Reference : Stochastic modelling of reservoir sedimentation in a semi-arid watershed
Scientific journals : Article
Engineering, computing & technology : Civil engineering
http://hdl.handle.net/2268/142572
Stochastic modelling of reservoir sedimentation in a semi-arid watershed
English
[fr] Modélisation stochastique de la sédimentation d'un réservoir dans un bassin versant semi-aride
Adam, Nicolas []
Erpicum, Sébastien mailto [Université de Liège - ULiège > Services généraux (Faculté des sciences appliquées) > Scientifiques attachés au Doyen (Sc.appliquées) >]
Archambeau, Pierre mailto [Université de Liège - ULiège > Département ArGEnCo > HECE (Hydraulics in Environnemental and Civil Engineering) >]
Pirotton, Michel mailto [Université de Liège - ULiège > Département ArGEnCo > HECE (Hydraulics in Environnemental and Civil Engineering) >]
Dewals, Benjamin mailto [Université de Liège - ULiège > Département ArGEnCo > Hydraulics in Environmental and Civil Engineering >]
Feb-2015
Water Resources Management
Springer Science & Business Media B.V.
29
3
785-800
Yes (verified by ORBi)
International
0920-4741
[en] Reservoir sedimentation ; Stochastic modelling ; Hydrological modelling ; Flood frequency ; Climate change ; Sustainable sediment management
[fr] Sédimentation dans les réservoirs ; Changement climatique ; Modélisation stochastique
[en] Sedimentation in large reservoirs is a major concern in semi-arid regions characterized by severe seasonal water scarcity. As a contribution to improved sediment management, this study analyses the real case of the reservoir of Sidi Yacoub in the north of Algeria. First, a dynamic model of the reservoir was set up and used to estimate past water and sediment inflows (period 1990-2010) based on data recorded by the dam operator and measurements at a gauging station located downstream of the reservoir. Second, in a stochastic framework using the statistical characteristics of inflow and outflow discharges, a projection of future sedimentation was performed until 2030, assuming stationarity of the statistical distributions. Third, the model was used to investigate the influence of possible climate change and to quantify the positive effects of soil conservation measures upstream.
Aquapôle - AQUAPOLE
Researchers
http://hdl.handle.net/2268/142572
10.1007/s11269-014-0843-4
http://link.springer.com/article/10.1007/s11269-014-0843-4
The final publication is available at Springer via http://link.springer.com/article/10.1007/s11269-014-0843-4

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