Articles | Volume 25, issue 7
https://doi.org/10.5194/nhess-25-2437-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-2437-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jul 2025
Research article |
| 22 Jul 2025
| 22 Jul 2025
Modelling flood losses of micro-businesses in Ho Chi Minh City, Vietnam
Section 4.4 Hydrology, GFZ German Research Centre for Geosciences, Potsdam 14473, Germany
GIScience Research Group, Heidelberg University, Heidelberg 69117, Germany
Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Potsdam 14473, Germany
Dominik Paprotny
Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Potsdam 14473, Germany
Kasra Rafiezadeh Shahi
Section 4.4 Hydrology, GFZ German Research Centre for Geosciences, Potsdam 14473, Germany
Earth System Analysis, Potsdam Institute for Climate Impact Research (PIK), Potsdam 14473, Germany
Heidi Kreibich
Section 4.4 Hydrology, GFZ German Research Centre for Geosciences, Potsdam 14473, Germany
Section 4.4 Hydrology, GFZ German Research Centre for Geosciences, Potsdam 14473, Germany
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Thulasi Vishwanath Harish, Nivedita Sairam, Liang Emlyn Yang, Matthias Garschagen, and Heidi Kreibich
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Alberto Caldas-Alvarez, Markus Augenstein, Georgy Ayzel, Klemens Barfus, Ribu Cherian, Lisa Dillenardt, Felix Fauer, Hendrik Feldmann, Maik Heistermann, Alexia Karwat, Frank Kaspar, Heidi Kreibich, Etor Emanuel Lucio-Eceiza, Edmund P. Meredith, Susanna Mohr, Deborah Niermann, Stephan Pfahl, Florian Ruff, Henning W. Rust, Lukas Schoppa, Thomas Schwitalla, Stella Steidl, Annegret H. Thieken, Jordis S. Tradowsky, Volker Wulfmeyer, and Johannes Quaas
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Dominik Paprotny and Matthias Mengel
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Preprint withdrawn
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Brunella Bonaccorso, Carmelo Cammalleri, Athanasios Loukas, and Heidi Kreibich
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Annegret H. Thieken, Guilherme Samprogna Mohor, Heidi Kreibich, and Meike Müller
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Valeria Cigala, Giulia Roder, and Heidi Kreibich
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Gustavo Andrei Speckhann, Heidi Kreibich, and Bruno Merz
Earth Syst. Sci. Data, 13, 731–740, https://doi.org/10.5194/essd-13-731-2021, https://doi.org/10.5194/essd-13-731-2021, 2021
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Marco Cerri, Max Steinhausen, Heidi Kreibich, and Kai Schröter
Nat. Hazards Earth Syst. Sci., 21, 643–662, https://doi.org/10.5194/nhess-21-643-2021, https://doi.org/10.5194/nhess-21-643-2021, 2021
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Daniela Molinari, Anna Rita Scorzini, Chiara Arrighi, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, Alice Gallazzi, Marta Galliani, Frédéric Grelot, Patric Kellermann, Heidi Kreibich, Guilherme S. Mohor, Markus Mosimann, Stephanie Natho, Claire Richert, Kai Schroeter, Annegret H. Thieken, Andreas Paul Zischg, and Francesco Ballio
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Flood risk management requires a realistic estimation of flood losses. However, the capacity of available flood damage models to depict real damages is questionable. With a joint effort of eight research groups, the objective of this study was to compare the performances of nine models for the estimation of flood damage to buildings. The comparison provided more objective insights on the transferability of the models and on the reliability of their estimations.
Patric Kellermann, Kai Schröter, Annegret H. Thieken, Sören-Nils Haubrock, and Heidi Kreibich
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The flood damage database HOWAS 21 contains object-specific flood damage data resulting from fluvial, pluvial and groundwater flooding. The datasets incorporate various variables of flood hazard, exposure, vulnerability and direct tangible damage at properties from several economic sectors. This paper presents HOWAS 21 and highlights exemplary analyses to demonstrate the use of HOWAS 21 flood damage data.
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Short summary
Many households in Vietnam depend on revenue from micro-businesses (shop houses). However, losses caused by regular flooding are not modelled. Business turnover, building age, and water depth were found to be the main drivers of flood losses of micro-businesses. We built and validated probabilistic models (non-parametric Bayesian networks) that estimate flood losses of micro-businesses. The results help with flood risk management and adaption decision making for micro-businesses.
Many households in Vietnam depend on revenue from micro-businesses (shop houses). However,...
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