A review of modelling methodologies for flood source area (FSA) identification

Singh, Amrie; Dawson, David; Trigg, Mark A.; Wright, Nigel

doi:10.1007/s11069-021-04672-2

Cited by 18 publications

(11 citation statements)

References 93 publications

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“…Unit Flood Response (UFR) approaches were typically used to identify flood source area in previous research. However, UFR would not be considered a viable tool due to the lack of openly or easily available sewer network data (A. Singh et al, 2021). And this approach considers the features of urban waterlogging and treats low‐lying areas as risk sources.…”

Section: Discussionmentioning

confidence: 99%

Urban road waterlogging risk assessment based on the source–pathway–receptor concept in Shenzhen, China

Sun

Wang

Huang

et al. 2022

J Flood Risk Management

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Urban roads are especially vulnerable to waterlogging during rainfall events.Assessments of urban road waterlogging risk are critical for disaster prevention and mitigation. This paper presents a rapid and practical approach for assessing the risk of urban road waterlogging based on a source-pathway-receptor concept and a digital elevation model (DEM). Waterlogging sources are identified by neighborhood analysis, overland flow pathways are extracted using a DEM, and the properties of cross-nodes between pathways and roads are used to assess the waterlogging risk of roads. Futian District in Shenzhen, China, is selected as the study area. The risk results show that the waterlogging risk sources are clustered in residential land parcels and low-lying road sections, while most road intersections and overpasses in the central area are at higher risks. The results also found that the waterlogging risk decreases as the road grade increases. Actual telephonic flooding records and reported waterlogging areas were used to validate the method, with the risk results displaying good agreement with the actual conditions. The prospects for generalizing this framework and its usage are discussed. The proposed approach provides support for pluvial flooding risk assessment and urban road waterlogging prevention.

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Section: Discussionmentioning

confidence: 99%

Urban road waterlogging risk assessment based on the source–pathway–receptor concept in Shenzhen, China

Sun

Wang

Huang

et al. 2022

J Flood Risk Management

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“…To reduce the volume and frequency of CSOs, Sustainable Drainage Systems (SuDS) are now recognised as one of the most effective catchment interventions, demonstrated in hydraulic modelling (Riechel et al, 2020) and have become the standard method for surface water management in new developments in the UK (GLA, 2015). However, industry assessments of city-scale SuDS interventions require large scale catchment models to be simulated against design storms using a range of industry recognised storm durations (Singh et al, 2021;Webber et al, 2021). We identify a gap in assessing CSOs in an integrated and fast spatially aggregated model when assessing the benefits of implementing SuDS on CSOs.…”

Section: Introductionmentioning

confidence: 99%

The Value of Aggregated City Scale Models to Rapidly Assess SuDS in Combined Sewer Systems

2022

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The role of Sustainable Drainage Systems (SuDS) in reducing combined sewer overflows (CSOs) and flood volumes can be accurately assessed using the available high-fidelity sewer network modelling software packages in the market. However, these tools are too slow for a range of modern applications such as optimisation or uncertainty analysis where long-term climate projection simulations are required. In this study, we create a novel representation of combined sewer systems to enhance an existing spatially aggregated model (CityWat) with additional functionalities to assess flood volumes, discharge to rivers and CSOs. We validate the developed model (CityWatStorm) by comparing the simulation results with a high-fidelity InfoWorks ICM model. Finally, we implement SuDS at a city scale and assess the betterment achieved in the context of flood volumes and CSOs. We conclude that CityWatStorm is able to capture the SuDS betterment within 95% accuracy, and the total flood volume and CSOs with an accuracy ranging from 78 to 83%. This makes the aggregated model suitable for a wide range of applications such as sensitivity analysis of catchment interventions for long-term planning under future uncertainties.

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“…Flooding is characterized by the overflow of water onto dry land [5,6]. Inland floods can be originated by abnormal runoff of rivers and creeks as a result of excessive rain from tropical cyclones, persistent thunderstorms, and snowmelt, while on the coastline they may occur as a result of geologic, oceanographic and hydrometeorological processes such as abnormal tides, storm surges and tsunamis [1].…”

Section: Introductionmentioning

confidence: 99%

“…The processes that generate floods are complex and depend on several spatial and temporal factors related to the event that triggers them. Overflows in streams and creeks are complex processes that depend on factors such as rainfall patterns, topography, geology, sedimentology, and geomorphology [6]. In urban environments where the landscape is ever-changing, spatial factors such as ground cover, green spaces, and drainage systems have a significant impact [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…Overflows in streams and creeks are complex processes that depend on factors such as rainfall patterns, topography, geology, sedimentology, and geomorphology [6]. In urban environments where the landscape is ever-changing, spatial factors such as ground cover, green spaces, and drainage systems have a significant impact [6,7]. On the other hand, storm surges are considered among the most disastrous marine/coastal hazards especially in combination with astronomical high tides and waves [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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Integrated Runoff-Storm Surge Flood Hazard Mapping Associated with Tropical Cyclones in the Suburbs of La Paz, Baja California Sur, México

et al. 2021

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Floods are amongst the most frequent and destructive type of disaster, causing significant damage to communities. Globally, there is an increasing trend in the damage caused by floods generated by several factors. Flooding is characterized by the overflow of water onto dry land. Tropical cyclones generate floods due to excess water in rivers and streams and storm surges; however, the hazard of both phenomena is presented separately. In this research we present a methodology for the estimation of flood hazards related to tropical cyclones, integrating runoff and storm surge floods. As a case study, we selected the south-western suburbs of the city of La Paz, the capital of the state of Baja California Sur in northwest Mexico. The city has experienced in recent years an expansion of the urban area. In addition, there is an infrastructure of great importance such as the transpeninsular highway that connects the capital with the north of the state, as well as the international airport. Our results indicate that urban areas, agricultural lands, as well as the air force base, airport, and portions of the transpeninsular highway are in hazardous flood areas, making necessary to reduce the exposure and vulnerability to these tropical cyclone-related events. A resulting map was effective in defining those areas that would be exposed to flooding in the face of the impact of tropical cyclones and considering climate change scenarios, which represents an invaluable source of information for society and decision-makers for comprehensive risk management and disaster prevention.

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A review of modelling methodologies for flood source area (FSA) identification

Cited by 18 publications

References 93 publications

Urban road waterlogging risk assessment based on the source–pathway–receptor concept in Shenzhen, China

Urban road waterlogging risk assessment based on the source–pathway–receptor concept in Shenzhen, China

The Value of Aggregated City Scale Models to Rapidly Assess SuDS in Combined Sewer Systems

Integrated Runoff-Storm Surge Flood Hazard Mapping Associated with Tropical Cyclones in the Suburbs of La Paz, Baja California Sur, México

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