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Trends in climate and urbanization and their impacts on surface water supply in the city of Addis Ababa, Ethiopia

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dc.contributor.advisor Stoffberg, G. H.
dc.contributor.advisor Tsidu, G. M.
dc.contributor.author Bisrat Kifle Arsiso
dc.date.accessioned 2018-01-09T10:17:56Z
dc.date.available 2018-01-09T10:17:56Z
dc.date.issued 2017-07
dc.date.submitted 2018-01
dc.identifier.citation Arsiso, Bisrat Kifle (2017) Trends in climate and urbanization and their impacts on surface water supply in the city of Addis Ababa, Ethiopia, University of South Africa, Pretoria, <http://hdl.handle.net/10500/23496>
dc.identifier.uri http://hdl.handle.net/10500/23496
dc.description.abstract Understanding climate change and variability at urban scale is essential for water resource management, land use planning, and development of adaption plans. However, there are serious challenges to meet these goals due to unavailability of observed and / or simulated high resolution spatial and temporal climate data. Recent efforts made possible the availability of high resolution climate data from non-hydrostatic regional climate model (RCM) and statistically downscaled General Circulation Models (GCMs). This study investigates trends in climate and urbanization and their impact on surface water supply for the city of Addis Ababa, Ethiopia. The methodology presented in this study focused on the observed and projected NIMRHadGEM2- AO model and Special Report on Emissions Scenarios (SRES) of B2 and A2 of HadCM3 model are also employed for rainfall, maximum temperature and minimum temperature data using for climate analysis. Water Evaluation and Planning (WEAP) modeling system was used for determination of climate and urbanization impacts on water. Land-Sat images were analyzed using Normalized Differencing Vegetation Index (NDVI). Statistical downscaling model (SDSM) was employed to investigate the major changes and intensity of the urban heat island (UHI). The result indicates monthly rainfall anomalies with respect to the baseline mean showing wet anomaly in summer (kiremt) during 2030s and 2050s, and a dry anomaly in the 2080s under A2 and B2 scenarios with exception of a wet anomaly in September over the city. The maximum temperature anomalies under Representative Concentration Pathways (RCPs) also show warming during near, mid and end terms. The mean monthly minimum temperature anomalies under A2 and B2 scenarios are warm but the anomalies are much lower than RCPs. The climate under the RCP 8.5 and high population growth (3.3 %) scenario will lead to the unmet demand of 462.77 million m3 by 2039. Future projection of urban heat island under emission pathway of A2 and B2 scenario shows that, the nocturnal UHI will be intense in winter or dry season episodes in the city. Under A2 scenario the highest urban warming will occur during October to December (2.5 ºC to 3.2 ºC). Under RCP 8.5 scenario the highest urban warming will occur during October to December (0.5 ºC to 1.0 °C) in the 2050s and 2080s. Future management and adaptation strategies are to expand water supply to meet future demand and to implement demand side water management systems of the city and UHI en
dc.format.extent 1 online resource (xxxii, 195 leaves) : color graphs, color maps
dc.language.iso en en
dc.subject Climate change en
dc.subject Representative Concentration Pathways (RCPs) en
dc.subject NIMR-HadGEM2-AO en
dc.subject General Circulation Models (GCMs) en
dc.subject Normalized Differencing Vegetation Index (NDVI) en
dc.subject Urban Heat Island (UHI) en
dc.subject Water Evaluation and Planning (WEAP) en
dc.subject Adaptation strategies en
dc.subject.ddc 553.7809633
dc.subject.lcsh Climatic changes -- Ethiopia -- Addis Ababa en
dc.subject.lcsh Urbanization -- Ethiopia -- Addis Ababa en
dc.subject.lcsh Water-supply -- Ethiopia -- Addis Ababa en
dc.title Trends in climate and urbanization and their impacts on surface water supply in the city of Addis Ababa, Ethiopia en
dc.type Thesis en
dc.description.department College of Agriculture and Environmental Sciences en
dc.description.degree Ph. D. (Environmental Management)


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    Electronic versions of theses and dissertations submitted to Unisa since 2003

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