A hybrid model-based method for leak detection in large scale water distribution networks
- Submitting institution
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The University of West London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12040
- Type
- D - Journal article
- DOI
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10.1007/s12652-020-02233-2
- Title of journal
- Journal of Ambient Intelligence and Humanized Computing
- Article number
- -
- First page
- 1
- Volume
- 12
- Issue
- -
- ISSN
- 1868-5137
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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-
- 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
-
-
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
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This study developed an innovative methodology for leak detection in the water network of urban areas – a major problem for many cities (e.g. Thames Water London losing 20% of water supply, compensating customers £129million in 2018). Apart from financial cost, it causes environmental and infrastructure damage (e.g. sinkholes). The proposed approach can detect and locate single and multiple leaks in different pipes and outperforms other methods in terms of time, cost, leak location and reliability.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
