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Assisting global rainwater harvesting practitioners: A decision support tool for tank sizing method selection under uncertainty

Vargas, David; Dominguez, Isabel; Ward, Sarah; Oviedo-Ocaña, Eduardo Ricardo

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Authors

David Vargas

Isabel Dominguez

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Dr Sarah Ward Sarah10.Ward@uwe.ac.uk
Associate Professor in Community Resilience (within CFCR)

Eduardo Ricardo Oviedo-Ocaña



Abstract

Rainwater harvesting (RWH) tank sizing can be an onerous task due to the range of available methods. This paper presents a simple, yet robust, end-user and design criteria-focused decision support tool, based on a comparison of 12 well established methods across four types (simplified, mass balance continuous simulation, cost-function and statistical). Each method was applied to two example households located in Bucaramanga, Colombia and considered uncertainty through integrated representation of demand variability, climate change, overflow and financial scenarios. Quantitative and qualitative criteria were used to assess the performance of each method. Based on the summation of these criteria, a diversified approach constituting mass balance simulation, cost-function and probabilistic methods was most suited to RWH tank sizing for houses in Bucaramanga. Global RWH practitioners now have a decision support tool to assist in selecting the best tank sizing approach for their context.

Journal Article Type Article
Publication Date Mar 1, 2019
Journal Environmental Science: Water Research and Technology
Print ISSN 2053-1400
Electronic ISSN 2053-1419
Publisher Royal Society of Chemistry
Peer Reviewed Peer Reviewed
Volume 5
Issue 3
Pages 506-520
APA6 Citation Vargas, D., Dominguez, I., Ward, S., & Oviedo-OcaƱa, E. R. (2019). Assisting global rainwater harvesting practitioners: A decision support tool for tank sizing method selection under uncertainty. Environmental Science: Water Research & Technology, 5(3), 506-520. https://doi.org/10.1039/c8ew00707a
DOI https://doi.org/10.1039/c8ew00707a
Keywords rainwater harvesting, decision support tool, modelling, Colombia
Publisher URL http://dx.doi.org/10.1039/C8EW00707A
Related Public URLs https://pubs.rsc.org/en/content/articlelanding/2019/ew/c8ew00707a/unauth#!divAbstract
Additional Information Additional Information : This is the author's accepted manuscript. The final published version is available here: http://dx.doi.org/10.1039/C8EW00707A.

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