Journal of Water Resource Engineering and Management Original Research
Analyzing Flood Return Levels Using the Gumbel Distribution in Niamey, Niger
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
References (51)
- Adawiyah CW, Abdullah L. FSAW for REIT selection in multi-criteria decision making. In: AIP
- Conf Proc. 2014; 1605 (February): 1098–1104. Doi: 10.1063 1.4887744. Melaka, Malaysia: AIP.
- Aich V. Floods in the Niger River Basin in the face of global change: analysis, attribution and
- pro ections. 2015 [dissertation]. Potsdam, Germany: University of Potsdam; 2015. [Online]
- Available at https: publishup.uni-potsdam.de frontdoor index index docId 9157
- Bassirou H, Gnazou MD, Ibrah SS, Cheo AE. Mapping flood risk using Sentinel-1 data: A case
- study of Niamey, Niger. Int J Environ Stud. 2022; 8 (2): 14–26.
- Massazza G, Tarchiani V, Andersson JCM, Ali A, Ibrahim MH, Pezzoli A, et al. Downscaling
- regional hydrological forecast for operational use in local early warning: H PE models in the Sirba
- River. Int J Dis Risk Red. 2020; 6 (3).
- Tarchiani V, Fiorillo E, Lawan KG, Tiepolo M. Les inondations au Niger 1998-2020. Int J Environ
- Stud. 2021. Doi: 10.13140 RG.2.2.33927.52645.
- Tiepolo M, Braccio S, Fiorillo E, Galligari A, Lawan G, Massazza G, et al. Participatory risk
- assessment of pluvial floods in four towns of Niger. Int J Dis Risk Red. 2022; 84 (November):
- 103454. Doi: 10.1016 .i drr.2022.103454.
- Bassirou H, Gnazou MD, Sanda IS, Cheo AE, Sougué M, Ibrahim P. Extreme rainfall and
- streamflow in Niamey City: Trends and relationship between higher streamflow and rainfall. Int J
- Environ Stud. 2023; 9 (1): 21–32.
- Descroix L, Mahé G, Lebel T, Favreau G, Galle S, Gautier E, et al. Spatio-temporal variability of
- hydrological regimes around the boundaries between Sahelian and Sudanian areas of West Africa:
- A synthesis. J Hydrol. 2009; 375 (1–2): 90–102. Doi: 10.1016 . hydrol.2008.12.012.
- Wilcox C, Vischel T, Panthou G, Bodian A, Blanchet J, Descroix L, et al. Trends in hydrological
- extremes in the Senegal and Niger Rivers. J Hydrol. 2018; 566 (July): 531–545. Doi:
- 1016 . hydrol.2018.07.063.
- Field CB, Barros VR, Mach K, Mastrandrea MD, van Aalst M, Adger WN, et al. IPCC 2014
- impacts—technical summary. In: Climate Change 2014: impacts, adaptation, and vulnerability. Part
- A: global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report
- of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press;
- 2014. 1–29 p.
- Fiorillo E, Crisci A, Issa H, Maracchi G, Morabito M, Tarchiani V. Recent changes of floods and
- related impacts in Niger based on the ANADIA Niger flood database. Climate. 2018; 6 (3): 1–13.
- Doi: 10.3390 cli6030059.
- Garba I, Abdourahamane ZS. Extreme rainfall characterisation under climate change and rapid
- population growth in the city of Niamey, Niger. Heliyon. 2023; 9 (2) . Doi:
- 1016 .heliyon.2023.e13326.
- Massazza G, Tarchiani V, Ibrahim MH, Terenziani A. SLAPIS: Evaluation année hydrologique
- 2020 et améliorations 2021. Int J Environ Stud. 2021; April. Doi: 10.13140 RG.2.2.35054.95041.
- OCHA. (2020). Niger flooding causes over 36,000 houses to collapse. [Online] Available at
- https: reliefweb.int report niger niger-flooding-causes-over-36000-houses-collapse
- Pörtner H, Roberts D, Tignor M, Poloczanska E, Mintenbeck K, Alegría A, et al. Climate change
- 2022: Impacts, adaptation and vulnerability working group II contribution to the IPCC sixth
- assessment report. Cambridge, England, UK: Cambridge University Press; 2022. Doi:
- 1017 9781009325844.
- Sighomnou D, Descroix L, Genthon P, Mahé G, Moussa IB, Gautier E, et al. La crue de 2012 à
- Niamey: Un paroxysme du paradoxe du Sahel? [The Niger River Niamey flood of 2012: the
- paroxysm of the Sahelian paradox?]. Secheresse. 2013; 24 (1): 3–13. Doi: 10.1684 sec.2013.0370.
- Tiepolo M, Braccio S. Flood risk preliminary mapping in Niamey, Niger. In: Planning to cope with
- tropical and subtropical climate change. Berlin, Germany: De Gruyter; 2016. 201–220 p. Doi:
- 1515 9783110480795-013.
- UNISDR. (2009). UNISDR terminology on disaster risk reduction. [Online] Available at
- https: www.undrr.org publication 2009-unisdr-terminology-disaster-risk-reduction