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Evaluation of turbidity impact on the microbiological quality of water with usage of Bayes’ theorem

机译:利用贝叶斯定理评估浊度对水的微生物质量的影响

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Water treatment technologies applied today guarantee feeding the water supply network with water of quality which meets all requirements imposed on water intended for human consumption. However, at the stage of distribution, the phenomenon of microbiological water contamination is encountered and drinking of such water may pose a threat to health of the consumers. Therefore, the World Health Organisation recommends application of management of water supply systems according to the recommended procedures of the water safety plan. It covers identification of threats as well as risk assessment and management in the entire chain of supply from source to the consumer's tap. Water quality monitoring and testing constitute the corpus of operational actions allowing to control the safety of water supplies. Essential elements of this control are microbiological parameters, because this contamination may in a short time lead to a potential threat to health and even life of the consumers. For this reason, flexible rules and procedures of water quality monitoring are sought that will ensure safety of water supplies and will not generate significant service costs. In this paper, an attempt is made to assess the microbiological threat based on the results of turbidity tests using the Bayes' theorem on the example of water supply system providing water to the inhabitants of the Silesian agglomeration.
机译:今天应用的水处理技术保证了供水网络的水质满足对人类消费用水的所有要求。然而,在分配阶段,会遇到微生物水污染的现象,饮用这种水可能对消费者的健康构成威胁。因此,世界卫生组织建议根据水安全计划的建议程序应用供水系统管理。它涵盖了从源头到消费者水龙头的整个供应链中的威胁识别以及风险评估和管理。水质监测和测试构成了操作行为的主体,可以控制供水安全。这种控制的基本要素是微生物学参数,因为这种污染可能会在短时间内导致对消费者健康甚至消费者生命的潜在威胁。因此,寻求灵活的水质监测规则和程序,以确保供水安全并且不会产生大量服务成本。在本文中,尝试通过使用贝叶斯定理的浊度测试结果评估微生物威胁,该案例以供水系统为西里西亚聚居的居民提供水为例。

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