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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.


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


Liang, D., Özgen, I., Hinkelmann, R., Xiao, Y. & Chen, J. M. (2015). Shallow water simulation of overland flows in idealised catchments. Environmental Earth Sciences. Springer Berlin Heidelberg, 7307–7318.

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Li, Bingyao and Hou, Jingming and Li, Donglai and Yang, Dong and Han, Hao and Bi, Xu and Wang, Xinghua and Hinkelmann, Reinhard and Xia, Junqiang (2021). Application of LiDAR UAV for High-Resolution Flood Modelling. Water Resources Management

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Jingsi Li and Liangjun Fei and Shan Li and Cai Xue and Zhongxing Shi and Reinhard Hinkelmann (2020). Development of “water-suitable” agriculture based on a statistical analysis of factors affecting irrigation water demand. Science of The Total Environment, 140986.

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