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Water 2015, 7(10), 5305-5344; doi:10.3390/w7105305

Optimizing Water Allocation under Uncertain System Conditions in Alfeios River Basin (Greece), Part A: Two-Stage Stochastic Programming Model with Deterministic Boundary Intervals

1
Chair of Hydrology and River Basin Management, Technische Universität München, Arcisstrasse 21, München 80333, Germany
2
Environmental Engineering Laboratory, Department of Civil Engineering, University of Patras, Patras 26504, Greece
*
Author to whom correspondence should be addressed.
Academic Editor: Miklas Scholz
Received: 10 May 2015 / Revised: 20 September 2015 / Accepted: 28 September 2015 / Published: 9 October 2015
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Abstract

The enactment of the Water Framework Directive, constituting the basis of the European water policy, introduced various challenges and complexities for water resources management. River basins are exposed to a plethora of environmental stresses, resulting in degradation of their quantitative and qualitative status. This led to the reduction of clean available water, increasing competition among water users and imposing the need for optimal water allocation for each river unit. In most countries (including those in the Mediterranean), water resources management is characterized by lack of effective operational strategies combined with the absence of permanent measuring systems and low financial means, hampering the implementation of efficient river monitoring. Therefore, water resources management is indicated by high uncertainty and by imprecise and limited data, which may be easily approximated through estimates of intervals. In the present work, optimal water allocation under uncertain system conditions is undertaken for the Alfeios River Basin (Greece) based on an inexact two-stage stochastic programming methodology developed by Huang and Loucks (2000). It combines ordinary two-stage stochastic programming with uncertainties expressed as deterministic boundary intervals. Stable intervals for optimized water allocation targets and probabilistic water allocation and shortages are estimated under a baseline scenario and four water and agricultural policy future scenarios. View Full-Text
Keywords: optimal water allocation; two-stage stochastic programming; intervals; uncertainty; stochastic hydrologic scenarios; future scenarios optimal water allocation; two-stage stochastic programming; intervals; uncertainty; stochastic hydrologic scenarios; future scenarios
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bekri, E.; Disse, M.; Yannopoulos, P. Optimizing Water Allocation under Uncertain System Conditions in Alfeios River Basin (Greece), Part A: Two-Stage Stochastic Programming Model with Deterministic Boundary Intervals. Water 2015, 7, 5305-5344.

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