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Lookup table of the BN-FLEMO∆: A Bayesian Network-based Flood Loss Estimation Model for Ho Chi Minh City, Vietnam

Cite as:

Rafiezadeh Shahi, Kasra; Sairam, Nivedita; Schoppa, Lukas; Thanh Sang, Le; Ly Hoai Tan, Do; Kreibich, Heidi (2023): Lookup table of the BN-FLEMO∆: A Bayesian Network-based Flood Loss Estimation Model for Ho Chi Minh City, Vietnam. GFZ Data Services. https://doi.org/10.5880/GFZ.4.4.2023.002

Status

I   N       R   E   V   I   E   W : Rafiezadeh Shahi, Kasra; Sairam, Nivedita; Schoppa, Lukas; Thanh Sang, Le; Ly Hoai Tan, Do; Kreibich, Heidi (2023): Lookup table of the BN-FLEMO∆: A Bayesian Network-based Flood Loss Estimation Model for Ho Chi Minh City, Vietnam. GFZ Data Services. https://doi.org/10.5880/GFZ.4.4.2023.002

Abstract

We construct a precomputed lookup table to predict flood loss to private households based on predictor variables from a Bayesian Network model (BN-FLEMO∆). BN-FLEMO∆ is a probabilistic model that provides multinomial probability distributions of relative building loss (i.e. absolute building loss/building value) in discrete classes. More information on the development of BN-FLEMO∆ can be found in Rafiezadeh Shahi et al. (2023).

The zip folder contains the precomputed lookup table, where all possible combinations of predictor and response values are stored. The lookup table contains an ID for each unique combination of possible predictor and response (i.e., relative loss) values. The file name is coded as “2023-002_Rafiezadeh Shahi-et-al_lookup.csv”.

Authors

  • Rafiezadeh Shahi, Kasra;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Sairam, Nivedita;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Schoppa, Lukas;GFZ German Research Centre for Geosciences, Potsdam, Germany;Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
  • Thanh Sang, Le;Southern Institute of Social Sciences, Ho Chi Minh city, Vietnam
  • Ly Hoai Tan, Do;Southern Institute of Social Sciences, Ho Chi Minh city, Vietnam
  • Kreibich, Heidi;GFZ German Research Centre for Geosciences, Potsdam, Germany

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Keywords

Bayesian Network, flood loss estimation model

GCMD Science Keywords

Files

License: CC BY 4.0