Attribution of the 2015-2016 hydrological drought in KwaZulu-Natal to anthropogenic climate change
dc.contributor.advisor | Wolski, Piotr | |
dc.contributor.author | Karlie, Makeya | |
dc.date.accessioned | 2021-01-05T06:27:43Z | |
dc.date.available | 2021-01-05T06:27:43Z | |
dc.date.issued | 2020 | |
dc.description.abstract | In 2015-2016 Kwa-Zulu Natal (KZN) and other provinces in South Africa suffered from drought conditions. Drought can have negative impacts on the environment, society and the economy. Climate change is predicted to exacerbate extreme events such as droughts that would adversely affect already vulnerable regions such as KZN. The main aim of this study is to implement the attribution procedure, to determine if climate change has contributed to the 2015-2016 hydrological drought in selected KZN catchments. Methodology of the study followed a general framework of implementation of hydrological attribution experiments with climate data obtained from attribution simulations with HadAM3p global climate model. Prior to simulations in attribution mode, QSWAT model was set up for the study area and calibrated using SWAT-CUP and SUFI-2. Calibration results were poor but the model could be applied in the context of this study, under certain constraints. Results of attribution experiments revealed that for all 3 subbasins studied no increase of risk was observed and hence no influence of climate change on the 2015-2016 magnitude of drought for selected catchments was concluded by this study. These results are limited, as they are based on climate attribution experiments with only one climate model, rather than with a multi-model ensemble. Also, QSWAT model, in its implementation with generic climate data is of limited use in attribution (or hydrological) simulations as even after calibration the model performs poorly. | |
dc.identifier.apacitation | Karlie, M. (2020). <i>Attribution of the 2015-2016 hydrological drought in KwaZulu-Natal to anthropogenic climate change</i>. (Master Thesis). University of Cape Town. Retrieved from http://hdl.handle.net/11427/32512 | en_ZA |
dc.identifier.chicagocitation | Karlie, Makeya. <i>"Attribution of the 2015-2016 hydrological drought in KwaZulu-Natal to anthropogenic climate change."</i> Master Thesis., University of Cape Town, 2020. http://hdl.handle.net/11427/32512 | en_ZA |
dc.identifier.citation | Karlie, M. 2020. Attribution of the 2015-2016 hydrological drought in KwaZulu-Natal to anthropogenic climate change. Master Thesis. University of Cape Town. http://hdl.handle.net/11427/32512 | en_ZA |
dc.identifier.ris | TY - Master Thesis AU - Karlie, Makeya AB - In 2015-2016 Kwa-Zulu Natal (KZN) and other provinces in South Africa suffered from drought conditions. Drought can have negative impacts on the environment, society and the economy. Climate change is predicted to exacerbate extreme events such as droughts that would adversely affect already vulnerable regions such as KZN. The main aim of this study is to implement the attribution procedure, to determine if climate change has contributed to the 2015-2016 hydrological drought in selected KZN catchments. Methodology of the study followed a general framework of implementation of hydrological attribution experiments with climate data obtained from attribution simulations with HadAM3p global climate model. Prior to simulations in attribution mode, QSWAT model was set up for the study area and calibrated using SWAT-CUP and SUFI-2. Calibration results were poor but the model could be applied in the context of this study, under certain constraints. Results of attribution experiments revealed that for all 3 subbasins studied no increase of risk was observed and hence no influence of climate change on the 2015-2016 magnitude of drought for selected catchments was concluded by this study. These results are limited, as they are based on climate attribution experiments with only one climate model, rather than with a multi-model ensemble. Also, QSWAT model, in its implementation with generic climate data is of limited use in attribution (or hydrological) simulations as even after calibration the model performs poorly. DA - 2020 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PY - 2020 T1 - Attribution of the 2015-2016 hydrological drought in KwaZulu-Natal to anthropogenic climate change TI - Attribution of the 2015-2016 hydrological drought in KwaZulu-Natal to anthropogenic climate change UR - http://hdl.handle.net/11427/32512 ER - | en_ZA |
dc.identifier.uri | http://hdl.handle.net/11427/32512 | |
dc.identifier.vancouvercitation | Karlie M. Attribution of the 2015-2016 hydrological drought in KwaZulu-Natal to anthropogenic climate change. [Master Thesis]. University of Cape Town, 2020 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/32512 | en_ZA |
dc.language.iso | eng | |
dc.publisher | University of Cape Town | |
dc.publisher.department | African Climate and Development Initiative | |
dc.publisher.faculty | Faculty of Science | |
dc.subject.other | Climate Change and Sustainable Development | |
dc.subject.other | Event attribution | |
dc.subject.other | anthropogenic climate change | |
dc.subject.other | hydrological drought | |
dc.subject.other | extreme event | |
dc.title | Attribution of the 2015-2016 hydrological drought in KwaZulu-Natal to anthropogenic climate change | |
dc.type | Master Thesis | |
dc.type.qualificationlevel | Masters | |
dc.type.qualificationname | MSc | |
uct.type.publication | Research | |
uct.type.resource | Master Thesis |
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