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Pipe Roughness Estimation in Water Distribution Networks Using Head Loss Adjustment
To estimate pipe roughness in water distribution networks, a parameter estimation method based on head loss adjustment is proposed. In order to minimize the sum of the squares of the corrections of pipe head losses, pipe head losses simulated by EPANET are adjusted by using weighted least squares (WLS) constrained by head measurements. Pipe roughness (the Hazen-Williams C-factor) is computed by using the ratio of simulated to adjusted head losses, while the outliers are detected and removed by using boundary-fence and gross-error-detection techniques. The iterative loops of model simulation and head loss adjustment under multiple operating conditions support that pipe roughness can be realistically estimated even when nodal demands and head measurements are noisy. The method was verified on a hypothetical network and part of a real network from the literature. The results show that the method is effective for pipe roughness estimation.
Pipe Roughness Estimation in Water Distribution Networks Using Head Loss Adjustment
To estimate pipe roughness in water distribution networks, a parameter estimation method based on head loss adjustment is proposed. In order to minimize the sum of the squares of the corrections of pipe head losses, pipe head losses simulated by EPANET are adjusted by using weighted least squares (WLS) constrained by head measurements. Pipe roughness (the Hazen-Williams C-factor) is computed by using the ratio of simulated to adjusted head losses, while the outliers are detected and removed by using boundary-fence and gross-error-detection techniques. The iterative loops of model simulation and head loss adjustment under multiple operating conditions support that pipe roughness can be realistically estimated even when nodal demands and head measurements are noisy. The method was verified on a hypothetical network and part of a real network from the literature. The results show that the method is effective for pipe roughness estimation.
Pipe Roughness Estimation in Water Distribution Networks Using Head Loss Adjustment
Gao, Tiejun (author)
2017-02-03
Article (Journal)
Electronic Resource
Unknown
Pipe Roughness Estimation in Water Distribution Networks Using Head Loss Adjustment
| Online Contents | 2017
Pipe Roughness Estimation in Water Distribution Networks Using Head Loss Adjustment
| British Library Online Contents | 2017
Pipe Roughness Estimation in Water Distribution Networks Using Head Loss Adjustment
| Online Contents | 2017
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