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Publikācija: Detection of Drinking Water Contamination Event with Mahalanobis Distance Method

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity National Research Programme
Defending: ,
Publication language English (en)
Title in original language Detection of Drinking Water Contamination Event with Mahalanobis Distance Method, Using On-line Monitoring Sensors and Manual Measurements Data
Field of research 2. Engineering and technology
Sub-field of research 2.1. Construction and transportation engineering
Research platform None
Authors Sandis Dejus
Alīna Neščerecka
Girts Kurcalts
Tālis Juhna
Keywords contamination detection, drinking water quality, early warning systems, online monitoring
Abstract Concerns about drinking water quality contamination during water distribution raise a need for real-time monitoring and rapid contamination detection. Early warning systems (EWS) are potential solution. The early warning systems consist of multiple conventional sensors that provide the real-time measurements and algorithms that allow recognizing contamination events from the normal operating conditions. In most of the cases, these algorithms have been established with artificial data, while data from real and biological contamination events are limited. The goal of the study was the event detection performance of the Mahalanobis distance method in combination with on-line DW quality monitoring sensors and manual measurements of grab samples for potential drinking water (DW) biological contamination scenarios. In this study three contamination scenarios were simulated in pilot scale drinking water distribution system: untreated river water, groundwater and wastewater intrusion, which represent realistic contamination scenarios and imply biological contamination. Temperature, electrical conductivity (EC), total organic carbon (TOC), chlorine ion (Cl-), oxidation-reduction potential (ORP), pH sensors and turbidity measurements were used as on-line sensors and for manual measurements. Novel adenosine-triphosphate and flow cytometric measurements were used for biological water quality evaluation. The results showed contamination detection probability from 56 % to 89 %, where the best performance was obtained with manual measurements. The probability of false alarm was 5–6 % both for on-line and manual measurements. Mahalanobis distance method with DW quality sensors has a good potential to be applied in EWS. However, sustainability of the on-line measurement system and/or the detection algorithm should be improved.
DOI: 10.2166/ws.2018.039
Hyperlink: https://iwaponline.com/ws/article-abstract/18/6/2133/39323/Detection-of-drinking-water-contamination-event?redirectedFrom=fulltext 
Reference Dejus, S., Neščerecka, A., Kurcalts, G., Juhna, T. Detection of Drinking Water Contamination Event with Mahalanobis Distance Method, Using On-line Monitoring Sensors and Manual Measurements Data. Water Science and Technology: Water Supply, 2018, Vol. 18, No. 6, pp.2133-2141. ISSN 1606-9749. Available from: doi:10.2166/ws.2018.039
Additional information Citation count:
ID 27710