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dc.contributor.authorKazemi Alamouti, Hamideh
dc.contributor.supervisorRanjan Sarukkaligeen_US

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.

dc.publisherCurtin Universityen_US
dc.titleDevelopment of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balanceen_US
curtin.departmentSchool of Civil and Mechanical Engineeringen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidKazemi Alamouti, Hamideh [0000-0002-9088-0958]en_US

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