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Hydrology 2017, 4(3), 36; doi:10.3390/hydrology4030036

Extreme Precipitation Indices Trend Assessment over the Upper Oueme River Valley-(Benin)

1
Chaire Internationale en Physique Mathématique et Applications (CIPMA), Université d’Abomey-Calavi (UAC), 072 BP 50 Cotonou, Benin
2
Laboratoire d’Hydrologie Appliquée (LHA), Institut National de l’Eau (INE), Université d’Abomey-Calavi (UAC), 01 BP 4521 Cotonou, Benin
*
Author to whom correspondence should be addressed.
Received: 20 May 2017 / Revised: 27 June 2017 / Accepted: 4 July 2017 / Published: 10 July 2017
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Abstract

This study analyzed trends in extreme precipitation based on daily rainfall data provided by Bénin Méteo Agency for the Upper Ouémé valley in Benin over the period 1951–2014. Eleven indices divided into two groups were considered. The first group consists of frequency indices: number of heavy rainfall days, very heavy rainfall days and extremely heavy rainfall days; and maximum number of Consecutive dry days and wet days. The second group concerns intensity: daily maximum rainfall (RX1day), maximum five-day rainfall (RX5day), annual total wet-day rainfall (PRCPTOT), simple daily intensity index (SDII), very wet day (R95P) and extremely wet day rainfall (R99P). The non-parametric Mann-Kendall test was used to assess trends in those indices. The results show that only 30% of the stations experienced decreasing trends for the number of heavy rainfall days (R10mm) and daily maximum rainfall (RX1day). For the annual total wet-day rainfall (PRCPTOT), the simple daily intensity index (SDII) and the very wet day rainfall (R95P), 20% of stations faced significant negative trends. In addition, the decreasing trends are observed for 10% stations considering the number of very heavy rainfall days (R20mm), the maximum five-day rainfall (RX5day) and the extremely wet day rainfall (R99P). About the increasing trend, 10% stations are identified for the number of consecutive dry days (CDD), very heavy rainfall days (R20mm), the daily maximum rainfall (RX1day), the simple daily intensity index, and the extremely wet day rainfall (R99P). These results show the absence of clear trend of climate indices evolution in almost all stations. Consequently, uncertainties in the evolution of rainfall indices must be taken into account in the definition of adaptation strategies for flood or drought risks. Similarly, these results show a slight drop in the dry sequences of the 1970s and 1980s revealed in the region by previous studies. View Full-Text
Keywords: rainfall; rainfall indices; frequency; intensity; upper Ouémé river valley; Benin rainfall; rainfall indices; frequency; intensity; upper Ouémé river valley; Benin
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

André Attogouinon, A.; Lawin, A.E.; M’Po, Y.N.; Houngue, R. Extreme Precipitation Indices Trend Assessment over the Upper Oueme River Valley-(Benin). Hydrology 2017, 4, 36.

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