Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability
Caradot, N, Sampaio, Ph R, Guilbert, A S, Sonnenberg, H, Parez, V, Dimova, V
Published in Water science and technology (01.02.2021)
Published in Water science and technology (01.02.2021)
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Journal Article
Practical benchmarking of statistical and machine learning models for predicting the condition of sewer pipes in Berlin, Germany
Caradot, N., Riechel, M., Fesneau, M., Hernandez, N., Torres, A., Sonnenberg, H., Eckert, E., Lengemann, N., Waschnewski, J., Rouault, P.
Published in Journal of hydroinformatics (01.09.2018)
Published in Journal of hydroinformatics (01.09.2018)
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Journal Article
The evaluation of rainfall influence on combined sewer overflows characteristics: the Berlin case study
SANDOVAL, S, TORRES, A, PAWLOWSKY-REUSING, E, RIECHEL, M, CARADOT, N
Published in Water science and technology (01.01.2013)
Published in Water science and technology (01.01.2013)
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Journal Article
Best data handling practices in water-related research
Sonnenberg, H, Rustler, M, Riechel, M, Caradot, N, Rouault, P, Matzinger, A
Published in Water practice and technology (01.09.2013)
Published in Water practice and technology (01.09.2013)
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Journal Article
An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume
Fatone, Francesco, SzelÄg, Bartosz, Kowal, Przemyslaw, McGarity, Arthur, Kiczko, Adam, Walek, Grzegorz, Wojciechowska, Ewa, Stachura, Michal, Caradot, Nicolas
Published in Hydrology and earth system sciences (20.09.2023)
Published in Hydrology and earth system sciences (20.09.2023)
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Journal Article