Articles | Volume 370
https://doi.org/10.5194/piahs-370-117-2015
https://doi.org/10.5194/piahs-370-117-2015
11 Jun 2015
 | 11 Jun 2015

Analysis of hydrological changes and flood increase in Niamey based on the PERSIANN-CDR satellite rainfall estimate and hydrological simulations over the 1983–2013 period

C. Casse and M. Gosset

Abstract. A dramatic increase in the frequency and intensity of floods due to the Niger River in the city of Niamey (Niger) has been observed in the last decade. Previous studies highlighted the role of the land use changes on the flood increase since 1970s. In the last decade, observations have raised the issue of a possible increase in extreme rainfall in the Sahel, which may have caused the recent and extreme floods in Niamey in 2010, 2012 and 2013. The study focuses on the 125 000 km2 basin between Ansongo and Niamey. This is the drainage area of the monsoon rainfall that leads to the rapid flow rise occurring between June and October. To understand the possible role of rainfall in flood intensification, satellite rainfall estimate is attractive in a region where the operational gauge network is sparse. This paper analyses the evolution of the Niger hydrograph in Niamey based on discharge observations, hydrological modelling and the satellite product PERSIANN-CDR, over the 1983–2013 period. PERSIANN-CDR is first compared with four other rainfall products. The salient features of the observed changes, i.e. a marked change in the mean decadal hydrograph, is well mimicked by the simulations, implying that rainfall is the first driver to the observed changes. The increase of flooded years over the period is also well reproduced but with some uncertainties in the exact number of flood days per year.

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Short summary
A dramatic increase in the frequency and intensity of floods due to the Niger River has been observed in the last decade in Niamey. This paper analyses how changes in rainfall may explain this flood intensification, based on a 30 year long series of satellite rainfall and a hydrological model. We show that the salient changes in the mean decadal hydrograph between 1983 and 2013 are well mimicked by the simulations. This implyes that rainfall is the first driver to the observed changes.