Review of mathematical programming applications in water resource management under uncertainty

Thomas Archibald, Sarah E Marshall

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Economic development, variation in weather patterns and natural disasters focus attention on the management of water resources. This paper reviews the literature on the development of mathematical programming models for water resource management under uncertainty between 2010 and 2017. A systematic search of the academic literature identified 448 journal articles on water resource management for examination. Bibliometric analysis is employed to investigate the methods that researchers are currently using to address this problem and to identify recent trends in research in the area. The research reveals that stochastic dynamic programming and multistage stochastic programming are the methods most commonly applied. Water resource allocation, climate change, water quality and agricultural irrigation are amongst the most frequently discussed topics in the literature. A more detailed examination of the literature on each of these topics is included. The findings suggest that there is a need for mathematical programming models of large-scale water systems that deal with uncertainty and multi objectives in an elective and computationally ancient way.
Original languageEnglish
Pages (from-to)753-777
JournalEnvironmental Modeling and Assessment
Issue number6
Early online date3 Aug 2018
Publication statusPublished - Dec 2018

Keywords / Materials (for Non-textual outputs)

  • water resource management
  • mathematical programming
  • climate change
  • water quality
  • irrigation
  • water allocation


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