NDLI: A mathematical approach to find long-term strategies for the implementation of resource-orientated sanitation.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Kaufmann Alves, I.
Description	Country affiliation: Germany Author Affiliation: Kaufmann Alves I ( Institute of Urban Water Management, University of Kaiserslautern, Paul-Ehrlich-Str. 14, 67663 Kaiserslautern, Germany. inka.kaufmann_alves@bauing.uni-kl.de)
Abstract	In the present discussion of sustainability centralised water infrastructures are exposed to new challenges, which may cause a conceptual alteration in urban water management. If technologies for closing urban water and nutrient cycles are to at least partially replace existing systems, then intensive reconstruction work becomes essential. The paper presents the development and implementation of a mathematical approach to minimise environmental impact and economic costs on the way to more source-controlled future states in urban water management. To find an optimal transformation strategy, a simultaneous project scheduling and network flow problem was defined as a bi-criteria mixed-integer program. An optimal solution is found by minimising two objective functions concurrently - the economic costs and 'ecologic costs' for the period of consideration. This paper discusses the influence of the weighting of these two costs on optimal transformation strategies for a real catchment in Germany. The results show that the approach can very well support decision makers when showing all impacts of transformation processes in detail. All in all, the developed model can be seen as a first step in strategy-finding for transformations in existing urban water systems.
File Format	HTM / HTML
ISSN	02731223
Issue Number	7
Journal	Water Science & Technology
Volume Number	67
e-ISSN	19969732
Language	English
Publisher	IWA Publishing
Publisher Date	2013-01-01
Publisher Place	Great Britain (UK)
Access Restriction	Subscribed
Subject Keyword	Discipline Hydrology Models, Theoretical Sanitation Statistics & Numerical Data Waste Management Water Supply Decision Support Techniques Journal Article
Content Type	Text
Resource Type	Article
Subject	Environmental Engineering Water Science and Technology

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