Chan, T, MacDonald, MC, Kearton, A et al. (5 more authors) (2020) Climate adaptation for rural water and sanitation systems in the Solomon Islands: A community scale systems model for decision support. Science of The Total Environment, 714. 136681. ISSN 0048-9697
Abstract
Delivering water and sanitation services are challenging in data poor rural settings in developing countries. In this paper we develop a Bayesian Belief Network model that supports decision making to increase the availability of safe drinking water in five flood-prone rural communities in the Solomon Islands. We collected quantitative household survey data and qualitative cultural and environmental knowledge through community focus group discussions. We combined these data to develop our model, which simulates the state of eight water sources and ten sanitation types and how they are affected by season and extreme events. We identify how climate and current practices can threaten the availability of drinking water for remote communities. Modelling of climate and intervention scenarios indicate that water security could be best enhanced through increased rainwater harvesting (assuming proper installation and maintenance). These findings highlight how a systems model can identify links between and improve understanding of water and sanitation, community behaviour, and the impacts of extreme events. The resultant BBN provides a tool for decision support to enhance opportunities for climate resilient water and sanitation service provision.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Science of The Total Environment. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Water resource management; Bayesian belief network; Pacific Islands; Small island developing states; Climate change; Rainwater harvesting |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 May 2020 13:14 |
Last Modified: | 15 Jan 2021 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.scitotenv.2020.136681 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160137 |
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Filename: STOTEN-D-19-08601 Accepted Jan 2020 Authors Version.pdf
Licence: CC-BY-NC-ND 4.0