Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance
dc.contributor.author | Kazemi Alamouti, Hamideh | |
dc.contributor.supervisor | Ranjan Sarukkalige | en_US |
dc.date.accessioned | 2021-06-22T00:18:48Z | |
dc.date.available | 2021-06-22T00:18:48Z | |
dc.date.issued | 2021 | en_US |
dc.identifier.uri | http://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.publisher | Curtin University | en_US |
dc.title | Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | School of Civil and Mechanical Engineering | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |
curtin.contributor.orcid | Kazemi Alamouti, Hamideh [0000-0002-9088-0958] | en_US |