Estimability of recharge through groundwater model calibration: Insights from a field-scale steady-state example

Knowling, Matthew J.; Werner, Adrian D.

doi:10.1016/j.jhydrol.2016.07.003

Cited by 29 publications

(31 citation statements)

References 70 publications

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“…The simulation of prescribed fluxes in the form of spatially distributed pumping rates is expected to be of benefit to the estimation of recharge following Knowling and Werner (), who showed, using steady‐state variants of the reference model adopted here, that recharge errors were considerably lower where pumping was simulated. Nevertheless, given that the worth of flux data in constraining the parameter estimation process is complicated and problem‐specific (e.g., Voss ), this requires further investigation, both for the present case and for other groundwater modeling cases more generally.…”

Section: Discussionmentioning

confidence: 99%

“…The extent to which time‐varying recharge can be reliably estimated with respect to the factors discussed above is expected to be dependent on initial parameter values, following Knowling and Werner (). The role of initial parameter values in constraining gradient‐based optimization problem where multiple objective function minima are present (Hill and Tiedeman ) has been demonstrated by many studies (e.g., Bravo et al ; Kannan et al ).…”

Section: Discussionmentioning

confidence: 99%

“…Reference model characteristics (adapted from Knowling and Werner []): (left) grid, boundary conditions (“CHB” denotes constant‐head boundary, and “GHB” denotes general‐head boundary), pumping‐well and pilot‐point locations; (middle) S y of the QL aquifer; and (right) log( K ) of the QL aquifer.…”

Section: Methodsmentioning

confidence: 99%

“…PEST adopts the Gauss‐Marquardt‐Levenberg method to minimize a least‐squares objective function. The reader is directed to Knowling and Werner () (and references cited therein) for an overview of the relevant aspects of regularized inversion theory.…”

Section: Methodsmentioning

confidence: 99%

“…PEST adopts the Gauss-Marquardt-Levenberg method to minimize a least-squares objective function. The reader is directed to Knowling and Werner (2016) (and references cited therein) for an overview of the relevant aspects of regularized inversion theory. The sensitivity of model outputs with respect to parameters are computed using central finite differences with a 1% parameter-value perturbation.…”

Section: Model Calibrationmentioning

confidence: 99%

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Transient Recharge Estimability Through Field‐Scale Groundwater Model Calibration

Knowling

Werner

2017

Groundwater

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The estimation of recharge through groundwater model calibration is hampered by the nonuniqueness of recharge and aquifer parameter values. It has been shown recently that the estimability of spatially distributed recharge through calibration of steady-state models for practical situations (i.e., real-world, field-scale aquifer settings) is limited by the need for excessive amounts of hydraulic-parameter and groundwater-level data. However, the extent to which temporal recharge variability can be informed through transient model calibration, which involves larger water-level datasets, but requires the additional consideration of storage parameters, is presently unknown for practical situations. In this study, time-varying recharge estimates, inferred through calibration of a field-scale highly parameterized groundwater model, are systematically investigated subject to changes in (1) the degree to which hydraulic parameters including hydraulic conductivity (K) and specific yield (S ) are constrained, (2) the number of water-level calibration targets, and (3) the temporal resolution (up to monthly time steps) at which recharge is estimated. The analysis involves the use of a synthetic reality (a reference model) based on a groundwater model of Uley South Basin, South Australia. Identifiability statistics are used to evaluate the ability of recharge and hydraulic parameters to be estimated uniquely. Results show that reasonable estimates of monthly recharge (<30% recharge root-mean-squared error) require a considerable amount of transient water-level data, and that the spatial distribution of K is known. Joint estimation of recharge, S and K, however, precludes reasonable inference of recharge and hydraulic parameter values. We conclude that the estimation of temporal recharge variability through calibration may be impractical for real-world settings.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Model Calibrationmentioning

confidence: 99%

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Transient Recharge Estimability Through Field‐Scale Groundwater Model Calibration

Knowling

Werner

2017

Groundwater

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Soil water dynamics and water balance on a tropical coral island

Han

Liu

et al. 2021

Hydrological Processes

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Understanding soil water dynamics and the water balance of tropical coral islands is important for the utilization and management of their limited freshwater resources, which is only from rainfall. However, there is a significant knowledge gap in the influence of soil water on the water cycle of coral islands. Soil water dynamics and the water balance of Zhaoshu Island, Xisha Archipelago were thus investigated using soil moisture measurements and the Hydrus-1D model from October 2018 to September 2019. Over the study period, vegetation transpiration, soil evaporation, groundwater recharge and storage in the vadose zone were approximately 196, 330, 365 and 20 mm, occupying 22%, 36%, 40% and 2% of annual rainfall total (911 mm), respec-

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An approach to hydrogeological modeling of a large system of groundwater-fed lakes and wetlands in the Nebraska Sand Hills, USA

2017

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The feasibility of a hydrogeological modeling approach to simulate several thousand shallow groundwater-fed lakes and wetlands without explicitly considering their connection with groundwater is investigated at the regional scale (~40,000 km 2) through an application in the semi-arid Nebraska Sand Hills (NSH), USA. Hydraulic heads are compared to local land-surface elevations from a digital elevation model (DEM) within a geographic information system to assess locations of lakes and wetlands. The water bodies are inferred where hydraulic heads exceed, or are above a certain depth below, the land surface. Numbers of lakes and/or wetlands are determined via image cluster analysis applied to the same 30-m grid as the DEM after interpolating both simulated and estimated heads. The regional water-table map was used for groundwater model calibration, considering MODIS-based net groundwater recharge data. Resulting values of simulated total baseflow to interior streams are within 1% of observed values. Locations, areas, and numbers of simulated lakes and wetlands are compared with Landsat 2005 survey data and with areas of lakes from a 1979-1980 Landsat survey and the National Hydrography Dataset. This simplified process-based modeling approach avoids the need for field-based morphology or water-budget data from individual lakes or wetlands, or determination of lake-groundwater exchanges, yet it digitalcommons.unl.edu

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Estimability of recharge through groundwater model calibration: Insights from a field-scale steady-state example

Cited by 29 publications

References 70 publications

Transient Recharge Estimability Through Field‐Scale Groundwater Model Calibration

Transient Recharge Estimability Through Field‐Scale Groundwater Model Calibration

Soil water dynamics and water balance on a tropical coral island

An approach to hydrogeological modeling of a large system of groundwater-fed lakes and wetlands in the Nebraska Sand Hills, USA

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