Dr Ali Shokri
Lecturer in Civil Engineering
Qualifications: PhD, MEng, BEng
My research mostly focuses on hydrodynamics in porous mediums and developing integrated surface/subsurface flow codes and numerical models. More specifically, I am interested in shallow groundwater systems, hillslope hydrology, land surface recharge estimation, distributed hydrological models, and impacts of land-use change on groundwater systems.
Also, I am interested in understanding how water and soil in saturated and unsaturated zones behave to a drainage system. I am the developer of DrainFlow software, a fully-distributed-coupled surface/subsurface flow model, specifically designed for studying the impact of drains and submerged tunnels in saturated and unsaturated zones.
At the moment, I am working on an adapted form of Saint-Venant equations for groundwater flow. The goal is to escape using any Darcy-based equations and develop a general water flow equation. The outcome of the research will result in a unification of surface water and groundwater equations.
Engineering; Fluid Mechanics
Hydrology, Geotechnical Engineering, Water Engineering, Groundwater-surface water interaction
Shokri, A. (2017). A comparison between the DrainFlow and SCS-CN methods in rainfall-runoff modelling. In Water New Zealand Conference & Expo 2017.
Shokri, A. (2017). Evaluation of SCS-CN method using a fully distributed physically based coupled surface-subsurface flow model. In Geophysical Research Abstracts Vol. 19. Conference held Vienna, Austria: European Geosciences Union.
Shokri, A., Pittari, A., & Bardsley, W. E. B. (2017). Perched and leaky layers in complex surface-subsurface flow environments: the Kawerau shallow groundwater aquifer (New Zealand). Journal of Hydrology (NZ), 56(1), 47-58.
Shokri, A., & Bardsley, W. E. (2016). Development, testing and application of DrainFlow: A fully distributed integrated surface-subsurface flow model for drainage study. Advances in Water Resources, 92, 299-315. doi:10.1016/j.advwatres.2016.04.013 Open Access version: https://hdl.handle.net/10289/11628
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Phone: +64 7 838 4389