2021
DOI: 10.1016/j.jhydrol.2021.126393
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Identification of sensitivity indicators of urban rainstorm flood disasters: A case study in China

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Cited by 73 publications
(38 citation statements)
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“…Based on an empirical study of four mega-cities in China Wu et al (2021) proposed a descriptive framework for cities and communities to identify sensitivity indicators of urban rainstorm flood disasters by using a random forest model. Their results indicate that that urban rainstorm flood disasters are the most sensitive to surface water resources, and are the least sensitive to relief degree of land surface.A multi-criteria decision analysis framework for optimal decision making is developed by Velautham Daksiya, Mandapaka, and Lo (2021) to adapt climate change and associated uncertainties of urban flood risk.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on an empirical study of four mega-cities in China Wu et al (2021) proposed a descriptive framework for cities and communities to identify sensitivity indicators of urban rainstorm flood disasters by using a random forest model. Their results indicate that that urban rainstorm flood disasters are the most sensitive to surface water resources, and are the least sensitive to relief degree of land surface.A multi-criteria decision analysis framework for optimal decision making is developed by Velautham Daksiya, Mandapaka, and Lo (2021) to adapt climate change and associated uncertainties of urban flood risk.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Li and Sivapalan 2020). Especially, urban rainstorm floods have already been one of the most severe natural disasters that restrict the healthy development of the economy and society in China (Wu et al 2021). According to the Ministry of Water Resources of the People's Republic of China, more than 100 cities in China suffered from urban floods every year from 2008 to 2018, causing direct economic losses of 374.5, 267.5, 315.6, and 364.3 billion yuan in 2010, 2012, 2013, and 2016, respectively Velautham Daksiya, Mandapaka, and Lo (2021) found that climate change has a higher impact compared to urbanization on the flood protection decisions.…”
Section: Introductionmentioning
confidence: 99%
“…During the prolonged wet season, waterlogging and flooding risks are high as the drainage network gets overloaded (Figure 1a). Unfortunately, two thirds of China's land is at risk of flooding, and 62% of Chinese cities have experienced urban rainstorm waterlogging disasters in recent years [13], causing direct economic loss averaging 330 billion RMB per year between 2011 and 2016 [14]. Thus, urban waterlogging is a crucial problem that limits the sustainable and healthy development of Chinese cities and megacities [15].…”
Section: Introductionmentioning
confidence: 99%
“…The municipal infrastructure needs to update with appropriate flood management (Wang et al, 2008;Zhang et al, 2019), and since the capability of the sewerage system in the Zhengzhou metropolitan region is insufficient, further improvements are required. Wang et al (2021) utilized remoting sense images with high precision (Sidek et al, 2021) coupled with urban hydrological models (Chen et al, 2021) to evaluate the possibility of potential flood hazards, and Wu et al (2021) represented the correlation between social indicators (such as population) and direct economic losses. Furthermore, Lv, Meng, et al (2021) introduced the Flood Inundated Depth-Loss Rate Function (FILF), accompanied by images of land-use classification and the Digital Elevation Model (DEM) to estimate the losses caused by extreme precipitation.…”
Section: Introductionmentioning
confidence: 99%