Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Alarm characteristics for a flood warning system with deterministic components

Beckman, Stig-Inge ; Holst, Jan LU and Lindgren, Georg LU orcid (1990) In Journal of Time Series Analysis 11(1). p.1-18
Abstract
A method for evaluating a predictor-based alarm system is studied in this paper. The predictor is composed of a deterministic component reflecting external information and a statistically based component for the error between the measurements and the external predictor. The aim of the predictor study is twofold: it is a means of interpreting the connections between the alarm and the catastrophe, and it can be used to select suitable alarm levels. As an application, the performance of a water-level predictor as part of a flood warning system has been evaluated. The result of this analysis shows that an alarm system which operates when the predictor reaches a certain level will tend to give either too many alarms or alarms that are out of... (More)
A method for evaluating a predictor-based alarm system is studied in this paper. The predictor is composed of a deterministic component reflecting external information and a statistically based component for the error between the measurements and the external predictor. The aim of the predictor study is twofold: it is a means of interpreting the connections between the alarm and the catastrophe, and it can be used to select suitable alarm levels. As an application, the performance of a water-level predictor as part of a flood warning system has been evaluated. The result of this analysis shows that an alarm system which operates when the predictor reaches a certain level will tend to give either too many alarms or alarms that are out of phase with the catastrophe.'' (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
flood warning system, modelling, alarm system, Prediction, performance evaluation, level crossing, extremes.
in
Journal of Time Series Analysis
volume
11
issue
1
pages
1 - 18
publisher
Wiley-Blackwell
external identifiers
  • scopus:84981456229
ISSN
0143-9782
DOI
10.1111/j.1467-9892.1990.tb00038.x
language
English
LU publication?
yes
id
14fe3f9e-8b1a-4be3-80a5-977305a934fa (old id 1214782)
alternative location
http://www3.interscience.wiley.com/cgi-bin/fulltext/119844348/PDFSTART
date added to LUP
2016-04-01 11:50:50
date last changed
2021-01-03 04:11:30
@article{14fe3f9e-8b1a-4be3-80a5-977305a934fa,
  abstract     = {{A method for evaluating a predictor-based alarm system is studied in this paper. The predictor is composed of a deterministic component reflecting external information and a statistically based component for the error between the measurements and the external predictor. The aim of the predictor study is twofold: it is a means of interpreting the connections between the alarm and the catastrophe, and it can be used to select suitable alarm levels. As an application, the performance of a water-level predictor as part of a flood warning system has been evaluated. The result of this analysis shows that an alarm system which operates when the predictor reaches a certain level will tend to give either too many alarms or alarms that are out of phase with the catastrophe.''}},
  author       = {{Beckman, Stig-Inge and Holst, Jan and Lindgren, Georg}},
  issn         = {{0143-9782}},
  keywords     = {{flood warning system; modelling; alarm system; Prediction; performance evaluation; level crossing; extremes.}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{1--18}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Journal of Time Series Analysis}},
  title        = {{Alarm characteristics for a flood warning system with deterministic components}},
  url          = {{http://dx.doi.org/10.1111/j.1467-9892.1990.tb00038.x}},
  doi          = {{10.1111/j.1467-9892.1990.tb00038.x}},
  volume       = {{11}},
  year         = {{1990}},
}