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TU Berlin

Inhalt des Dokuments

Publikationen

BibTex-ListeAlle

2020

Tian Wang and Peng Li and Ying Liu and Jingming Hou and Zhanbin Li and Zongping Ren and Shengdong Cheng and Jiaheng Zhao and Reinhard Hinkelmann (2020). Experimental investigation of freeze-thaw meltwater compound erosion and runoff energy consumption on loessal slopes. CATENA, 104310.

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2019

Hou, Jingming and Zhang, Yangwei and Tong, Yu and Guo, Kaihua and Qi, Wenchao and Hinkelmann, Reinhard (2019). Experimental study for effects of terrain features and rainfall intensity on infiltration rate of modelled permeable pavement. Journal of Environmental Management, 177-186.


Teuber, Katharina and Broecker, Tabea and Bentzen, Thomas Ruby and Stephan, Dietmar and Nützmann, Gunnar and Hinkelmann, Reinhard (2019). Using computational fluid dynamics to describe H2S mass transfer across the water–air interface in sewers. Water Science and Technology, 1934-1946.

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Teuber, K., Broecker, T., Bayon, A., Nützmann, G. & Hinkelmann, R. (2019). CFD-modelling of free surface flows in closed conduits. Progress in Computational Fluid Dynamics, 368-380.


Özgen, I., Zhao, J. and Hinkelmann, R. (2019). A contribution to momentum head loss models in porous shallow water models.


Jiaheng Zhao and Ilhan Özgen-Xian and Dongfang Liang and Tian Wang and Reinhard Hinkelmann (2019). A depth-averaged non-cohesive sediment transport model with improved discretization of flux and source terms. Journal of Hydrology, 647 - 665.

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Jiaheng Zhao and Ilhan Özgen-Xian and Dongfang Liang and Tian Wang and Reinhard Hinkelmann (2019). An improved multislope MUSCL scheme for solving shallow water equations on unstructured grids. Computers & Mathematics with Applications, 576 - 596.

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Ghazal,A., Sieker,H., Hinkelmann,R. & Tügel,F. (2019). Urban Fllod Mitigation in Arid Regions using Sustainable Urban Drainage Systems (SUDS).


Ma, Y. and Matta, E. and Meißner, D. and Schellenberg, H. and Hinkelmann, R. (2019). Can machine learning improve the accuracy of water level forecasts for inland navigation? Case study: Rhine River Basin, Germany. 38th IAHR World Congress Panama City 2019, Water - Connecting the world


Matta, E. and Ma, Y. and Meißner, D. and Schellenberg, H. and Hinkelmann, R. (2019). Artificial neural networks to forecast water levels for inland navigation in the Rhine River, Germany.


Matta,E., Ma,Y., Meißner,D., Richter,J., Schellenberg,H., Schmid,A. & Hinkelmann,R. (2019). Kann Machine Learning die operationelle Wasserstandsvorhersage für die Binnenschifffahrt verbessern?.


Jingming Hou and Hao Han and Wenchao Qi and Kaihua Guo and Zhanbin Li and Reinhard Hinkelmann (2019). Experimental investigation for impacts of rain storms and terrain slopes on low impact development effect in an idealized urban catchment. Journal of Hydrology, 124176.

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