Balancing the interaction between urban regeneration and flood risk management – A cost benefit approach in Ústí nad Labem

Hudson, Paul; Raška, Pavel; Macháč, Jan; Slavíková, Lenka

doi:10.1016/j.landusepol.2022.106276

Cited by 5 publications

(1 citation statement)

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“…Since it is not practical to carry out large-scale pipe network renovation in highly urbanized areas (Pietrucha-Urbanik, 2015;Zhou et al, 2018), urban flooding prevention and control measures gradually shifted from underground to above-ground. Such actions as low-impact development (LID) (Chen and Chen, 2018), sponge city construction (Wang et al, 2017), water-sensitive urban design (WSUD) (Salinas Rodriguez et al, 2014), sustainable drainage system (SuDS) (Scholz, 2015), and urban renewal Hudson et al, 2022;Zhou et al, 2022) were proposed one after another. Therefore, clarifying the influencing factors of urban flooding and its evolution can provide a scientific theoretical basis for formulating urban flood prevention and control measures (Wang Y. et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal evolution of influencing mechanism of urban flooding in the Guangdong Hong Kong Macao greater bay area, China

Zhang

Wang

et al. 2023

Front. Earth Sci.

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Extreme weather has been more frequent in recent years. Urban agglomerations, as areas with a high density of human activities, have been plagued by storm flooding. Historically, the main focus of attention on flood control in urban agglomerations has gradually shifted from underground pipe networks to the impervious surface, reflecting profound changes in the influencing mechanism of urban flooding. Exploring the evolution of the mechanisms influencing urban flooding in the Guangdong Hong Kong Macao Greater Bay Area (GBA) urban agglomeration is of great reference significance for formulating flood prevention and control measures and promoting high-quality development of the GBA city cluster. In this paper, we fully use the collected information on urban flooding events from 1980 to 2018 in the GBA city cluster. Correlation analysis and geographically weighted regression (GWR) are used to analyze the influence of impervious surface percentage (ISP), impervious surface aggregation index (AI), impervious surface mean shape index (Shape_MN), vegetation cover (FVC), water surface ratio (WSR), relative elevation (RE) and slope on flooding in urban clusters and their evolution characteristics over time from a global perspective and spatial heterogeneity, respectively. The results show that: 1) ISP, AI, Shape_MN, and WSR are positively correlated with urban flooding, while FVC, RE, and Slope are negatively correlated with urban flooding. The correlations of each factor showed a general trend of gradual strengthening over time, and the increase rate slowed down after 2000, while the correlation of WSR showed a relatively noticeable decrease. 2) The GWR results show that each factor’s influence on urban flooding has pronounced spatial-temporal heterogeneity, and each factor shows different distribution characteristics. This study uses long time series of urban flooding point data to explore the spatial-temporal evolution of the influencing mechanism of urban flooding in the GBA urban agglomeration. We hope to provide a scientific basis for an in-depth understanding of the causes of urban flooding in the GBA, intending to provide auxiliary decision-making support for the formulation of waterlogging prevention and control measures.

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