We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Probabilistic Multiperiod Simulation–Optimization Approach for Dynamic Coastal Aquifer Management.
- Authors
Al-Maktoumi, Ali; Rajabi, Mohammad Mahdi; Zekri, Slim; Triki, Chefi
- Abstract
Combined simulation–optimization (CSO) schemes are common in the literature to solve different groundwater management problems, and CSO is particularly well-established in the coastal aquifer management literature. However, with a few exceptions, nearly all previous studies have employed the CSO approach to derive static groundwater management plans that remain unchanged during the entire management period, consequently overlooking the possible positive impacts of dynamic strategies. Dynamic strategies involve division of the planning time interval into several subintervals or periods, and adoption of revised decisions during each period based on the most recent knowledge of the groundwater system and its associated uncertainties. Problem structuring and computational challenges seem to be the main factors preventing the widespread implementation of dynamic strategies in groundwater applications. The objective of this study is to address these challenges by introducing a novel probabilistic Multiperiod CSO approach for dynamic groundwater management. This includes reformulation of the groundwater management problem so that it can be adapted to the multiperiod CSO approach, and subsequent employment of polynomial chaos expansion-based stochastic dynamic programming to obtain optimal dynamic strategies. The proposed approach is employed to provide sustainable solutions for a coastal aquifer storage and recovery facility in Oman, considering the effect of natural recharge uncertainty. It is revealed that the proposed dynamic approach results in an improved performance by taking advantage of system variations, allowing for increased groundwater abstraction, injection and hence monetary benefit compared to the commonly used static optimization approach.
- Subjects
OMAN; COASTAL zone management; AQUIFER storage recovery; SALTWATER encroachment; GROUNDWATER management; AQUIFERS; POLYNOMIAL chaos; STOCHASTIC programming
- Publication
Water Resources Management, 2021, Vol 35, Issue 11, p3447
- ISSN
0920-4741
- Publication type
Article
- DOI
10.1007/s11269-021-02828-0