Objective hydrograph baseflow recession analysis

Thomas, Brian F.; Vogel, Richard M.; Famiglietti, J. S.

doi:10.1016/j.jhydrol.2015.03.028

Cited by 57 publications

(54 citation statements)

References 66 publications

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“…Within these three general categories, a wide variety of specific regression techniques can be applied (e.g., Thomas et al, 2015;Zecharias and Brutsaert, 1988). Importantly, many of these approaches require a large number of data points and are thus unsuitable for event-scale methods.…”

Section: Choosing a Fitting Procedures (L)mentioning

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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Section: Choosing a Fitting Procedures (L)mentioning

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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“…the exponent β can vary with the chosen methodology [Rupp and Selker, 2006;Stoelzle et al, 2013;Dralle et al, 2015;Thomas et al, 2015], spatial variation of rainfall and groundwater discharge [Biswal and Nagesh Kumar, 2014], and the quality of data [Rupp and Selker, 2006;Stoelzle et al, 2013]. Questions still remain about whether the α parameter is a meaningful way to summarize recession behavior.…”

Section: 1002/2016gl067927mentioning

confidence: 99%

Streamflow sensitivity to water storage changes across Europe

Berghuijs

Hartmann

Woods

2016

Geophysical Research Letters

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Terrestrial water storage is the primary source of river flow. We introduce storage sensitivity of streamflow (ϵS), which for a given flow rate indicates the relative change in streamflow per change in catchment water storage. ϵS can be directly derived from streamflow observations. Analysis of 725 catchments in Europe reveals that ϵS is high in, e.g., parts of Spain, England, Germany, and Denmark, whereas flow regimes in parts of the Alps are more resilient (that is, less sensitive) to storage changes. A regional comparison of ϵS with observations indicates that ϵS is significantly correlated with variability of low (R2 = 0.41), median (R2 = 0.27), and high flow conditions (R2 = 0.35). Streamflow sensitivity provides new guidance for a changing hydrosphere where groundwater abstraction and climatic changes are altering water storage and flow regimes.

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“…Additionally, base flow estimations can be used to investigate the effects of rainfall on the relationship between the seepage rate and the reservoir water levels. It has long been a topic of interest in hydrology because of its importance in understanding hydrologic processes, which play a crucial role in water resources management [16][17][18]. In recent years, it has increasingly been used as tracers to investigate groundwater-surface water interaction [19,20] and a separate base flow from storm runoff or annual stream flows [21].…”

Section: Introductionmentioning

confidence: 99%

Seepage Behavior of Earth Dams Considering Rainfall Effects

Lee¹,

Kim²,

Kang

2018

Advances in Civil Engineering

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More than 60% of annual rainfall in Korea is concentrated during the monsoon season from June to August because of the climate characteristics of East Asia. In general, reservoir water levels sharply rise during this period and rock-fill dams are exposed to various types of damages such as soil erosion and piping related to seepage problems. However, the detection of seepage problems is generally more difficult because rainfall directly flows into a V-notch weir according to a downstream shell in which seepage rates can be measured downstream. In this paper, rainfall is filtered out from the measured seepage rates to evaluate the effects of rainfall by using a digital filtering method for two large rock-fill dams (Dams A and B). Seepage behavior for these two large rockfill dams was estimated as a steady-state condition. It has been proven that with the application of a digital filter which filters out rainfall-induced infiltration into a downstream shell from a measured seepage flow would make analyzing the seepage behavior of dams more effective. is also shows that consideration for any rainfall effect on the seepage behavior of earth dams is very important. e seepage rate of Dam A was not significantly affected by rainfall because the seepage water was collected inside the dam body and was transferred to a V-notch weir located downstream from the dam through a steel pipe. On the contrary, the seepage rate of Dam B was greatly influenced by rainfall in the rainy season. Also, the permeability of the core zones for Dams A and B was estimated at 8.5 × 10 −5 cm/sec and 2.7 × 10 −5 cm/sec, respectively, by a simplified method.

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Objective hydrograph baseflow recession analysis

Cited by 57 publications

References 66 publications

Event-scale power law recession analysis: quantifying methodological uncertainty

Event-scale power law recession analysis: quantifying methodological uncertainty

Streamflow sensitivity to water storage changes across Europe

Seepage Behavior of Earth Dams Considering Rainfall Effects

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