Articles | Volume 23, issue 6
Research article
26 Jun 2023
Research article |  | 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, Mazen Hoballah Jalloul, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann

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Cited articles

ADB: Ho Chi Minh City – Adaptation to Climate Change: Summary Report, Asian Development Bank, Manila, the Philippines, 1–36 pp., ISBN 978-971-561-893-9, 2010. 
Ahmad, K., Sohail, A., Conci, N., and de Natale, F.: A Comparative Study of Global and Deep Features for the Analysis of User-Generated Natural Disaster Related Images, in: 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Aristi Village, Zagorochoria, Greece, 6 October–6 December 2018, 1–5,, 2018. 
ALOS: OpenTopography: ALOS World 3D – 30 m [data set],, 2016. 
Amadio, M., Scorzini, A. R., Carisi, F., Essenfelder, A. H., Domeneghetti, A., Mysiak, J., and Castellarin, A.: Testing empirical and synthetic flood damage models: the case of Italy, Nat. Hazards Earth Syst. Sci., 19, 661–678,, 2019. 
Andimuthu, R., Kandasamy, P., Mudgal, B. V., Jeganathan, A., Balu, A., and Sankar, G.: Performance of urban storm drainage network under changing climate scenarios: Flood mitigation in Indian coastal city, Sci. Rep., 9, 7783,, 2019. 
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.
Final-revised paper