Hydrology: Current Research

ISSN: 2157-7587

Open Access

Khalaf S


  • Research Article
    Identification of Hydraulic Parameters of Wadi El Natrun Pliocene Aquifer Using Artificial Neural Network
    Author(s): Khalaf S, Ahmed AO, Abdalla MG and El Masry AAKhalaf S, Ahmed AO, Abdalla MG and El Masry AA

    Many techniques, approaches and tools were used in this Research to achieve the Methodology. Using artificial neural network to simultaneous hydraulic parameters is one of these techniques. Transmissivity and storativity consider the most important parameter in each aquifer due to the reality of their effect on the aquifer properties. In this research, it is assumed that the transmissivity (T) and the storativity (S), represented by coordinates (X), (Y), hydraulic head (H), and observation times (t). These variables were chosen depending on the literature review. In the present study, the hydraulic head values at each cell (H) and the location of the cells (x, y) are considered as input parameters for finding the unknown parameters. The transmissivity (T) and storativity values (S) at cells are assumed and used in the finite difference method (Forward mode.. Read More»
    DOI: 10.4172/2157-7587.1000267

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