Publikationen

Berkhahn, S. and Neuweiler, I. (2024): Data driven real-time prediction of urban floods with spatial and temporal distribution,  Journal of Hydrology X 22
DOI: https://doi.org/10.1016/j.hydroa.2023.100167
ISSN: 100167

Rözer V., A. Peche, S. Berkhahn, Y. Feng, L. Fuchs, T. Graf, U. Haberlandt, H. Kreibich, R. Sämann, M. Sester, B. Shehu, J. Wahl, I. Neuweiler (2021): Impact‐Based Forecasting for Pluvial Floods,  Earth's Future 9(2)
DOI: 10.1029/2020EF001851

Berkhahn, S., L. Fuchs and I. Neuweiler (2019): An ensemble neural network model for real-time prediction of urban floods,  Journal of Hydrology 575, 743-754

Berkhahn, S., I. Neuweiler, J. Gräfe, C. Gottlieb (2019): Impact of using moving rain events as input for numerical urban floodsimulations,  EGU 04/2019, Poster Programme, Vienna, Austria

Berkhahn S. (2018): A neural network approach for water level prediction in urban areas,  Ph.D. Seminar – Chair of Hydrology and River Basin Management, Munich, Germany

Berkhahn, S., I. Neuweiler, L. Fuchs (2018): Real-Time Water Level Prediction Based on Artificial Neural Networks,  11th International Conference on Urban Drainage Modelling, Palermo, Italy

Berkhahn, S., L. Fuchs, I. Neuweiler (2017): Artificial neural network for two-dimensional urban flood simulation and real-time forecasting,  14th International Conference on Urban Drainage, 9/2017, Prague, Czech Republic

Berkhahn, S., R. Sämann, B. Shehu, I. Neuweiler and U. Haberlandt (2020): Unvertainty of real-time prediction for pluvial Urban floods: A case study,  Proceedings of the 29th European Safety and Reliability Conference, ESREL, Hannover

Fuchs, L., T. Graf, U. Haberlandt, H. Kreibich, I. Neuweiler, M. Sester, S. Berkhahn, Y. Feng, A. Peche, V. Rözer, R. Sämann, B. Shehu, J. Wahl (2017): Real-Time Prediction of Pluvial Floods and Induced Water Contamination,  17th International Conference on Urban Drainage, 9/2017, Prague

Berkhahn, S., I. Neuweiler, L. Fuchs (2018): Real-Time Water Level Prediction Based on Artificial Neural Networks,  New Trends in Urban Drainage Modelling, 603-607, Springer, Cham
DOI: 10.1007/978-3-319-99867-1