Due to recent climate change related issues critical floods of urban areas have started becoming more
and more common. Hence, a software able to estimate the likelihood of such an event could be a useful
tool in order to prevent the most dramatic scenarios.
For this reason we proposed the implementation of a Bayesian Network to model the likelihood of
floods in various municipalities of the Italian region Veneto. The structure of the network was inspired
by the paper Assessing urban flood disaster risk using Bayesian network model and GIS applications, although quite deeply modified for didactic reasons.
The project was developed in Python using the pgmpy
library as an assignment for the third module of the
Fundamentals of Artificial Intelligence and Knowledge Representation course
of the master degree in Artificial Intelligence of University of Bologna held by professor Paolo Torroni.
.
├── code
│ ├── data
│ │ ├── 05_Veneto_Allegato-statistico.xlsx # Data regarding general statistics on the region Veneto
│ │ ├── Elab_Altimetrie_DEM.xlsx # Data regarding the elevation of the italian municipalities
│ │ ├── Redditi_e_principali_variabili... # Data regarding the Italian population economy
│ │ └── codiceISTAT_schedaLR14_2017.ods # Data regarding general statistics on the territory of the region Veneto
│ ├── Flood Disaster Prediction.ipynb # Notebook containing the execution of the project
│ ├── extended_classes.py # Script extending the classes BayesianNetwork and ApproxInference
│ ├── graphics.py # Scripts containing graphical utils functions
│ ├── utils.py # Script containing utils functions
│ └── variables.py # Variable nodes of the Bayesian Network
├── report
│ └── Flood disaster prediction.pdf # Report about the project
├── .gitignore
├── LICENSE
└── README.md
Git is used for versioning.
Name | Surname | Username | |
---|---|---|---|
Antonio | Politano | [email protected] |
S1082351 |
Francesco | Pieroni | [email protected] |
HumidBore |
Riccardo | Spolaor | [email protected] |
RiccardoSpolaor |
This project is licensed under the MIT License - see the LICENSE file for details
Social preview image licensed by Flood Vectors by Vecteez