Model Predictive Control of Water Level and Salinity in Coastal Areas

Model Predictive Control of Water Level and Salinity in Coastal Areas

Aydin, B.E. (TU Delft Water Resources)

van de Giesen, N.C. (promotor)
Abraham, E. (copromotor)
Oude Essink, G. H. P. (copromotor)

Delft University of Technology

2020-08-28

POLDERS are low-lying and artificially drained areas surrounded bywater storage canals. In low-lying delta areas such as theMississippi delta in Louisiana (USA), the Ganges-Brahmaputra delta (Bangladesh), or the Rhine-Meuse delta (The Netherlands), polders experience surface water salinization problem due to saline groundwater exfiltration, which is the upward flow of saline groundwater from the subsurface. A significant increase in surface water salinization is expected globally driven by rising sea levels, leading to a decreasing freshwater availability. Land subsidence, climate change induced decrease in precipitation and sea level rise are expected to accelerate salinization of groundwater and surface water systems. To counteract surface water salinization, freshwater diverted from rivers is used for flushing the canals and ditches in coastal areas.
Sustaining freshwater-dependent agriculture in such areas will entail an increased demand for flushing, while the demand of a better water quality will tend to increase. On the other hand, freshwater usage is not explicitly considered for polder operation and results in excessive use. Decreasing the amount of freshwater usage for polder flushing can create additional supply opportunities for industrial users, drinking water companies or other irrigation systems. To meet the increasing demand for flushing due to expected increase of salinization while the freshwater availability is decreasing, new operational designs are required for polders that will use the available freshwater resources
efficiently.

Salinity control
Groundwater exfiltration
Model Predictive Control
Irrigation
Freshwater
Operational water management
Sensor Placement

https://doi.org/10.4233/uuid:7f2b90c3-d6a9-4034-9304-7e520fd992c9

Institutional Repository

doctoral thesis

© 2020 B.E. Aydin