H13E:
Data Integration, Inverse Methods, and Data Valuation across a Range of Scales in Hydrogeophysics II Posters


Session ID#: 8126

Session Description:
By combining hydrologic and geophysical information, hydrogeophysical methods provide “added value” for environmental characterization that can be used to improve understanding of hydrologic environments, reduce uncertainty in relevant hydrologic parameters, and increase the predictive accuracy of hydrologic models. This session seeks contributions that demonstrate or improve upon methods for integrating hydrologic and geophysical data. Topics of interest include, but are not limited to: hydrogeophysical experimental design; applications of coupled hydrogeophysical modeling; data processing and data reduction schemes; evaluation of data errors and uncertainties across multiple data types; novel approaches to coupled or joint inversion; methods for evaluating uncertainty reduction; and methods for evaluation of hydrogeophysical data worth.
Primary Convener:  Michael A Cardiff, University of Wisconsin Madison, Geoscience, Madison, WI, United States
Conveners:  Mine Dogan, University of Wyoming, Laramie, WY, United States, Anja Klotzsche, Forschungszentrum Jülich GmbH, Agrosphere (IBG-3), Institute of Bio- and Geosciences, Jülich, Germany and Abderrahim Jardani, University of Rouen, Mont-Saint-Aignan Cedex, France
Chairs:  Michael A Cardiff, University of Wisconsin Madison, Geoscience, Madison, WI, United States and Anja Klotzsche, Forschungszentrum Jülich GmbH, Agrosphere (IBG-3), Institute of Bio- and Geosciences, Jülich, Germany
OSPA Liaison:  Mine Dogan, University of Wyoming, Laramie, WY, United States

Cross-Listed:
  • NS - Near Surface Geophysics
Index Terms:

1829 Groundwater hydrology [HYDROLOGY]
1835 Hydrogeophysics [HYDROLOGY]
1849 Numerical approximations and analysis [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]

Abstracts Submitted to this Session:

