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231224s2013 xx |||||o 00| ||eng c |
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|a 10.2166/wst.2013.274
|2 doi
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|a pubmed24n0764.xml
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|a (DE-627)NLM22924338X
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|a (NLM)23863443
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Thorndahl, Søren
|e verfasserin
|4 aut
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|a Comparison of short-term rainfall forecasts for model-based flow prediction in urban drainage systems
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|c 2013
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 22.10.2013
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|a Date Revised 02.12.2018
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|a published: Print
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|a Citation Status MEDLINE
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|a Forecast-based flow prediction in drainage systems can be used to implement real-time control of drainage systems. This study compares two different types of rainfall forecast - a radar rainfall extrapolation-based nowcast model and a numerical weather prediction model. The models are applied as input to an urban runoff model predicting the inlet flow to a waste water treatment plant. The modelled flows are auto-calibrated against real-time flow observations in order to certify the best possible forecast. Results show that it is possible to forecast flows with a lead time of 24 h. The best performance of the system is found using the radar nowcast for the short lead times and the weather model for larger lead times
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|a Comparative Study
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|a Journal Article
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|a Poulsen, Troels Sander
|e verfasserin
|4 aut
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|a Bøvith, Thomas
|e verfasserin
|4 aut
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|a Borup, Morten
|e verfasserin
|4 aut
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|a Ahm, Malte
|e verfasserin
|4 aut
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|a Nielsen, Jesper Ellerbæk
|e verfasserin
|4 aut
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|a Grum, Morten
|e verfasserin
|4 aut
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|a Rasmussen, Michael R
|e verfasserin
|4 aut
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|a Gill, Rasphall
|e verfasserin
|4 aut
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|a Mikkelsen, Peter Steen
|e verfasserin
|4 aut
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|i Enthalten in
|t Water science and technology : a journal of the International Association on Water Pollution Research
|d 1986
|g 68(2013), 2 vom: 23., Seite 472-8
|w (DE-627)NLM098149431
|x 0273-1223
|7 nnns
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|g volume:68
|g year:2013
|g number:2
|g day:23
|g pages:472-8
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|u http://dx.doi.org/10.2166/wst.2013.274
|3 Volltext
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|d 68
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|h 472-8
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