EGU22-12328
https://doi.org/10.5194/egusphere-egu22-12328
EGU General Assembly 2022
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.Flood susceptibility mapping using an Artificial Neural Network model: the case study of Southern Italy
- 1Politecnico di Milano, Department of Civil and Environmental Engineering, Milano, Italy
- 2Department of Civil, Environmental and Architectural Engineering, Università degli Studi di Napoli Federico II, Napoli, 80125, Italy
- 3Fondazione Politecnico di Milano, Milano, 20133, Italy
How to cite: Del Vecchio, M., Balestra, F., Pedone, M. A., Pirone, D., Spina, D., Manfreda, S., and Menduni, G.: Flood susceptibility mapping using an Artificial Neural Network model: the case study of Southern Italy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12328, https://doi.org/10.5194/egusphere-egu22-12328, 2022.