Drought prediction using artificial intelligence models based on climate data and soil moisture

HIGHLIGHTS

  • What: This study aims to evaluate the drought severity and duration through several conventional drought indices, obtained from the Alice Springs meteorological stations. In this study, an MLP with 300, 150, and 150 neurons in the input, output, and middle layers, respectively, was implemented. This study aimed to develop novel drought indices based on advanced soft computing models.
  • Who: Mhamd Saifaldeen Oyounalsoud from the Department of Civil and Environmental Engineering, University of Sharjah, Sharjah, United Arab have published the research work: Drought prediction using artificial intelligence models based on climate data and soil moisture, in . . .

     

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