Literature DB >> 19809138

Decision support systems in water and wastewater treatment process selection and design: a review.

M A Hamouda1, W B Anderson, P M Huck.   

Abstract

The continuously changing drivers of the water treatment industry, embodied by rigorous environmental and health regulations and the challenge of emerging contaminants, necessitates the development of decision support systems for the selection of appropriate treatment trains. This paper explores a systematic approach to developing decision support systems, which includes the analysis of the treatment problem(s), knowledge acquisition and representation, and the identification and evaluation of criteria controlling the selection of optimal treatment systems. The objective of this article is to review approaches and methods used in decision support systems developed to aid in the selection, sequencing of unit processes and design of drinking water, domestic wastewater, and industrial wastewater treatment systems. Not surprisingly, technical considerations were found to dominate the logic of the developed systems. Most of the existing decision-support tools employ heuristic knowledge. It has been determined that there is a need to develop integrated decision support systems that are generic, usable and consider a system analysis approach.

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Year:  2009        PMID: 19809138     DOI: 10.2166/wst.2009.538

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  2 in total

1.  Operator decision support system for integrated wastewater management including wastewater treatment plants and receiving water bodies.

Authors:  Minsoo Kim; Yejin Kim; Hyosoo Kim; Wenhua Piao; Changwon Kim
Journal:  Environ Sci Pollut Res Int       Date:  2016-02-19       Impact factor: 4.223

2.  Facilitating knowledge transfer: decision support tools in environment and health.

Authors:  Hai-Ying Liu; Alena Bartonova; Panagiotis Neofytou; Aileen Yang; Michael J Kobernus; Emanuele Negrenti; Christos Housiadas
Journal:  Environ Health       Date:  2012-06-28       Impact factor: 5.984

  2 in total

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