DrRoad / Flood-disaster-prediction

This project is developed in Python and it proposes the development of a Bayesan Network to infer the probabilities of serious floods in the territory of the Italian region Veneto.

🌍 Flood Disaster Prediction 🌊

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.

Repository structure

.
├── 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

Versioning

Git is used for versioning.

Group members

Name	Surname	Email	Username
Antonio	Politano	[e-mail]	S1082351
Francesco	Pieroni	[e-mail]	HumidBore
Riccardo	Spolaor	[e-mail]	RiccardoSpolaor

License

This project is licensed under the MIT License - see the LICENSE file for details

Social preview image licensed by Flood Vectors by Vecteez