2022
DOI: 10.5194/nhess-2022-238
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Uncovering Inundation Hotspots through a Normalized Flood Severity Index: Urban Flood Modelling Based on Open-Access Data in Ho Chi Minh City, Vietnam

Abstract: Abstract. Hydro-numerical models offer an increasingly important tool to determine the adequacy and evaluate the effectiveness of potential flood protection measures. However, a significant obstacle in setting up hydro-numerical and associated flood damage models is the tedious and oftentimes prohibitively costly process of acquiring reliable input data, which particularly applies to coastal megacities in developing countries and emerging economies. To address this problem, this paper takes the example of Ho C… Show more

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Cited by 1 publication
(2 citation statements)
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“…The high concentration of population and informal settlement areas were established under an inappropriate planning and management process (Storch et al, 2016). The city is flooded regularly by heavy rainfall and high tides (Hoballah Jalloul et al, 2022;Leitold, 2021;Scheiber et al, 2022;.…”
Section: Ho Chi Minh Citymentioning
confidence: 99%
See 1 more Smart Citation
“…The high concentration of population and informal settlement areas were established under an inappropriate planning and management process (Storch et al, 2016). The city is flooded regularly by heavy rainfall and high tides (Hoballah Jalloul et al, 2022;Leitold, 2021;Scheiber et al, 2022;.…”
Section: Ho Chi Minh Citymentioning
confidence: 99%
“…The high concentration of population and informal settlement areas were established under an inappropriate planning and management process (Storch et al, 2016). The city is flooded regularly by heavy rainfall and high tides (Hoballah Jalloul et al, 2022; Leitold, 2021; Scheiber et al, 2022; Storch & Downes, 2011; Storch et al, 2011). It continues to suffer from inadequate or ineffective land and growth planning, high population densities, overloaded drainage infrastructure and a lack of flood defence mechanisms.…”
Section: Introductionmentioning
confidence: 99%