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A Decision Support System for Drinking Water Production Integrating Health Risks Assessment

The issue of drinking water quality compliance in small and medium scale water services is of paramount importance in relation to the 98/83/CE European Drinking Water Directive (DWD). Additionally, concerns are being expressed over the implementation of the DWD with respect to possible impacts on wa...

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Autores principales: Delpla, Ianis, Monteith, Donald T., Freeman, Chris, Haftka, Joris, Hermens, Joop, Jones, Timothy G., Baurès, Estelle, Jung, Aude-Valérie, Thomas, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113881/
https://www.ncbi.nlm.nih.gov/pubmed/25046634
http://dx.doi.org/10.3390/ijerph110707354
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author Delpla, Ianis
Monteith, Donald T.
Freeman, Chris
Haftka, Joris
Hermens, Joop
Jones, Timothy G.
Baurès, Estelle
Jung, Aude-Valérie
Thomas, Olivier
author_facet Delpla, Ianis
Monteith, Donald T.
Freeman, Chris
Haftka, Joris
Hermens, Joop
Jones, Timothy G.
Baurès, Estelle
Jung, Aude-Valérie
Thomas, Olivier
author_sort Delpla, Ianis
collection PubMed
description The issue of drinking water quality compliance in small and medium scale water services is of paramount importance in relation to the 98/83/CE European Drinking Water Directive (DWD). Additionally, concerns are being expressed over the implementation of the DWD with respect to possible impacts on water quality from forecast changes in European climate with global warming and further anticipated reductions in north European acid emissions. Consequently, we have developed a decision support system (DSS) named ARTEM-WQ (AwaReness Tool for the Evaluation and Mitigation of drinking Water Quality issues resulting from environmental changes) to support decision making by small and medium plant operators and other water stakeholders. ARTEM-WQ is based on a sequential risk analysis approach that includes consideration of catchment characteristics, climatic conditions and treatment operations. It provides a holistic evaluation of the water system, while also assessing human health risks of organic contaminants potentially present in treated waters (steroids, pharmaceuticals, pesticides, bisphenol-a, polychlorobiphenyls, polycyclic aromatic hydrocarbons, petrochemical hydrocarbons and disinfection by-products; n = 109). Moreover, the system provides recommendations for improvement while supporting decision making in its widest context. The tool has been tested on various European catchments and shows a promising potential to inform water managers of risks and appropriate mitigative actions. Further improvements should include toxicological knowledge advancement, environmental background pollutant concentrations and the assessment of the impact of distribution systems on water quality variation.
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spelling pubmed-41138812014-07-29 A Decision Support System for Drinking Water Production Integrating Health Risks Assessment Delpla, Ianis Monteith, Donald T. Freeman, Chris Haftka, Joris Hermens, Joop Jones, Timothy G. Baurès, Estelle Jung, Aude-Valérie Thomas, Olivier Int J Environ Res Public Health Article The issue of drinking water quality compliance in small and medium scale water services is of paramount importance in relation to the 98/83/CE European Drinking Water Directive (DWD). Additionally, concerns are being expressed over the implementation of the DWD with respect to possible impacts on water quality from forecast changes in European climate with global warming and further anticipated reductions in north European acid emissions. Consequently, we have developed a decision support system (DSS) named ARTEM-WQ (AwaReness Tool for the Evaluation and Mitigation of drinking Water Quality issues resulting from environmental changes) to support decision making by small and medium plant operators and other water stakeholders. ARTEM-WQ is based on a sequential risk analysis approach that includes consideration of catchment characteristics, climatic conditions and treatment operations. It provides a holistic evaluation of the water system, while also assessing human health risks of organic contaminants potentially present in treated waters (steroids, pharmaceuticals, pesticides, bisphenol-a, polychlorobiphenyls, polycyclic aromatic hydrocarbons, petrochemical hydrocarbons and disinfection by-products; n = 109). Moreover, the system provides recommendations for improvement while supporting decision making in its widest context. The tool has been tested on various European catchments and shows a promising potential to inform water managers of risks and appropriate mitigative actions. Further improvements should include toxicological knowledge advancement, environmental background pollutant concentrations and the assessment of the impact of distribution systems on water quality variation. MDPI 2014-07-18 2014-07 /pmc/articles/PMC4113881/ /pubmed/25046634 http://dx.doi.org/10.3390/ijerph110707354 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Delpla, Ianis
Monteith, Donald T.
Freeman, Chris
Haftka, Joris
Hermens, Joop
Jones, Timothy G.
Baurès, Estelle
Jung, Aude-Valérie
Thomas, Olivier
A Decision Support System for Drinking Water Production Integrating Health Risks Assessment
title A Decision Support System for Drinking Water Production Integrating Health Risks Assessment
title_full A Decision Support System for Drinking Water Production Integrating Health Risks Assessment
title_fullStr A Decision Support System for Drinking Water Production Integrating Health Risks Assessment
title_full_unstemmed A Decision Support System for Drinking Water Production Integrating Health Risks Assessment
title_short A Decision Support System for Drinking Water Production Integrating Health Risks Assessment
title_sort decision support system for drinking water production integrating health risks assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113881/
https://www.ncbi.nlm.nih.gov/pubmed/25046634
http://dx.doi.org/10.3390/ijerph110707354
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