PhD, Environmental Engineering and Science, Clemson University – 2014

Dr. Oware’s research interest is in the application of geophysical tools for hydrogeological and agricultural applications. The group employs geophysical methods, such as electrical resistivity (ER), electromagnetic induction, and ground penetrating radar (GPR) to non-invasively characterize subsurface parameters and processes. Our major research objectives are in the development of innovative geostatistical inverse modeling strategies to advance the characterization/monitoring of aquifer hydraulic properties and flow and transport processes in highly heterogeneous/fractured aquifer systems, through numerical, laboratory, and field-scale experiments.

• GLY 325 – Geophysics
• GLY 414/514 – Hydrogeology
• GLY 419/519 – Environmental Geophysics
• GLY 429/529 - Analysis of Geologic Data 
• GLY 499 – Independent Study
• GLY 633 – Graduate Research
• GLY 700 – Thesis Guidance

1. Oware, E. K., J. Irving, and T. Hermans (2019), Basis-constrained Bayesian McMC difference inversion for geoelectrical monitoring of hydrogeological processes, Geophysics [pdf]
2. Kharel, P., A. Maresma, K.J. Czymmek, E.K. Oware, and Q.M. Ketterings (2019), Combining spatial and temporal corn yield variability for development of management zones, Agronomy Journal [pdf]
3. Oware, E.K. , W. Haines, J. Ringland, T. Kharel, K. Czymmek, and Q. Ketterings (2019), Probabilistic prediction of soil nitrogen supply potential of a corn field from electromagnetic induction. Research Highlight in the SEG Near-Surface Geophysics Q2 Newsletter. [pdf]
4. *Fontaine, J.M., J. Fentzke*, E.K. Oware, E. Doe, S. Guug, and J.W. Lane (2019), Development of a precision irrigation framework to facilitate smallholder dry-season farming in developing countries: A case study in northern Ghana. SEG Technical Program, Expanded Abstracts, San Antonio 2019, pp. 1-5. [pdf]
5. Oware, E.K. , J. Caers, and T. Hermans (in-review), Efficient probabilistic hydrogeophyiscal prediction using maximum covariance analysis based metamodel of the forward problem, Geophysical Research Letters. [pdf]
6. Oware, E.K. , M. Awatey, T. Hermans, J. Irving (2018), Basis-Constrained Bayesian-McMC: Hydrologic Process Parameterization of Stochastic Geoelectrical Imaging of Solute Plumes. SEG Technical Program, Expanded Abstracts, Anaheim 2018, pp. 1-5. [pdf]
7. *Fontaine, J.M., A. Percy*, E.K. Oware, P. Bosompemaa, V. Gbedzi, and J.W. Lane (2018), Application of electromagnetic induction to develop a precision irrigation framework to facilitate smallholder dry season farming in the Nasia-Kparigu area of northern Ghana. SEG Technical Program, Expanded Abstracts, Anaheim 2018, pp. 1-5. [pdf]
8. Hermans, T., E.K. Oware, J. Caers (2016), Direct prediction of spatially and temporally varying physical properties from time‐lapse electrical resistance data. Water Resources Research. [pdf]
9. Oware E.K. (2016), Estimation of hydraulic conductivities using higher-order MRF-based stochastic joint inversion of hydrogeophysical measurements: The Leading Edge (Society of Exploration Geophysicists). [pdf]
10. Oware E.K. and S.M.J. Moysey (2014), Geophysical evaluation of solute plume spatial moments using an adaptive POD algorithm for electrical resistivity imaging. Journal of Hydrology 517, 471-480 [pdf].
11. Oware E.K., S.M.J. Moysey, and T. Khan (2013), Physically based regularization of hydrogeophysical inverse problems for improved imaging of process‐driven systems. Water Resources Research 49 (10), 6238-6248 [pdf].
12. Oware E.K., S.M.J. Moysey, and T. Khan (2012), Improved imaging of electrically conductive solute plumes using a new strategy for physics-based regularization of resistivity imaging problems. SEG Technical Program, Expanded Abstracts 2012, pp. 1-6 [pdf].