Multi-model Ensemble Approach for the Assessment of Climate Change Impacts on Water Resources
This research investigates the impact of climate change on water resources using a multi-model ensemble approach through rainfall-runoff projection for A2 and B1 emission scenarios of IPCC (AR4) for mid (2046-2065) and late (2081-2100) century in selected catchments of Western Australia. A bias cor...
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| Format: | Thesis |
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Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/59630 |
| _version_ | 1848760527449227264 |
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| author | Islam, Syed Ataharul |
| author_facet | Islam, Syed Ataharul |
| author_sort | Islam, Syed Ataharul |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This research investigates the impact of climate change on water resources using a multi-model ensemble approach through rainfall-runoff projection for A2 and B1 emission scenarios of IPCC (AR4) for mid (2046-2065) and late (2081-2100) century in selected catchments of Western Australia. A bias correction method is also developed to correct projected runoff and a framework for extended hydrologic prediction (EHP) system is outlined. The findings are expected to be beneficial for planning future water resources. |
| first_indexed | 2025-11-14T10:17:12Z |
| format | Thesis |
| id | curtin-20.500.11937-59630 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:17:12Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-596302020-11-23T02:18:18Z Multi-model Ensemble Approach for the Assessment of Climate Change Impacts on Water Resources Islam, Syed Ataharul This research investigates the impact of climate change on water resources using a multi-model ensemble approach through rainfall-runoff projection for A2 and B1 emission scenarios of IPCC (AR4) for mid (2046-2065) and late (2081-2100) century in selected catchments of Western Australia. A bias correction method is also developed to correct projected runoff and a framework for extended hydrologic prediction (EHP) system is outlined. The findings are expected to be beneficial for planning future water resources. 2017 Thesis http://hdl.handle.net/20.500.11937/59630 Curtin University fulltext |
| spellingShingle | Islam, Syed Ataharul Multi-model Ensemble Approach for the Assessment of Climate Change Impacts on Water Resources |
| title | Multi-model Ensemble Approach for the Assessment of Climate Change Impacts on Water Resources |
| title_full | Multi-model Ensemble Approach for the Assessment of Climate Change Impacts on Water Resources |
| title_fullStr | Multi-model Ensemble Approach for the Assessment of Climate Change Impacts on Water Resources |
| title_full_unstemmed | Multi-model Ensemble Approach for the Assessment of Climate Change Impacts on Water Resources |
| title_short | Multi-model Ensemble Approach for the Assessment of Climate Change Impacts on Water Resources |
| title_sort | multi-model ensemble approach for the assessment of climate change impacts on water resources |
| url | http://hdl.handle.net/20.500.11937/59630 |