Spatiotemporal flood risk assessment of underground space considering flood intensity and escape route

Shin, Eun Taek; Rhee, Dong Sop; Eom, Taesoo; Song, Chang Geun

doi:10.1007/s11069-021-04888-2

Cited by 14 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, China's urban flooding disaster in 2021 caused 59.01 million people to be affected [11]. As underground spaces, such as subway stations, are relatively closed-off, with only a few entrances and exits connected to the outside world, when flooding occurs, underground spaces can easily be flooded and trapped accidents can occur [12][13][14][15]. In recent years, flooding has intruded into subway stations in several cities in China, leading to station shutdowns and even casualties.…”

Section: Introductionmentioning

confidence: 99%

Flow Pattern and Escape Hazards of People from Flood Intrusion into the Staircase of Underground Spaces with Multiple Rest Platforms

Lin,

Hu,

Lin

2024

Buildings

View full text Add to dashboard Cite

While urban underground space is being built and developed at a high speed, urban flooding is also occurring gradually and frequently. Urban water, in many disasters, has intruded into underground spaces, such as subway stations, often leading to serious casualties, in which it is crucial for people to be able to escape from the staircases. In order to enable and guide the escape of people in underground floods, a staircase model with multiple rest platforms, applicable to common entrance and exit staircase forms, was constructed. The realizable k-ε turbulence model, coupled with a volume of fluid (VOF) method, was used to simulate and analyze the flow patterns when floods of various heights intrude into the structure. The effects of rest platform settings on the ejection phenomena and flow velocity changes in flood flows were summarized. The change rule of flood flow velocity on the stairs under different flood heights and stair heights was summarized, and a linear relationship between the peak flood flow velocity and the location of the peak flow velocity point on each flight of stairs was derived. Combined with the formula of the critical conditions for people to escape upwards in the flood, the proposed escape conditions for staircases with multiple rest platforms were proposed, which provide a basis for guiding the evacuation of people in times of disaster.

show abstract

Section: Introductionmentioning

confidence: 99%

Flow Pattern and Escape Hazards of People from Flood Intrusion into the Staircase of Underground Spaces with Multiple Rest Platforms

Lin,

Hu,

Lin

2024

Buildings

View full text Add to dashboard Cite

show abstract

“…The inundation of houses, roads, and underground spaces in urban floods can directly cause property losses (Shin et al, 2021; Xia et al, 2018). Roads serve as the primary pathways for floodwaters during flood disasters, resulting in high water depths and flow velocities.…”

Section: Introductionmentioning

confidence: 99%

Fine‐scale damage assessment of urban flooding based on the 1D/2D coupled hydrodynamic model

Dong,

Xia,

et al. 2023

River

View full text Add to dashboard Cite

Due to the high population density and economic property in urban environments, urban flooding can result in substantial economic losses. However, accurate urban flood modeling and assessing the associated damages are challenging due to complex urban layouts and rugged topography. Furthermore, the rapid development of urban underground spaces has introduced additional complexities. To address the demanding need for accurate flood modeling and damage assessment in cities, a fine‐scale flood damage assessment method was proposed in this study, based on the 1D/2D coupled hydrodynamic model, which can not only assess the flood damage on the ground surface but also evaluate the flood loss in underground spaces. Taking the Gangxi drainage area in Wuhan City, China as a case, this study extensively discussed the flood inundation processes on the ground surface as well as in the buildings and underground spaces, under different rainfall scenarios with the return period ranging from 2 to 200 years. Based on the high spatial‐temporal hydrodynamic simulations, the flood damage degrees were evaluated for the buildings and underground spaces with different industry types. The results indicated that the inundation of buildings and underground spaces in densely built cities cannot be neglected in urban flood modeling. Buildings with public service attributes can have a higher flood damage degree, as compared with other types of buildings and underground spaces.

show abstract

“…Research on urban flooding within the management scope is mainly focused on constructing disaster prevention systems and prevention and control strategies. By analyzing the mechanism of urban flooding formation [14] and the characteristics of underground space flooding [15], we explore the disaster-causing factors [16], construct a disaster prevention system [17], and propose corresponding prevention and control countermeasures. There are studies based on multi-wisdom technology support, carrying out multi-scenario simulations based on runoff control indexes [18] and using the sponge city concept [19]; such studies build an urban flood control system and formulate low-impact development flood remediation plans [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Urban Flood Governance Efficiency Based on the Data Envelopment Analysis Model and Malmquist Index: Evidence from 30 Provincial Capitals in China

Guo

et al. 2023

Water

View full text Add to dashboard Cite

Urban flooding disasters endanger people’s lives and property while causing significant economic damage to cities. To further improve the efficiency of urban flooding governance and promote the optimal allocation of resources, this article selects the number of people in flood control, medical and health security, financial expenditure on flood control, affected population, and direct economic loss as evaluation indicators from the input–output perspective; it measures the efficiency of urban flooding governance in 30 provincial capitals in China from 2012 to 2021 using the DEA model and Malmquist index method and identifies the key factors affecting the efficiency of urban flooding governance. The research results show that in 2021, the average value of the comprehensive technical efficiency of flood disaster governance in 30 provincial capitals in China was 0.408, the development trend was not optimistic, and the constraint factor was scale efficiency. The interannual average value of the total factor productivity index of urban flood disaster governance from 2012 to 2021 was 0.976, and the overall trend was decreasing year by year, during which some cities were able to achieve a yearly increase in governance efficiency, but most cities still faced a severe situation in flood disaster governance. The total factor productivity index varied enormously across towns with the variation in annual precipitation; the greater the annual precipitation, the greater the total factor productivity index of urban flooding disaster governance in the urban agglomerations, and the comprehensive technical efficiency change was consistent with its trend change. This consistency has a positive contribution to the total factor productivity index of urban flooding disaster governance.

show abstract

Spatiotemporal flood risk assessment of underground space considering flood intensity and escape route

Cited by 14 publications

References 22 publications

Flow Pattern and Escape Hazards of People from Flood Intrusion into the Staircase of Underground Spaces with Multiple Rest Platforms

Flow Pattern and Escape Hazards of People from Flood Intrusion into the Staircase of Underground Spaces with Multiple Rest Platforms

Fine‐scale damage assessment of urban flooding based on the 1D/2D coupled hydrodynamic model

Evaluation of Urban Flood Governance Efficiency Based on the Data Envelopment Analysis Model and Malmquist Index: Evidence from 30 Provincial Capitals in China

Contact Info

Product

Resources

About