Evaluation of Methods for Representing Urban Terrain in Storm-Water Modeling

Gironás, Jorge; Niemann, Jeffrey D.; Roesner, Larry A.; Rodríguez, Fabrice; Andrieu, Hervé

doi:10.1061/(asce)he.1943-5584.0000142

Cited by 54 publications

(43 citation statements)

References 23 publications

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“…High-resolution topographical datasets have promoted development of more detailed and more complex numerical models for predicting flows (Gironás 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%

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: Introductionmentioning

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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“…While this approach obviously discards important information on the catchment, the suggested simplifications for model development allow the assessment of larger urban areas in a feasible manner. Subsurface drainage conduits are naturally not represented in a DEM and, thus, the DEM is commonly pre-processed by burning the conduit network into the DEM surface [22]. In this study a constant value was reduced from DEM grid cells where conduits were located and thereafter depressions filled to allow for hydraulic connectivity.…”

Section: Dem-based Delineation (Lr-dem)mentioning

confidence: 99%

“…Currently, with the expansion of airborne LIDAR observations, high-resolution DEMs have become available for many urban regions and have been used for several hydrological assessments in urban areas [34][35][36][37][38]. However, small-scale features, such as street curbs that influence urban surface flow, remain unsatisfactorily represented in high-resolution terrain models [22,39,40].…”

Section: Introductionmentioning

confidence: 99%

“…This strategy is supported by the recent development of urban data banks [20] containing rather detailed information on the urban land-cover and drainage network properties, but in addition to such spatial characteristics the modeling also requires data on runoff. However, such data are still unavailable for many urban areas [21][22][23], implying that the hydrological assessment of particularly larger urban areas has to be conducted using less detailed information [24]. Consequently, LID tools are commonly simulated by the alteration of lumped parameters [25] rather than explicitly describing their properties.…”

Section: Introductionmentioning

confidence: 99%

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Parameterization of a Hydrological Model for a Large, Ungauged Urban Catchment

Krebs

Kokkonen

Setälä

et al. 2016

Water

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Urbanization leads to the replacement of natural areas by impervious surfaces and affects the catchment hydrological cycle with adverse environmental impacts. Low impact development tools (LID) that mimic hydrological processes of natural areas have been developed and applied to mitigate these impacts. Hydrological simulations are one possibility to evaluate the LID performance but the associated small-scale processes require a highly spatially distributed and explicit modeling approach. However, detailed data for model development are often not available for large urban areas, hampering the model parameterization. In this paper we propose a methodology to parameterize a hydrological model to a large, ungauged urban area by maintaining at the same time a detailed surface discretization for direct parameter manipulation for LID simulation and a firm reliance on available data for model conceptualization. Catchment delineation was based on a high-resolution digital elevation model (DEM) and model parameterization relied on a novel model regionalization approach. The impact of automated delineation and model regionalization on simulation results was evaluated for three monitored study catchments (5.87-12.59 ha). The simulated runoff peak was most sensitive to accurate catchment discretization and calibration, while both the runoff volume and the fit of the hydrograph were less affected.

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“…pipe and gutter elevations) into OEMs for urban hydrological modelling (Glronas et at, 2010). Whilst it was found to be benefiCial to incorporate data on known surface drainage for urban flow path modelling, Gironas et al (2010) noted that varying contributing areas, and therefore catchment characteristics were obtained depending on the method used.…”

Section: Currently Available Toolsmentioning

confidence: 99%

GIS Water-Balance Approach to Support Surface Water Flood-Risk Management

et al. 2012

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Concern has arisen as to whether the lack of appropriate consideration to surface water in urban spatial planning is reducing our capacity to manage surface water flood risk. Appropriate tools are required that allow spatial planners to explore opportunities and solutions for surface water flooding at large spatial scales. An urban surface water balance model has been developed that screens large urban areas to identify flooded areas and which allows solutions to be explored. The model hypothesis is that key hydrological characteristics; storage volume and location, flow paths and surface water Model results were used as a basis to develop solutions to surface water flooding. A least cost path methodology was developed to identify managed flood routes as a solution. These were translated into model inputs in the form a modified OEM. It was shown that the simple and fast representation of flood routes and surface storage is of considerable benefit for scenario analysis.il ACKNOWLEDGEMENTS

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Evaluation of Methods for Representing Urban Terrain in Storm-Water Modeling

Cited by 54 publications

References 23 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

Parameterization of a Hydrological Model for a Large, Ungauged Urban Catchment

GIS Water-Balance Approach to Support Surface Water Flood-Risk Management

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