
Journal of Water Supply: Research and TechnologyAQUA Vol 56 No 8 pp 495514 © IWA Publishing 2007 doi:10.2166/aqua.2007.068
Prioritisation of parameters influencing residential water use and wastewater flow
H. E. Jacobs and J. Haarhoff
Department of Civil Engineering, University of Stellenbosch, Private Bag X1, Matieland, 7602, South Africa hejacobs@sun.ac.za
Department of Civil Engineering Science, University of Johannesburg, P.O. Box 524, Aucklandpark, 2006, South Africa Tel.: +27 11 559 2148, Fax: +27 11 559 2395
ABSTRACT
A residential end use model (REUM) which accounts for indoor water demand, outdoor water demand, hot water demand, wastewater flow and the mass of total dissolved substances (TDS) in the wastewater, was earlier described by the authors. The integral relationship between water quality and quantity in the model allows for holistic modelling of different water demand management measures' effects. The model covers 16 independent micro-components of water use and requires numerous model parameters. This paper has the objective to prioritise the 79 parameters which remain after stripping all possible redundancy from the model in terms of their relative impact. Two ranking criteria are used: the elasticity and the sensitivity of each parameter. The results, benchmarked to a typical South African suburban residence, show that household size is the most notable parameter for modelling the indoor water demand, hot water demand and wastewater flow volume. Pan evaporation and a factor describing actual lawn irrigation in relation to theory are most notable for modelling the outdoor demand. Wastewater TDS concentration is dominated by what is added at the toilet rather than pharmaceuticals and personal care products (PPCPs) added at other entry points to the wastewater system. The methodology developed and results obtained underpin the view that effective water demand management policies can only be rationally formulated with the assistance of a comprehensive water and wastewater model based on micro-components of water use.
Keywords: residential hot water use; residential wastewater flow; residential wastewater salinity; residential water use; water demand elasticity index
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