An Approach to Include Hydrogeologic Barriers With Unknown Geometric Properties in Groundwater Model Inversions

Marshall, Sarah K.; Cook, Peter G.; Simmons, Craig T.; Konikow, Leonard F.; Dogramaci, Shawan

doi:10.1029/2021wr031458

Cited by 3 publications

(2 citation statements)

References 64 publications

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“…We ran a total of 10 simulations beginning with one K case from each analytical approach and our three geological K maps for comparison. After concluding the first five simulations, we moved forward with an additional five simulations; this time making use of a model element referred to as a vertical flow barrier, which simulates confining units by reducing flow at specified model cell interfaces (Marshall et al 2022). The depth at which the vertical flow barrier is applied can be constant or can vary laterally (see Figure 3).…”

Section: Methodsmentioning

confidence: 99%

Continental Scale Hydrostratigraphy: Comparing Geologically Informed Data Products to Analytical Solutions

Swilley,

Tijerina‐Kreuzer,

Tran

et al. 2023

Groundwater

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This study synthesizes two different methods for estimating hydraulic conductivity (K) at large scales. We derive analytical approaches that estimate K and apply them to the contiguous US. We then compare these analytical approaches to three‐dimensional, national gridded K data products and three transmissivity (T) data products developed from publicly available sources. We evaluate these data products using multiple approaches: comparing their statistics qualitatively and quantitatively and with hydrologic model simulations. Some of these datasets were used as inputs for an integrated hydrologic model of the Upper Colorado River Basin and the comparison of the results with observations was used to further evaluate the K data products. Simulated average daily streamflow was compared to daily flow data from 10 USGS stream gages in the domain, and annually averaged simulated groundwater depths are compared to observations from nearly 2,000 monitoring wells. We find streamflow predictions from analytically informed simulations to be similar in relative bias and Spearman's rho to the geologically informed simulations. R‐squared values for groundwater depth predictions are close between the best performing analytically and geologically informed simulations at 0.68 and 0.70 respectively, with RMSE values under 10m. We also show that the analytical approach derived by this study produces estimates of K that are similar in spatial distribution, standard deviation, mean value, and modeling performance to geologically‐informed estimates. The results of this work are used to inform a follow‐on study that tests additional data‐driven approaches in multiple basins within the contiguous US.This article is protected by copyright. All rights reserved.

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Section: Methodsmentioning

confidence: 99%

Continental Scale Hydrostratigraphy: Comparing Geologically Informed Data Products to Analytical Solutions

Swilley,

Tijerina‐Kreuzer,

Tran

et al. 2023

Groundwater

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show abstract

“…Non-peer-reviewed EarthArXiv preprint-submitted to Groundwater 25 We ran a total of 10 simulations beginning with one K case from each analytical approach and our three geological K maps for comparison. After concluding the first five simulations, we moved forward with an additional five simulations; this time making use of a model element referred to as a vertical flow barrier, which simulates confining units by reducing flow at specified model cell interfaces (Marshall et al 2022). The depth at which the vertical flow barrier is applied can be constant or can vary laterally (see Figure 2).…”

Section: Modeling Methodsmentioning

confidence: 99%

Continental scale hydrostratigraphy: comparing geologically informed data products to analytical solutions

Swilley,

Tijerina-Kreuzer,

Tran

et al. 2023

Preprint

View full text Add to dashboard Cite

This study synthesizes two different methods for estimating hydraulic conductivity (K) at large scales. We derive analytical approaches that estimate K and apply them to the contiguous US. We then compare these analytical approaches to three-dimensional, national gridded K data products and three transmissivity (T) data products developed from publicly available sources. We evaluate these data products using multiple approaches: comparing their statistics qualitatively and quantitatively and with hydrologic model simulations. Some of these datasets were used as inputs for an integrated hydrologic model of the Upper Colorado River Basin and the comparison of the results with observations was used to further evaluate the K data products. Simulated average daily streamflow was compared to daily flow data from 10 USGS stream gages in the domain, and annually averaged simulated groundwater depths are compared to observations from nearly 2,000 monitoring wells. We find streamflow predictions from analytically informed simulations to be similar in relative bias and Spearman’s rho to the geologically informed simulations. R-squared values for groundwater depth predictions are close between the best performing analytically and geologically informed simulations at 0.68 and 0.70 respectively, with RMSE values under 10m. We also show that the analytical approach derived by this study produces estimates of K that are similar in spatial distribution, standard deviation, mean value, and modeling performance to geologically-informed estimates. The results of this work are used to inform a follow-on study that tests additional data-driven approaches in multiple basins within the contiguous US.

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Groundwater level fluctuation caused by tide and groundwater pumping in coastal multi-layer aquifer system

Guo,

Liu,

Zhu

et al. 2024

Front. Mar. Sci.

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This paper considered the groundwater head fluctuation induced by tide and pumping in the coastal multi-layered aquifer system. The multi-layered aquifer system comprises an unconfined aquifer, an upper confined aquifer, and a lower confined aquifer. An aquiclude exists between each two aquifers. All the layers terminate at the coastline. The new analytical solutions describing groundwater head variation in the coastal multi-confined aquifer system are derived. Superposition principle and image methods are used for the derivation of the analytical solutions. Analytical solutions of different situations of without considering pumping, of without considering tidal effect, and of N-layered confined aquifers are also derived. The impacts of the parameters of the initial phase shift of tide, pumping rate, position of the pumping well, storage coefficient, and transmissivity on the groundwater head fluctuation are discussed. The analytical solutions are applied with application examples in fitting field observations and parameter estimations. The estimated values of the hydraulic conductivities in the upper and lower confined aquifers are within the range of the values obtained from the field experiments. The fitted results of the analytical solutions capture the main characteristics of groundwater head fluctuation affected by the tide and groundwater pumping. The study of groundwater head fluctuation in the coastal zone is helpful to understand the mechanism of seawater intrusion under the influence of tide and groundwater pumping.

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An Approach to Include Hydrogeologic Barriers With Unknown Geometric Properties in Groundwater Model Inversions

Cited by 3 publications

References 64 publications

Continental Scale Hydrostratigraphy: Comparing Geologically Informed Data Products to Analytical Solutions

Continental Scale Hydrostratigraphy: Comparing Geologically Informed Data Products to Analytical Solutions

Continental scale hydrostratigraphy: comparing geologically informed data products to analytical solutions

Groundwater level fluctuation caused by tide and groundwater pumping in coastal multi-layer aquifer system

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