Predicting Aquifer Response Time for Application in Catchment Modeling |
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| Authors: | Glen R Walker Mat Gilfedder Warrick R Dawes David W Rassam |
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| Affiliation: | 1. CSIRO Water for a Healthy Country National Research Flagship, CSIRO Land and Water, Glen Osmond, Australia;2. CSIRO Water for a Healthy Country National Research Flagship, CSIRO Land and Water, Wembley, Australia;3. CSIRO Water for a Healthy Country National Research Flagship, CSIRO Land and Water, Brisbane, Australia |
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| Abstract: | It is well established that changes in catchment land use can lead to significant impacts on water resources. Where land‐use changes increase evapotranspiration there is a resultant decrease in groundwater recharge, which in turn decreases groundwater discharge to streams. The response time of changes in groundwater discharge to a change in recharge is a key aspect of predicting impacts of land‐use change on catchment water yield. Predicting these impacts across the large catchments relevant to water resource planning can require the estimation of groundwater response times from hundreds of aquifers. At this scale, detailed site‐specific measured data are often absent, and available spatial data are limited. While numerical models can be applied, there is little advantage if there are no detailed data to parameterize them. Simple analytical methods are useful in this situation, as they allow the variability in groundwater response to be incorporated into catchment hydrological models, with minimal modeling overhead. This paper describes an analytical model which has been developed to capture some of the features of real, sloping aquifer systems. The derived groundwater response timescale can be used to parameterize a groundwater discharge function, allowing groundwater response to be predicted in relation to different broad catchment characteristics at a level of complexity which matches the available data. The results from the analytical model are compared to published field data and numerical model results, and provide an approach with broad application to inform water resource planning in other large, data‐scarce catchments. |
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