2014
DOI: 10.1016/j.jhydrol.2014.05.036
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Spatially distributed characterization of hyporheic solute transport during baseflow recession in a headwater mountain stream using electrical geophysical imaging

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Cited by 32 publications
(43 citation statements)
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References 66 publications
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“…Improved understanding of gross gains and hydrologic exchange along a stream network can also help improve our understanding and interpretation of watershed biogeochemistry. Often, field studies of hydrologic exchange only consider one or two reaches and rarely incorporate continuous reaches across a stream network [e.g., Triska et al ., ; Harvey and Bencala , ; Ward et al ., ]. Previous spatially distributed network scale estimates of exchange and nutrient uptake have been developed using modeled or extrapolated discharge and velocity [e.g., Mallard et al ., ; Hall et al ., ].…”
Section: Discussionmentioning
confidence: 99%
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“…Improved understanding of gross gains and hydrologic exchange along a stream network can also help improve our understanding and interpretation of watershed biogeochemistry. Often, field studies of hydrologic exchange only consider one or two reaches and rarely incorporate continuous reaches across a stream network [e.g., Triska et al ., ; Harvey and Bencala , ; Ward et al ., ]. Previous spatially distributed network scale estimates of exchange and nutrient uptake have been developed using modeled or extrapolated discharge and velocity [e.g., Mallard et al ., ; Hall et al ., ].…”
Section: Discussionmentioning
confidence: 99%
“…The degree of exchange has been related to streamflow velocity [ Covino et al ., ; Mallard et al ., ] and channel and valley bottom storage states [ Harvey et al ., ; Ward et al ., ]. Both stream flow velocity and storage state are dynamic in space and time and have been found to be influenced by channel and valley bottom structure [ Harvey and Bencala , ; Vidon and Smith , ; Payn et al ., ; Ward et al ., ]. Structural features in the valley bottom that affect the channel water balance occur over a range of scales and also can be dependent on the underlying lithology of the reach [ Bencala et al ., ].…”
Section: Introductionmentioning
confidence: 99%
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“…Researchers (e.g., Stonedahl et al 2012, Harvey et al 2013, Ward et al 2014 are starting to converge on new ways to address the window-of-detection issue in hyporheic studies. We suggest that researchers make many direct measurements of residence times that are spatially distributed throughout the reach and are designed to sample as many stream and hyporheic transient-storage compartments as possible.…”
Section: Key Methodological Limitations On Hyporheic No 3 -Removal Esmentioning
confidence: 99%
“…Such measurements reveal important characteristics and controls on hydrologic exchange flows. A chief downside is that data are representative of only a very small portion of a much larger, complex system and generally do not estimate reach‐averaged conditions at distances of hundreds of meters to tens of kilometers, i.e., the distance at which the effects on water quality become evident [ Ward et al ., ; Harvey and Wagner , ]. Although it is not impossible to characterize groundwater‐surface water interactions by installing many (e.g., hundreds) of drivepoints and modeling results in order to obtain reach‐scale averaged exchange flows [e.g., Wroblicky et al ., ; Baxter and Hauer , ], in most cases the workload is prohibitive.…”
Section: Measuring Hydrologic Exchange Flowsmentioning
confidence: 99%