Climate change is expected to cause significant changes to the hydrology of lakes, reservoirs and other wetlands. In particular, there will be an increase in the level of disturbance produced by water-level fluctuations. An unstructured grid, finite volume model has been used to simulate the water level of Aguelmam Sidi Ali Lake (Morocco), with observed field data being used for model calibration and validation. The different hydrological conditions regarding lake input and output data were tested and water depth was calculated using bathymetry to predict water-level fluctuations in the future. The results predict that the water-level will decrease continuously. The lake will be dried up in about 20 years if very dry conditions continue in the region. Finally, the main objective of this simulation method is to accelerate and facilitate of systems' behavior learning in the current and future situation.