Improving urban drainage modelling with path-average rainfall from telecommunication microwave links

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F12%3A00195849" target="_blank" >RIV/68407700:21110/12:00195849 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Improving urban drainage modelling with path-average rainfall from telecommunication microwave links

Popis výsledku v původním jazyce

Incomplete knowledge about spatio-temporal rainfall dynamics causes input uncertainty in rainfall-runoff modelling. This is especially critical in urban areas, where subcatchments are small and runoff is generated extremely fast on the impervious areas.Networks of telecommunication microwave links (MWL) are very dense in urban areas and therefore could provide novel rainfall information which has the potential to reduce input uncertainty in urban drainage modelling. In this study, we therefore investigate how the better information on spatio-temporal rainfall variability from MWL observations improves pipe flow predictions. Specifically, we perform numerical experiments with virtual rainfall fields and compare the results of MWL rainfall reconstructions to those of rain gauge observations. For a case study of a suburb in Prague, Czech Republic, we are able to show that MWL networks in urban areas are sufficiently dense to provide good information on spatio-temporal rainfall variabilit

Název v anglickém jazyce

Improving urban drainage modelling with path-average rainfall from telecommunication microwave links

Popis výsledku anglicky

Incomplete knowledge about spatio-temporal rainfall dynamics causes input uncertainty in rainfall-runoff modelling. This is especially critical in urban areas, where subcatchments are small and runoff is generated extremely fast on the impervious areas.Networks of telecommunication microwave links (MWL) are very dense in urban areas and therefore could provide novel rainfall information which has the potential to reduce input uncertainty in urban drainage modelling. In this study, we therefore investigate how the better information on spatio-temporal rainfall variability from MWL observations improves pipe flow predictions. Specifically, we perform numerical experiments with virtual rainfall fields and compare the results of MWL rainfall reconstructions to those of rain gauge observations. For a case study of a suburb in Prague, Czech Republic, we are able to show that MWL networks in urban areas are sufficiently dense to provide good information on spatio-temporal rainfall variabilit

Druh

D - Stať ve sborníku

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Extended Abstracts of 9th International Conference on Urban Drainage Modelling

ISBN

978-86-7518-155-2

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

17-18

Název nakladatele

Faculty of Civil Engineering, University of Belgrade

Místo vydání

Belgrade

Místo konání akce

Bělehrad

Datum konání akce

4. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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