Analytical methods for estimating saturated hydraulic conductivity in a tile-drained field

Rupp, David E.; Owens, Joshua M.; Warren, Kristina; Selker, John S.

doi:10.1016/j.jhydrol.2003.11.004

Cited by 22 publications

(34 citation statements)

References 12 publications

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“…The local storage change is 2-6 times (depending on the station) larger than the catchment storage change. Deviations between estimated and field averaged system parameters of the same order have been reported by Rupp et al [2004]. This difference may be caused by the location of the soil moisture measurement sites, which are all relatively far from draining channels and, therefore, show a larger than average temporal variation in groundwater level.…”

Section: Results Of Direct Storage-discharge Fittingsupporting

confidence: 57%

Investigating storage‐discharge relations in a lowland catchment using hydrograph fitting, recession analysis, and soil moisture data

Brauer

Teuling

Torfs

et al. 2013

Water Resources Research

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[1] The relation between storage and discharge is an essential characteristic of many rainfall-runoff models. The simple dynamical systems approach, in which a rainfall-runoff model is constructed from a single storage-discharge relation, has been successfully applied to humid catchments. Here we investigate (1) if and when the less humid lowland Hupsel Brook catchment also behaves like a simple dynamical system by hydrograph fitting, and (2) if system parameters can be inferred from streamflow recession rates or more directly from soil moisture storage observations. Only 39% of the fitted monthly hydrographs yielded Nash-Sutcliffe efficiencies above 0.5, from which we can conclude that the Hupsel Brook catchment does not always behave like a simple dynamical system. Model results were especially poor in summer, when evapotranspiration is high and the thick unsaturated zone attenuates the rainfall input. Using soil moisture data to obtain system parameters is not trivial, mainly because there is a discrepancy between local and catchment storage. Parameters obtained with direct storage-discharge fitting led to a strong underestimation of the response of runoff to rainfall, while recession analysis leads to an overestimation.Citation: Brauer, C. C., A. J. Teuling, P. J. J. F. Torfs, and R. Uijlenhoet (2013), Investigating storage-discharge relations in a lowland catchment using hydrograph fitting, recession analysis, and soil moisture data, Water Resour. Res., 49,[4257][4258][4259][4260][4261][4262][4263][4264]

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Section: Results Of Direct Storage-discharge Fittingsupporting

confidence: 57%

Investigating storage‐discharge relations in a lowland catchment using hydrograph fitting, recession analysis, and soil moisture data

Brauer

Teuling

Torfs

et al. 2013

Water Resources Research

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“…Theoretically, it uses a model form that is predicted by solutions of the hydraulic groundwater equations (Boussinesq, 1904;Troch et al, 2013). Lumped recession analysis has been used for inverse modeling, the development of flow separation algorithms, characterization of aquifer properties, and parameterization of hydrologic models, among other applications (Vogel and Kroll, 1992;Rupp and Selker, 2006a;Rupp et al, 2004;Szilagyi et al, 1998;Huyck et al, 2005;Bogaart et al, 2016;Tague and Grant, 2004).…”

Section: N Dralle Et Al: Event-scale Recession Analysis Uncertaintymentioning

confidence: 99%

Event-scale power law recession analysis: quantifying methodological uncertainty

Dralle

Karst

Charalampous

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. The study of single streamflow recession events is receiving increasing attention following the presentation of novel theoretical explanations for the emergence of power law forms of the recession relationship, and drivers of its variability. Individually characterizing streamflow recessions often involves describing the similarities and differences between model parameters fitted to each recession time series. Significant methodological sensitivity has been identified in the fitting and parameterization of models that describe populations of many recessions, but the dependence of estimated model parameters on methodological choices has not been evaluated for event-by-event forms of analysis. Here, we use daily streamflow data from 16 catchments in northern California and southern Oregon to investigate how combinations of commonly used streamflow recession definitions and fitting techniques impact parameter estimates of a widely used power law recession model. Results are relevant to watersheds that are relatively steep, forested, and rain-dominated. The highly seasonal mediterranean climate of northern California and southern Oregon ensures study catchments explore a wide range of recession behaviors and wetness states, ideal for a sensitivity analysis. In such catchments, we show the following: (i) methodological decisions, including ones that have received little attention in the literature, can impact parameter value estimates and model goodness of fit; (ii) the central tendencies of event-scale recession parameter probability distributions are largely robust to methodological choices, in the sense that differing methods rank catchments similarly according to the medians of these distributions; (iii) recession parameter distributions are method-dependent, but roughly catchment-independent, such that changing the choices made about a particular method affects a given parameter in similar ways across most catchments; and (iv) the observed correlative relationship between the power-law recession scale parameter and catchment antecedent wetness varies depending on recession definition and fitting choices. Considering study results, we recommend a combination of four key methodological decisions to maximize the quality of fitted recession curves, and to minimize bias in the related populations of fitted recession parameters.

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“…(12) shows how a lower envelope is defined by the stage height precision, the stage-discharge equation, and the time interval. However, (8) and (11) together form the effective lowest envelope.…”

Section: Lower Envelope To àDq/dt Versus Qmentioning

confidence: 99%

“…Brutsaert and Nieber [2] also provided a procedure to interpret these diagrams in terms of physically meaningful parameters. Recession slope analysis has been applied widely since for determining aquifer parameters [1,2,4,5,7,8,12,13] and base flow separation [10].…”

Section: Introductionmentioning

confidence: 99%

Information, artifacts, and noise in dQ/dt−Q recession analysis

Rupp

Selker

2006

Advances in Water Resources

128

170

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Analytical methods for estimating saturated hydraulic conductivity in a tile-drained field

Cited by 22 publications

References 12 publications

Investigating storage‐discharge relations in a lowland catchment using hydrograph fitting, recession analysis, and soil moisture data

Investigating storage‐discharge relations in a lowland catchment using hydrograph fitting, recession analysis, and soil moisture data

Event-scale power law recession analysis: quantifying methodological uncertainty

Information, artifacts, and noise in dQ/dt−Q recession analysis

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