Publikationen

Matta, E., Özgen, I., Cabral, J., Candeias, A.L. & Hinkelmann, R. (2014). Simulation of Wind-Induced Flow and Transport in a Brazilian Bay [38].

Matta,E., Broecker,T., Özgen,I. & Hinkelmann,R. (2014). SP5-4: High resolution reservoir model. [39].

Matta, E. & Hinkelmann, R. (2015). SP5-4: High resolution multi-dimensional modelling, Annual Report of the INNOVATE Consortium 2014 [40]. , pp. 62-65 .

Matta, E and Duda, R and Scheer, C and Ma, Y and Zhang, Q and Hassan, A and Hinkelmann, R and Schellenberg, H and Schmid, A (2018). Water level predictions using neural networks in critical gauges of the Rhine River, Germany [41]. Proceedings of the 5th IAHR (International Association of Hydro-Environment Engineering and Research) Europe Congress - New Challenges in Hydraulic Research and Engineering, 12 – 14 June, 2018. ISBN: 978-981-11-2731-1, 1–2.

Matta, E. and Koch, H. and Selge, F. and Simshäuser, M.N. and Rossiter, K. and Nogueira da Silva, G. M. and Gunkel, G. and Hinkelmann, R. (2018). Modeling the impacts of climate extremes and multiple water uses to support water management in the Icó-Mandantes Bay, Northeast Brazil [43]. Journal of Water and Climate Change (IWA Publishing). IWA.

Matta, E., Simshäuser, M., N., Koch, H., Selge, F., Gunkel, G., Rossiter, K. & Hinkelmann, R. (2015). Modeling the interaction of multiple uses, climate and land-use changes in a bay of Itaparica reservoir, São Francisco river [45].

Matta,E., Selge,F., Gunkel,G., Rossiter,K., Jourieh,A. & Hinkelmann,R. (2015). Quantification of exchange processes between a bay and a river using a two-dimensional high-resolution flow and transport model [46].

Matta, Elena (2018). Multi-dimensional flow and transport modeling of a surface water body in a semi-arid area: The case of the Icó-Mandantes Bay, Northeast Brazil [47]. Technische Universität Berlin

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].

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? [49].

Matta, E., Moraes N. da Silva, G. , Lorenz, R., Gunkel, G. & Hinkelmann R. (2016). Estimation of water residence time in Icò-Mandantes bay using the TELEMAC-2D modeling system. [50].

Matta, E., Zounemat-Kermani, M., Cominola, A. and Hinkelmann., R. (2021). Machine learning in the hydro-environment: A brief review of recent applications [51]. IAHR AIRH, 681-682.

Matta, Elena and Cominola, Andrea and Zounemat-Kermani and Hinkelmann, Reinhard (2020). A review of recent applications of neurocomputing methods in urban hydraulics and hydrology [52]. First International Conference on Urban Water Interfaces (UWI). [Technische Universität Berlin, Urban Water Interfaces];, 44.

Matta, Elena (2018). Multi-dimensional flow and transport modeling of a surface water body in a semi-arid area: the case of the Icó-Mandantes Bay, Northeast Brazil [54]. TU Berlin , 102.

Matta E., Selge F., Gunkel G., Rossiter K., Jourieh A., Hinkelmann R. (2016). Simulations of nutrient emissions from a net cage aquaculture in a Brazilian bay [56]. Water Science and Technology, 2430-2435.