Decision-Making Tools to Manage the Microbiology of Drinking Water Distribution Systems

This paper uses a two-fold multi-criteria decision-making (MCDM) approach applied for the first time to the field of microbial management of drinking water distribution systems (DWDS). Specifically, the decision-making trial and evaluation laboratory (DEMATEL) was applied removing the need for relia...

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Vydané v:Water (Basel) Ročník 12; číslo 5; s. 1247
Hlavní autori: Carpitella, Silvia, Del Olmo, Gonzalo, Izquierdo, Joaquín, Husband, Stewart, Boxall, Joby, Douterelo, Isabel
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: MDPI AG 01.05.2020
Predmet:
data collection
Distribution
Drinking water
Methods
multi-criteria decision making
water
Water distribution
water quality
Water quality management
Italy
ISSN:2073-4441, 2073-4441
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Shrnutí:This paper uses a two-fold multi-criteria decision-making (MCDM) approach applied for the first time to the field of microbial management of drinking water distribution systems (DWDS). Specifically, the decision-making trial and evaluation laboratory (DEMATEL) was applied removing the need for reliance on expert judgement, and analysed interdependencies among water quality parameters and microbiological characteristics of DWDS composed of different pipe materials. In addition, the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) ranked the most common bacteria identified during trials in a DWDS according to their relative abundance while managing vagueness affecting the measurements. The novel integrated approach presented and proven here for an initial real world data set provides new insights in the interdependence of environmental conditions and microbial populations. Specifically, the application shows as the bacteria having associated the most significant microbial impact may not be the most abundant. This offers the potential for integrated management strategies to promote favourable microbial conditions to help safeguard drinking water quality.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2073-4441
2073-4441
DOI:10.3390/w12051247