Adaptive Reservoir Management by Reforming the Zone-based Hedging Rules against Multi-year Droughts

Gi Joo Kim, Seung Beom Seo, Young Oh Kim

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In this study, the zone-based hedging rule, which is the main operating policy adopted from multipurpose reservoirs in Korea is adjusted to reflect the multi-year droughts caused by climate change. Annual synthetic inflow series with different magnitudes of long memory were generated using the autoregressive fractional integrated moving average (ARFIMA) model. The generated inflow series were then disaggregated into 10-day series and utilized as input variables to derive the alternative hedging rules. The alternative hedging rules from this study were used in adaptive reservoir management by newly updated information. Finally, the performance of the suggested policy is measured in terms of frequency and magnitude under the historical inflow series. As a result, adaptive reservoir management demonstrated improvements in the following terms of the frequency of critical failures (water deficit ratio greater than 30%): 6.14% of the simulation period in the status quo (SQ) policy, and 2.99% in the adaptive management. However, the overall reliability of the reservoir during the simulation horizon was better when operated with the SQ policy (41.19%) than the results from adaptive management (26.42%). Because this result is in a good agreement with the original objective of the hedging rules, the adaptive policy suggested in this study holds promise and may be utilized in further reservoir management with an increase of potential drought risk from climate change.

Original languageEnglish
Pages (from-to)3575-3590
Number of pages16
JournalWater Resources Management
Volume36
Issue number10
DOIs
StatePublished - Aug 2022

Keywords

  • Adaptive reservoir management
  • Autoregressive fractional integrated moving average model
  • Climate change
  • Multi-year drought
  • Zone-based hedging rule

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