Microwave links potential for runoff prediction: Case study Letnany
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F16%3A00309751" target="_blank" >RIV/68407700:21110/16:00309751 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Microwave links potential for runoff prediction: Case study Letnany
Popis výsledku v původním jazyce
Urban storm water management requires rainfall data of high spatial and temporal resolution which is often not available. Path-integrated rain rate information from cellular microwave links (MWL) has a great potential to improve this situation as the MWL network is very dense in urban areas. The paper investigates the MWL potential in terms of urban storm runoff prediction. It compares the rainfall-runoff model performance when using rain rate input from six different rainfall monitoring scenarios derived from stochastically generated rainfall fields: complete rainfall information (reference), rain rates as measured by MWL network and rain rates as measured by four different rain gauge layouts. The paper focuses on effect of rainfall spatial variation description rather than uncertainties in instrumentation itself. Rainfall data (150 rainfall events) for six scenarios were derived from stochastically generated rain fields used as an input to a calibrated rainfall-runoff model. Model performance is evaluated with respect to hydrograph shapes, runoff volumes, peak discharges and time shift of peak discharges. Results show a high potential of the MWL method which in all metrics of interest exhibit a very close similarity with the reference scenario.
Název v anglickém jazyce
Microwave links potential for runoff prediction: Case study Letnany
Popis výsledku anglicky
Urban storm water management requires rainfall data of high spatial and temporal resolution which is often not available. Path-integrated rain rate information from cellular microwave links (MWL) has a great potential to improve this situation as the MWL network is very dense in urban areas. The paper investigates the MWL potential in terms of urban storm runoff prediction. It compares the rainfall-runoff model performance when using rain rate input from six different rainfall monitoring scenarios derived from stochastically generated rainfall fields: complete rainfall information (reference), rain rates as measured by MWL network and rain rates as measured by four different rain gauge layouts. The paper focuses on effect of rainfall spatial variation description rather than uncertainties in instrumentation itself. Rainfall data (150 rainfall events) for six scenarios were derived from stochastically generated rain fields used as an input to a calibrated rainfall-runoff model. Model performance is evaluated with respect to hydrograph shapes, runoff volumes, peak discharges and time shift of peak discharges. Results show a high potential of the MWL method which in all metrics of interest exhibit a very close similarity with the reference scenario.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
DA - Hydrologie a limnologie
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GA14-22978S" target="_blank" >GA14-22978S: Predikce srážkového odtoku v urbanizovaných povodích na základě deštěm generovaného útlumu mikrovlnných spojů telekomunikační sítě</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Urban Water
ISBN
978-2-917199-06-0
ISSN
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e-ISSN
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Počet stran výsledku
1
Strana od-do
152-152
Název nakladatele
GRAIE, Lyon, France
Místo vydání
Lyon
Místo konání akce
Lyon
Datum konání akce
28. 6. 2016
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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