2016
DOI: 10.1007/s10040-016-1414-y
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Effect of irrigation pumpage during drought on karst aquifer systems in highly agricultural watersheds: example of the Apalachicola-Chattahoochee-Flint river basin, southeastern USA

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Cited by 16 publications
(14 citation statements)
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“…Water-limited crop yields are obtained 1), RHEO was evaluated on how four different crops could be optimally allocated to understand the FEW nexus-how crop production over a groundwater dominated basin is dependent on energy over the SFRB -for a mixed irrigation regime (Figure 6 and Table 2) and to utilize RHEO for developing deficit irrigation strategies to maximize profit depending on climate variability (Figures 7 and 8) and variability in energy costs (Figure 9). Our study shows similar findings to previous studies (Mitra et al, 2016;Seo et al, 2018) that rainfed and deficit irrigation are preferred over full irrigation in the mixed irrigation regime of SFRB (Figure 7) primarily due to diminishing gains in crop yield with additional supplied water and the increased pumping cost of due to deeper groundwater table in drier years. The model is also capable of optimizing irrigation strategies according to changing groundwater table (Figure 8) and changing energy prices (Figure 9).…”
Section: Discussionsupporting
confidence: 90%
“…Water-limited crop yields are obtained 1), RHEO was evaluated on how four different crops could be optimally allocated to understand the FEW nexus-how crop production over a groundwater dominated basin is dependent on energy over the SFRB -for a mixed irrigation regime (Figure 6 and Table 2) and to utilize RHEO for developing deficit irrigation strategies to maximize profit depending on climate variability (Figures 7 and 8) and variability in energy costs (Figure 9). Our study shows similar findings to previous studies (Mitra et al, 2016;Seo et al, 2018) that rainfed and deficit irrigation are preferred over full irrigation in the mixed irrigation regime of SFRB (Figure 7) primarily due to diminishing gains in crop yield with additional supplied water and the increased pumping cost of due to deeper groundwater table in drier years. The model is also capable of optimizing irrigation strategies according to changing groundwater table (Figure 8) and changing energy prices (Figure 9).…”
Section: Discussionsupporting
confidence: 90%
“…High rates of water consumption for agriculture, urban demands for Atlanta from Lake Lanier Reservoir, and other upstream uses (U.S. Army Corps of Engineers Mobile District, 2016; Georgia Water Coalition, 2017) have resulted in reduced flow inputs from the upstream basin to the Apalachicola River (Leitman et al ., 1993; Darst and Light, 2008; Rugel et al ., 2012). These water issues are the reason for a series of lawsuits between various cities, states, and government agencies in the basin over several decades (Rugel et al ., 2012; Hamann, 2013; Mitra et al ., 2016; Klein and Sandfort, 2019). Stage levels in the 170 km‐long (106 mile) river have declined due to both reduced flow inputs from upstream and channel changes associated with the dams and channel modifications for the failed navigation projects, including dredging, artificial cutoffs, and snag removal (Light et al ., 1998, 2006; Mossa et al ., 2017).…”
Section: Study Sitementioning
confidence: 99%
“…The validation results discussed in this section have been obtained from Mitra et al (2016). Stream-aquifer fluxes during July 2011 for all stream reaches were simulated within the target flux range except for reaches 15 and 16 located in Muckalee Creek .…”
Section: Model Validationmentioning
confidence: 99%
“…Initial groundwater conditions were simulated using the published USGS potentiometric surface maps for May-June 2010(Kinnaman & Dixon, 2011). Details regarding groundwater and stream-aquifer flux calibration can be found inMitra et al (2016). A brief description of stream-aquifer flux calibration is provided below.Stream-aquifer flux was calibrated across 16 stream reaches using 21 USGS streamflow gauging stations.…”
mentioning
confidence: 99%