Integrated assessment of lateral flow, density effects and dispersion in aquifer storage and recovery

Aquifer storage and recovery (ASR) involves the injection of freshwater into an aquifer for later recovery and use. This paper investigates three major factors leading to reduction in performance of ASR systems in brackish or saline aquifers: lateral flow, density-driven flow and dispersive mixing....

Full description

Bibliographic Details
Main Authors: Ward, J.D., Simmons, C.T., Dillon, P.J., Pavelic, Paul
Format: Journal Article
Language:Inglés
Published: Elsevier 2009
Subjects:
Online Access:https://hdl.handle.net/10568/40678
_version_ 1855527070986141696
author Ward, J.D.
Simmons, C.T.
Dillon, P.J.
Pavelic, Paul
author_browse Dillon, P.J.
Pavelic, Paul
Simmons, C.T.
Ward, J.D.
author_facet Ward, J.D.
Simmons, C.T.
Dillon, P.J.
Pavelic, Paul
author_sort Ward, J.D.
collection Repository of Agricultural Research Outputs (CGSpace)
description Aquifer storage and recovery (ASR) involves the injection of freshwater into an aquifer for later recovery and use. This paper investigates three major factors leading to reduction in performance of ASR systems in brackish or saline aquifers: lateral flow, density-driven flow and dispersive mixing. Previous analyses of aquifer storage and recovery (ASR) have considered at most two of the above processes, but never all three together, and none have considered lateral flow and density effects together. In this analysis, four dimensionless parameters are defined to give an approximate characterisation of lateral flow, dispersive mixing, mixed convection (density effects during pumping) and free convection (density effects during storage). An extensive set of numerical models spanning a wide parameter range is then used to develop a predictive framework using the dimensionless numbers. If the sum of the four dimensionless numbers (denoted RASR) exceeds 10, the ASR operation is likely to fail with no recoverable freshwater, while if RASR < 0.1, the ASR operation is likely to provide at least some recovery of freshwater. The predictive framework is tested using limited data available from ASR field sites, broadly lending support to the framework. This study has several important implications. Firstly, the lack of completeness of field data sets in the literature must be rectified if we are to properly characterise mixed-convective flow processes in ASR operations. Once data are available, the dimensionless numbers can be used to identify suitable ASR sites and the desirable operational conditions that maximise recovery efficiencies.
format Journal Article
id CGSpace40678
institution CGIAR Consortium
language Inglés
publishDate 2009
publishDateRange 2009
publishDateSort 2009
publisher Elsevier
publisherStr Elsevier
record_format dspace
spelling CGSpace406782025-06-17T08:23:44Z Integrated assessment of lateral flow, density effects and dispersion in aquifer storage and recovery Ward, J.D. Simmons, C.T. Dillon, P.J. Pavelic, Paul aquifers water storage models simulation Aquifer storage and recovery (ASR) involves the injection of freshwater into an aquifer for later recovery and use. This paper investigates three major factors leading to reduction in performance of ASR systems in brackish or saline aquifers: lateral flow, density-driven flow and dispersive mixing. Previous analyses of aquifer storage and recovery (ASR) have considered at most two of the above processes, but never all three together, and none have considered lateral flow and density effects together. In this analysis, four dimensionless parameters are defined to give an approximate characterisation of lateral flow, dispersive mixing, mixed convection (density effects during pumping) and free convection (density effects during storage). An extensive set of numerical models spanning a wide parameter range is then used to develop a predictive framework using the dimensionless numbers. If the sum of the four dimensionless numbers (denoted RASR) exceeds 10, the ASR operation is likely to fail with no recoverable freshwater, while if RASR < 0.1, the ASR operation is likely to provide at least some recovery of freshwater. The predictive framework is tested using limited data available from ASR field sites, broadly lending support to the framework. This study has several important implications. Firstly, the lack of completeness of field data sets in the literature must be rectified if we are to properly characterise mixed-convective flow processes in ASR operations. Once data are available, the dimensionless numbers can be used to identify suitable ASR sites and the desirable operational conditions that maximise recovery efficiencies. 2009-05 2014-06-13T14:48:10Z 2014-06-13T14:48:10Z Journal Article https://hdl.handle.net/10568/40678 en Limited Access Elsevier Ward, J. D.; Simmons, C. T.; Dillon, P. J.; Pavelic, Paul. 2009. Integrated assessment of lateral flow, density effects and dispersion in aquifer storage and recovery. Journal of Hydrology, 370: 83-99. doi: https://doi.org/10.1016/j.jhydrol.2009.02.055
spellingShingle aquifers
water storage
models
simulation
Ward, J.D.
Simmons, C.T.
Dillon, P.J.
Pavelic, Paul
Integrated assessment of lateral flow, density effects and dispersion in aquifer storage and recovery
title Integrated assessment of lateral flow, density effects and dispersion in aquifer storage and recovery
title_full Integrated assessment of lateral flow, density effects and dispersion in aquifer storage and recovery
title_fullStr Integrated assessment of lateral flow, density effects and dispersion in aquifer storage and recovery
title_full_unstemmed Integrated assessment of lateral flow, density effects and dispersion in aquifer storage and recovery
title_short Integrated assessment of lateral flow, density effects and dispersion in aquifer storage and recovery
title_sort integrated assessment of lateral flow density effects and dispersion in aquifer storage and recovery
topic aquifers
water storage
models
simulation
url https://hdl.handle.net/10568/40678
work_keys_str_mv AT wardjd integratedassessmentoflateralflowdensityeffectsanddispersioninaquiferstorageandrecovery
AT simmonsct integratedassessmentoflateralflowdensityeffectsanddispersioninaquiferstorageandrecovery
AT dillonpj integratedassessmentoflateralflowdensityeffectsanddispersioninaquiferstorageandrecovery
AT pavelicpaul integratedassessmentoflateralflowdensityeffectsanddispersioninaquiferstorageandrecovery