A robust method to simultaneously place sensors and calibrate parameters for urban drainage pipe system models using Bayesian decision theory
Urban drainage models (UDMs) require observation data from sensors for calibration before managing urban floods. However, there is often the case that sensors are not available when model calibration is required, and hence sensor placing and model calibration need to be simultaneously considered in...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Engineering Applications of Computational Fluid Mechanics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2025.2473992 |
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