2017
DOI: 10.1002/hyp.11194
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Ecohydrologic considerations for modeling of stable water isotopes in a small intermittent watershed

Abstract: Naturally occurring stable water isotope tracers provide useful information for hydrologic model development and calibration. Existing models include varied approaches concerning unsaturated zone percolation mixing (preferential versus matrix flow) and evapotranspiration (ET) partitioning.We assess the impact of unsaturated zone simplifying assumptions when simulating the Shale Hills Watershed, a small (7.9 ha), temperate, forested watershed near Petersburg, Pennsylvania, USA, with a relatively simple model. W… Show more

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Cited by 48 publications
(65 citation statements)
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References 62 publications
(141 reference statements)
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“…While it was shown that tracer-aided modelling using stable isotopes of water benefits from partitioning ET into a fractionating E flux and a non-fractionating T flux (Knighton et al, 2017), separate water age analyses for E and T have been considered only recently (Smith et al, 2018). However, our analyses showed 10 that the two different fluxes can have markedly different travel time dynamics (Figure 2), average travel time distributions (Figure 4), and water age dynamics (Figure 8).…”
Section: What Controls Travel Times and Water Ages In Evapotranspiratmentioning
confidence: 84%
“…While it was shown that tracer-aided modelling using stable isotopes of water benefits from partitioning ET into a fractionating E flux and a non-fractionating T flux (Knighton et al, 2017), separate water age analyses for E and T have been considered only recently (Smith et al, 2018). However, our analyses showed 10 that the two different fluxes can have markedly different travel time dynamics (Figure 2), average travel time distributions (Figure 4), and water age dynamics (Figure 8).…”
Section: What Controls Travel Times and Water Ages In Evapotranspiratmentioning
confidence: 84%
“…SWAT simulations incorporated a temperature dependent threshold for transpiration with markedly different basal temperatures for EH and AB (Table ), yet our hydrologic model‐based predictions showed only a slight decrease in spring (March ‐ May) AET, and a slight increase in May and June peak discharge, generally agreeing with the direction of influence predicted by Ford and Vose (). A portion of spring runoff inducing events are caused by rapid melting of accumulated winter snowpack on saturated and often frozen soils (Knighton, Saia, et al, ), on which forest composition has limited influence.…”
Section: Resultsmentioning
confidence: 99%
“…We simulated daily discharge, soil moisture, snowpack water equivalent, and groundwater storage with a modified version of JoFlo, the lumped model of Archibald et al (2014). This model has previously been applied to evaluate broad patterns of surface runoff (Knighton, Pleiss, et al, 2019) and forest cover change (Singh et al, 2019) across CONUS, as well as in catchment-scale studies of stable water isotope dynamics (Knighton et al, 2017) and nutrient transport (Georgakakos et al, 2018).…”
Section: Rwu Parameter Estimationmentioning
confidence: 99%