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    Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance

    Kazemi Alamouti H 2021.pdf (14.30Mb)
    Access Status
    Open access
    Authors
    Kazemi Alamouti, Hamideh
    Date
    2021
    Supervisor
    Ranjan Sarukkalige
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    School of Civil and Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/84108
    Collection
    • Curtin Theses
    Abstract

    The study introduces a novel framework that combines conceptual, hydrological and statistical models to study water resources on short-term and long-term scales. It improves the performance of a common conceptual model and its extended version to estimate water balance components of the case studies. Moreover, a conceptual-statistical model is developed to further increase the performance of the original models. The proposed method is a useful approach for other catchments particularly, where limited data is available.

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