Decision-Making Tools to Manage the Microbiology of Drinking Water Distribution Systems
Decision-Making Tools to Manage the Microbiology of Drinking Water Distribution Systems
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DOI：
10.3390/w12051247
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发表时间：
2020-04
期刊：
影响因子：
3.4
通讯作者：
Silvia Carpitella;Gonzalo del Olmo;J. Izquierdo;S. Husband;J. Boxall;I. Douterelo
中科院分区：
文献类型：
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作者：
Silvia Carpitella;Gonzalo del Olmo;J. Izquierdo;S. Husband;J. Boxall;I. Douterelo
本文首次将二重多准则决策(MCDM)方法应用于饮用水管网微生物管理领域。具体地说，应用了决策试验和评估实验室(DEMATEL)，消除了对专家判断的依赖，并分析了由不同管道材料组成的DWDS的水质参数和微生物特性之间的相互依赖关系。此外，按与理想溶液相似程度排序的模糊技术(FTOPSIS)根据DWDS试验中最常见的细菌的相对丰度对其进行排名，同时处理影响测量的模糊性。这里提出并验证的用于初始真实世界数据集的新的综合方法为环境条件和微生物种群的相互依赖提供了新的见解。具体地说，应用程序显示，与最显著的微生物影响相关的细菌可能不是最丰富的。这为综合管理战略提供了潜力，以促进有利的微生物条件，以帮助保障饮用水质量。
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.