ASR System Optimization
Location
ECC 305
Event Website
http://water.usu.edu/
Start Date
4-3-2012 11:00 AM
End Date
4-3-2012 11:20 AM
Description
Aquifer Storage Recovery (ASR) involves placing water into storage during times when water is available, especially during wet seasons, and recovering the water during dry seasons when it is needed. Storing water underground reduces or eliminates the need to construct expensive surface reservoirs. Recovery efficiency is defined as the percentage of the water volume stored during an operating cycle that subsequently is recovered during the same cycle, while satisfying a target water-quality criterion in the recovered water. An ASR system installed in Salt Lake Valley in 2002, currently has 18 extraction/injection wells. An operational management goal is to increase the system recovery efficiency. Preliminary efforts employ the MODFLOW groundwater flow simulation model, and focus on improving the placement and timing of ASR injection and extraction. The intended end product will be a simulation-optimization model that maximizes system recovery efficiency.
ASR System Optimization
ECC 305
Aquifer Storage Recovery (ASR) involves placing water into storage during times when water is available, especially during wet seasons, and recovering the water during dry seasons when it is needed. Storing water underground reduces or eliminates the need to construct expensive surface reservoirs. Recovery efficiency is defined as the percentage of the water volume stored during an operating cycle that subsequently is recovered during the same cycle, while satisfying a target water-quality criterion in the recovered water. An ASR system installed in Salt Lake Valley in 2002, currently has 18 extraction/injection wells. An operational management goal is to increase the system recovery efficiency. Preliminary efforts employ the MODFLOW groundwater flow simulation model, and focus on improving the placement and timing of ASR injection and extraction. The intended end product will be a simulation-optimization model that maximizes system recovery efficiency.
https://digitalcommons.usu.edu/runoff/2012/AllAbstracts/16