the role of storm scale, position and movement in controlling urban flood response
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ID: 224394
2018
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Abstract
The impact of spatial and temporal variability of rainfall on
hydrological response remains poorly understood, in particular in urban
catchments due to their strong variability in land use, a high degree of
imperviousness and the presence of stormwater infrastructure. In this study,
we analyze the effect of storm scale, position and movement in relation to
basin scale and flow-path network structure on urban hydrological response. A
catalog of 279 peak events was extracted from a high-quality observational
dataset covering 15 years of flow observations and radar rainfall data for
five (semi)urbanized basins ranging from 7.0 to 111.1 km2 in size.
Results showed that the largest peak flows in the event catalog were associated
with storm core scales exceeding basin scale, for all except the largest
basin. Spatial scale of flood-producing storm events in the smaller basins
fell into two groups: storms of large spatial scales exceeding basin size or
small, concentrated events, with storm core much smaller than basin size. For
the majority of events, spatial rainfall variability was strongly smoothed by
the flow-path network, increasingly so for larger basin size. Correlation
analysis showed that position of the storm in relation to the flow-path
network was significantly correlated with peak flow in the smallest and in
the two more urbanized basins. Analysis of storm movement relative to the
flow-path network showed that direction of storm movement, upstream or
downstream relative to the flow-path network, had little influence on
hydrological response. Slow-moving storms tend to be associated with higher
peak flows and longer lag times. Unexpectedly, position of the storm relative
to impervious cover within the basins had little effect on flow peaks. These
findings show the importance of observation-based analysis in validating and
improving our understanding of interactions between the spatial distribution of
rainfall and catchment variability.
| Reference Key |
veldhuis2018hydrologythe
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|---|---|
| Authors | ;M.-C. ten Veldhuis;M.-C. ten Veldhuis;Z. Zhou;Z. Zhou;Z. Zhou;L. Yang;S. Liu;J. Smith |
| Journal | materials research bulletin |
| Year | 2018 |
| DOI |
10.5194/hess-22-417-2018
|
| URL | |
| Keywords |
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