RES-EAU Scholars

RES-EAU > Scholars > Karim Traore

Affiliated project: International Institute for Water and Environmental Engineering 2IE

Affiliated CEA : Nazi BONI University

Thesis supervisor: Harouna KARAMBIRI
International Institute for Water and Environmental Engineering2IE
harouna.karambiri@2ie-edu.org

Thesis co-supervision: Mathieu OUÉDRAOGO, Nazi BONI University
m.ouedraogo@cgiar.org

RES-EAU > Scholars > Karim Traore

Start date: 01/01/2021

Project title : Flood vulnerability assessment and adaptation strategies: the case of the "Grand Ouaga" area in Burkina Faso.

Of all the studies that have addressed the issue of flooding in Burkina Faso, that of assessing the vulnerability of populations and the effectiveness of mitigation and management measures has not been sufficiently addressed. This is essential, however, in order to provide decision-makers and planners with the information they need to identify priority intervention zones and vulnerability factors for better management of current and future flood-risk areas. The study presented here, which is still in progress, aims to analyze vulnerability factors by combining quantitative and qualitative measurements of the exposure of issues to flooding and the response capacity of individuals or groups exposed to the risk of flooding. It is based on census data, field surveys and the use of geographic information systems.

Summary of results :

A mixed approach combining a field visit and group discussions with residents of 13 flood-prone sites shows that human factors are the predominant causes of flooding in Ouagadougou, compared to natural or climatic factors. Human factors such as poor city planning and development, poor drainage systems, poor solid waste management and non-enforcement of laws, rules and regulations governing building codes in the city were highlighted. The biophysical flood vulnerability map was drawn up using a logistic regression model and 14 flood conditioning factors. The socio-economic vulnerability map was obtained using the principal component analysis method with 19 socio-economic and politico-administrative factors. The overall vulnerability map was obtained by superimposing the biophysical vulnerability map and the socio-economic vulnerability map. The results show that sector 13 is the most vulnerable of the city's sectors.

Expected result / Overall objective :
The overall objective of this thesis is to contribute to the development of decision-support tools to better enlighten governors/decision-makers and planners on intervention priorities to effectively and efficiently cope with flood risks in urban areas.

Prospects for the end of the thesis:
I still have a data collection campaign to carry out this year in order to finalize the thesis.

Scientific publications :
Youme, O., Bayet, T., Dembele, J. M., & Cambier, C. (2021). Deep learning and remote sensing: spill waste detection using a drone. Procedia Computer Science, 185, 361-369. https://doi.org/10.1016/j.procs.2021.05.037
MITIC, SMIA UMMISCO, IRD

Djeki, E., Degila, J., Alhassan, M. H, & Bondiombouy, C. (2023). Analysis of critical factors influencing the security of e-learning platforms. Accepted in 2023 IEEE International Conference on Information Technology (ICIT). ACE SMIA - ACETEL

Djeki, E., Degila, J., Alhassan, M. H, & Bondiombouy, C. (2022). Pseudo Dynamic Password for Strengthening Authentication Mechanism. Under review in IEEE Transactions on Dependable and Secure Computing. ACE SMIA - ACETEL