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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

机译:基于Persiann-CDR卫星降雨估计和水文模拟的基于Persiann-CDR卫星估计和水文模拟的水文变化分析及1983 - 2013年期间

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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 km~2 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.
机译:在过去的十年中,由于尼亚美(尼日尔)市尼日尔河(尼日尔)洪水频率和强度的巨大增加。以前的研究强调了自20世纪70年代自20世纪70年代以来洪水增加的作用。在过去的十年中,观察结果提出了萨赫勒在萨赫尔极端降雨可能增加的问题,这可能导致尼亚美的最近和极端的洪水在2010年,2012年和2013年。该研究重点介绍125 000公里〜2个盆地在ansongo和尼阿蒙之间。这是季风降雨的排水区,导致6月至10月之间发生的快速流动。要了解降雨在洪水强化中的可能作用,卫星降雨估计在操作规格网络稀疏的区域中是有吸引力的。本文在1983年至2013年期间,分析了基于排放观测,水文建模和卫星产品股东CDR的尼亚美尼亚州的演变。 Persiann-CDR首先与其他四种降雨产品进行比较。观察到的变化的突出特征,即平均Decadal水文的显着变化,仿真暗示,暗示降雨是对观察到的变化的第一个驱动程序。在此期间的洪水较大的增加也在很好地复制,但在每年确切的洪水日内有一些不确定性。

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