Horst Complex

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

Universitair hoofddocent
ET-CEM-MWM
Horst Complex W202
m.j.booij@utwente.nl
+31534892564
Visitekaartje

I am an associate professor in Hydrology at the University of Twente, the Netherlands. I hold an MSc degree in Hydrology and Quantitative Water Management from Wageningen University and a PhD degree in Hydrology and Climatology from the University of Twente. My research interests and activities focus on catchment hydrology in general and modelling of hydrological systems, assessment of environmental change impacts on hydrology and water resources and uncertainty analysis in particular. These research themes are reflected in my past and on-going research projects, international collaboration and over 150 scientific publications. I was and am involved in projects and studies in many countries in the world including Indonesia, China, Vietnam, Pakistan, Iran, Ethiopia, Kenya, Germany, France and Belgium. I teach in the area of hydrology, hydrological modelling and water management and supervise PhD students, MSc theses and BSc theses. I have contributed to international training courses in Indonesia and China and provided guest lectures and keynotes in several countries (e.g. China, Pakistan, India, Thailand, Vietnam, Poland).

For more information please see here and check my Google Scholar and ResearchGate pages for the latest updates.

Expertises

  • Earth and Planetary Sciences

    • Model
    • River
    • Investigation
    • Catchment
    • Streamflow
    • Low Flow
    • Climate Change
    • Structural Basin

Organisaties

Publicaties

Jump to: 2025 | 2024

2025

Robustness of hydrological models for simulating impacts of climate change on high and low streamflow (2025)Journal of hydrology, 662(Part A). Article 133734. Ten Berge, A. A., Booij, M. J. & Rientjes, T. H. M.https://doi.org/10.1016/j.jhydrol.2025.133734Water level simulation in rivers: Exploring alternatives to traditional roughness calibration (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Khorsandi Kuhanestani, P.https://doi.org/10.3990/1.9789036568784Water level simulation in rivers: Exploring alternatives to traditional roughness calibration (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Khorsandi Kuhanestani, P.https://doi.org/10.3990/1.9789036568784Hydraulic river model calibration and validation for comprehensive hydrograph simulation:: Evaluating accuracy across discharge ranges (2025)Journal of hydrology, 660(Part A). Article 133210. Kuhanestani, P. K., Bomers, A., Booij, M. J. & Hulscher, S. J. M. H.https://doi.org/10.1016/j.jhydrol.2025.133210Evaluation of crop growth simulation by use of satellite rainfall estimates in Lake Victoria basin (2025)Agricultural water management, 318, 109731. Article 109731. Omondi, C. K., Rientjes, T. H. M., Booij, M. J. & Nelson, A. D.https://doi.org/10.1016/j.agwat.2025.109731Determining virtual water, physical and economic indices to optimize agricultural water consumption in three different climates (2025)International journal of environmental science and technology, 22(5), 2941-2954. Amini, A., Othman, K., Abassi, F. & Booij, M. J.https://doi.org/10.1007/s13762-024-05967-0Quantifying the relative contributions of rainfall and antecedent soil moisture to flood generation: Analysis of 963 Iranian catchments (2025)Journal of arid environments, 227, 105328. Article 105328. Jahanshahi, A. & Booij, M. J.https://doi.org/10.1016/j.jaridenv.2025.105328Drought Dynamics and Vulnerability—Preface (2025)Hydrological processes, 39(2). Article e70071. Nones, M., Booij, M. J., Karamuz, E. & Wang, W.https://doi.org/10.1002/hyp.70071Uncertainty quantification in sequential hybrid deep transfer learning for solar irradiation predictions (2025)Engineering applications of artificial intelligence, 141, 109874. Article 109874. Nourani, V., Behfar, N., Booij, M. J., Ng, A., Zhang, C. & Mohammadisepasi, S.https://doi.org/10.1016/j.engappai.2024.109874Dependence of rainfall–runoff model performance on calibration conditions under changing climatic conditions (2025)Hydrological sciences journal (E-pub ahead of print/First online). Jahanshahi, A., Booij, M. J. & Patil, S. D.https://doi.org/10.1080/02626667.2024.2441325Evaluating the effect of mesh resolution on hydraulic modeling results under various discharge levels (2025)In River Flow 2024: Proceedings of the 12th International Conference on Fluvial Hydraulics, Liverpool, UK, 2nd - 6th September, 2024 (pp. 399-404). Routledge. Kuhanestani, P. K., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.https://doi.org/10.1201/9781003475378

