Publikationen

Teuber, K., Broecker, T., Bayon, A., Nützmann, G. & Hinkelmann, R. (2019). CFD-modelling of free surface flows in closed conduits [38]. Progress in Computational Fluid Dynamics, 368-380.

Schmid, A., Schellenberg, H., Tretter, G., Meißner, D., Hinkelmann, R., Matta, E. & Scheer, C. (2019). DSA Forschugsbericht (FKZ: 19F2051A bis D; mFund Forschungsinitiative) [39]. , 1-96.

Mohammad Zounemat-Kermani and Dietmar Stephan and Reinhard Hinkelmann (2019). Multivariate NARX neural network in prediction gaseous emissions within the influent chamber of wastewater treatment plants [40]. Atmospheric Pollution Research, 1812 - 1822.

Özgen, I., Zhao, J. and Hinkelmann, R. (2019). A contribution to momentum head loss models in porous shallow water models [42].

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

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

Zhao, Jiaheng (2019). Fully coupled robust shallow water flow and sediment transport model on unstructured grids [47]. Technische Universität Berlin

Abdelrahman,A., Tügel,F. & Hinkelmann,R. (2019). Modelling and analysis of rainfall-runoff processes in the Wadi Bili catchmant in Egypt [48].

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 [49]. Technische Universität Berlin

Ghazal,A., Sieker,H., Hinkelmann,R. & Tügel,F. (2019). Urban Fllod Mitigation in Arid Regions using Sustainable Urban Drainage Systems (SUDS) [50].

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 [51]. 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 [52].

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 [53]. Water

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? [55].

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 [56]. Journal of Hydrology, 124176.