Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2313-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-23-2313-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jun 2023
Research article |
| 26 Jun 2023
| 26 Jun 2023
The potential of open-access data for flood estimations: uncovering inundation hotspots in Ho Chi Minh City, Vietnam, through a normalized flood severity index
Leon Scheiber
CORRESPONDING AUTHOR
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
Mazen Hoballah Jalloul
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
Christian Jordan
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
Jan Visscher
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
Hong Quan Nguyen
Institute for Circular Economy Development, Vietnam National
University Ho Chi Minh City, 700000 Ho Chi Minh City, Vietnam
Institute for Environment and Resources, Vietnam National University Ho Chi Minh City, 700000 Ho Chi Minh City, Vietnam
Torsten Schlurmann
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
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Short summary
Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.
Numerical models are increasingly important for assessing urban flooding, yet reliable input...
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