{"title":"Prediction of water reuse potential in South African water management areas: A linear regression and Bayesian network approach","authors":"S. Mamane, A. Abimbade, A. Ilemobade","doi":"10.17159/2309-8775/2021/v63n2a1","DOIUrl":null,"url":null,"abstract":"ABSTRACT 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. Keywords: water reuse, wastewater recycling, Bayesian network, linear regression","PeriodicalId":54762,"journal":{"name":"Journal of the South African Institution of Civil Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the South African Institution of Civil Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.17159/2309-8775/2021/v63n2a1","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT 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. Keywords: water reuse, wastewater recycling, Bayesian network, linear regression
期刊介绍：
The Journal of the South African Institution of Civil Engineering publishes peer reviewed papers on all aspects of Civil Engineering relevant to Africa. It is an open access, ISI accredited journal, providing authoritative information not only on current developments, but also – through its back issues – giving access to data on established practices and the construction of existing infrastructure. It is published quarterly and is controlled by a Journal Editorial Panel.
The forerunner of the South African Institution of Civil Engineering was established in 1903 as a learned society aiming to develop technology and to share knowledge for the development of the day. The minutes of the proceedings of the then Cape Society of Civil Engineers mainly contained technical papers presented at the Society''s meetings. Since then, and throughout its long history, during which time it has undergone several name changes, the organisation has continued to publish technical papers in its monthly publication (magazine), until 1993 when it created a separate journal for the publication of technical papers.
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