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| Titel |
Trends in floods in West Africa: analysis based on 11 catchments in the region |
| VerfasserIn |
B. N. Nka, L. Oudin, H. Karambiri, J. E. Paturel, P. Ribstein |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 11 ; Nr. 19, no. 11 (2015-11-27), S.4707-4719 |
| Datensatznummer |
250120859
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| Publikation (Nr.) |
 copernicus.org/hess-19-4707-2015.pdf |
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| Zusammenfassung |
| After the drought of the 1970s in West Africa, the variability in rainfall
and land use changes mostly affected flow, and recently flooding has been
said to be an increasingly common occurrence throughout the whole of West
Africa. These changes have raised many questions about the impact of climate
change on the flood regimes in West African countries. This paper
investigates whether floods are becoming more frequent or more severe and to
what extent climate patterns have been responsible for these changes. We
analyzed the trends in the floods occurring in 11 catchments within West
Africa's main climate zones. The methodology includes two methods for
sampling flood events, namely the AM (annual maximum) method and the POT
(peak over threshold), and two perspectives of analysis are presented:
long-term analysis based on two long flood time series and a regional
perspective involving 11 catchments with shorter series. The Mann–Kendall
trend test and the Pettitt break test were used to detect nonstationarities
in the time series. The trends detected in flood time series were compared to
the rainfall index trends and vegetation indices using contingency tables in
order to identify the main driver of change in flood magnitude and flood
frequency. The relation between the flood index and the physiographic index
was evaluated through a success criterion and the Cramer criterion calculated
from the contingency tables.
The results show the existence of trends in flood magnitude and flood
frequency time series, with two main patterns. Sahelian floods show
increasing flood trends and one Sudanian. catchment presents decreasing flood
trends. For the overall catchments studied, trends in the maximum 5-day
consecutive rainfall index (R5d) show good coherence with trends in flood,
while the trends in normalized difference vegetation indices (NDVIs) do not
show a significant agreement with flood trends, meaning that this index has
possibly no impact on the behavior of floods in the region. |
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