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dc.contributor.authorKazemi Alamouti, Hamideh
dc.contributor.supervisorRanjan Sarukkaligeen_US
dc.date.accessioned2021-06-22T00:18:48Z
dc.date.available2021-06-22T00:18:48Z
dc.date.issued2021en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/84108
dc.description.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.

en_US
dc.publisherCurtin Universityen_US
dc.titleDevelopment of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balanceen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentSchool of Civil and Mechanical Engineeringen_US
curtin.accessStatusFulltext not availableen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidKazemi Alamouti, Hamideh [0000-0002-9088-0958]en_US
dc.date.embargoEnd2023-06-18


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