Influence of urban forms on surface flow in urban pluvial flooding

Bruwier, Martin; Maravat, Claire; Mustafà, Ahmed; Teller, Jacques; Pirotton, Michel; Erpicum, Sébastien; Archambeau, Pierre; Dewals, Benjamin

doi:10.1016/j.jhydrol.2019.124493

Cited by 56 publications

(35 citation statements)

References 44 publications

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“…Two-dimensional shallow-water-equation models have been extensively validated and applied to many urban-inundation studies over the last decade [46][47][48][49][50][51][52][53], showing their ability to represent urban-inundation processes and to efficiently deal with the presence of unsteady inundation fronts, small water depths, and high bed friction. Small-scale structural elements (e.g., buildings, walls) and small topographic variations can be explicitly represented in the model, instead of being parameterized, as long as the numerical mesh is fine enough [54][55][56][57][58][59][60][61][62].…”

Section: Modelling Flood Hazardmentioning

confidence: 99%

Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review

Cea

Costabile

2022

Hydrology

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The modelling and management of flood risk in urban areas are increasingly recognized as global challenges. The complexity of these issues is a consequence of the existence of several distinct sources of risk, including not only fluvial, tidal and coastal flooding, but also exposure to urban runoff and local drainage failure, and the various management strategies that can be proposed. The high degree of vulnerability that characterizes such areas is expected to increase in the future due to the effects of climate change, the growth of the population living in cities, and urban densification. An increasing awareness of the socio-economic losses and environmental impact of urban flooding is clearly reflected in the recent expansion of the number of studies related to the modelling and management of urban flooding, sometimes within the framework of adaptation to climate change. The goal of the current paper is to provide a general review of the recent advances in flood-risk modelling and management, while also exploring future perspectives in these fields of research.

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Section: Modelling Flood Hazardmentioning

confidence: 99%

Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review

Cea

Costabile

2022

Hydrology

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“…In addition, although buildings and other structures can make up a substantial fraction of the area of dense urban watersheds, representation of their role in rainfall‐runoff, flow routing, and storage remains simplistic in existing dual‐drainage models (Bruwier et al., 2020; Chang, Wang, & Chen, 2015; Leandro & Martins, 2016). Existing dual drainage models are also rarely capable of representing system operations and societal practices that can influence flooding processes.…”

Section: Limitations Of Existing Urban Flood Modeling Frameworkmentioning

confidence: 99%

The Value of Urban Flood Modeling

et al. 2021

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As the human population and the impending magnitude of global climate change both continue to grow, there is an imperative to better understand the function of cities as ecosystems and their resilience to climate-driven disturbances. Floods are prominent disturbances to urban ecosystems (Grimm et al., 2017; Rentschler et al., 2019), and their meteorological drivers-including extreme precipitation, sea level rise, and coastal storms-are projected to increase in coming decades (Y. Chen et al., 2018). Numerical models are essential tools for understanding floods and their associated risks. But despite recent advances in computational resources, existing flood models remain limited in their capability to represent integrated flooding processes in urban areas and provide credible, quantitative information needed to support risk assessment and resilience practice. In this commentary, we discuss the potential value of urban flood modeling for urban resilience and limitations of existing modeling approaches. We then present a research agenda and vision for the future of urban flood modeling, realized through collaboration between researchers and practitioners. We define urban flood models (UFMs) as numerical models that are capable of representing the features of urban ecosystems and the mechanisms of flooding that impact them. Cities are Social-Ecological-Technological

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“…Therefore, the above LID measures are not the best way to alleviate the impact of impervious surfaces on waterlogging in urban renewal. In addition to the area of impervious surfaces, differences in the spatial layout of impervious surfaces can also affect urban waterlogging (Bruwier et al., 2020; Mejía & Moglen, 2009; Yu, Zhao, Fu, & Li, 2018). Therefore, the optimal design of impervious surfaces (ODIS) also serves as an essential approach for alleviating urban waterlogging in urban renewal.…”

Section: Introductionmentioning

confidence: 99%

A high‐efficiency global model of optimization design of impervious surfaces for alleviating urban waterlogging in urban renewal

Zhao

et al. 2021

Transactions in GIS

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The rapid expansion and unreasonable design of impervious surfaces caused by urbanization have seriously aggravated urban waterlogging. Determining how to optimize the spatial layout of impervious surfaces is the focus of urban waterlogging prevention in urban renewal. The existing urban‐renewal methods include constructing low‐impact development measures by reducing the area of impervious surfaces or implementing a local high‐strength design based on the ant colony algorithm (ACA) from the viewpoint of optimization design. However, these methods have obvious shortcomings in terms of time efficiency, and their optimized design schemes are insufficient at considering the global impervious surface design. Therefore, to address these problems, the study proposes a coupled model of multivariate linear programming and Soil Conservation Service curve number. The model is employed in the central city of Guangzhou, China. The results show, first, that the optimal design of impervious surfaces in urban renewal is to construct a discontinuous connection of high‐low‐high‐density impervious surfaces; second, that, compared with ACA, our method has higher robustness, increases the average optimization rate by 4.48 to 14.00%, and reduces the optimization time over 30 days to 20.8 s; and third, that the optimal results realize the global low‐strength transformation as complements of the existing design scheme of local high‐strength transformation. This study optimizes methods for alleviating urban waterlogging urban renewal at different scales or intensities.

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Influence of urban forms on surface flow in urban pluvial flooding

Cited by 56 publications

References 44 publications

Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review

Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review

The Value of Urban Flood Modeling

A high‐efficiency global model of optimization design of impervious surfaces for alleviating urban waterlogging in urban renewal

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