Application of Meta-heuristic Methods in Drought Monitoring (Case study: Tabriz station)

Drought monitoring systems are efficient factors in providing methods for drought mitigation and its logic management. These systems are designed by using of drought indices and their goals are presenting a simple and quantitative evaluation of drought characteristics. From the many of drought indices، the standardized precipitation index is used vastly for drought monitoring. For this purpose in the present study، meta-heuristic methods such as genetic algorithm and simulated annealing algorithm were used for accurate estimation of this index in Tabriz station for 1965 to 2004. The results showed that genetic algorithm and then simulated annealing algorithm had better results، respectively، in analyzing standardized precipitation index in comparison with maximum likelihood method which was conducted to precisely monitor drought events.