<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">F. Z. Tebbi</style></author><author><style face="normal" font="default" size="100%">H. Dridi</style></author><author><style face="normal" font="default" size="100%">M. Kalla</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Performance analysis of a reservoir in arid region. Case study: Babar reservoir, Aurs region, Algeria</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Water and Land Development </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.itp.edu.pl/wydawnictwo/journal/index.php?id=39_2018_X_XII&amp;rr=1</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">39</style></volume><pages><style face="normal" font="default" size="100%">140-146</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Long term and mid-term reservoir operation involves derivation of rule curves for optimal management&lt;br&gt;of the available resource. The present work deals with reservoir operation in the Aurès arid&lt;br&gt;region. As an example, Babar reservoir is selected to apply the proposed approach which estimates all&lt;br&gt;the water balance terms, especially those which are random as water inflows. For each demand scenario&lt;br&gt;a reservoir operation optimization model using Explicit Stochastic Dynamic Programming (ESDP)&lt;br&gt;is performed, to derive optimal rule curves based on historical operating records (Jan 2002–Dec 2013)&lt;br&gt;and using “Reservoir” R package®. Subsequently, risk analysis is conducted for these different demand&lt;br&gt;scenarios rules by the RRV (reliability, resilience, vulnerability) metrics. Results show the advantage&lt;br&gt;of using the “Reservoir” R package for a rapid and an easy analysis of the performance criteria&lt;br&gt;jointly with the optimization algorithm to Re-operate Reservoir operation.</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">F. Z. Tebbi</style></author><author><style face="normal" font="default" size="100%">H. Dridi</style></author><author><style face="normal" font="default" size="100%">G.L.Morris</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimization of cumulative trapped sediment curve for an arid zone reservoir: Foum El Kherza (Biskra, Algeria)</style></title><secondary-title><style face="normal" font="default" size="100%">Hydrological Sciences Journal</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.tandfonline.com/doi/full/10.1080/02626667.2012.712740</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">57</style></volume><pages><style face="normal" font="default" size="100%">1355-1372</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Reservoir silting is one of the principal problems affecting the performance of dams in Algeria from the standpoint of reservoir capacity for storage. Foum El Kherza Reservoir (also known as Foum El Gherza), near Biskra Town, Algeria, is subject to dredging operations with the intent of recovering 70% of its initial storage capacity of 47 hm&lt;sup&gt;3&lt;/sup&gt; (million cubic metres). The forecasting of sediment volume trapped in the reservoir is essential to plan the future use of this resource and to sustain irrigation for the palm groves characteristic of the region. However, there are currently no sediment data, nor a sediment rating curve, for predicting sediment inflow based on hydrological data. This paper describes the optimization of a cumulative trapped sediment curve for Foum El Kherza Reservoir based on 44 years of daily inflows, by using a spreadsheet optimization tool, Microsoft Excel® Solver to calibrate the cumulative sediment load against the cumulative sediment inflow as documented by eight bathymetric surveys since the dam construction.</style></abstract><issue><style face="normal" font="default" size="100%">7</style></issue></record></records></xml>