Changes in Water Resources Systems:
Methodologies to Maintain Water Security and Ensure Integrated Management
(Proceedings of Symposium HS3006 at IUGG2007, Perugia, July 2007). IAHS Publ. 315, 2007, 92-99.
Impacts
of the southeastern Anatolia Project in Turkey on the performance of the Tabqa
dam and hydropower plant in Syria
Quentin GOOR1,
Ali ALIA2, Pieter VAN DER ZAAG3 & Amaury TILMANT2
1 Dept of Environmental
Sciences and Land Use Planning, Université Catholique de Louvain, Croix du Sud
2 box 2, B-1348 Louvain-la-Neuve, Belgium
goor@geru.ucl.ac.be
2 Dept of Management and Institutions, UNESCO-IHE, Westvest 7 PO Box 3015, 2601 Delft, The Netherlands
3 Water Resources Section, Delft University of Technology, Delft, The Netherlands
Abstract Water resources systems development in the upper parts of a river
basin can have major impacts on downstream users. This paper analyses the
impacts of development of the southeastern Anatolia Project (Turkey), commonly
called GAP, on the Euphrates downstream riparian countries, Syria and Iraq, and
especially on the performance of the Tabqa dam in Syria. A two-stage modelling
approach has been adopted. First, the operating rules of the largest GAP
reservoirs are optimized and then simulated using a stochastic dual dynamic
programming (SDDP) model to get, among other results, time series of simulated
discharges at the borders with Syria and Iraq. This process is repeated for
three development scenarios of the GAP. In the second stage, the reservoir
operating policies of the Tabqa hydropower plant in Syria are derived from a
stochastic dynamic programming (SDP) model and then simulated over a planning
period of 50 years using the time series of inflows produced by SDDP for each
development scenario. The analysis of results reveals, amongst other things,
that if GAP is completed as planned, the risk of not meeting the annual Syrian
energy target increases substantially (up to 60%).
Key
words
Euphrates; large scale optimization; reservoir operation; Stochastic
Dual Dynamic Programming (SDDP); Stochastic Dynamic Programming (SDP);
upstream/downstream trade-off