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An integrated framework for selecting and evaluating the performance of stormwater harvesting options to supplement existing water supply systems

Dandy, GC, Marchi, A, Maier, HR, Kandulu, J, Hatton MacDonald, DA ORCID: 0000-0003-1374-9128 and Ganji, A 2019 , 'An integrated framework for selecting and evaluating the performance of stormwater harvesting options to supplement existing water supply systems' , Environmental Modelling and Software , doi: 10.1016/j.envsoft.2019.104554.

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Abstract

Existing water resources are under stress due to increasing demands associated with population and economic growth as well as the effects of climate change which can reduce available supply and increase demand. Alternative sources such as stormwater harvesting and treatedwastewater are being considered in many cities to supplement existing water supplies.Stormwater harvesting schemes that supplement existing water supply systems are complex asthey consist of an integrated set of components that perform the functions of collection, storage,treatment, distribution and discharge. Many options and possible sizes exist for each component. Furthermore, the selection and evaluation of stormwater harvesting schemes needto consider economic, environmental and social criteria, as well as technical feasibility. In orderto deal with this complexity, an integrated framework is presented that assists authorities withdetermining if stormwater harvesting is preferable to other water sources and, if so, what typeof stormwater scheme is best.

Item Type: Article
Authors/Creators:Dandy, GC and Marchi, A and Maier, HR and Kandulu, J and Hatton MacDonald, DA and Ganji, A
Keywords: framework, stormwater harvesting, multi-criteria analysis, benefit-cost analysis, environmental impact, social impact, alternative water sources, cost, energy and greenhouse gas emission database
Journal or Publication Title: Environmental Modelling and Software
Publisher: Elsevier Ltd
ISSN: 1873-6726
DOI / ID Number: 10.1016/j.envsoft.2019.104554
Copyright Information:

© 2019 Elsevier Ltd. All rights reserved.

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