2024

Evolution of global water footprints of crop production in 1990–2019 (2024)Environmental research letters, 19(11). Article 114015. Mialyk, O., Booij, M. J., Schyns, J. F. & Berger, M.https://doi.org/10.1088/1748-9326/ad78e9An ensemble-based projection of future hydro-climatic extremes in Iran (2024)Journal of hydrology, 642, 131892. Jahanshahi, A., Booij, M. J., Patil, S. D. & Gupta, H.https://doi.org/10.1016/j.jhydrol.2024.131892Spatial and temporal patterns of global crop water footprints (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Mialyk, O.https://doi.org/10.3990/1.9789036562058Increasing the water level accuracy in hydraulic river simulation by adapting mesh level elevation (2024)Environmental modelling & software, 180, 106135. Article 106135. Khorsandi kuhanestani, P., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.https://doi.org/10.1016/j.envsoft.2024.106135The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN one Global world (HELPING) (2024)Hydrological sciences journal, 69(11), 1417-1435. Arheimer, B., Cudennec, C., Castellarin, A., Grimaldi, S., Heal, K. V., Lupton, C., Sarkar, A., Tian, F., Kileshye Onema, J.-M., Archfield, S., Blöschl, G., Borges Chaffe, P. L., Croke, B. F. W., Dembélé, M., Leong, C., Mijic, A., Mosquera, G. M., Nlend, B., Olusola, A. O., … Xia, J.https://doi.org/10.1080/02626667.2024.2355202Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models (2024)Hydrological sciences journal, 69(7), 861-877. Behfar, N., Booij, M. J. & Nourani, V.https://doi.org/10.1080/02626667.2024.2345151Comparison of satellite-based and reanalysis precipitation products for hydrological modeling over a data-scarce region (2024)Climate dynamics, 62(5), 3505-3537. Jahanshahi, A., Roshun, S. H. & Booij, M. J.https://doi.org/10.1007/s00382-023-07078-xReal time probabilistic inundation forecasts using a LSTM neural network (2024)Journal of hydrology, 635. Article 131082. Hop, F. j., Linneman, R., Schnitzler, B., Bomers, A. & Booij, M. j.https://doi.org/10.1016/j.jhydrol.2024.131082Satellite rainfall bias correction incorporating effects on simulated crop water requirements (2024)International journal of remote sensing, 45(7), 2269-2288. Omondi, C. K., Rientjes, T. H. M., Booij, M. J. & Nelson, A. D.https://doi.org/10.1080/01431161.2024.2326801Increasing water footprints of flex crops (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. Mialyk, O., Berger, M. & Booij, M. J.https://doi.org/10.5194/egusphere-egu24-1342Drought index downscaling using AI-based ensemble technique and satellite data (2024)Theoretical and applied climatology, 155(3), 2379-2397. Behfar, N., Sharghi, E., Nourani, V. & Booij, M. J.https://doi.org/10.1007/s00704-023-04822-5Improving mesh set-up increase accuracy of discharge capacity representation for water level prediction (2024)[Contribution to conference › Abstract] NCR Days 2024. Khorsandi Kuhanestani, P., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.https://cdn.bullit.digital/kbase/20240227205343/ncr-54-book_of_abstracts_ncrdays_2024_web.pdfModel identification and accuracy for estimation of suspended sediment load (2024)Geocarto international, 37(27), 18520-18545. Khosravi, K., Golkarian, A., Saco, P. M., Booij, M. J. & Melesse, A. M.https://doi.org/10.1080/10106049.2022.2142964Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model (2024)Scientific Data, 11. Article 206. Mialyk, O., Schyns, J. F., Booij, M. J., Su, H., Hogeboom, R. J. & Berger, M.https://doi.org/10.1038/s41597-024-03051-3

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