Vasileios Christelis

Mr Vasileios Christelis

Groundwater/Hydrological Modeller

Location: BGS Keyworth

Tel: 0115 936 3162

E-mail Vasileios Christelis

Biography

  • 2016 – ongoing : Groundwater/Hydrological Modeller, British Geological Survey, UK
  • PhD candidate, National Technical University of Athens, Greece, Water Resources Management
  • MSc, University of Sheffield, UK, Environmental Management of Land and Water
  • 5-years degree, Democritus University of Thrace, Greece, Environmental Engineering

Key papers

  • CHRISTELIS, V, Mantoglou, A, 2017.Physics-based and data-driven surrogate models for pumping optimization of coastal aquifers. European Water 57: 481-488.
  • CHRISTELIS, V, Regis RG, Mantoglou, A, 2017. Surrogate-based pumping optimization of coastal aquifers under limited computational budgets. Journal of Hydroinformatics. doi: 10.2166/hydro.2017.063
  • Kopsiaftis, G, Tigkas, D, CHRISTELIS, V, Vangelis, H, 2017. Assessment of drought impacts on semi-arid coastal aquifers of the Mediterranean. Journal of Arid Environments. http://dx.doi.org/10.1016/j.jaridenv.2016.10.008
  • CHRISTELIS, V, Mantoglou, A, 2016. Pumping Optimization of Coastal Aquifers Assisted by Adaptive Metamodelling Methods and Radial Basis Functions. Water Resources Management. doi:10.1007/s11269-016-1337-3
  • CHRISTELIS, V, Mantoglou, A, 2016. Coastal Aquifer Management Based on the Joint use of Density-Dependent and Sharp Interface Models. Water Resources Management. doi:10.1007/s11269-015-1195-4
  • CHRISTELIS, V, Bellos, V, Tsakiris, G, 2016. Employing surrogate modelling for the calibration of a 2D flood simulation model. Sustainable Hydraulics in the Era of Global Change: Proceedings of the 4th IAHR Europe Congress, Liege
  • Tigkas, D, CHRISTELIS, V, Tsakiris, G, 2016. Comparative study of evolutionary algorithms for the automatic calibration of the Medbasin-D conceptual hydrological model. Environmental Processes. doi:10.1007/s40710-016-0147-1

Research interests

  • Coastal aquifer simulation and management
  • Simulation–Optimization methods
  • Surrogate Modelling
  • Groundwater drought modelling