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Modeling and prediction of surface water contamination using on-line sensor data

  • University of Bedfordshire
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

Water contamination is a great disadvantage to humans and aquatic life. Maintaining the aesthetics and quality of water bodies is a priority for environmental stake holders. The water quality sensor data can be analyzed over a period of time to give an indication of pollution incidents and could be a useful forecasting tool. Here we show our initial finding from statistical analysis on such sensor data from one of the lakes of the river Lea, south of Luton. Our initial work shows patterns which will form the basis for our forecasting model.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1-5 (5 pages)

Journal (Volume, Issue Number)

International Journal on Smart Sensing and Intelligent Systems (Volume 7, Issue 5)

Publication milestones

  • Published - 31/12/2014

Publication status

Published - 31/12/2014

External Publication IDs

  • handle.net: 10547/624205
  • Scopus: 85083967000

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