Section Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany
Planetary Boundaries Science Lab, Earth System Analysis, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
Section Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 4,662 (including HTML, PDF, and XML)
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4,284
304
74
4,662
81
75
HTML: 4,284
PDF: 304
XML: 74
Total: 4,662
BibTeX: 81
EndNote: 75
Views and downloads (calculated since 02 Jan 2025)
Cumulative views and downloads
(calculated since 02 Jan 2025)
Total article views: 3,181 (including HTML, PDF, and XML)
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EndNote
2,811
304
66
3,181
81
75
HTML: 2,811
PDF: 304
XML: 66
Total: 3,181
BibTeX: 81
EndNote: 75
Views and downloads (calculated since 25 Aug 2025)
Cumulative views and downloads
(calculated since 25 Aug 2025)
Total article views: 1,481 (including HTML, PDF, and XML)
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1,473
0
8
1,481
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0
HTML: 1,473
PDF: 0
XML: 8
Total: 1,481
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 02 Jan 2025)
Cumulative views and downloads
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Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 4,662 (including HTML, PDF, and XML)
Thereof 4,511 with geography defined
and 151 with unknown origin.
Total article views: 3,181 (including HTML, PDF, and XML)
Thereof 3,032 with geography defined
and 149 with unknown origin.
Total article views: 1,481 (including HTML, PDF, and XML)
Thereof 1,479 with geography defined
and 2 with unknown origin.
Ho Chi Minh City (HCMC) faces severe flood risks from climatic and socio-economic changes, requiring effective adaptation solutions. Flood loss estimation is crucial, but advanced probabilistic models accounting for key drivers and uncertainty are lacking. This study presents a probabilistic flood loss model with a feature selection paradigm for HCMC’s residential sector. Experiments using new survey data from flood-affected households demonstrate the model's superior performance.
Ho Chi Minh City (HCMC) faces severe flood risks from climatic and socio-economic changes,...