SCADA data and the quantification of hazardous events for QMRA
(2007) In Journal of Water and Health 5. p.99-105- Abstract
- The objective of this study was to assess the use of on-line monitoring to support the QMRA at water treatment plants studied in the EU MicroRisk project. SCADA data were obtained from diary records, grab three Catchment-to-Tap Systems (CTS) along with system descriptions, sample data and deviation reports. Particular attention was paid to estimating hazardous event frequency, duration and magnitude. Using Shewart and CUSUM we identified 'change-points' corresponding to events of between 10 min and > 1 month duration in timeseries data. Our analysis confirmed it is possible to quantify hazardous event durations from turbidity, chlorine residual and pH records and distinguish them from non-hazardous variability in the timeseries dataset.... (More)
- The objective of this study was to assess the use of on-line monitoring to support the QMRA at water treatment plants studied in the EU MicroRisk project. SCADA data were obtained from diary records, grab three Catchment-to-Tap Systems (CTS) along with system descriptions, sample data and deviation reports. Particular attention was paid to estimating hazardous event frequency, duration and magnitude. Using Shewart and CUSUM we identified 'change-points' corresponding to events of between 10 min and > 1 month duration in timeseries data. Our analysis confirmed it is possible to quantify hazardous event durations from turbidity, chlorine residual and pH records and distinguish them from non-hazardous variability in the timeseries dataset. The durations of most 'events' were short-term (0.5-2.3 h). These data were combined with QMRA to estimate pathogen infection risk arising from such events as chlorination failure. its interpretation was While analysis of SCADA data alone could identify events provisionally, severely constrained in the absence of diary records and other system information. SCADA data analysis should only complement traditional water sampling, rather than replace it. More work on on-line data management, quality control and interpretation is needed before it can be used for event characterization routinely for event characterrisation. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/654291
- author
- Nilsson, Per LU ; Roser, D. ; Thorwaldsdotter, Rebecka ; Petterson, S. ; Davies, C. ; Signor, R. ; Bergstedt, O. and Ashbolt, N.
- organization
- publishing date
- 2007
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- timeseries, quality control, hazardous events, QMRA, SCADA
- in
- Journal of Water and Health
- volume
- 5
- pages
- 99 - 105
- publisher
- I W A Publishing
- external identifiers
-
- wos:000250229800008
- scopus:35548978564
- ISSN
- 1477-8920
- DOI
- 10.2166/wh.2007.138
- language
- English
- LU publication?
- yes
- id
- fc323181-ffa4-4d87-98c3-fb9c9fae8e5b (old id 654291)
- date added to LUP
- 2016-04-01 16:54:02
- date last changed
- 2022-01-28 22:55:47
@article{fc323181-ffa4-4d87-98c3-fb9c9fae8e5b,
abstract = {{The objective of this study was to assess the use of on-line monitoring to support the QMRA at water treatment plants studied in the EU MicroRisk project. SCADA data were obtained from diary records, grab three Catchment-to-Tap Systems (CTS) along with system descriptions, sample data and deviation reports. Particular attention was paid to estimating hazardous event frequency, duration and magnitude. Using Shewart and CUSUM we identified 'change-points' corresponding to events of between 10 min and > 1 month duration in timeseries data. Our analysis confirmed it is possible to quantify hazardous event durations from turbidity, chlorine residual and pH records and distinguish them from non-hazardous variability in the timeseries dataset. The durations of most 'events' were short-term (0.5-2.3 h). These data were combined with QMRA to estimate pathogen infection risk arising from such events as chlorination failure. its interpretation was While analysis of SCADA data alone could identify events provisionally, severely constrained in the absence of diary records and other system information. SCADA data analysis should only complement traditional water sampling, rather than replace it. More work on on-line data management, quality control and interpretation is needed before it can be used for event characterization routinely for event characterrisation.}},
author = {{Nilsson, Per and Roser, D. and Thorwaldsdotter, Rebecka and Petterson, S. and Davies, C. and Signor, R. and Bergstedt, O. and Ashbolt, N.}},
issn = {{1477-8920}},
keywords = {{timeseries; quality control; hazardous events; QMRA; SCADA}},
language = {{eng}},
pages = {{99--105}},
publisher = {{I W A Publishing}},
series = {{Journal of Water and Health}},
title = {{SCADA data and the quantification of hazardous events for QMRA}},
url = {{http://dx.doi.org/10.2166/wh.2007.138}},
doi = {{10.2166/wh.2007.138}},
volume = {{5}},
year = {{2007}},
}