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Application of monthly stochastic rainfall in risk-based water resources yield assessments
Expanded Title:The application of spatially correlated time-series of monthly stochastic stream flow in South African water resources planning processes is widely considered as being world leading technology. With the recent development of a Monthly Spatially-correlated Stochastic Rainfall Generator (PEGRAIM-W), the aim of this WRC research project was to assess the impact of applying stochastic rainfall from PEGRAIM-W in yield assessments for four climatically diverse water resources systems. The use of stochastic rainfall presents significant potential advantages including the explicit stochastic modelling of hydrological processes such as surface-groundwater interaction, irrigation requirements, the impacts of stream flow reduction activities and water quality in yield and planning scenario analyses. Other advantages are the potential for modelling climate change impacts on rainfall stochastically and contributing towards current initiatives to quantify uncertainty in hydrological and yield assessments. Based on the results of the research project it was concluded that the yield and assurance of supply characteristics resulting from analyses undertaking based on stochastic rainfall and stochastic stream flows compare remarkably well. In view of this finding, as well as the associated advantages mentioned earlier, it is strongly recommended that the stochastic rainfall-approach is implemented as an alternative option for undertaking risk-based water resources yield assessments in South Africa.
Date Published:01/04/2014
Document Type:Research Report
Document Subjects:R & D - Water and Energy
Document Keywords:Hydrology, Hydropower, Technology
Document Format:Report
Document File Type:pdf
Research Report Type:Standard
WRC Report No:2155/1/14
ISBN No:978-1-4312-0528-8
Authors:Haasbroek B; De Jager G; Sikosana S
Project No:K5/2155
Originator:WRC
Document Size:3 311 KB
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