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    Development of a Hybrid Index for Drought Prediction: Case Study 

    Source: Journal of Hydrologic Engineering:;2009:;Volume ( 014 ):;issue: 006
    Author(s): Mohammad Karamouz; Kabir Rasouli; Sara Nazif
    Publisher: American Society of Civil Engineers
    Abstract: Drought is a natural phenomenon that occurs in many places on the planet and may cause considerable damage. Selection of an integrated index for quantifying drought severity is a challenge for decision makers in developing ...
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    Runoff Predictions in a Semiarid Watershed by Convolutional Neural Networks Improved with Metaheuristic Algorithms and Forced with Reanalysis and Climate Data 

    Source: Journal of Hydrologic Engineering:;2023:;Volume ( 028 ):;issue: 007:;page 04023018-1
    Author(s): Yamina Aoulmi; Nadir Marouf; Kabir Rasouli; Mahdi Panahi
    Publisher: American Society of Civil Engineers
    Abstract: In this research, the role of climate variability and weather change in short-term streamflows, including extreme event, was investigated in semiarid climates. The deep learning convolutional neural networks (CNN) were ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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