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Abstract
Modelling and Assessing the Spatiotemporal Changes to Future Land use and Climate Change Scenarios in the Mellegue Basin
Okba Weslati
The watershed of Mellegue, which covers 10500 km2, is a common area for Algeria and Tunisia. The catchment was chosen to predict future Land Use Land Cover (LULC) changes using GIS and remote sensing. Two future LULC scenarios have been generated using the Multi-Layer Perceptron (MLP) Markov Model of Idrisi. Afterwards we
have tried to link the future response of climate changes to the predictable LULC scenarios. With the assistance of Python, we have produced four predictive weather change models. Forecasted models were based on the historical data generated from AquaCrop software. The predictive results have revealed a significant alteration of climate as a
response for the great change that occurs in all of the LULC patterns.
