فهرس المقالات زیرحوضه قره‌سو

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  1 - Evaluation of the efficiency of AWBM model using genetic algorithm and shuffled complex evolution algorithm in simulation of rainfall-runoff process (Case study: Qarasu basin)
  آتنا خلیلی نفت چالی محسن پوررضا بیلوندی
  In arid region in Iran with the shortage of water in a large part of the country, given the importance of controlling surface water, it is needed to identify and model the basin response to rainfall for long-term planning of the potential of the basin. In this study, th أکثر

  In arid region in Iran with the shortage of water in a large part of the country, given the importance of controlling surface water, it is needed to identify and model the basin response to rainfall for long-term planning of the potential of the basin. In this study, the AWBN is employed to model rainfall-runoff process, using genetic and shuffled complex evolution algorithms as optimization approaches in Qarasu basin located in the northwest of Karkheh basin. For this purpose, rainfall, potential evapotranspiration and runoff data were used. To compare the results, the statistics of root mean square error, correlation coefficient and Nash–Sutcliffe efficiency were assessed. The results showed that both optimization methods in this basin have acceptable evaluation criteria, but the genetic algorithm method with correlation coefficient 0.7, Nash-Sutcliffe efficiency 0.67 and an root mean square error 8.75 in the validation period give a better solution. It was also observed that this algorithm performs better in simulating low flows than high flows. تفاصيل المقالة