Worldwide, delta areas are under stress due to climate change. With rising sea levels and decreasing freshwater availability, surface water salinization due to groundwater exfiltration is expected to increase in these low-lying areas. To counteract surface water salinization, freshwater diverted from rivers is used to flush agricultural ditches. In this paper, we demonstrate a Model Predictive Control (MPC) scheme to control salinity and water levels in a water course while minimizing freshwater usage. A state space description of the discretized De Saint Venant and advection-dispersion equations for water and salt transport, respectively, is used as the internal model of the controller. The developed MPC scheme is tested using groundwater exfiltration data from two different representative Dutch polders. The tests demonstrate that water levels and salinity concentrations can successfully be controlled within set limits while minimizing the freshwater used.
1.Delft Univ Technol, Dept Water Management, NL-2628 CN Delft, Netherlands 2.Deltares, Dept Subsurface & Groundwater, POB 85467, NL-3508 AL Utrecht, Netherlands 3.Univ Utrecht, Dept Phys Geog, NL-3584 CS Utrecht, Netherlands
Recommended Citation:
Aydin, Boran Ekin,Tian, Xin,Delsman, Joost,et al. Optimal salinity and water level control of water courses using Model Predictive Control[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2019-01-01,112:36-45