Hydrogeophysics
Determining soil hydraulic and hydro-dispersive properties is crucial for sustainable management of water resources and agricultural land. However, assessing these properties at field-scale is difficult due to the heterogeneity of soil hydrological properties and the lack of fast in-situ measurement techniques.
I completed my PhD degree in hydrogeophysics. The main aims of my research during the PhD degree were using ERT method to monitor soil dynamic changes quantitatively and to estimate soil hydraulic parameters through the integration of geophysical observations, hydrological conceptual modelling, and in-situ calibrations. I have been working in this area after graduation toward developing efficient tool for field-scale characterization. my current focus is on using time-lapse EMI surveys in conjunction with classical laboratory and in-situ hydrological measurements with the aim of calibrating the soil hydraulic and hydro-dispersive properties and to support agrohydrological models.
My current research in hydrogeophysics is a collaboration with international team; Andrew Binley (Lancaster University, UK), Antonio Coppola (University of Basilicata, Italy), Angelo Basile (Italian National Research Council, Italy), and Fernando Santos (University of Lisbon, Portugal). we are now working on a methodology based on integration of EMI surveys and hydrological modeling inferred from water infiltration and solute transport experiments with the objective of assessing field-scale soil hydraulic and transport properties to support agrohydrological models which are required for water irrigation and soli salinization management in irrigated lands.
Related publications:
De Carlo, L., Farzamian, M., Turturro, A.C., and Caputo, M.C. 2023. Time-Lapse ERT, Moment Analysis, and Numerical Modeling for Estimating the Hydraulic Conductivity of Unsaturated Rock. Water, 15(2), 332, https://doi.org/10.3390/w15020332.
Dragonetti, G., Farzamian, M., Coppola, A., Basile, A., and Monteiro Santos, F.: In-situ estimation of soil hydraulic and hydrodispersive properties by inversion of Electromagnetic Induction measurements and soil hydrological modeling, Hydrol. Earth Syst. Sci. Discuss. 26, 5119–5136, https://doi.org/10.5194/hess-26-5119-2022.
Farzamian, M., Autovino, D., Basile, A., De Mascellis, R., Dragonetti, G., Monteiro Santos, F., Binley, A., and Coppola, A. 2021. Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling, Hydrol. Earth Syst. Sci., 25, 1509–1527, https://doi.org/10.5194/hess-25-1509-2021, 2021.
I completed my PhD degree in hydrogeophysics. The main aims of my research during the PhD degree were using ERT method to monitor soil dynamic changes quantitatively and to estimate soil hydraulic parameters through the integration of geophysical observations, hydrological conceptual modelling, and in-situ calibrations. I have been working in this area after graduation toward developing efficient tool for field-scale characterization. my current focus is on using time-lapse EMI surveys in conjunction with classical laboratory and in-situ hydrological measurements with the aim of calibrating the soil hydraulic and hydro-dispersive properties and to support agrohydrological models.
My current research in hydrogeophysics is a collaboration with international team; Andrew Binley (Lancaster University, UK), Antonio Coppola (University of Basilicata, Italy), Angelo Basile (Italian National Research Council, Italy), and Fernando Santos (University of Lisbon, Portugal). we are now working on a methodology based on integration of EMI surveys and hydrological modeling inferred from water infiltration and solute transport experiments with the objective of assessing field-scale soil hydraulic and transport properties to support agrohydrological models which are required for water irrigation and soli salinization management in irrigated lands.
Related publications:
De Carlo, L., Farzamian, M., Turturro, A.C., and Caputo, M.C. 2023. Time-Lapse ERT, Moment Analysis, and Numerical Modeling for Estimating the Hydraulic Conductivity of Unsaturated Rock. Water, 15(2), 332, https://doi.org/10.3390/w15020332.
Dragonetti, G., Farzamian, M., Coppola, A., Basile, A., and Monteiro Santos, F.: In-situ estimation of soil hydraulic and hydrodispersive properties by inversion of Electromagnetic Induction measurements and soil hydrological modeling, Hydrol. Earth Syst. Sci. Discuss. 26, 5119–5136, https://doi.org/10.5194/hess-26-5119-2022.
Farzamian, M., Autovino, D., Basile, A., De Mascellis, R., Dragonetti, G., Monteiro Santos, F., Binley, A., and Coppola, A. 2021. Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling, Hydrol. Earth Syst. Sci., 25, 1509–1527, https://doi.org/10.5194/hess-25-1509-2021, 2021.