) demonstrator (Raincell App) was developed for flash floods. On 16 May 2019, while the demonstrator was partially operational, an...

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Main Authors: Nanée Chahinian, Matias Alcoba, Ndji dit Jacques Dembélé, Fréderic Cazenave, Christophe Bouvier
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Journal of Flood Risk Management
Subjects:
Online Access:https://doi.org/10.1111/jfr3.12878
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author Nanée Chahinian
Matias Alcoba
Ndji dit Jacques Dembélé
Fréderic Cazenave
Christophe Bouvier
author_facet Nanée Chahinian
Matias Alcoba
Ndji dit Jacques Dembélé
Fréderic Cazenave
Christophe Bouvier
author_sort Nanée Chahinian
collection DOAJ
description Abstract Devastating floods have plagued many West African cities in the past decades. In an attempt to reduce flood damage in Bamako (Mali), an early warning system (EWS) demonstrator (Raincell App) was developed for flash floods. On 16 May 2019, while the demonstrator was partially operational, an intense rainfall event led to devastating floods. We carried out an experience feedback on this flood event by comparing EWS simulations to the results of a field survey. Given the synoptic situation and the rapid development pattern of the storm, none of the global forecasting systems were able to foresee its occurrence and magnitude. The hydrological model developed as part of the demonstrator correctly identified most of the locations where overbank flow occurred. In the absence of data, the predicted discharge and volume values could not be validated. However, they are realistic based on the water levels reported in the Post‐Disaster Needs Assessment report. It would be advisable to couple it to a two‐dimensional hydraulic model and add discharge and water level monitoring to the already existing rainfall surveillance scheme to further improve the system's performance. Increasing the local population's awareness of the dangers of clogged waterways is also mandatory.
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spelling doaj.art-02f25bb203df47909c971f2e505f26fe2023-08-30T10:00:52ZengWileyJournal of Flood Risk Management1753-318X2023-09-01163n/an/a10.1111/jfr3.12878Evaluation of an early flood warning system in Bamako (Mali): Lessons learned from the flood of May 2019Nanée Chahinian0Matias Alcoba1Ndji dit Jacques Dembélé2Fréderic Cazenave3Christophe Bouvier4HSM (Univ Montpellier, CNRS, IRD) Montpellier FranceIGE (Univ. Grenoble Alpes, Grenoble INP, CNRS, IRD) Grenoble FranceUniversité des Sciences Sociales et de Gestion de Bamako Bamako MaliIGE (Univ. Grenoble Alpes, Grenoble INP, CNRS, IRD) Grenoble FranceHSM (Univ Montpellier, CNRS, IRD) Montpellier FranceAbstract Devastating floods have plagued many West African cities in the past decades. In an attempt to reduce flood damage in Bamako (Mali), an early warning system (EWS) demonstrator (Raincell App) was developed for flash floods. On 16 May 2019, while the demonstrator was partially operational, an intense rainfall event led to devastating floods. We carried out an experience feedback on this flood event by comparing EWS simulations to the results of a field survey. Given the synoptic situation and the rapid development pattern of the storm, none of the global forecasting systems were able to foresee its occurrence and magnitude. The hydrological model developed as part of the demonstrator correctly identified most of the locations where overbank flow occurred. In the absence of data, the predicted discharge and volume values could not be validated. However, they are realistic based on the water levels reported in the Post‐Disaster Needs Assessment report. It would be advisable to couple it to a two‐dimensional hydraulic model and add discharge and water level monitoring to the already existing rainfall surveillance scheme to further improve the system's performance. Increasing the local population's awareness of the dangers of clogged waterways is also mandatory.https://doi.org/10.1111/jfr3.12878early warning systemsexperience feedback (EF)flash floodforecasting and warninghydrological modellingpluvial flooding
spellingShingle Nanée Chahinian
Matias Alcoba
Ndji dit Jacques Dembélé
Fréderic Cazenave
Christophe Bouvier
Evaluation of an early flood warning system in Bamako (Mali): Lessons learned from the flood of May 2019
Journal of Flood Risk Management
early warning systems
experience feedback (EF)
flash flood
forecasting and warning
hydrological modelling
pluvial flooding
title Evaluation of an early flood warning system in Bamako (Mali): Lessons learned from the flood of May 2019
title_full Evaluation of an early flood warning system in Bamako (Mali): Lessons learned from the flood of May 2019
title_fullStr Evaluation of an early flood warning system in Bamako (Mali): Lessons learned from the flood of May 2019
title_full_unstemmed Evaluation of an early flood warning system in Bamako (Mali): Lessons learned from the flood of May 2019
title_short Evaluation of an early flood warning system in Bamako (Mali): Lessons learned from the flood of May 2019
title_sort evaluation of an early flood warning system in bamako mali lessons learned from the flood of may 2019
topic early warning systems
experience feedback (EF)
flash flood
forecasting and warning
hydrological modelling
pluvial flooding
url https://doi.org/10.1111/jfr3.12878
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