Quantification of Compound Flooding over Roadway Network during Extreme Events for Planning Emergency Operations

Tahvildari, Navid; Aad, Mirla Abi; Sahu, Akash; Shen, Yawen; Morsy, Mohamed M.; Murray‐Tuite, Pamela; Goodall, Jonathan L.; Heaslip, Kevin; Cetin, Mecit

doi:10.1061/(asce)nh.1527-6996.0000524

Cited by 7 publications

(3 citation statements)

References 35 publications

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“…For example, Bocanegra and Francés (2021) developed an assessment method to estimate the vehicle instability risk by the statistical integral of the instability hazard and vehicles' vulnerability. Tahvildari et al (2022) quantified compound flooding across roadway networks driven by storm surges and rainfall using a coupled storm surge and two-dimensional hydrodynamic model. However, existing research often either relies on proprietary models or omits consideration of drainage systems, potentially introducing inaccuracies in urban flood simulations.…”

Section: Introductionmentioning

confidence: 99%

Flood risk investigation of pedestrians and vehicles in a mountainous city using a coupled coastal ocean and stormwater management model

Liu,

Ren,

Chen

2024

J Flood Risk Management

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To examine the attributes, underlying mechanisms, and impacts of rainfall patterns on the vulnerability of pedestrians and vehicles to flood‐induced instability within mountainous urban areas, we introduced an integrated urban flood model that combined the Storm Water Management Model (SWMM) and Finite Volume Coastal Ocean Model (FVCOM). We implemented this model in the Yuelai New Town of Chongqing, China. Our findings indicated that in the case of early peak rainfalls, there was a rapid surge in flood volume during the initial stages of rainfall , while this increase was more gradual when the peak rainfall was delayed. Furthermore, for events with the same return period, flood peaks resulting from later peak rainfalls covered a larger area compared with those from earlier peak rainfalls; however, this effect diminished with increasing return periods. As the return period was extended, the exposed risk area for pedestrians and vehicles expanded. Analysis of instability indices revealed that pedestrians exhibit a lower index compared with vehicles, adults fare better than children, and SUVs outperform sedans. The efficacy of our proposed model framework was demonstrated through its successful application in assessing urban flood risk and evaluating the instability index for pedestrians and vehicles within a mountainous urban setting.

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Section: Introductionmentioning

confidence: 99%

Flood risk investigation of pedestrians and vehicles in a mountainous city using a coupled coastal ocean and stormwater management model

Liu,

Ren,

Chen

2024

J Flood Risk Management

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“…(3) The simulation of historical extreme precipitation scenarios. For example, Tahvildari et al used a hydrodynamic storm surge model coupled with a two-dimensional hydrodynamic model of rainfall-driven flow to simulate road inundation scenarios and medical service accessibility during the simultaneous occurrence of extreme precipitation and storm surge triggered by Hurricane Irene in 2011 [23]. Coles et al simulated inundation scenarios of the 2014 flash flood event and the 2015 river floods event in York, UK using a hydrodynamic flood inundation model (FloodMap) and assessed the vulnerability of nursing homes and shelters during the flood [24].…”

Section: Introductionmentioning

confidence: 99%

Spatial Accessibility Assessment of Emergency Response of Urban Public Services in the Context of Pluvial Flooding Scenarios: The Case of Jiaozuo Urban Area, China

Zhang

Kong

et al. 2022

Sustainability

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Urban pluvial flooding has become an important factor in urban casualties and economic losses, thus, there is an urgent need to strengthen urban emergency management research and improve emergency response capabilities to flooding. The SCS–CN hydrological model combined with GIS spatial analysis were used to assess the spatial accessibility of the emergency response to key urban public services (medical and fire) for different pluvial flooding scenarios of the Jiaozuo urban area. The results show that the coverage area of the public service department (medical and fire) emergency response decreases as the period of pluvial flooding recurrence increases. The accessibility of the public service department (medical and fire services) emergency response shows a gradual decline from the center of the Jiaozuo urban area to the periphery. The depth and area of water accumulation in the northern part of the Zhongzhan District, the northeastern part of the Macun District, and the southwestern part of the Shanyang District gradually increased as the heavy rainfall recurrence period increased. Emergency response from public services (medical and fire services) could not arrive within 15 min.

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“…Given the correlation between storm tide and rainfall, considerable efforts have been made to develop methodologies for modeling the combined impact from these flood mechanisms. In prior works, the proposed modeling systems are normally the coupling of a one-dimensional (1D: [7,15,16]) or two-dimensional (2D: [17][18][19]) overland model with a 2D or three-dimensional (3D) storm surge model (e.g., ADCRIC, MIKE21, and Delft3D). Yin [17] proposed a coastal inundation model by coupling a storm surge model (ADCIRC) with an urban flood model (FloodMap).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling of Inland Flooding and Storm Surge on Coastal Cities under Climate Change Scenarios: Transportation Infrastructure Impacts in Norfolk, Virginia USA as a Case Study

et al. 2022

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Low-lying coastal cities across the world are vulnerable to the combined impact of rainfall and storm tide. However, existing approaches lack the ability to model the combined effect of these flood mechanisms, especially under climate change and sea level rise (SLR). Thus, to increase flood resilience of coastal cities, modeling techniques to improve the understanding and prediction of the combined effect of these flood hazards are critical. To address this need, this study presents a modeling system for assessing the combined flood impact on coastal cities under selected future climate scenarios that leverages ocean modeling with land surface modeling capable of resolving urban drainage infrastructure within the city. The modeling approach is demonstrated in quantifying the impact of possible future climate scenarios on transportation infrastructure within Norfolk, Virginia, USA. A series of combined storm events are modeled for current (2020) and projected future (2070) climate scenarios. The results show that pluvial flooding causes a larger interruption to the transportation network compared to tidal flooding under current climate conditions. By 2070, however, tidal flooding will be the dominant flooding mechanism with even nuisance flooding expected to happen daily due to SLR. In 2070, nuisance flooding is expected to cause a 4.6% total link close time (TLC), which is more than two times that of a 50-year storm surge (1.8% TLC) in 2020. The coupled flood model was compared with a widely used but physically simplistic bathtub method to assess the difference resulting from the more complex modeling presented in this study. The results show that the bathtub method overestimated the flooded area near the shoreline by 9.5% and 3.1% for a 10-year storm surge event in 2020 and 2070, respectively, but underestimated the flooded area in the inland region by 9.0% and 4.0% for the same events. The findings demonstrate the benefit of sophisticated modeling methods compared to more simplistic bathtub approaches, in climate adaptive planning and policy in coastal communities.

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Quantification of Compound Flooding over Roadway Network during Extreme Events for Planning Emergency Operations

Cited by 7 publications

References 35 publications

Flood risk investigation of pedestrians and vehicles in a mountainous city using a coupled coastal ocean and stormwater management model

Flood risk investigation of pedestrians and vehicles in a mountainous city using a coupled coastal ocean and stormwater management model

Spatial Accessibility Assessment of Emergency Response of Urban Public Services in the Context of Pluvial Flooding Scenarios: The Case of Jiaozuo Urban Area, China

Dynamic Modeling of Inland Flooding and Storm Surge on Coastal Cities under Climate Change Scenarios: Transportation Infrastructure Impacts in Norfolk, Virginia USA as a Case Study

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