Prediction of water reuse potential in South African water management areas: A linear regression and Bayesian network approach Article Swipe
Salha Mamane
,
Abiola Ayodele Abimbade
,
A. A. Ilemobade
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.17159/2309-8775/2021/v63n2a1
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.17159/2309-8775/2021/v63n2a1
Increasing scarcity of freshwater resources and growing environmental awareness have given rise to the use of treated wastewater as an additional source of water supply. However, the amount of wastewater that can be reclaimed for reuse is subject to many factors, ranging from technical to socio-economic, environmental and institutional. This paper presents two prediction models for wastewater reuse potential in South Africa. The proposed models, namely a Bayesian Network model and a Linear Regression model, were used as a platform for integrated analysis of features such as water use, and socio-demographic and environmental factors. A dataset from the sub-regions of the 19 water management areas in South Africa was employed as input into the models in order to analyse these features and to consequently predict water reuse potential.
Related Topics
Concepts
Reuse
Bayesian network
Water scarcity
Scarcity
Wastewater
Linear regression
Reclaimed water
Bayesian probability
Environmental science
Regression analysis
Water resource management
Water resources
Environmental engineering
Environmental resource management
Computer science
Environmental planning
Engineering
Machine learning
Waste management
Economics
Artificial intelligence
Ecology
Microeconomics
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17159/2309-8775/2021/v63n2a1
- http://www.scielo.org.za/pdf/jsaice/v63n2/01.pdf
- OA Status
- diamond
- Cited By
- 2
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3183651784
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3183651784Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.17159/2309-8775/2021/v63n2a1Digital Object Identifier
- Title
-
Prediction of water reuse potential in South African water management areas: A linear regression and Bayesian network approachWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-06-30Full publication date if available
- Authors
-
Salha Mamane, Abiola Ayodele Abimbade, A. A. IlemobadeList of authors in order
- Landing page
-
https://doi.org/10.17159/2309-8775/2021/v63n2a1Publisher landing page
- PDF URL
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https://www.scielo.org.za/pdf/jsaice/v63n2/01.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://www.scielo.org.za/pdf/jsaice/v63n2/01.pdfDirect OA link when available
- Concepts
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Reuse, Bayesian network, Water scarcity, Scarcity, Wastewater, Linear regression, Reclaimed water, Bayesian probability, Environmental science, Regression analysis, Water resource management, Water resources, Environmental engineering, Environmental resource management, Computer science, Environmental planning, Engineering, Machine learning, Waste management, Economics, Artificial intelligence, Ecology, Microeconomics, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
- References (count)
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38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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