2013
DOI: 10.1002/wrcr.20223
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Spectrum of storm event hydrologic response in urban watersheds

Abstract: [1] We seek to improve scientific understanding of urban storm event hydrologic response through analyses of rainfall and discharge data for the Baltimore metropolitan region. Highresolution data, 1 km 2 and 15 min radar rainfall and 1 to 5 min discharge, provide the detail necessary to accurately characterize storm event hydrologic response in small urban basins. We examine flood-producing rainfall properties and storm event hydrologic response for nine small watersheds in the Baltimore region including seven… Show more

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Cited by 77 publications
(119 citation statements)
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“…The lowest flow variability is found for the most urbanized basin (size 31.5 km 2 ), which suggests a smoothing effect of imperviousness on flow variability. Similar results were found by other authors and were attributed to the effect of constraints in the drainage network (Smith and Smith, 2015;Ten Veldhuis and Schleiss, 2017).…”
Section: Discussionsupporting
confidence: 91%
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“…The lowest flow variability is found for the most urbanized basin (size 31.5 km 2 ), which suggests a smoothing effect of imperviousness on flow variability. Similar results were found by other authors and were attributed to the effect of constraints in the drainage network (Smith and Smith, 2015;Ten Veldhuis and Schleiss, 2017).…”
Section: Discussionsupporting
confidence: 91%
“…This is the case in particular for urban catchments where strong variability in land-use, high degree of imperviousness and the presence of stormwater drainage and detention infrastructure increase the complexity of hydrological response (e.g. Bruni et al, 2015;Fletcher et al, 2013;Meierdiercks et al, 2010;Smith et al, 2005Smith et al, , 2013aYang et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
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“…High-resolution topographical datasets have promoted development of more detailed and more complex numerical models for predicting flows (GironĂĄs et al, 2010;Smith et al, 2013). However, model complexity and resolution need to be balanced with the availability and quality of rainfall input data and datasets for catchment representation (Morin et al, 2001;Rafieeinasab et al, 2015;Rico-Ramirez et al, 2015;Rafieeinasab et al, 2015;Pina et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…In particular, for small urban catchments with drainage area no more than 10 km 2 , the temporal resolution of rainfall (TRR), rather than the spatial resolution of rainfall (SRR), has larger effect on hydrodynamic modelling [5,6]. Data with high TRR contribute to urban hydrology research in many aspects, such as analysing the water balance at short time scale [7], capturing the accurate peak discharge time for flooding events [8], and reducing the uncertainty of hydrological simulation [9].…”
Section: Introductionmentioning
confidence: 99%