Abstract
In this paper, an optimisation model is developed to determine the optimal crop pattern and allocation of irrigation water under full and deficit irrigation conditions for adaptation to climate change. Climate change is considered as a global challenge with significant impacts on different aspects of social activity and on the natural environment. For this purpose, the optimisation model is applied for two study periods. The one period refer to historical data (1977–1997) and the other one refer to climate change during 2030–2050. Two climate change scenarios were used (SRES scenarios B1 and A2) – which were taken from the general circulation models (GCMs), CGCM3.1/T63. The optimisation approach is performed using a simulated annealing (SA) algorithm combined with a stochastic gradient descent technique. Given the continuous decrease of water resources availability due to climate change, the results of the optimisation model reinforce the necessity of adequate deficit irrigation practices.
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