The Relative Importance of Head, Flux and Prior Information in Hydraulic Tomography Analysis (61234)
Chak Hau Michael Tso, UK Centre for Ecology and Hydrology, Environmental Data Science, Lancaster, United Kingdom; Lancaster University, Lancaster Environment Centre, Lancaster, United Kingdom, Yuanyuan Zha, Wuhan University, School of Water Resources and Hydropower Engineering, Wuhan, China, Tian-Chyi J Yeh, University of Arizona, Department of Hydrology and Atmospheric Science, Tucson, AZ, United States and Jet-Chau Wen, National Yunlin University of Science and Technology, Department and Graduate School of Safety Health and Environmental Engineering, Douliou, Taiwan
Groundwater flow speed measurement using an electrolyte antenna (67425)
Rina Schumer and Jackson B Crews, Desert Research Institute, Reno, NV, United States
Contaminant release history reconstruction through empirical Bayes and Akaike's Bayesian Information Criterion (71752)
Andrea Zanini, University of Parma, Parma, Italy and Allan D Woodbury, The University of British Columbia, Winnipeg, MB, Canada
The recovering of the contaminant release history in heterogeneous and partially known flow field (69506)
Fausto Cupola1, Maria Giovanna Tanda2 and Andrea Zanini1, (1)University of Parma, Parma, Italy, (2)University of Parma, Department of Engineering and Architecture, Parma, Italy
Efficient high-dimensional characterization of conductivity in a sand box using massive MRI-imaged concentration data (68035)
Jonghyun Harry Lee, Stanford University, Stanford, CA, United States, Hongkyu Yoon, Sandia National Laboratories, Geomechanics Department, Albuquerque, NM, United States, Peter K Kitanidis, Stanford University, Department of Civil and Environmental Engineering, Stanford, CA, United States, Charles J Werth, University of Texas at Austin, Department of Civil, Architectural and Environmental Engineering, Austin, TX, United States and Albert J Valocchi, University of Illinois at Urbana-Champaign, Urbana, IL, United States
An Verification of Reciprocity Principle of Groundwater Pumping Tests with Field Case Studies (79680)
Yong-Lin Chen1, Hsin-Yi Chen1, Hong-Ru Lin2, Shao-Yang Huang1 and Jet-Chau Wen3, (1)NYUSUT National Yunlin University of Science and Technology, Yulin, Taiwan, (2)NYUSUT National Yunlin University of Science and Technology, Graduate School of Engineering Science and Technology, Yulin, Taiwan, (3)National Yunlin University of Science and Technology, Department and Graduate School of Safety Health and Environmental Engineering, Douliou, Taiwan
Using Methods of Dimension Reduction to Expand Data Integration and Reduce Uncertainty in Hydrological and Geophysical Parameters (74095)
Alyssa Yu1, Heather Savoy2, Falk Hesse3 and Yoram Rubin1, (1)University of California Berkeley, Berkeley, CA, United States, (2)USDA ARS, SCINet Big Data Program, Office of National Programs, Beltsville, MD, United States, (3)Helmholtz Centre for Environmental Research UFZ Leipzig, Department of Computational Hydrosystems, Leipzig, Germany
Smoothing-based Compressed State Kalman Filter (sCSKF) for Real-time State-parameter Estimation: CO2 Reservoir Monitoring and Characterization (76812)
Judith Yue Li1, Amalia Kokkinaki1, Eric F Darve2,3 and Peter K Kitanidis1,2, (1)Stanford University, Civil and Environmental Engineering, Stanford, CA, United States, (2)Stanford University, Institute for Computational and Mathematical Engineering, Stanford, CA, United States, (3)Stanford University, Mechanical Engineering, Stanford, CA, United States
Bayesian Gibbs Markov chain: MRF-based Stochastic Joint Inversion of Hydrological and Geophysical Datasets for Improved Characterization of Aquifer Heterogeneities. (70601)
Erasmus K. Oware, University at Buffalo, Department of Geology, Buffalo, NY, United States
Accounting for Non-Represented Heterogeneity in Soil Water Flow by Estimating Miller Scaling Fields with Ensemble Kalman Filter (63776)
Hannes Helmut Bauser1,2, Stefan Jaumann1,2 and Kurt Roth3, (1)HGS MathComp, Heidelberg, Germany, (2)Heidelberg University, Heidelberg, Germany, (3)Heidelberg University, Institute of Environmental Physics, Heidelberg, Germany
Smart Fluids in Hydrology: Use of Non-Newtonian Fluids for Pore Structure Characterization (74063)
Majdi R Abou Najm1, Nabil M Atallah2, John Steven Selker3, Clément Roques4, Ryan D. Stewart5, David E Rupp6, George Saad2 and Mutasem El-Fadel7, (1)American University of Beirut, Beirut, 1107, Lebanon, (2)American University of Beirut, Beirut, Lebanon, (3)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States, (4)ETH Zurich, Zürich, Switzerland, (5)Virginia Polytechnic Institute and State University, Crop and Soil Environmental Sciences, Blacksburg, VA, United States, (6)Oregon State University, Corvallis, OR, United States, (7)Department of Civil and Environmental Engineering, American University of Beirut, Beirut, Lebanon
