An intelligent analytics system for real-time catchment regulation and water management
- Submitting institution
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Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 12 - Engineering
- Output identifier
- 96228723
- Type
- D - Journal article
- DOI
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10.1109/TII.2017.2782338
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 3970
- Volume
- 14
- Issue
- 9
- ISSN
- 1551-3203
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
http://dx.doi.org/10.1109/TII.2017.2782338
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel real-time decision support predictive tool for water management and catchment regulation was developed for the Usk Reservoir in South Wales. The intelligent decision support system uses deep learning to predict river level and river flow based on which a dependency modelling is developed for assessing the probability of risks of flooding, over extraction, etc. The risk-based decision support system has informed Cambrensis Ltd. and Environment Agency Wales water programmes and results have been shared to industry stakeholders.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -