Improving Root Cause Analysis of Bacteriological ...


Variations in spot-sampled and continuously-monitored water quality data were assessed to determine whether they could be linked to regulatory coliform failures. Data were available from raw water to the final monitoring point at water treatment works (WTW)-B and included climate, physico-chemical and bacteriological data. These were analysed using cross-correlation and self-organising maps in MATLABĀ®. The results highlighted rainfall and upstream coliforms and turbidity as important factors in the coliform failures. Further examination showed that failures correlated with low turbidity and low coliform loading, but relatively high rainfall. This outcome could be used to improve bacteriological compliance at WTW-B and similar sites.

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Field Value
Last updated June 16, 2016
Created June 16, 2016
Format PDF
License Creative Commons Attribution
created over 4 years ago
format PDF
id 2d5b71c1-f49c-457c-8577-f13fa9ae6037
openAccess false
package id b0b32b0f-aa1a-43fe-9de8-0d6fcc872fb8
position 59
revision id f0a5a351-7af0-466a-aa97-47988e9757d6
state active
tags Bacteriological water quality,data analysis,monitoring data,proactive failure prevention,Bacteriological water quality,data analysis,monitoring data,proactive failure prevention
topic Quality of water
type Conference Paper
year 2,015