Hassane Bassirou,
Madou Sougue,
Masamaéya D.-T. Gnazou,
Ibrah Seidou Sanda,
Ambe Emmanuel Cheo,
- Ph.D. Scholar West African Science Service Centre for Climate Change and Adapted Land Use (WASCAL), Graduate Research Program on Climate Change and Disaster Risk Management, University of Lomé, 01 BP 1515 Lomé 01, Togo
- Ph.D. Scholar West African Science Service Centre for Climate Change and Adapted Land Use (WASCAL), Graduate Research Program on Climate Change and Disaster Risk Management, University of Lomé, 01 BP 1515 Lomé 01, Togo
- Professor Department of Geology, Faculty of Sciences, University of Lomé, BP: 1515 Lomé, Togo
- Professor Regional Centre AGRHYMET/CILSS, 425 Boulevard de l’Université, Rive Droite, BP: 11011 Niamey, Niger
- Ph.D. Scholar Department of Environmental Vulnerability and Ecosystem Services Section, Institute of Environmental and Human Security, United Nations University, Platz der Vereinten Nationen 1, 53113 Bonn, Germany
Abstract
Floods are among the most severe natural disasters, capable of causing significant damage to both the
environment and society. This research utilizes the Gumbel distribution to analyze flood return levels
by examining historical data from Niamey, Niger. The study focuses on river heights, flow rates, and
precipitation patterns to understand the dynamics of flooding in the region. By analyzing these
parameters, the research aims to identify severe weather trends and make predictions about future flood
levels. These insights are intended to aid in disaster preparedness and the efficient management of
water resources. The findings underscore the increasing frequency and severity of floods, highlighting
the urgent need for enhanced infrastructure, improved data collection methods, and heightened
community awareness to mitigate the adverse impacts of flooding. The project emphasizes that
proactive measures are essential for minimizing the risks associated with floods. By addressing these
challenges, the research hopes to contribute to the development of strategies that will better protect
communities and ecosystems from the devastating effects of flooding. This comprehensive approach to
flood analysis and management is crucial for building resilience against future flood events in Niamey
and similar vulnerable regions.
Keywords: Flood risk, Gumbel distribution, Standardized Precipitation Index, SPI, Niamey-Niger, flood water level
[This article belongs to Journal of Water Resource Engineering and Management(jowrem)]
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Journal of Water Resource Engineering and Management
| Volume | 11 |
| Issue | 02 |
| Received | July 12, 2024 |
| Accepted | July 24, 2024 |
| Published | July 26, 2024 |