Publikationen

Brinkmann,P.J., Heinl,M. & HollÄNder,R. (1988). Grundwasserströmung im Nubischen Aquifersystem, Nordost-Afrika..

Kobayashi,K., Hinkelmann,R., Helmig,R., Takar,K. & Tamai,N. (2007). A Numerical Experiment with Two-Phase and Two-Phase/Three-Component Models for the Methane Migration in the Subsurface Aquifer..

Schwenke,S., Marth,R., Rouault,P. Woltering,S. & Hinkelmann,R. (2007). Der wettbewerbliche Dialog als neues Vergabeverfahren für die öffentliche Hand am Beispiel der Kaiserschleuse Bremerhaven..

Brinkmann,P.J., Heinl,M., HollÄNder,R. & Reich,G. (1987). Retrospective Simulation of Groundwater Flow and Transport in the Nubian Aquifer System..

Jourieh,A. (2015). Multi‐dimensional Numerical Simulation of Hydrodynamics and Transport Processes in Surface Water Systems in Berlin. Shaker Verlag.

Gessessew,U. (2020). Modelling Flash Floods in Ungauged Catchment Areas in Semi-Arid Region, Nothern Ethiopia.

Schankat, M., Hinkelmann,R. & SchlÜTer,M. (2007). Numerical Modelling of Density-Driven Flow and Transport Processes in a Coastal Aquifer - Submarine Groundwater Discharge from Seeps..

Liniger, HP., Mekdaschi Studer, R., Moll, P., Zander, U. (2017). Making sense of research for sustainable land management..

Zounemat-Kermani,M., Matta,E. & Hinkelmann,R. (2020). Anwendung von künstlichen neuronalen Netzen im Wasserbau. Selbstverlag der Technischen Universität Dresden.

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, 1979-1989.

Thorweihe,U., Brinkmann,P.J., Heinl,M. & Sonntag,C. (1990). Hydrological and Hydrogeological Investigations in the Dafur Area, Western Sudan..

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.

Thorweihe,U. & Heinl,M. (1998). Groundwater Resources of the Nubian Aquifer System..

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?.

Heinl,M. (1995). Groundwater Model of the Nubian Aquifer System North-East Africa..