Articles | Volume 10, issue 9
https://doi.org/10.5194/gmd-10-3391-2017
https://doi.org/10.5194/gmd-10-3391-2017
Model description paper
 | 
14 Sep 2017
Model description paper |  | 14 Sep 2017

A Bayesian framework based on a Gaussian mixture model and radial-basis-function Fisher discriminant analysis (BayGmmKda V1.1) for spatial prediction of floods

Dieu Tien Bui and Nhat-Duc Hoang

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Short summary
A probabilistic model, named BayGmmKda, is proposed for flood susceptibility assessment in central Vietnam. The model is a combination of Gaussian mixture model and radial-basis-function Fisher discriminant analysis. A geographic information system (GIS) database has been established for model construction. The proposed model can accurately establish a flood susceptibility map for the study region. Local authorities can use this map for land-use planning.