Large-Scale GIS-Based Urban Flood Modelling: A Case Study on the City of Ouagadougou

Bouvier, Christophe; Chahinian, Nanée; Adamovic, Marko; Cassé, Claire; Crespy, Anne; Cres, Agnès; Alcoba, Matias

doi:10.1007/978-981-10-7218-5_50

Cited by 9 publications

(16 citation statements)

References 16 publications

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“…The rainfall‐runoff model is part of the ATHYS (ATelier de Modélisation Hydrologique Spatialisée, http://www.athys-soft.org/) modelling platform (Bouvier et al, 2018; Bouvier & Delclaux, 1996; Lhomme et al, 2004).…”

Section: Methodsmentioning

confidence: 99%

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

Chahinian

Alcoba

Dembélé

et al. 2023

J Flood Risk Management

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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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Section: Methodsmentioning

confidence: 99%

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

Chahinian

Alcoba

Dembélé

et al. 2023

J Flood Risk Management

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“…The hydrological model selected for use in this study is the ATHYS modelling platform ( www.athys-soft.org ) . The model was selected as it has proven urban application in the location of interest (Bouvier 1990 ; Bouvier et al 2018 ; Turko et al 2021 ) and importantly for project objectives is an open source platform with existing local experience in Ouagadougou. The model was applied over the spatial domain illustrated in Fig.…”

Section: Methodsmentioning

confidence: 99%

A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa

et al. 2022

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Intensification of the hydrological cycle resulting from climate change in West Africa poses significant risks for the region’s rapidly urbanising cities, but limited research on flood risk has been undertaken at the urban domain scale. Furthermore, conventional climate models are unable to realistically represent the type of intense storms which dominate the West African monsoon. This paper presents a decision-first framing of climate research in co-production of a climate-hydrology-flooding modelling chain, linking scientists working on state-of-the-art regional climate science with decision-makers involved in city planning for future urban flood management in the city of Ouagadougou, Burkina Faso. The realistic convection-permitting model over Africa (CP4A) is applied at the urban scale for the first time and data suggest significant intensification of high-impact weather events and demonstrate the importance of considering the spatio-temporal scales in CP4A. Hydrological modelling and hydraulic modelling indicate increases in peak flows and flood extents in Ouagadougou in response to climate change which will be further exacerbated by future urbanisation. Advances in decision-makers’ capability for using climate information within Ouagadougou were observed, and key recommendations applicable to other regional urban areas are made. This study provides proof of concept that a decision-first modelling-chain provides a methodology for co-producing climate information that can, to some extent, bridge the usability gap between what scientists think is useful and what decision-makers need.

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“…v=QM9GHchJIf4&feature=youtu.be, last access: 12 August 2020). Pilot experiments have been set up in several African cities: Ouagadougou (Burkina-Faso; Doumounia et al, 2014), Bamako (Mali), Niamey (Niger) and Yaounde and Douala in Cameroun.…”

Section: Rainfall Measurement From Commercial Microwave Links (Cml) Pmentioning

confidence: 99%

“…Building on previous studies, the considered uncertainties relate to: the accuracy of attenuation and rainfall estimation for each link ; the network configuration (density; length; frequency). The city of Ouagadougou where the first Raincell pilot started (Doumounia et al, 2014) is taken as an example. A simulator of a network of links was created based on radar rainfall fields used as a reality proxy.…”

Section: A Simulation Framework To Analyse the Propagation Of CML Raimentioning

confidence: 99%

Rainfall measurement from mobile telecommunication network and potential benefit for urban hydrology in Africa: a simulation framework for uncertainty propagation analysis

et al. 2020

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Abstract. Urban floods due to intense precipitation is a major problem in many developing countries, especially in Africa. There are few available solutions for effective and yet affordable flood early warning systems for these regions. Weather radar is common in industrialized countries but too costly for most tropical cities. Satellite provides interesting information in real time but not yet quantitative enough at the space and time scales needed for urban flood monitoring. Rainfall measurement using commercial microwave links (CML) from cellular communication networks is a cost effective alternative to conventional methods. The method is based on measuring rain induced fluctuations between telecommunication antennas; if the operator provides this information rain maps can be produced and used for hydrological prediction. Many CML studies have been carried out in Europe and Israel. Recently IRD implemented pilot sites in Africa in order to test this rainfall estimation technique and quantify the uncertainties. After reviewing the method principles and providing an overview of the current research on CML, we present a simulation framework to analyse the propagation of CML rainfall uncertainties in an urban hydrological model.

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Large-Scale GIS-Based Urban Flood Modelling: A Case Study on the City of Ouagadougou

Abstract: African cities are prone to recurrent flooding due to unfavorable rainfall conditions, often insufficient drainage infrastructure and fast and poorly controlled urban development. It is thus important to put forward efficient tools to

Cited by 9 publications

References 16 publications

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

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

A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa

Rainfall measurement from mobile telecommunication network and potential benefit for urban hydrology in Africa: a simulation framework for uncertainty propagation analysis

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