Articles | Volume 25, issue 8
https://doi.org/10.5194/nhess-25-2845-2025
https://doi.org/10.5194/nhess-25-2845-2025
Research article
 | 
25 Aug 2025
Research article |  | 25 Aug 2025

BN-FLEMOΔ: a Bayesian-network-based flood loss estimation model for adaptation planning in Ho Chi Minh City, Vietnam

Kasra Rafiezadeh Shahi, Nivedita Sairam, Lukas Schoppa, Le Thanh Sang, Do Ly Hoai Tan, and Heidi Kreibich

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-3631', Anonymous Referee #1, 25 Jan 2025
    • AC2: 'Reply on RC1', Kasra Rafiezadeh Shahi, 08 Apr 2025
  • RC2: 'Comment on egusphere-2024-3631', Anonymous Referee #2, 04 Mar 2025
    • AC1: 'Reply on RC2', Kasra Rafiezadeh Shahi, 08 Apr 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (30 May 2025) by Maria-Carmen Llasat
AR by Kasra Rafiezadeh Shahi on behalf of the Authors (02 Jun 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (05 Jun 2025) by Maria-Carmen Llasat
AR by Kasra Rafiezadeh Shahi on behalf of the Authors (08 Jun 2025)  Manuscript 
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Short summary
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.
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