2010
DOI: 10.1111/j.1752-1688.2010.00434.x
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Mason Valley Groundwater Model: Linking Surface Water and Groundwater in the Walker River Basin, Nevada1

Abstract: Carroll, Rosemary W.H., Greg Pohll, David McGraw, Chris Garner, Anna Knust, Doug Boyle, Tim Minor, Scott Bassett, and Karl Pohlmann, 2010. Mason Valley Groundwater Model: Linking Surface Water and Groundwater in the Walker River Basin, Nevada. Journal of the American Water Resources Association (JAWRA) 46(3):554‐573. DOI: http://dx.doi.org/10.1111/j.1752-1688.2010.00434.x Abstract:  An integrated surface water and groundwater model of Mason Valley, Nevada is constructed to replicate the movement of water throu… Show more

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Cited by 20 publications
(20 citation statements)
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“…A promising approach toward enhancing recharge to aquifers that has not been explored formally in the literature, is to develop MAR projects within agricultural lands during periods of excess surface water, referred to herein as Ag‐MAR. This concept hinges on the fact that many agricultural lands have historically provided significant aquifer recharge due to inefficient irrigation systems (i.e., seepage through unlined delivery canals and deep drainage beneath irrigated fields) [ Perry , ; Carroll et al ., ; Niswonger et al ., ; Scanlon et al ., ]. In agricultural lands, information about MAR suitability is generally well known by growers in the form of irrigation inefficiencies, also known as groundwater return flows, that reflect the amount of water that is lost to deep percolation or aquifer recharge relative to the amount of runoff and evapotranspiration (ET) by crop tail‐water [ Kruse , ].…”
Section: Introductionmentioning
confidence: 99%
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“…A promising approach toward enhancing recharge to aquifers that has not been explored formally in the literature, is to develop MAR projects within agricultural lands during periods of excess surface water, referred to herein as Ag‐MAR. This concept hinges on the fact that many agricultural lands have historically provided significant aquifer recharge due to inefficient irrigation systems (i.e., seepage through unlined delivery canals and deep drainage beneath irrigated fields) [ Perry , ; Carroll et al ., ; Niswonger et al ., ; Scanlon et al ., ]. In agricultural lands, information about MAR suitability is generally well known by growers in the form of irrigation inefficiencies, also known as groundwater return flows, that reflect the amount of water that is lost to deep percolation or aquifer recharge relative to the amount of runoff and evapotranspiration (ET) by crop tail‐water [ Kruse , ].…”
Section: Introductionmentioning
confidence: 99%
“…Another approach for developing MAR suitability information specific to infrastructure needs is to focus on areas where recharge occurs naturally. In semiarid regions, focused recharge occurs beneath ephemeral streambeds, flood protection basins, irrigation delivery canals, and irrigated fields [ Ghayoumian et al ., ; Niswonger et al ., ; Stonestrom et al ., ; Perry , ; Carroll et al ., ].…”
Section: Introductionmentioning
confidence: 99%
“…Coupled groundwater-surface water models are being increasingly used to examine a variety of environmental interactions, including interactions in small mountainous catchments [6]; solute transport [7,8], flood wave modeling [9], catchment water resource management and understanding [10][11][12][13][14][15][16][17], the role of aquifer heterogeneity [18,19], and wetland alterations and aquaculture [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…In agricultural lowland area, drainage canals play an important role in groundwater discharge from shallow aquifers to keep soil water contents proper in crop fields. Carroll et al (2010) developed a MODFLOW-based hydrological model in which the water exchange between drainage canals and aquifer is focused on but the canal flow is assumed to be steady and uniform. Takeuchi et al (2009) developed a finite-volume hydro-environmental model in which the water exchange between drainage canals and aquifer is taken into account.…”
Section: Introductionmentioning
confidence: 99%