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A non-parametric multi-site stochastic rainfall model with applications to climate change
Expanded Title:The planning and operation of most of the large water resource systems in South Africa has been applying a multi-site monthly streamflow generator since the 1990s but it has recently been recognized that the use of stochastic rainfall generation may hold several advantages over stochastic streamflow generation. Since rainfall is the main input into the hydrological cycle, applying stochastics on rainfall rather than streamflow is naturally more inclusive. With stochastic rainfall, probabilistic analysis can be included more realistically and easily in the analysis of catchment hydrological processes and rainfall-dependent activities such as irrigation. The impacts of climate change and increasing variability on basin hydrology and water resources can also be studied with more ease with a rainfall rather than a streamflow stochastic generator. Consequently, the Water Research Commission project contracted the University of the Witwatersrand (School of Civil and Environmental Engineering) to develop and test a monthly non-parametric stochastic rainfall generator that would comprehensively incorporate climate change and changing variability including information from global climate model (GCM) projections.
Date Published:01/03/2014
Document Type:Research Report
Document Subjects:Water Resource Management/IWRM - Hydrogeology
Document Keywords:Climate, Hydrology
Document Format:Report
Document File Type:pdf
Research Report Type:Standard
WRC Report No:2148/1/13
ISBN No:978-1-4312-0515-8
Authors:Ndiritu J; Nyaga J
Project No:K5/2148
Organizations:School of Civil & Environmental Engineering, University of the Witwatersrand
Document Size:5 117 KB
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