Critical scales to explain urban hydrological response

Cristiano, Elena; Veldhuis, Marie-Claire ten; Gaitan, Santiago; Ochoa-Rodríguez, Susana; Giesen, Nick van de

doi:10.5194/hess-2017-715

Cited by 2 publications

(2 citation statements)

References 36 publications

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“…Durations of up to 3 h were chosen for the analysis, with multiple steps for min and h out of our interest for sub-hourly and sub-daily pattern. The values were not aggregated spatially, since this usually reduces the maximum intensity values (Cristiano et al, 2018).…”

Section: Data Processing and Quality Issuesmentioning

confidence: 99%

An analysis on temporal scaling behavior of extreme rainfall of Germany based on radar precipitation QPE data

Pöschmann¹,

Kim²,

Kronenberg³

et al. 2020

Preprint

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Abstract. We investigate the depth–duration relationship of maximum rainfall over the whole of Germany based on 16 yrs of radar derived Quantitative Precipitation Estimates (namely, RADKLIM–YW, German Meteorological Service) with a space–time resolution of 1 km and 5 min. Contrary to the long–term historic records that identified a smooth power law scaling behavior between the maximum rainfall depth and duration, our analysis revealed three distinct scaling regimes of which boundaries are approximately 1.5 h and 1 d. Few extraordinary events dominate a wide range of durations and deviate to the usual power law. Furthermore, the shape of the depth–duration relationship varies with the sample size of randomly selected radar pixels. A smooth scaling behavior were identified when the sample size is small (e.g. 10 to 100), but the original three distinct scaling regimes became more apparent as the sample size increases (e.g. 1000 to 10 000). Lastly, a pixel wise classification of the depth–duration relationship of the maximum rainfall at all individual pixels in Germany revealed three distinguishable types of scaling behavior, clearly determined by the temporal structure of the extreme rainfall events at a pixel. Thus, the relationship might change with longer time series and can be improved once available.

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Section: Data Processing and Quality Issuesmentioning

confidence: 99%

An analysis on temporal scaling behavior of extreme rainfall of Germany based on radar precipitation QPE data

Pöschmann¹,

Kim²,

Kronenberg³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The performed calculations based on hydrodynamic models of urbanized and agricultural catchments [40][41][42] showed that convective rainfall events (short duration and high rainfall intensity) strongly affected drainage systems: flooding of manholes, reservoir overflows, stormwater overflows, etc. Thus, to limit these problems, proper decision-making during the control (or even the modernization) of existing stormwater networks is required.…”

Section: Introductionmentioning

confidence: 99%

Flood occurrence analysis in small urban catchments in the context of regional variability

et al. 2022

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An original method for analyzing the influence of the meteorological, as well as physical-geographical conditions on the flooding of stormwater in small urban catchment areas is proposed. A logistical regression model is employed for the identification of the flooding events. The elaborated model enables to simulate the stormwater flooding in a single rainfall event, on the basis of the rainfall depth, duration, imperviousness of the catchment and its spatial distribution within the analyzed area, as well as the density of the stormwater network. The rainfall events are predicted considering the regional convective rainfall model for 32 rain gauges located in Poland, based on 44 years of rainfall data. In the study, empirical models are obtained to calculate the rainfall duration conditioning the flooding of stormwater in a small urban catchment area depending on the characteristics of the examined urban basins. The empirical models enabling to control the urbanization process of catchment areas, accounting for the local rainfall and meteorological characteristics are provided. The paper proposes a methodology for the identification of the areas especially sensitive to stormwater flooding in small urban catchment areas depending to the country scale. By employing the presented methodology, the regions with most sensitive urban catchments are identified. On this basis, a ranking of towns and cities is determined from the most sensitive to flooding in small urban catchment areas to the regions where the risk of flooding is lower. Using the method developed in the paper, maximum impervious catchment area are determined for the selected regions of the country, the exceedance of which determines the occurrence of stormwater flooding.

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Critical scales to explain urban hydrological response

Cited by 2 publications

References 36 publications

An analysis on temporal scaling behavior of extreme rainfall of Germany based on radar precipitation QPE data

An analysis on temporal scaling behavior of extreme rainfall of Germany based on radar precipitation QPE data

Flood occurrence analysis in small urban catchments in the context of regional variability

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