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Stochastic Optimization for an Analytical Model of Saltwater Intrusion in Coastal Aquifers

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  • Paris N Stratis
  • George P Karatzas
  • Elena P Papadopoulou
  • Maria S Zakynthinaki
  • Yiannis G Saridakis

Abstract

The present study implements a stochastic optimization technique to optimally manage freshwater pumping from coastal aquifers. Our simulations utilize the well-known sharp interface model for saltwater intrusion in coastal aquifers together with its known analytical solution. The objective is to maximize the total volume of freshwater pumped by the wells from the aquifer while, at the same time, protecting the aquifer from saltwater intrusion. In the direction of dealing with this problem in real time, the ALOPEX stochastic optimization method is used, to optimize the pumping rates of the wells, coupled with a penalty-based strategy that keeps the saltwater front at a safe distance from the wells. Several numerical optimization results, that simulate a known real aquifer case, are presented. The results explore the computational performance of the chosen stochastic optimization method as well as its abilities to manage freshwater pumping in real aquifer environments.

Suggested Citation

  • Paris N Stratis & George P Karatzas & Elena P Papadopoulou & Maria S Zakynthinaki & Yiannis G Saridakis, 2016. "Stochastic Optimization for an Analytical Model of Saltwater Intrusion in Coastal Aquifers," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-28, September.
    • Handle: RePEc:plo:pone00:0162783
    DOI: 10.1371/journal.pone.0162783
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    Cited by:

    1. Nikolaos Nagkoulis & Konstantinos L. Katsifarakis, 2022. "Using Game Theory to Assign Groundwater Pumping Schedules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1571-1586, March.

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