Horst Complex

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

Universitair hoofddocent
ET-CEM-MWM
Horst Complex W210
m.j.booij@utwente.nl
+31534892564
Visitekaartje

Expertises

  • Earth and Planetary Sciences

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

Organisaties

Publicaties

Jump to: 2024 | 2023 | 2022

2024

Spatial 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.2024.106135Real 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 (E-pub ahead of print/First online). Mialyk, O., Schyns, J. F., Booij, M. J., Su, H., Hogeboom, R. J. & Berger, M.https://doi.org/10.1038/s41597-024-03051-3Global gridded crop model ACEA (2024)[Dataset Types › Dataset]. Zenodo. Mialyk, O., Su, H., Hogeboom, R. J., Schyns, J. F. & Booij, M. J.https://doi.org/10.5281/zenodo.10510933Flood process types and runoff coefficient variability in climatic regions of Iran (2024)Hydrological sciences journal, 69(2), 241-258. Jahanshahi, A. & Booij, M. J.https://doi.org/10.1080/02626667.2024.2302420

2023

Comparison between statistical and dynamical downscaling of rainfall over the Gwadar‐Ormara basin, Pakistan (2023)Meteorological Applications, 30(5). Article e2151. Attique, R., Rientjes, T. & Booij, M.https://doi.org/10.1002/met.2151Data underlying the publication: Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model (2023)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Mialyk, O., Schyns, J. F., Booij, M. J., Su, H., Hogeboom, R. J. & Berger, M.https://doi.org/10.4121/7b45bcc6-686b-404d-a910-13c87156716aKey trends and opportunities in water footprints of crop production (2023)[Contribution to conference › Abstract] EGU General Assembly 2023. Mialyk, O., Booij, M. J., Hogeboom, R. J. & Berger, M.https://doi.org/10.5194/egusphere-egu23-1556Exploring controls on rainfall–runoff events: spatial dynamics of event runoff coefficients in Iran (2023)Hydrological sciences journal, 68(7), 954-966. Jahanshahi, A. & Booij, M. J.https://doi.org/10.1080/02626667.2023.2193297Improving mesh set-up to increase cross-sectional-area accuracy for water-level prediction (2023)[Contribution to conference › Abstract] 40th IAHR World Congress: Rivers - Connecting mountains and coasts. Khorsandi Kuhanestani, P., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.Improving mesh set-up to increase discharge capcity accuracy for water level prediction (2023)[Contribution to conference › Abstract] NCR Days 2023. Khorsandi Kuhanestani, P., Bomers, A., Booij, M. J., Warmink, J. J. & Hulscher, S. J. M. H.https://cdn.bullit.digital/kbase/20230411204005/ncr-51-book_of_abstracts_ncrdays_2023_web.pdfSimulated annealing coupled with a Naïve Bayes model and base flow separation for streamflow simulation in a snow dominated basin (2023)Stochastic environmental research and risk assessment, 37(1), 89-112. Tongal, H. & Booij, M. J.https://doi.org/10.1007/s00477-022-02276-1Uncertainty analysis of risk-based flood safety standards in the Netherlands through a scenario-based approach (2023)International journal of river basin management, 21(3), 559-574. Westerhof, S. G., Booij, M. J., van den Berg, M. C. J., Huting, R. J. M. & Warmink, J. J.https://doi.org/10.1080/15715124.2022.2060243

2022

Evaluation of MODIS-Landsat and AVHRR-Landsat NDVI data fusion using a single pair base reference image: a case study in a tropical upstream catchment on Java, Indonesia (2022)International journal of digital earth, 15(1), 164-197. Rustanto, A. & Booij, M. J.https://doi.org/10.1080/17538947.2021.2018057Innovative polygon trend analysis of monthly precipitation (1952–2015) in the Hindukush‐Karakoram‐Himalaya river basins of Pakistan (2022)International journal of climatology, 42(16), 9967-9993. Ahmed, N., Lü, H., Booij, M. J., Wang, G., Marhaento, H., Bhat, M. S. & Adnan, S.https://doi.org/10.1002/joc.7875Variations in hydrological variables using distributed hydrological model in permafrost environment (2022)Ecological indicators, 145. Article 109609. Ahmed, N., Wang, G., Booij, M. J., Marhaento, H., Pordhan, F. A., Ali, S., Munir, S. & Hashmi, M. Z.-u.-r.https://doi.org/10.1016/j.ecolind.2022.109609Use of machine learning and geographical information system to predict nitrate concentration in an unconfined aquifer in Iran (2022)Journal of cleaner production, 360. Article 131847. Gholami, V. & Booij, M. j.https://doi.org/10.1016/j.jclepro.2022.131847Influences of reservoir operation on terrestrial water storage changes detected by GRACE in the Yellow River basin (2022)Journal of hydrology, 610. Article 127924. Xie, J., Xu, Y.-p., Booij, M. J. & Guo, Y.https://doi.org/10.1016/j.jhydrol.2022.127924Satellite rainfall bias assessment for crop growth simulation: a case study of rainfed maize growth (2022)[Contribution to conference › Poster] 5th International Conference on the Use of Space Technology for Water Management 2022<br/>. Omondi, C. K., Rientjes, T. H. M., Booij, M. J. & Nelson, A. D.

Onderzoeksprofielen

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