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

Earth & Environmental Sciences

# Basin
# Catchment
# Climate Change
# Low Flow
# River
# River Basin
# Streamflow
# Water Footprint

Faculty of Engineering Technology (ET), Multidisciplinary Water Management (MWM)

Khorsandi Kuhanestani, P. , Bomers, A. , Booij, M. J. , Warmink, J. J. , & Hulscher, S. J. M. H. (2023). Improving mesh set-up to increase discharge capcity accuracy for water level prediction. 54-55. Paper presented at NCR Days 2023, Nijmegen, Netherlands. https://cdn.bullit.digital/kbase/20230411204005/ncr-51-book_of_abstracts_ncrdays_2023_web.pdf

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, [109609]. https://doi.org/10.1016/j.ecolind.2022.109609

Ahmed, N., L"u, H. , Booij, M. J., Wang, G. , Marhaento, H., Bhat, M. S., & Adnan, S. (2022). Innovative polygon trend analysis of monthly precipitation (1952–2015) in the Hindukush‐Karakoram‐Himalaya river basins of Pakistan. International journal of climatology, 42(16), 9967-9993. https://doi.org/10.1002/joc.7875

Xie, J., Xu, Y. , Booij, M. J., & Guo, Y. (2022). Influences of reservoir operation on terrestrial water storage changes detected by GRACE in the Yellow River basin. Journal of hydrology, 610, [127924]. https://doi.org/10.1016/j.jhydrol.2022.127924

Gholami, V. , & Booij, M. J. (2022). Use of machine learning and geographical information system to predict nitrate concentration in an unconfined aquifer in Iran. Journal of cleaner production, 360, [131847]. https://doi.org/10.1016/j.jclepro.2022.131847

Ekmekcioğlu, Ö. , Demirel, M. C. , & Booij, M. J. (2022). Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin. Hydrological sciences journal, 67(5), 759-772. https://doi.org/10.1080/02626667.2022.2046754

Khorsandi Kuhanestani, P. , Bomers, A. , Booij, M. J. , Warmink, J. J. , & Hulscher, S. J. M. H. (2022). Inventing a hydraulic river modelling approach to simulate high flow and low flow conditions. 58-59. Abstract from NCR days 2022, Delft, Netherlands.

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 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. Poster session presented at 5th International Conference on the Use of Space Technology for Water Management 2022
, Accra, Ghana.

Rustanto, A. , & Booij, M. J. (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. International journal of digital earth, 15(1), 164-197. https://doi.org/10.1080/17538947.2021.2018057

Gholami, V., Khaleghi, M. R., Pirasteh, S. , & Booij, M. J. (2022). Comparison of Self-Organizing Map, Artificial Neural Network, and Co-Active Neuro-Fuzzy Inference System Methods in Simulating Groundwater Quality: Geospatial Artificial Intelligence. Water resources management, 36(2), 451-469. https://doi.org/10.1007/s11269-021-02969-2

Ahmed, N., Wang, G. , Booij, M. J., Xiangyang, S., Hussain, F., & Nabi, G. (2022). Separation of the Impact of Landuse/Landcover Change and Climate Change on Runoff in the Upstream Area of the Yangtze River, China. Water resources management, 36(1), 181-201. https://doi.org/10.1007/s11269-021-03021-z

Ahmed, N., Wang, G., Lü, H. , Booij, M. J. , Marhaento, H., Prodhan, F. A., Ali, S., & Ali Imran, M. (2022). Attribution of Changes in Streamflow to Climate Change and Land Cover Change in Yangtze River Source Region, China. Water, 14(2), 259. [259]. https://doi.org/10.3390/w14020259

Westerhof, S. G. , Booij, M. J., Van Den Berg, M. C. J., Huting, R. J. M. , & Warmink, J. J. (2022). Uncertainty analysis of risk-based flood safety standards in the Netherlands through a scenario-based approach. International journal of river basin management. https://doi.org/10.1080/15715124.2022.2060243

Schyns, J., Albers, L. , & Booij, M. (2022). Translating blue water footprint caps for a river basin to caps per sub-catchment: trade-offs between upstream-downstream uses and the environment. EGU22-9224. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-9224

Mialyk, O. , Schyns, J. F. , & Booij, M. J. (2022). Historical simulation of crop water and land footprints. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-2022

