Risk assessment for people and vehicles in an extreme urban flood: Case study of the “7.20” flood event in Zhengzhou, China

Dong, Boliang; Li, Qijie

doi:10.1016/j.ijdrr.2022.103205

Cited by 66 publications

(15 citation statements)

References 39 publications

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“…Xining and Lanzhou, the provincial capitals in the upper YRB, were dominated by relatively low risk values for flood disasters due to the low hazard of disastercausing factors and the low vulnerability of disasterbearing bodies. However, provincial capitals in the middle and lower YRB showed high and rapidly increasing flood risk values, particularly cities like Xi'an in Shaanxi Province and Zhengzhou in Henan Province [63,65]. These cities have well-developed economies, and their high vulnerability exacerbates the disaster risk associated with the events of similar magnitude.…”

Section: Discussionmentioning

confidence: 99%

Escalating rainstorm-induced flood risks in the Yellow River Basin, China

Hu,

Zhang,

Singh

et al. 2024

Environ. Res. Lett.

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The warming climate-induced intensification of hydrological cycle is amplifying extreme precipitation and increasing flood risk at regional and global scales. The evaluation of flood risk, which depends on assessment indicators, weights, as well as data quality, is the first step toward mitigation flood disasters. In this study, we accepted 10 risk assessment indicators concerning hazard of disaster-causing factors, sensitivity of hazard-forming environments, and vulnerability of disaster-bearing bodies. We used a combined weighting method based on the Analytic Hierarchy Process and Entropy Weight (AHP-EW) technique to evaluate rainstorm-induced flood risks across the Yellow River Basin (YRB) from 2000 to 2018. We observed flood hazards are intensifying across the YRB and a general escalation of flood hazard from southeast to northwest (lower to upper YRB). Specifically, areas with medium-magnitude flood hazards expanded from the lower to the middle and upper YRB. Rainstorm-induced flood risks are increasing from southeast to northwest (lower to upper YRB), and moderate flood risks can be identified over the Inner Mongolia-Ningxia-Gansu section of the YRB. Flood-related vulnerability shows an increasing trend, with higher vulnerability mainly observed in the middle and lower YRB. The overall flood risk in the YRB shows an increasing trend, with a 9-fold increase in flood risk from 2000 to 2018. Medium to high flood risk and vulnerability can mainly be identified in the middle and lower YRB, where population and GDP are concentrated. The intensifying rainstorm-induced flood risks over urban areas in these regions should arouse public concern.

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Section: Discussionmentioning

confidence: 99%

Escalating rainstorm-induced flood risks in the Yellow River Basin, China

Hu,

Zhang,

Singh

et al. 2024

Environ. Res. Lett.

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“…Traditional hydrodynamic models of urban flooding usually neglect the inundation process for urban surface buildings, especially for underground spaces (Schubert & Sanders, 2012; Shen et al, 2018). A numerical modeling study conducted by Dong, Xia, Li, et al (2022) showed that in extreme rainstorm events, the water volume entering the buildings can account for more than 15% of the total storm volume. Therefore, it is necessary to consider the inundation process of buildings and underground spaces in the modeling of urban floods.…”

Section: Numerical Modeling and Flood Damage Assessment Methodsmentioning

confidence: 99%

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

Dong,

Xia,

et al. 2023

River

Self Cite

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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.

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“…With the acceleration in urbanization, impervious surface areas continue to expand, yet the urban drainage systems have estimated that approximately 83,000 people were affected [22]. Additionally, other researchers employed hydrodynamic models to simulate and assess the impact of extreme urban flooding during the "7.20" event in Zhengzhou, China, providing precise evaluations of population exposure [31]. Nevertheless, the current studies do not specifically focus on population exposure to rainfall-induced waterlogging on a city scale.…”

Section: Introductionmentioning

confidence: 99%

Changes in Population Exposure to Rainstorm Waterlogging for Different Return Periods in the Xiong’an New Area, China

Chen,

Wang,

Chen

et al. 2024

Water

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In the context of global climate change and urban expansion, urban residents are encountering greater rainstorm waterlogging risk. Quantifying population exposure to rainstorms is an important component of rainstorm waterlogging risk assessments. This study utilized a two-dimensional hydrodynamic model to simulate the inundation water depth and inundation area resulting from rainstorms, with return periods of 5, 10, 50, and 100 years, in the Xiong’an New Area, and overlaid the gridded population data in 2017 and in 2035 under SSP2 to assess the change in population exposure. The results show that the average inundation depth and area increase were from 0.11 m and 207.9 km2 to 0.18 m and 667.2 km2 as the rainstorm return period increased from once in 5 years to once in 100 years. The greatest water depths in the main urban areas were mainly located in the low-lying areas along the Daqing River. The total population exposed to rainstorm waterlogging for the 5-, 10-, 50-, and 100-year return periods was 0.31, 0.37, 0.50, and 0.53 million, respectively, in 2017. However, this is projected to rise significantly by 2035 under SSP2, increasing 2–4-fold compared with that in 2017 for the four return periods. Specifically, the projected population exposure is expected to be 0.7, 1.0, 1.8, and 2.0 million, respectively. The longer the return period, the greater the increase in population exposure. The proportion of the population exposed at the 0.05–0.2 m water depth to the total population exposure decreases as the return periods increases, whereas the proportion changes in the opposite direction at the 0.2–0.6 m and >0.6 m depth intervals. Spatially, high-exposure areas are concentrated in densely populated main urban regions in the Xiong’an New Area. In the future, more attention should be paid to densely populated low-lying areas and extreme recurrence rainstorm events for urban flood-risk management to ensure population safety and sustainable urban development.

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Risk assessment for people and vehicles in an extreme urban flood: Case study of the “7.20” flood event in Zhengzhou, China

Cited by 66 publications

References 39 publications

Escalating rainstorm-induced flood risks in the Yellow River Basin, China

Escalating rainstorm-induced flood risks in the Yellow River Basin, China

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

Changes in Population Exposure to Rainstorm Waterlogging for Different Return Periods in the Xiong’an New Area, China

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