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    Flash Flood Modeling Using the Artificial Neural Network (Case Study: Welang Watershed, Pasuruan District, Indonesia

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    FT_PROSIDING_Flash flood modeling using the artificial neural network_ENTIN HIDAYAH.pdf (615.8Kb)
    Date
    2020-02-08
    Author
    SUHARDI, Suhardi
    HIDAYAH, Entin
    HALIK, Gusfan
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    Abstract
    The Artificial Neural Network (ANN) has been widely used in flood modeling and has proven to be good accuracy. This research aims to flash flood modeling using ANN. The flash flood modeling was conducted at Welang Watershed, Pasuruan District, East Java, Indonesia. The input of flash flood using ANN consists of rainfall and runoff coefficient. The runoff coefficient was derived by the Normalized Difference Vegetation Index (NDVI) value from the Landsat 8 Operational Land Imager (OLI). The output ANN model was flash flood discharge. The ANN architecture model uses a backpropagation neural network. The period of training and testing model ANN using data from January to February 2017 period and November to December 2017 period, respectively. The Result of flash flood modeling with ANN showed the good of fitness pattern between output model and observation data.
    URI
    http://repository.unej.ac.id/handle/123456789/104909
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    • LSP-Conference Proceeding [1877]

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    UPA-TIK Copyright © 2024  Library University of Jember
    Contact Us | Send Feedback

    Indonesia DSpace Group :

    University of Jember Repository
    IPB University Scientific Repository
    UIN Syarif Hidayatullah Institutional Repository