Ahmed, N., Wang, G. , Booij, M. J., Ceribasi, G., Bhat, M. S., Ceyhunlu, A. I., & Ahmed, A. (2022). Changes in monthly streamflow in the Hindukush–Karakoram–Himalaya Region of Pakistan using innovative polygon trend analysis. Stochastic environmental research and risk assessment, 36, 811-830. https://doi.org/10.1007/s00477-021-02067-0

Mialyk, O. , Schyns, J. F. , Booij, M. J. , & Hogeboom, R. J. (2022). Historical simulation of maize water footprints with a new global gridded crop model ACEA. Hydrology and earth system sciences, 26(4), 923-940. https://doi.org/10.5194/hess-26-923-2022

Krol, M. S. , Booij, M. J. , Hogeboom, R. J., Karandish, F. , Schyns, J. F. , & Wang, R. (2021). Arjen Y. Hoekstra: A Water Management Researcher to Be Remembered. Water, 14(1), 50. [50]. https://doi.org/10.3390/w14010050

Albers, L. T. , Schyns, J. F. , Booij, M. J., & Zhuo, L. (2021). Blue water footprint caps per sub-catchment to mitigate water scarcity in a large river basin: The case of the Yellow River in China. Journal of hydrology, 603(Part C), 126992. [126992]. https://doi.org/10.1016/j.jhydrol.2021.126992

Marhaento, H. , Booij, M. J., Rahardjo, N., & Ahmed, N. (2021). Impacts of forestation on the annual and seasonal water balance of a tropical catchment under climate change. Forest Ecosystems, 8(1), [64]. https://doi.org/10.1186/s40663-021-00345-5

Khosravi, K., Golkarian, A. , Booij, M. J., Barzegar, R., Sun, W., Yaseen, Z. M., & Mosavi, A. (2021). Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithms. Hydrological sciences journal, 66(9), 1457-1474. https://doi.org/10.1080/02626667.2021.1928673

Omondi, C. K. , Rientjes, T. , Booij, M. J. , & Nelson, A. D. (2021). Satellite rainfall bias assessment for crop growth simulation: A case study of maize growth in Kenya. Agricultural water management, 258, 1-14. [107204]. https://doi.org/10.1016/j.agwat.2021.107204

Gao, C., Guan, X. , Booij, M. J., Meng, Y., & Xu, Y. (2021). A new framework for a multi-site stochastic daily rainfall model: Coupling a univariate Markov chain model with a multi-site rainfall event model. Journal of hydrology, 598, [126478]. https://doi.org/10.1016/j.jhydrol.2021.126478

Barzegar, R., Razzagh, S., Quilty, J., Adamowski, J., Kheyrollah Pour, H. , & Booij, M. J. (2021). Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models. Journal of hydrology, 598, [126370]. https://doi.org/10.1016/j.jhydrol.2021.126370

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Naar mijn profiel

Bachelor

Civil Engineering

Master

Civil Engineering and Management

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

+31534892564

+31534894322 (bij geen gehoor)

m.j.booij@utwente.nl

www.utwente.nl/en/et/wem/staff/booij/

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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

Faculty of Engineering Technology (ET), Multidisciplinary Water Management (MWM)

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Universiteit Twente Drienerlolaan 5
7522 NB Enschede

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Vakken Collegejaar 2021/2022

Current Projects

Hydrological characterization of land use in two exemplary catchments

High and low flows in the Meuse

Finished Projects

Seasonal and long-term prediction of low flows in the Rhine basin

Uncertain hydraulic roughness in river models

Sustainable and efficient allocation of limited blue and green water resources

Effects of changes in land use and climate on water availability of a tropical catchment

Future flow projections and their impacts on reservoir operation

Exploring downstream water availability of Yellow River based on historic and projected runoff change in the source region area

Uncertainty in climate change impacts on extreme discharges of twinning river basins

Flood security strategies for dike ring 6 - reducing system risk

PUB: Predictions in Ungauged Basins

Appropriate modelling in decision support systems for river basin management

Appropriate flow forecasting for reservoir operation

FLOCODS: FLOod COntrol Decision Support

Appropriate modelling of climate change impacts on river flooding

Modelling the total water balance in Indonesia

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