Using measured data for reducing precipitation distribution uncertainty

M. K. Nielsen, M. Lindstr\303\270m, K. V. Gernaey & H. Madsen
The analysis of on-line sewer system data, for example obtained from pumping stations, confirms that rainfall is far from being uniformly distributed. As a consequence, CSO estimates from deterministic sewer models using a few rain gauges as a source for input rain series data, and thus assuming a uniform distribution of the rain over a catchment, was found to be very unreliable. It is thus questionable if evaluations based on sewer models are useful when...

2 Related Works

Using measured data for reducing precipitation distribution uncertainty

M. K. Nielsen, M. Lindstr\303\270m, K. V. Gernaey & H. Madsen
The analysis of on-line sewer system data, for example obtained from pumping stations, confirms that rainfall is far from being uniformly distributed. As a consequence, CSO estimates from deterministic sewer models using a few rain gauges as a source for input rain series data, and thus assuming a uniform distribution of the rain over a catchment, was found to be very unreliable. It is thus questionable if evaluations based on sewer models are useful when...

Using measured data for reducing precipitation distribution uncertainty

M. K. Nielsen, M. Lindstr\303\270m, K. V. Gernaey & H. Madsen
The analysis of on-line sewer system data, for example obtained from pumping stations, confirms that rainfall is far from being uniformly distributed. As a consequence, CSO estimates from deterministic sewer models using a few rain gauges as a source for input rain series data, and thus assuming a uniform distribution of the rain over a catchment, was found to be very unreliable. It is thus questionable if evaluations based on sewer models are useful when...

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Publication Year

  • 2005
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  • 2011
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