Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/30600

Title: Options analysis model for water demand management
Authors: Van Rooijen, Daniel J.
Kayaga, Sam
Smout, Ian K.
Issue Date: 2011
Publisher: © WEDC, Loughborough University
Citation: VAN ROOIJEN, DANIEL J. ... et al, 2011. Options analysis model for water demand management. IN: Shaw, R.J. (ed). The future of water, sanitation and hygiene in low-income countries - Innovation, adaptation and engagement in a changing world: Proceedings of the 35th WEDC International Conference, Loughborough, UK, 6-8 July 2011, 8p.p.
Abstract: To cope with the needs of increasing urban populations amidst negative impacts of climate change will require mainstreaming water demand management (WDM) in urban water management strategies for the city of the future. There are a variety of options for WDM: urban water managers, engineers and planners need to make correct choices of the most viable options that fit within the socio-cultural, political, economic and environmental context. Ideally, these choices take into consideration the vision of the key city stakeholders and identified scenarios over the longer-term period. This paper describes a simple model developed as one of the outputs of the WDM research under the EU-sponsored SWITCH project, to be used as a decision support tool by urban engineers, planners and managers, with no skills in linear programming. The model uses a VENSIM modelling shell that is freely available on the internet. Application of this tool will make it easier to mainstream WDM options in strategic planning processes for the city of the future.
Description: This is a conference paper.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/30600
Appears in Collections:WEDC 35th International Conference

Files associated with this item:

File SizeFormat
van-Roojen-D-1219.pdf520.67 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.