Arden Davis

South Dakota School of Mines and Technology

Affiliations

Department of Geology & Geological Engineering

Institute For The Study Of Mineral Deposits

NoneArden Davis is currently serving as a Geology & Geological Engineering faculty at South Dakota School of Mines And Technology.

Honors

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Experiences

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Education

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Arden Davis

South Dakota School of Mines and Technology

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environmental science environmental engineering water quality hydrology groundwater water science clean water hydrogeology water pollution water treatment hydrological process geography water resources environmental remediation water resource management applied geochemistry earth science geoenvironmental engineering water process engineering environmental geochemistry numerical simulations sediment research hydroinformatics data assimilation surface water hydraulic research waste management hydrometallurgy evolutionary intelligence ensemble algorithms hydrological modeling drinking water treatment black hills south dakota information fusion environmental fluid mechanics mixture analysis mixture distribution hydrological sciences reservoir modeling soil contamination soil pollution pollution monitoring chemical pollution environmental pollution groundwater remediation metalloid contamination groundwater pollution surface-water hydrology trace metals hydrothermal geochemistry water reuse water consumption metal contamination groundwater quality terrestrial geochemistry environmental geology multivariate statistical approach unknown end members mixing proportions groundwater modelling discrete fracture networks stochastic inversion lead removal geochemical thermodynamics inverse modeling ensemble smoother multiple data assimilation laboratory testing arsenic removal mine drainage

Notable Scholarly Works

Notable Federal Grants

Collaborators

Leveraging Deep Learning With Progressive Growing Gan and Ensemble Smoother With Multiple Data Assimilation for Inverse Modeling. Advances in Water Resources (2024)

Michael TettehLiangping LiArden Davis

ensemble smootherwater resource managementinverse modelingdeep learningmultiple data assimilationwater resourcesdata assimilation

Progressive Growing Generative Adversarial Networks Using Conditioning Ratio for Facies Modeling in Complex Aquifers. Hydrogeology Journal (2023)

uncertainty quantificationhydroinformaticsmachine learninghydrogeologyhydrological processgeoenvironmental engineeringnumerical modeling (geology)geographydeep learningneural computationcivil engineeringmachine learning researchcomputational intelligencedata scienceevolutionary intelligenceneural network (machine learning)geophysical prospecting

Stochastic Inversion of Discrete Fracture Networks Using Genetic Algorithms. Advances in Water Resources (2023)

Fleford RedolozaLiangping LiArden Davis

discrete fracture networksgroundwaterstochastic inversionenvironmental sciencenumerical simulationswater resources

Teaching Groundwater Flow and Contaminant Transport Modeling via a Sand-Tank Model. Mathematical Geosciences (2022)

environmental engineeringhydroinformaticshydraulic researchsediment transportenvironmental modellingwater qualitygroundwaterwater resource managementhydrogeologyhydrological processgeoenvironmental engineeringwater sciencehydrologyenvironmental sciencecivil engineeringwater resourcesvadose zone

Variational Autoencoder or Generative Adversarial Networks? a Comparison of Two Deep Learning Methods for Flow and Transport Data Assimilation. Mathematical Geosciences (2022)

machine intelligencemachine learningbio-inspired computationfluid dynamicsevolutionary intelligenceartificial intelligencecomputer sciencedeep learningneural computationmachine learning researchenvironmental fluid mechanicscomputational intelligencedata scienceimage representationneural network (machine learning)applied mathematicsinformation fusion

An Iterative Normal-Score Ensemble Smoother for Dealing With Non-Gaussianity in Data Assimilation. Journal of Hydrology (2018)

Liangping LiLarry StetlerZhendan CaoArden Davis

ensemble algorithmshydrologyhydrological processenvironmental sciencedata assimilationhydrological modeling

Data Assimilation in Groundwater Modelling: Ensemble Kalman Filter Versus Ensemble Smoothers. Hydrological Processes (2018)

Liangping LiRyan PuzelArden Davis

hydroinformaticsreservoir modelingenvironmental modellinggroundwaterensemble algorithmshydrologyhydrological processnumerical modeling (geology)environmental sciencegeoscientific model developmentmodeling and simulationnumerical simulationsdata scienceearth sciencehydrological sciencesgroundwater modellingdata assimilationhydrological modeling

Geochemical Thermodynamics of Lead Removal From Water With Limestone. Water Air & Soil Pollution (2018)

Arden D. DavisCathleen J. WebbJenifer L. SorensenDavid J. DixonRoberta Hudson

environmental engineeringsoil contaminationwater qualitysoil pollutionenvironmental pollutionchemical engineeringpollution monitoringenvironmental sciencechemical pollutiongeochemical thermodynamicswater treatmentwater pollutionclean waterenvironmental chemistrylead removalenvironmental remediation

Thermodynamic Constraints on Limestone-Based Arsenic Removal From Water. Environmental Earth Sciences (2018)

Arden D. DavisCathleen J. WebbJenifer L. SorensenDavid J. Dixon

environmental geochemistrywater qualityhydrothermal geochemistryenvironmental sciencelimestone-based arsenic removalwater pollutionchemical engineeringwater process engineeringwater sciencethermodynamic constraintsbioremediationclean waterdrinking water treatmentclay sciencesurface waterwastewater treatmentenvironmental engineeringwater treatmentapplied geochemistrytrace metals

Tritium in Groundwater in the Black Hills of South Dakota. Environmental Earth Sciences (2017)

Perry H. RahnAndrew G. DetwilerArden D. Davis

environmental geochemistrysouth dakotagroundwatergeochemistryhydrogeologyhydrologyenvironmental scienceblack hillsterrestrial geochemistryearth scienceenvironmental geologygroundwater qualityecologygeology