Modelling design flood hydrographs in catchments with mixed urban and rural land cover

Kjeldsen, Thomas; Miller, James; Packman, J. C.

doi:10.2166/nh.2013.158

Cited by 26 publications

(29 citation statements)

References 13 publications

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“…For example, Cheng et al [51] and Chen et al [52] aimed to relate Nash model parameters to basic urban indicators, such as imperviousness and population. Kjeldsen et al [53] related the four parameters of a basically nonurban event-based and conceptual model to the urbanized proportion of seven catchments in the United Kingdom. Except for a few studies [54,55], where a significant number of catchments were used, such applications were constrained to small samples of catchments.…”

Section: Application Of Rf For Model Regionalization In Multiple Landmentioning

confidence: 99%

Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters

Saadi

Oudin

Ribstein

2019

Water

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This study investigated the potential of random forest (RF) algorithms for regionalizing the parameters of an hourly hydrological model. The relationships between model parameters and climate/landscape catchment descriptors were multidimensional and exhibited nonlinear features. In this case, machine-learning tools offered the option of efficiently handling such relationships using a large sample of data. The performance of the regionalized model using RF was assessed in comparison with local calibration and two benchmark regionalization approaches. Two catchment sets were considered: (1) A target pseudo-ungauged catchment set was composed of 120 urban ungauged catchments and (2) 2105 gauged American and French catchments were used for constructing the RF. By using pseudo-ungauged urban catchments, we aimed at assessing the potential of the RF to detect the specificities of the urban catchments. Results showed that RF-regionalized models allowed for slightly better streamflow simulations on ungauged sites compared with benchmark regionalization approaches. Yet, constructed RFs were weakly sensitive to the urbanization features of the catchments, which prevents their use in straightforward scenarios of the hydrological impacts of urbanization.

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Section: Application Of Rf For Model Regionalization In Multiple Landmentioning

confidence: 99%

Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters

Saadi

Oudin

Ribstein

2019

Water

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“…Antecedent soil moisture in urban environments is commonly assumed not to have an effect on the hydrologic response of an urban catchment (Hurford et al, 2012;Wheater and Evans, 2009). Some investigations show weak correlations between antecedent 45 soil moisture and storm water runoff in urban environments (Kjeldsen et al, 2013;Pitt et al, 2008;Yang et al, 2016). Another investigation focuses on rainfall characteristics and storm event hydrologic response for 7 urbanized catchments, where no strong correlation is found with antecedent moisture (Smith et al, 2013).…”

Section: Approaches To Quantifying Urban Pluvial Flooding Occurrence mentioning

confidence: 99%

Towards identification of critical rainfall thresholds for urban pluvial flooding prediction based on crowdsourced flood observations

Bouwens

Veldhuis

Schleiss

et al. 2018

Preprint

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Urban drainage systems are challenged by both urbanization and climate change, intensifying urban pluvial flooding impacts. Urban pluvial flooding impacts can be reduced by improving infrastructure and operational urban flood management strategies. This study investigated the relation between heavy rainfall and urban pluvial flooding in Rotterdam with the aim to identify parameters and thresholds that can be used as predictors of urban pluvial 5flooding. The focus of the investigation was on an area of 16 km 2 . Datasets for this research included historical crowdsourced flooding reports, overflow pumping volumes, open spatial data and rainfall data at different temporal and spatial resolutions. Threshold values, (which can be used as part of early warning systems,) were derived from historical flooding data and rainfall depths over sub daily durations. Threshold values of rainfall depth were found to be 6 mm (±3 mm) in 15 min and 11 mm (±6 mm) in 60 min. Surprisingly, the derived thresholds are only 10 approximately half of the theoretical drainage system design capacity. Furthermore, a threshold value of 70% (± 4%) imperviousness was found above which flooding incidents significantly increase. Results also suggested a strong dependence on spatial aggregation scale, as it highly influences correlation coefficients and parameter density values. Elevation differences did not appear to contribute to urban pluvial flooding, based on a flow path analysis for the study area. Finally, we showed that antecedent rainfall does not explain additional variance in 15 reports, meaning it is not an influential urban pluvial flooding predictor, at least not on a daily temporal resolution.

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“…A reduction in the natural infiltration can be expected due to the introduction of impervious surfaces, leading to an increase in the volume of storm runoff. At the same time, the replacement of natural water courses with more efficient man-made drains reduces the lag-time of the runoff response (see discussions in, e.g., Kjeldsen et al [2013] and ). Next, the connectivity to drainage, termed effective impervious area (EIA) or directly connected impervious area (DCIA), would also play a role in the catchment response to rainfall events [Shuster et al, 2005].…”

Section: Introductionmentioning

confidence: 99%

Detection and attribution of urbanization effect on flood extremes using nonstationary flood‐frequency models

Prosdocimi

Kjeldsen

Miller

2015

Water Resources Research

Self Cite

178

111

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This study investigates whether long-term changes in observed series of high flows can be attributed to changes in land use via nonstationary flood-frequency analyses. A point process characterization of threshold exceedances is used, which allows for direct inclusion of covariates in the model; as well as a nonstationary model for block maxima series. In particular, changes in annual, winter, and summer block maxima and peaks over threshold extracted from gauged instantaneous flows records in two hydrologically similar catchments located in proximity to one another in northern England are investigated. The study catchment is characterized by large increases in urbanization levels in recent decades, while the paired control catchment has remained undeveloped during the study period . To avoid the potential confounding effect of natural variability, a covariate which summarizes key climatological properties is included in the flood-frequency model. A significant effect of the increasing urbanization levels on high flows is detected, in particular in the summer season. Point process models appear to be superior to block maxima models in their ability to detect the effect of the increase in urbanization levels on high flows.

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Modelling design flood hydrographs in catchments with mixed urban and rural land cover

Cited by 26 publications

References 13 publications

Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters

Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters

Towards identification of critical rainfall thresholds for urban pluvial flooding prediction based on crowdsourced flood observations

Detection and attribution of urbanization effect on flood extremes using nonstationary flood‐frequency models

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