Uncertainty analysis of the influence of rainfall time resolution in the modelling of urban drainage systems

Aronica, Giuseppe Tito; Freni, Gabriele; Oliveri, E.

doi:10.1002/hyp.5645

Cited by 43 publications

(31 citation statements)

References 11 publications

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“…In a more recent study (Aronica et al, 2005), this model was compared to the Storm Water Management Model (EPA SWMM model; Rossman, 2010), that allows the user to choose different conceptual models to simulate runoff and sewer flow. Results showed that model structure and sensitivity to parameters influence the sensitivity to the rainfall input resolution.…”

Section: Spatial and Temporal Variability In Urban Hydrological Modelsmentioning

confidence: 99%

Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review

Cristiano

Veldhuis

Giesen

2017

Hydrol. Earth Syst. Sci.

266

146

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Abstract. In urban areas, hydrological processes are characterized by high variability in space and time, making them sensitive to small-scale temporal and spatial rainfall variability. In the last decades new instruments, techniques, and methods have been developed to capture rainfall and hydrological processes at high resolution. Weather radars have been introduced to estimate high spatial and temporal rainfall variability. At the same time, new models have been proposed to reproduce hydrological response, based on smallscale representation of urban catchment spatial variability. Despite these efforts, interactions between rainfall variability, catchment heterogeneity, and hydrological response remain poorly understood. This paper presents a review of our current understanding of hydrological processes in urban environments as reported in the literature, focusing on their spatial and temporal variability aspects. We review recent findings on the effects of rainfall variability on hydrological response and identify gaps where knowledge needs to be further developed to improve our understanding of and capability to predict urban hydrological response.

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Section: Spatial and Temporal Variability In Urban Hydrological Modelsmentioning

confidence: 99%

Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review

Cristiano

Veldhuis

Giesen

2017

Hydrol. Earth Syst. Sci.

266

146

View full text Add to dashboard Cite

show abstract

“…The rainfall accuracy index (RAI), which is dimensionless, was employed to quantify how rainfall patterns change due to aggregation [28]. RAI is computed in the same method of computing Nash efficiency coefficient, which is used to evaluate the approximation between simulation and observation in order to examine the model's accuracy.…”

Section: Characteristics Of Rainfall Data and Upscalingmentioning

confidence: 99%

“…Due to the different degrees of the "smooth effect", the varying sensitivity of models to rainfall inputs lead to different evaluation results of the effects of TRR. Aronica et al [28] found that SWMM model shows a higher sensitivity to TRR than hydrological parameters, while UDTM model [29] has an opposite property. Meselhe et al [30] compared a conceptual model HMS with a physically based hydrologic model MIKE SHE and illustrated that the physically based model is more affected by temporal rainfall sampling.…”

Section: Introductionmentioning

confidence: 99%

Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes

Lyu

Cao

et al. 2018

Water

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Rainfall exhibits substantial variability, and its temporal resolution considerably affects simulation of hydrological processes. This study aims to investigate the effect of the temporal resolution of rainfall (TRR) on urban flood modeling and to explore how high TRR is required. A routing-enhanced detailed urban stormwater (REDUS) model, which has four layers and accounts for complex urban flow paths, was developed and then applied to the campus of Tsinghua University, Beijing, China. For 30 rainfall events at 1-min resolution, the rainfall accuracy index (RAI) was used to describe the discrepancy of rainfall patterns by upscaling. Through hydrodynamic modelling, the effect of TRR was quantified by the relative error of flood volume and peak in typical areas. The results show that (1) flood peak is sensitive to TRR while flood volume is generally not; (2) with lower TRR, discharge peak is underestimated, and a power function is proposed to express the relationship between the effect of TRR and the characteristics of rainfall and underlying surfaces; and (3) rainfall data of 5-min resolution for urban areas smaller than 1 km 2 , or at least 15-min resolution for larger areas, are required to constrain the relative biases of flood peak within 10%.

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“…The spatial and temporal variability of precipitation can present a significant source of uncertainty in weather and 650 H. C. WARD et al climate models (Fekete et al, 2004;Aronica et al, 2005;Wang et al, 2009). According to Berne et al (2004), rainfall data at a temporal resolution of a few minutes is required for hydrological applications in urban areas.…”

Section: Introductionmentioning

confidence: 99%

Impact of temporal resolution of precipitation forcing data on modelled urban‐atmosphere exchanges and surface conditions

Ward

Tan

Gabey

et al. 2017

Intl Journal of Climatology

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Representative precipitation data sets are very difficult to obtain due to the inherent spatial and temporal variability of rainfall. Gridded rainfall products exist at various scales, but temporal resolution is coarse (daily or, at best, a few hours). This study demonstrates the impact of low temporal resolution precipitation forcing data (PFD) on modelled energy fluxes, runoff and surface conditions, which could have implications for a range of applications including flood forecasting, irrigation scheduling and epidemiology. An evaporation-interception model originally developed for forests is applied here within the framework of the Surface Urban Energy and Water balance Scheme (SUEWS). The model is forced with rainfall data representative of a range of temporal resolutions (from 5 min to 3 h). Taking the highest resolution case as a reference, differences in model output are found as the temporal resolution of PFD decreases, depending on the timing of rainfall occurrence, intensity and duration. Modelled evaporation, runoff and surface wetness deviate from the reference case, which affect other variables such as the turbulent sensible heat flux. The largest impacts are seen on days with greatest daily total rainfall and, even on days with no rain, differences in antecedent conditions (soil moisture or surface wetness) can cause deviations from the reference case. Errors can be reduced by applying a disaggregation scheme that provides a more realistic distribution of rainfall, importantly, one that allows for intermittent rainfall.

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Uncertainty analysis of the influence of rainfall time resolution in the modelling of urban drainage systems

Cited by 43 publications

References 11 publications

Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review

Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review

Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes

Impact of temporal resolution of precipitation forcing data on modelled urban‐atmosphere exchanges and surface conditions

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