Arato, A., Boaga, J., Comina, C., De Seta, M., Di Sipio, E., Galgaro, A., Giordano, N., and Mandrone, G., 2015, Geophysical monitoring for shallow geothermal applications—Two Italian case histories: First Break, 33(8), 75–79.
Archi, G. E., 1942. The electrical resitivity log as an aid in determining some reservoir charaterstics. Trans A.I.M.E., 146, 54-62.
Bechtold, M., Vanderborght, J., Weihermüller, L., Herbst, M., Günther, T., Ippisch, O., Kasteel, R., and Vereecken, H., 2012, Upward transport in a three-dimensional heterogeneous laboratory soil under evaporation conditions: Vadose Zone Journal, 11.
Binley, A., Hubbard, S. S., Huisman, J. A., Revil, A., Robinson, D. A., Singha, K., and Slater, L. D., 2015, The emergence of hydrogeophysics for improved understanding of subsurface processes over multiple scales: Water Resources Research, 51, 3837–3866.
Day-Lewis, F. D., Singha, K., and Binley, A., 2005, Applying petrophysical models to radar travel time and electrical resistivity tomograms: Resolution-dependent limitations: Journal of Geophysical Research, 110, B08206.
Deutsch, C. V., and Journel, A. G., 1992, GSLIB: Geostatistical Software Library and User's Guide: Oxford University Press, New York.
Hermans, T., Nguyen, F., Klepikova, M., Dassargues, A., and Caers, J., 2018, Uncertainty quantification of medium-term heat storage from short-term geophysical experiments using Bayesian evidential learning: Water Resources Research, 54(4), 2931-2948.
Hermans, T., Nguyen, F., Robert, T., and Revil, A., 2014, Geophysical methods for monitoring temperature changes in shallow low enthalpy geothermal systems: Energies, 7(8), 5083–5118.
Hermans, T., Oware, E., and Caers, J., 2016, Direct prediction of spatially and temporally varying physical properties from time-lapse electrical resistance data: Water Resources Research, 52(9), 7262-7283.
Koestel, J., Kemna, A., Javaux, M., Binley, A., and Vereecken, H., 2008, Quantitative imaging of solute transport in an unsaturated and undisturbed soil monolith with 3-D ERT and TDR: Water Resources Research, 44, W12411.
Laloy, E., Linde, N., and Vrugt, J. A., 2012, Mass conservative three-dimensional water tracer distribution from Markov chain Monte Carlo inversion of time-lapse ground-penetrating radar data: Water Resources Research, 48, W07510.
Linde, N., and Doetsch, J., 2016, Joint inversion in hydrogeophysics and near-surface geophysics, in Moorkamp, M., Lelievre, P. G., Linde, N., and Khan, A., eds., Integrated Imaging of the Earth: Theory and Applications: John Wiley & Sons, Inc., 117–135.
Masy, T., Caterina, D., Tromme, O., Lavigne, B., Thonart, P., Hiligsmann, S., and Nguyen, F., 2016, Electrical resistivity tomography to monitor enhanced biodegradation of hydrocarbons with Rhodococcus erythropolis T902.1 at a pilot scale: Journal of Contaminant Hydrology, 184, 1–13.
Moysey, S., Singha, K., and Knight, R., 2005, A framework for inferring field-scale rock physics relationships through numerical simulation: Geophysical Research Letters, 32, L08304.
Muller, K., Vanderborght, J., Englert, A., Kemna, A., Huisman, J. A., Rings, J., and Vereecken, H., 2010, Imaging and characterization of solute transport during two tracer tests in a shallow aquifer using electrical resistivity tomography and multilevel groundwater samplers: Water Resources Research, 46, W03502.
Oware, E. K., Moysey, S. M. J., and Khan, T., 2013, Physically based regularization of hydrogeophysical inverse problems for improved imaging of process-driven systems: Water Resources Research, 49(10), 6238-6247.
Pidlisecky, A., and Knight, R., 2008, FW2_5D: A MATLAB 2.5-D electrical resistivity modeling code: Computers & Geosciences, 34(12), 1645-1654.
Rezaei, A., Mousavi, Z., Khorrami, F., and Nankali, H., 2020, Inelastic and elastic storage properties and daily hydraulic head estimates from continuous global positioning system (GPS) measurements in northern Iran: Hydrogeology Journal, 28(2), 657-672.
Satija, A., and Caers, J., 2015, Direct forecasting of subsurface flow response from non-linear dynamic data by linear least-squares in canonical functional principal component space: Advances in Water Resources, 77, 69–81.
Singha, K., Day-Lewis, F. D., Johnson, T., and Slater, L., 2015, Advances in interpretation of subsurface processes with time-lapse electrical imaging: Hydrological Processes, 29(6), 1549–1576.
Singha, K., and Moysey, S., 2006, Accounting for spatially variable resolution in electrical resistivity tomography through field-scale rock physics relations: Geophysics, 71(4), A25–A28.
Sulzbacher, H., Wiederhold, H., Siemon, B., Grinat, M., Igel, J., Burschil, T., Günther, T., and Hinsby, K., 2012, Numerical modelling of climate change impacts on freshwater lenses on the North Sea Island of Borkum using hydrological and geophysical methods: Hydrology and Earth System Sciences, 16, 3621–3643.
Wallin, E. L., Johnson, T. C., Greenwood, W. J., and Zachara, J. M., 2013, Imaging high stage river-water intrusion into a contaminated aquifer along a major river corridor using 2-D time-lapse surface electrical resistivity tomography: Water Resources Research, 49, 1693–1708.
Whitaker, S., 1986, Flow in porous media I: a theoretical derivation of Darcy's law: Transport in Porous Media, 1, 3–25.