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| Funder | Engineering and Physical Sciences Research Council |
|---|---|
| Recipient Organization | University of Exeter |
| Country | United Kingdom |
| Start Date | Sep 30, 2022 |
| End Date | Mar 30, 2026 |
| Duration | 1,277 days |
| Number of Grantees | 2 |
| Roles | Student; Supervisor |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2696644 |
Leakage is one of the most serious problems that water utilities face around the world.
This project will involve the use of computational modelling to investigate optimum location of leaks for complex water distribution systems.
Data Analytic methods will be used/developed to extract information from big data collected from the pressure and flow sensors to identify leaks before they become burst and cause a lot of inconvenience.
The study is expected to provide more accurate methods for detecting and localising medium to very small leaks that are currently undetectable which can be used by water companies and decision makers in sustainable use of natural resources and planning for future resilient water infrastructure. The case study is in India and a potential three month visit to India to collect data is envisaged.
University of Exeter
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