Imaging saline tracer infiltration into unsaturated sandy soil using full-waveform inversion of cross-borehole ground penetrating radar (67564)
Majken Looms1, Eline B Haarder2, Johanna Keskinen2, Lars Nielsen1, Jan Van Der Kruk3 and Anja Klotzsche4, (1)University of Copenhagen, København K, Denmark, (2)University of Copenhagen, Copenhagen, Denmark, (3)Forschungszentrum Jülich GmbH, Jülich 52428, Germany, (4)Forschungszentrum Jülich GmbH, Agrosphere (IBG-3), Institute of Bio- and Geosciences, Jülich, Germany
Resolving precipitation-induced water content profiles through inversion of dispersive GPR data (65084)
Adam R Mangel, Pacific Northwest National Laboratory, Richland, WA, United States, Stephen M Moysey, Clemson University, Environmental Engineering and Earth Sciences, Clemson, United States and Jan Van Der Kruk, Forschungszentrum Jülich GmbH, Jülich 52428, Germany
Coupled Monitoring and Inverse Modeling to Investigate Surface – Subsurface Hydrological and Thermal Dynamics in the Arctic Tundra (81346)
Anh Phuong Tran1, Baptiste Dafflon1, Susan S. Hubbard2, Gautam Bisht3, John Peterson1, Craig Ulrich1, Vladimir E Romanovsky4, Timothy J Kneafsey1 and Yuxin Wu5, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Oak Ridge National Laboratory, Oak Ridge, United States, (3)Pacific Northwest National Laboratory, Richland, United States, (4)University of Alaska Fairbanks, Geophysical Institute, Fairbanks, United States, (5)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States
3D full-waveform inversion of time-lapse horizontal borehole GPR data to map soil water content variability (66932)
Anja Klotzsche1, Jan Van Der Kruk2, Max Oberroehrmann3, Jan Vanderborght2 and Harry Vereecken4, (1)Forschungszentrum Jülich GmbH, Agrosphere (IBG-3), Institute of Bio- and Geosciences, Jülich, Germany, (2)Forschungszentrum Jülich GmbH, Agrosphere Institute (IBG-3), Jülich, Germany, (3)formerly Forschungszentrum Jülich GmbH, Agrosphere Institute (IBG-3), Juelich, Germany, (4)Forschungszentrum Jülich, Jülich, Germany
Use of Time-lapse Mise-á-la-Masse Measurements to Monitor a Saline Tracer Test: Advantages and Limitations. (78512)
Maria Teresa Perri, University of Padua, Padua, Italy, Pantaleone De Vita, The University of Naples Federico II, Naples, Italy, Giorgio Cassiani, University of Padua, Department of Geosciences, Padua, Italy, Rita Masciale, CNR-IRSA Institute, Bari, Italy, Ivan Portoghese, CNR National Research Council, Water Research Institute, Bari, Italy and Giovanni Battista Chirico, ARRAY(0xf5659b0), Portici, Italy
Evaluating the Performance of Short-Term Heat Storage in Alluvial Aquifer with 4D Electrical Resistivity Tomography and Hydrological Monitoring (73021)
Tanguy Robert1, Claire Paulus2, Pierre-Yves Bolly1,2, Emma Koo Seen Lin3, Frederic Nguyen4 and Thomas Hermans4, (1)AQUALE S.P.R.L., Noville-les-Bois, Belgium, (2)Université Catholique de Louvain-la-Neuve, Unité de Génie Civil et Environnemental, Louvain-la-Neuve, Belgium, (3)Ecole Nationale Superieure en Environnement, Georessources et Ingenierie du Developpement durable, Bordeaux, France, (4)University of Liège, Liège, Belgium
Constructing Regional Groundwater Models from Geophysical Data of Varying Type, Age, and Quality (83600)
Anders Vest Christiansen1, Esben Auken2, Pernille Aabye Marker3, Troels N Vilhelmsen4, Nikolaj Foged4, Thomas Wernberg5 and Peter Bauer-Gottwein6, (1)Aarhus University, Department of Geoscience, Aarhus C, Denmark, (2)Aarhus University, Aarhus C, Denmark, (3)Technical University of Denmark, Department of Environmental Engineering, Lyngby, Denmark, (4)Aarhus University, Department of Geoscience, Aarhus, Denmark, (5)Alectia, Aarhus C, Denmark, (6)Technical Univ. of Denmark, Lyngby, Denmark
Constraining Subsurface Structure and Composition Using Seismic Refraction Surveys of Proglacial Valleys in the Cordillera Blanca, Peru (74881)
Robin Lee Glas1, Laura Lautz2, Jeffrey M McKenzie3, Bryan G Mark4, Emily Alyssa Baker1, Caroline Aubry-Wake5, Lauren Dorothy Somers5 and Oliver Wigmore6, (1)Syracuse University, Syracuse, NY, United States, (2)Syracuse University, Syracuse, United States, (3)McGill University, Earth and Planetary Sciences, Montreal, QC, Canada, (4)School of Earth Sciences, The Ohio State University, Columbus, OH, United States, (5)McGill University, Montreal, QC, Canada, (6)Univ. of Colorado Boulder, Inst. of Arctic and Alpine Res., Boulder, CO, United States
The data preprocessing in apparent resistivity pesudo-section construction of two-dimensional electrical resistivity tomography survey (77799)
Qiyou Zhou, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210046, China

See more of: Hydrology