Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance
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...
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| Format: | Thesis |
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Curtin University
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/84108 |
| _version_ | 1848764618863804416 |
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| author | Kazemi Alamouti, Hamideh |
| author_facet | Kazemi Alamouti, Hamideh |
| author_sort | Kazemi Alamouti, Hamideh |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:22:14Z |
| format | Thesis |
| id | curtin-20.500.11937-84108 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:22:14Z |
| publishDate | 2021 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-841082023-05-15T06:23:32Z Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance Kazemi Alamouti, Hamideh 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. 2021 Thesis http://hdl.handle.net/20.500.11937/84108 Curtin University fulltext |
| spellingShingle | Kazemi Alamouti, Hamideh Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance |
| title | Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance |
| title_full | Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance |
| title_fullStr | Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance |
| title_full_unstemmed | Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance |
| title_short | Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance |
| title_sort | development of a hybrid conceptual-statistical framework to evaluate catchment-scale water balance |
| url | http://hdl.handle.net/20.500.11937/84108 |