Preliminary Results on the Estimation of Ground Water in Africa Using GRACE and Hydrological Models

International Symposium on Gravity, Geoid and Height Systems 2016 - International Association of Geodesy Symposia ◽

10.1007/1345_2018_32 ◽

2018 ◽

pp. 217-226

Author(s):

Hussein A. Abd-Elmotaal ◽

Atef Makhloof ◽

Ayman A. Hassan ◽

Hussein Mohasseb

Keyword(s):

Ground Water ◽

Hydrological Models ◽

Preliminary Results

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Climate change impact on water resource extremes in a headwater region of the Tarim basin in China

Hydrology and Earth System Sciences ◽

10.5194/hess-15-3511-2011 ◽

2011 ◽

Vol 15 (11) ◽

pp. 3511-3527 ◽

Cited By ~ 39

Author(s):

T. Liu ◽

P. Willems ◽

X. L. Pan ◽

An. M. Bao ◽

X. Chen ◽

...

Keyword(s):

Climate Change ◽

Water Resources ◽

Ground Water ◽

Climate Change Impact ◽

Snow Accumulation ◽

Tarim River Basin ◽

Hydrological Models ◽

Snow Melting ◽

Change Impact ◽

Ipcc Sres

Abstract. The Tarim river basin in China is a huge inland arid basin, which is expected to be highly vulnerable to climatic changes, given that most water resources originate from the upper mountainous headwater regions. This paper focuses on one of these headwaters: the Kaidu river subbasin. The climate change impact on the surface and ground water resources of that basin and more specifically on the hydrological extremes were studied by using both lumped and spatially distributed hydrological models, after simulation of the IPCC SRES greenhouse gas scenarios till the 2050s. The models include processes of snow and glacier melting. The climate change signals were extracted from the grid-based results of general circulation models (GCMs) and applied on the station-based, observed historical data using a perturbation approach. For precipitation, the time series perturbation involves both a wet-day frequency perturbation and a quantile perturbation to the wet-day rainfall intensities. For temperature and potential evapotranspiration, the climate change signals only involve quantile based changes. The perturbed series were input into the hydrological models and the impacts on the surface and ground water resources studied. The range of impact results (after considering 36 GCM runs) were summarized in high, mean, and low results. It was found that due to increasing precipitation in winter, snow accumulation increases in the upper mountainous areas. Due to temperature rise, snow melting rates increase and the snow melting periods are pushed forward in time. Although the qualitive impact results are highly consistent among the different GCM runs considered, the precise quantitative impact results varied significantly depending on the GCM run and the hydrological model.

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