Informational analysis of the Canadian National Hydrometric program monitoring network

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Language of the publication
English
Date
2023-08-16
Type
Accepted manuscript
Author(s)
  • Leach, James M.
  • Keum, Jongho
  • Karn, Jeffrey
  • Garner, Megan
  • Couli, Paulin
Publisher
Taylor & Francis

Abstract

An information theory-based analysis was used to evaluate the Canadian National Hydrometric Network. The information theory approach used a mutual information based metric known as information quality ratio (IQR) to evaluate the reproducible information available in the network. The analysis was based on available data from January 1, 2009 to December 31, 2018, and compared using average daily discharge and average daily stage data from all months, summer months, and winter months to calculate the IQR. This evaluation showed that 63-77% of hydrometric stations providing discharge data and 87-90% of hydrometric stations providing stage data, depending on the season, have an IQR equal to or greater than 0.4. These results indicate that the majority of hydrometric stations provide an average or higher level of information during the analysis period. Based on the information theory analysis, the existing hydrometric network has been shown to be average in the gauged regions of Canada, excluding the Great Plains region. These results suggest that if new stations were to be added, greater effort should be focused in the ungauged areas of Northern Canada or to bolster information content of the Great Plains.

Description

This is an Accepted Manuscript of an article published by Taylor & Francis in Canadian Water Resources Journal on August 16, 2023, available at: https://doi.org/10.1080/07011784.2023.2242815.

Subject

  • Nature and environment,
  • Science and technology

Pagination

29 pages

Peer review

Yes

Open access level

Green

Identifiers

ISSN
0701-1784
1918-1817

Article

Journal title
Canadian Water Resources Journal / Revue canadienne des ressources hydriques
Journal volume
49
Journal issue
2
Accepted date
2023-07-27
Submitted date
2022-12-01

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Collection(s)

Water

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