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Coupled inverse modeling of a controlled irrigation experiment using multiple hydro-geophysical data
Institution:1. Department of Geosciences, University of Padova, Via Gradenigo 6, 35131 Padova, Italy;2. Nicholas School of the Environment, Division of Earth and Ocean Sciences, Duke University, Durham, NC 27708, USA;3. Department of Mathematics, University of Padova, Via Trieste 63, 35121 Padova, Italy;4. Department of Cultural Heritage, University of Padova, Piazza Capitaniato 7, 35139 Padova, Italy;5. Department of Agricultural, Forestry and Environmental Economics and Engineering, University of Torino, Via Leonardo da Vinci 44, 10095 Grugliasco, Torino, Italy;6. Total SA, Pau, France;1. Department of Civil Engineering, University of Ottawa, CBY D216, 161 Louis Pasteur, Ottawa, ON K1N 6N5, Canada;2. Department of Civil Engineering, University of Ottawa, CBY A114, 161 Louis Pasteur, Ottawa, ON K1N 6N5, Canada;3. Department of Civil Engineering, University of Ottawa, CBY A113, 161 Louis Pasteur, Ottawa, ON K1N 6N5, Canada;4. Department of Chemical Engineering, Qatar University, P.O. Box 2713, Doha, Qatar;1. Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India;2. Center for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India;3. Center for Transportation Systems, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India;1. Department of Mechanical Engineering, De La Salle University, Manila, Philippines;2. Department of Agricultural and Biosystems Engineering, The University of Arizona, Tucson, Arizona, USA;3. Department of Chemical Engineering, De La Salle University, Manila, Philippines;4. Center for Engineering and Sustainable Development Research, De La Salle University, Manila, Philippines
Abstract:
Keywords:Hydro-geophysical inversion  Electrical resistivity tomography  Ground-penetrating radar  Infiltration  Vadose zone
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