Characterizing the impact of roughness and connectivity features of aquifer conductivity using Bayesian inversion

Heße, Falk; Savoy, H.; Osorio-Murillo, C. A.; Sege, Jon; Attinger, Sabine; Rubin, Yoram

doi:10.1016/j.jhydrol.2015.09.067

Cited by 12 publications

(10 citation statements)

References 66 publications

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“…However, roughness is a property to which pumping tests show little to no sensitive. Accordingly, recent studies have demonstrated that no discernible differences are caused by roughness when used for both flow and transport simulations [e.g., Heße et al ., ].…”

Section: Methodsmentioning

confidence: 99%

“…However, more recent studies have pointed out that such univariate Gaussianity may not necessarily lead to multivariate Gaussianity [e.g., Gómez‐Hernández and Wen , ; Zinn and Harvey , ]. As a result, a wide range of non‐Gaussian models have been explored [e.g., Zhou et al ., ; Linde et al ., ] which are particularly important in the presence of highly connected fields [ Molinari et al ., ; Fiori et al ., ; Heße et al ., ]. Both approaches have their merits and limitations especially with regard to mathematical complexity and mapping of geological realism.…”

Section: Introductionmentioning

confidence: 99%

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Extending Theis' solution: Using transient pumping tests to estimate parameters of aquifer heterogeneity

Zech

Müller

Mai

et al. 2016

Water Resources Research

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A framework for interpreting transient pumping tests in heterogeneous transmissivity fields is developed to infer the overall geostatistical parameters of the medium without reconstructing the specific heterogeneous structure point wise. The methodology of Radial Coarse Graining is applied to deduce an effective radial description of multi-Gaussian transmissivity. It was used to derive an Effective Well Flow Solution for transient flow conditions including not only the storativity, but also the geometric mean, the variance, and the correlation length of log-transmissivity. This solution is shown to be appropriate to characterize the pumping test drawdown behavior in heterogeneous transmissivity fields making use of ensembles of simulated pumping tests with multiple combinations of statistical parameters. Based on the Effective Well Flow Solution, a method is developed for inferring heterogeneity parameters from transient pumping test drawdown data by inverse estimation. Thereby, the impact of statistical parameters on the drawdown is analyzed, allowing to determine the dependence of reliability of parameter estimates on location and number of measurements. It is shown, that the number of measurements can be reduced compared to steady state pumping tests. Finally, a sampling strategy for single aquifer analysis is developed, which allows to estimate the statistical parameters, in particular variance and correlation length for individual heterogeneous transmissivity fields making use of transient pumping test measurements at multiple locations.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extending Theis' solution: Using transient pumping tests to estimate parameters of aquifer heterogeneity

Zech

Müller

Mai

et al. 2016

Water Resources Research

Self Cite

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“…Environmental isotope tracers and hydrochemistry ions, which flow with the karst groundwater, are highly efficient in exploring the aquifer system within a specific area and are helpful if combined with other research methods of hydraulic connectivity [24][25][26][27][28][29]. The valuable perspectives and methods for the exploration of hydraulic connectivity have been obtained by adopting cumbersome mathematical derivation and detailed hydrogeological parameters following the methods described by references [30][31][32][33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

A New Perspective to Explore the Hydraulic Connectivity of Karst Aquifer System in Jinan Spring Catchment, China

Zhang

Wang

et al. 2018

Water

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Investigating the hydraulic connectivity of a complex karst aquifer system is an important research topic for sustainable operation and optimization layout of karst groundwater exploitation and recharge. However, the identification of preferential sites of recharge and exploitation is usually subject to regional hydrogeology conditions and the mechanisms of recharge and exploitation. The conventional research methods of hydraulic connectivity often have some limitations. In this study, we developed an improved grey amplitude relation model to explore the hydraulic connectivity in Jinan spring catchment and presented a quantized evaluation index water table fluctuation relation degree (WTFRD) using karst groundwater table data in Western Jinan and Jinan spring groups from 2014 to 2017. Results showed that the total WTFRD was 0.854 between Western Jinan and Jinan spring groups when the external distraction for karst groundwater table was the smallest, which was in high relation degree grade. Meanwhile, the change rules of karst groundwater table in the two sites were basically the same. Accordingly, a high connectivity occurred between the two karst aquifers from a statistical perspective, and further illustrated that Western Jinan could be selected as preferential experiment sites. A comprehensive case in Jinan spring catchment indicated that the WTFRD provided a preliminary idea to investigate hydraulic connectivity quantitatively. This method could be considered as a pre-study of the conventional experiments to form a high-efficiency and low-cost combined method, which has great potential and merits further study.

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Section: Introductionmentioning

confidence: 99%

“…Other examples of using HTCondor to create HTC systems from local computers include running hundreds of thousands of MODFLOW models to find spatial random fields by applying the Bayesian inverse modeling technique Method of Anchored Distributions (Heße et al, 2015;Osorio-Murillo et al, 2015), and Fienen et al (2013) used HTCondor at the U.S. Geological Survey Wisconsin Water Science Center to calibrate a SEAWAT model. Also, Taylor (2013) used Python scripts to interact with HTCondor's command line interface (CLI) in a Windows environment to automate the process of using HTCondor to perform a stochastic analysis with the hydrologic model Gridded Surface/Subsurface Hydrologic Analysis (GSSHA).…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Python Toolkit for Accessing High‐Throughput Computing to Support Large Hydrologic Modeling Tasks

Christensen

Swain

Jones

et al. 2016

J American Water Resour Assoc

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The National Flood Interoperability Experiment (NFIE) was an undertaking that initiated a transformation in national hydrologic forecasting by providing streamflow forecasts at high spatial resolution over the whole country. This type of large‐scale, high‐resolution hydrologic modeling requires flexible and scalable tools to handle the resulting computational loads. While high‐throughput computing (HTC) and cloud computing provide an ideal resource for large‐scale modeling because they are cost‐effective and highly scalable, nevertheless, using these tools requires specialized training that is not always common for hydrologists and engineers. In an effort to facilitate the use of HTC resources the National Science Foundation (NSF) funded project, CI‐WATER, has developed a set of Python tools that can automate the tasks of provisioning and configuring an HTC environment in the cloud, and creating and submitting jobs to that environment. These tools are packaged into two Python libraries: CondorPy and TethysCluster. Together these libraries provide a comprehensive toolkit for accessing HTC to support hydrologic modeling. Two use cases are described to demonstrate the use of the toolkit, including a web app that was used to support the NFIE national‐scale modeling.

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Characterizing the impact of roughness and connectivity features of aquifer conductivity using Bayesian inversion

Cited by 12 publications

References 66 publications

Extending Theis' solution: Using transient pumping tests to estimate parameters of aquifer heterogeneity

Extending Theis' solution: Using transient pumping tests to estimate parameters of aquifer heterogeneity

A New Perspective to Explore the Hydraulic Connectivity of Karst Aquifer System in Jinan Spring Catchment, China

A Comprehensive Python Toolkit for Accessing High‐Throughput Computing to Support Large Hydrologic Modeling Tasks

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