H53M:
Data Integration, Inverse Methods, and Data Valuation Across a Range of Scales in Hydrogeophysics Posters


Submit an Abstract to this Session


Session ID#: 49486

Session Description:
The integration and inversion of hydrological and geophysical measurements have proven to improve the predictive accuracy of hydrologic models, aid in the uncertainty assessment of hydrologic parameters, and enhance the monitoring and understanding of hydrologic processes. This session solicits research that incorporates hydrological and geophysical measurements to improve the characterization and monitoring of hydrologic parameters and processes. Sought topics include, but are not limited to: innovative coupled or joint inversion strategies; novel strategies to incorporate hydrologic process information into geophysical inverse procedures; application of coupled hydrogeophysical modeling; data errors and uncertainty quantification methods; hydrogeophysical experimental design; methods for evaluation of the worth of hydrogeophysical data.
Primary Convener:  Erasmus K. Oware, University at Buffalo, Department of Geology, Buffalo, NY, United States
Conveners:  James Irving, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland and Thomas Hermans, University of Liege, Urban and Environmental Engineering, Liege, Belgium
Primary Liaison:  Erasmus K. Oware, University at Buffalo, Department of Geology, Buffalo, NY, United States
Chairs:  Erasmus K. Oware, University at Buffalo, Department of Geology, Buffalo, NY, United States and James Irving, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland
OSPA Liaison:  Thomas Hermans, University of Liege, Urban and Environmental Engineering, Liege, Belgium

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

1829 Groundwater hydrology [HYDROLOGY]
1835 Hydrogeophysics [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]
3260 Inverse theory [MATHEMATICAL GEOPHYSICS]

Abstracts Submitted to this Session:

Basis-Constrained Bayesian-McMC Difference Inversion for Geoelectrical Monitoring of a Field-Scale Heat Tracing Experiment (349331)
Erasmus K. Oware, University at Buffalo, Department of Geology, Buffalo, NY, United States, Thomas Hermans, University of Liege, Urban and Environmental Engineering, Liege, Belgium and James Irving, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland
Combined ERT and IP for mapping DNAPL source zone architecture in low-permeability media (351024)
Xueyuan Kang1, Xiaoqing Shi1, Yaping Deng1, Andre Revil2 and Jichun Wu1, (1)Nanjing University, Nanjing, China, (2)CNRS, Paris Cedex 16, France
Priors, Posteriors, and Approximations: Perspectives on Massively Parallel Cloud Computing as a Road Forward for Hydrogeophysical Inverse Problems (Invited) (455106)
Stephen M Moysey, East Carolina University, Department of Earth, Environment and Planning, Greenville, NC, United States and Alexander Charles Hanna, Clemson University, Environmental Engineering and Earth Sciences, Clemson, SC, United States
Investigation of the Robustness of Parameter Sensitivity Estimates from Different Spatial Samples (381984)
Xueli Huo1, Guo-Yue Niu2, Hoshin Gupta3, Qingyun Duan4 and Wei Gong1, (1)Beijing Normal University, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Sciences, Beijing, China, (2)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, United States, (3)The University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (4)Hohai University, Nanjing, China
Joint Uncertainty Quantification on Spatial and Global Hydrogeological Models: An Application to Danish Groundwater Management (360541)
Lijing Wang, Stanford University, Department of Earth and Planetary Sciences, Berkeley, United States, Troels N Vilhelmsen, Aarhus University, Department of Geoscience, Aarhus C, Denmark and Jef Caers, Stanford University, Earth and Planetary Sciences, Stanford, United States
Transdimensional inversion of borehole temperature profiles from the Waiwera geothermal reservoir with discrete fracture network models (405228)
Mark Somogyvari1, Michael Kühn2 and Sebastian Reich1, (1)University of Potsdam, Institute of Mathematics, Potsdam, Germany, (2)GFZ Helmholtz Center for Geosciences, Geochemistry, Potsdam, Germany
Understanding the electrical signature of root systems at different scales to improve agrogeophysical applications (391764)
Frederic Nguyen1, Sathyanarayan Rao2, Solomon Ehosioke3, Johan Alexander Huisman4, Mathieu Javaux5, Andreas Kemna6, Thomas Kremer3, Nolwenn Lesparre7,8, Maximilian Weigand9, Egon Zimmermann10 and Sarah Garre11, (1)Université de Liège, Urban and Environmental Engineering, Liege, Belgium, (2)Forschungszentrum Jülich, Jülich, Germany, (3)University of Liege, Liege, Belgium, (4)Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Jülich, Germany, (5)UC Louvain, Earth and Life Institute, Louvain-La-Neuve, Belgium, (6)University of Bonn, Institute of Geosciences, Geophysics Section, Bonn, Germany, (7)University of Strasbourg, Laboratoire d’Hydrologie et Géochimie de Strasbourg, Strasbourg, France, (8)University of Strasbourg, Strasbourg, France, (9)Department of Geophysics, Steinmann Institute, University of Bonn, Bonn, Germany, Bonn, Germany, (10)Forschungszentrum Jülich, Electronic Systems (ZEA 2), Jülich, Germany, (11)University of Liège, Liège, Belgium

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