A dynamic programming model for optimal planning of aquifer storage and recovery facility operations |
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Authors: | V Uddameri |
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Institution: | (1) MSC 213 Department of Environmental Engineering, Texas A&M University-Kingsville, Kingsville, TX 78363, USA |
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Abstract: | Aquifer storage recovery (ASR) is an innovative technology with the potential to augment dwindling water resources in regions
experiencing rapid growth and development. Planning and design of ASR systems requires quantifying how much water should be
stored and appropriate times for storage and withdrawals within a planning period. A monthly scale planning model has been
developed in this study to derive optimal (least cost) long-term policies for operating ASR systems and is solved using a
recursive deterministic dynamic programming approach. The outputs of the model include annual costs of operation, the amount
of water to be imported each month as well as the schedule for storage and extraction. A case study modeled after a proposed
ASR system for Mustang Island and Padre Island service areas of the city of Corpus Christi is used to illustrate the utility
of the developed model. The results indicate that for the assumed baseline demands, the ASR system is to be kept operational
for a period of 4 months starting from May through August. Model sensitivity analysis indicated that increased seasonal shortages
can be met using ASR with little additional costs. For the assumed cost structure, a 16% shortage increased the costs by 1.6%.
However, the operation time of ASR increased from 4 to 8 months. The developed dynamic programming model is a useful tool
to assess the feasibility of evaluating the use of ASR systems during regional-scale water resources planning endeavors. |
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Keywords: | ASR Aquifer recharge Optimization Coastal aquifers Sustainability Texas USA |
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