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
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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: 2,537 (including HTML, PDF, and XML)
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2,385
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34
2,537
57
45
HTML: 2,385
PDF: 118
XML: 34
Total: 2,537
BibTeX: 57
EndNote: 45
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Cumulative views and downloads
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Total article views: 2,307 (including HTML, PDF, and XML)
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2,159
118
30
2,307
57
45
HTML: 2,159
PDF: 118
XML: 30
Total: 2,307
BibTeX: 57
EndNote: 45
Views and downloads (calculated since 25 Aug 2025)
Cumulative views and downloads
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Total article views: 230 (including HTML, PDF, and XML)
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226
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4
230
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Total: 230
BibTeX: 0
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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: 2,537 (including HTML, PDF, and XML)
Thereof 2,432 with geography defined
and 105 with unknown origin.
Total article views: 2,307 (including HTML, PDF, and XML)
Thereof 2,216 with geography defined
and 91 with unknown origin.
Total article views: 230 (including HTML, PDF, and XML)
Thereof 216 with geography defined
and 14 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,...