dr.ir. M.J. Booij (Martijn)

Universitair hoofddocent


Earth & Environmental Sciences
Climate Change
Low Flow
River Basin
Water Footprint


Hop, F. J., Linneman, R., Schnitzler, B. , Bomers, A. , & Booij, M. J. (2024). Real time probabilistic inundation forecasts using a LSTM neural network. Journal of hydrology, 635, Article 131082. Advance online publication. https://doi.org/10.1016/j.jhydrol.2024.131082
Behfar, N., Sharghi, E., Nourani, V. , & Booij, M. J. (2024). Drought index downscaling using AI-based ensemble technique and satellite data. Theoretical and applied climatology, 155(3), 2379-2397. https://doi.org/10.1007/s00704-023-04822-5
Khosravi, K., Golkarian, A., Saco, P. M. , Booij, M. J., & Melesse, A. M. (2024). Model identification and accuracy for estimation of suspended sediment load. Geocarto international, 37(27), 18520-18545. https://doi.org/10.1080/10106049.2022.2142964
Mialyk, O., Berger, M. , & Booij, M. J. (2024). Increasing water footprints of flex crops. Abstract from EGU General Assembly 2024, Vienna, Austria. https://doi.org/10.5194/egusphere-egu24-1342
Westerhof, S. G. , Booij, M. J., van den Berg, M. C. J., Huting, R. J. M. , & Warmink, J. J. (2023). Uncertainty analysis of risk-based flood safety standards in the Netherlands through a scenario-based approach. International journal of river basin management, 21(3), 559-574. https://doi.org/10.1080/15715124.2022.2060243
Ahmed, N., Wang, G. , Booij, M. J. , Marhaento, H., Pordhan, F. A., Ali, S., Munir, S., & Hashmi, M. Z. (2022). Variations in hydrological variables using distributed hydrological model in permafrost environment. Ecological indicators, 145, Article 109609. https://doi.org/10.1016/j.ecolind.2022.109609
Khorsandi Kuhanestani, P. , Bomers, A. , Booij, M. J. , Warmink, J. J. , & Hulscher, S. J. M. H. (2022). Calibration approaches for hydraulic river models for high and low flows: A review. In M. Ortega-Sánchez (Ed.), Proceedings 39th IAHR World Congress, 19-24 June 2022, Granada, Spain (Proceedings IAHR World Congress; Vol. 2022, No. 39). IAHR. https://cmswebonline.com/iahr2022/epro/pdf/08-01-005-786.pdf
Omondi, C. K. , Rientjes, T. H. M. , Booij, M. J. , & Nelson, A. D. (2022). Satellite rainfall bias assessment for crop growth simulation: a case study of rainfed maize growth. 1-12. Poster session presented at 5th International Conference on the Use of Space Technology for Water Management 2022
, Accra, Ghana.

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Universiteit Twente
Faculty of Engineering Technology
Horst Complex (gebouwnr. 20), kamer W210
De Horst 2
7522LW  Enschede

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Universiteit Twente
Faculty of Engineering Technology
Horst Complex  W210
Postbus 217
7500 AE Enschede

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