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2019

Özgen, I., Zhao, J. and Hinkelmann, R. (2019). A contribution to momentum head loss models in porous shallow water models [38].


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 [39]. Journal of Hydrology, 647 - 665.

Link to publication [40]

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 [41]. Computers & Mathematics with Applications, 576 - 596.

Link to publication [42]

Zhao, Jiaheng (2019). Fully coupled robust shallow water flow and sediment transport model on unstructured grids [43]. Technische Universität Berlin


Abdelrahman,A., Tügel,F. & Hinkelmann,R. (2019). Modelling and analysis of rainfall-runoff processes in the Wadi Bili catchmant in Egypt [44].


Lobanova, Anastasia (2019). The assessment of hydrological impacts of climate change and their implications for water management across scales: from the local to European scale [45]. Technische Universität Berlin


Ghazal,A., Sieker,H., Hinkelmann,R. & Tügel,F. (2019). Urban Fllod Mitigation in Arid Regions using Sustainable Urban Drainage Systems (SUDS) [46].


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 [47]. 38th IAHR World Congress Panama City 2019, Water - Connecting the world, 1979-1989.


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 [48].


Broecker, Tabea and Teuber, Katharina and Sobhi Gollo, Vahid and Nützmann, Gunnar and Lewandowski, Jörg and Hinkelmann, Reinhard (2019). Integral Flow Modelling Approach for Surface Water-Groundwater Interactions along a Rippled Streambed [49]. Water

Link to publication [50]

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? [51].


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 [52]. Journal of Hydrology, 124176.

Link to publication [53]

Schellenberg, H. and Schmid, A. and Tretter, G. and Meißner, D. and Richter, J. and Matta, E. and Hinkelmann, R. (2019). Entwicklung eines digitalen Schifffahrtsassistenten (DSA) [54]. , 96.


Matta, E.; Hinkelmann, R. (2019). DSA Sachbericht (FKZ : 19F2051D; mFund Forschungsinitiative) [55]. , 1–16.


Matta, E.; Hinkelmann, R. (2019). DSA Erfolgskontrollbericht (FKZ : 19F2051D; mFund Forschungsinitiative) [56]. , 3–6.


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