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

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.

Expertise

• Earth and Planetary Sciences

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

Organisations

Publications

Other contributions

International refereed journals (complete list)

[122] Jahanshahi, A., Booij, M.J., Patil, S.D. and Gupta, H., 2025. Impact of land use land cover change on catchment hydrological response in 576 Iranian catchments. Journal of Arid Environments, 231, 105463.

[121] Kacar, F.S., Bayhan, K., Gassner, A., Ergun, E., Halat, O.M., Balov, M.N., Demirel, M.S., Avcuoglu, M.B., Babagiray, S., Calli, S.S., Ghasempour, R., Ozgur Kirca, V.S., Demirel, M.C. and Booij, M.J., 2025. Effects of model spatial structure and basin characteristics on the performance of three hydrologic models. Water Resources Management, 39, 7573-7592.

[120] Ten Berge, A.A., Booij, M.J. and Rientjes, T.H.M., 2025. Robustness of hydrological models for simulating impacts of climate change on high and low streamflow. Journal of Hydrology, Volume 662A, 133734.

[119] Omondi, C.K., Rientjes, T.H.M., Booij, M.J. and Nelson, A.D., 2025. Evaluation of crop growth simulation by use of satellite rainfall estimates in Lake Victoria basin. Agricultural Water Management, 318, 109731.

[118] Khorsandi Kuhanestani, P., Bomers, A., Booij, M.J. and Hulscher, S.J.M.H., 2025. Hydraulic river model calibration and validation for comprehensive hydrograph simulation: Evaluating accuracy across discharge ranges. Journal of Hydrology, 660A, 133210.

[117] Jahanshahi, A., Booij, M.J. and Patil, S.D., 2025. Dependence of rainfall–runoff model performance on calibration conditions under changing climatic conditions. Hydrological Sciences Journal, 70, 581-596.

[116] Amini, A., Othman, K., Abassi, F. and Booij, M.J., 2025. Determining virtual water, physical and economic indices to optimize agricultural water consumption in three different climates. International Journal of Environmental Science and Technology, 22, 2941–2954.

[115] Nones, M., Booij, M.J., Karamuz, E. and Wang, W., 2025. Drought dynamics and vulnerability - Preface. Hydrological Processes, 39, e70071.

[114] Jahanshahi, A. and Booij, M.J., 2025. Quantifying the relative contributions of rainfall and antecedent soil moisture to flood generation: Analysis of 963 Iranian catchments. Journal of Arid Environments, 227, 105328.

[113] Nourani, V., Behfar, N., Booij, M.J., Ng, A., Zhang, C. and Mohammadisepasi, S., 2025. Uncertainty quantification in sequential hybrid deep transfer learning for solar irradiation predictions. Engineering Applications of Artificial Intelligence, 141, 109874.

[112] Arheimer, B., Cudennec, C., Castellarin, A. et al., 2024. The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN one Global world (HELPING). Hydrological Sciences Journal, 69, 1417-1435.

[111] Jahanshahi, A., Roshun, S.H. and Booij, M.J., 2024. Comparison of satellite-based and reanalysis precipitation products for hydrological modeling over a data-scarce region. Climate Dynamics, 62, 3505-3537.

[110] Mialyk, O., Booij, M.J., Schyns, J.F. and Berger, M., 2024. Evolution of global water footprints of crop production in 1990-2019. Environmental Research Letters, 19, 114015.

[109] Jahanshahi, A., Booij, M.J., Patil, S.D. and Gupta, H., 2024. An ensemble-based projection of future hydro-climatic extremes in Iran. Journal of Hydrology, 642, 131892.

[108] Khorsandi Kuhanestani, P., Bomers, A., Booij, M.J., Warmink, J.J. and Hulscher, S.J.M.H., 2024. Increasing the water level accuracy in hydraulic river simulation by adapting mesh level elevation. Environmental Modelling & Software, 180, 106135.

[107] Behfar, N., Booij, M.J. and Nourani, V., 2024. Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models. Hydrological Sciences Journal, 69, 861-877.

[106] Hop, F.J., Linneman, R., Schnitzler, B., Bomers, A. and Booij, M.J., 2024. Real time probabilistic inundation forecasts using a LSTM neural network. Journal of Hydrology, 635, 131082.

[105] Omondi, C.K., Rientjes, T.H.M., Booij, M.J. and Nelson, A.D., 2024. Satellite rainfall bias correction incorporating effects on simulated crop water requirements. International Journal of Remote Sensing, 45, 2269-2288.

[104] Behfar, N., Sharghi, E., Nourani, V. and Booij, M.J., 2024. Drought index downscaling using AI-based ensemble technique and satellite data. Theoretical and Applied Climatology, 155, 2379–2397.

[103] Mialyk, O., Schyns, J.F., Booij, M.J., Su, H., Hogeboom, R.J. and Berger, M., 2024. Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model. Scientific Data, 11, 206.

[102] Jahanshahi, A. and Booij, M.J., 2024. Flood process types and runoff coefficient variability in climatic regions of Iran. Hydrological Sciences Journal, 69, 241-258.

[101] Khosravi, K., Golkarian, A., Saco, P.M., Booij, M.J. and Melesse, A.M., 2024. Model identification and accuracy for estimation of suspended sediment load. Geocarto International, 37, 18520-18545.

[100] Jahanshahi, A. and Booij, M.J., 2023. Exploring controls on rainfall–runoff events: spatial dynamics of event runoff coefficients in Iran. Hydrological Sciences Journal, 68, 954-966.

[99] Attique, R., Rientjes, T. and Booij, M., 2023. Comparison between statistical and dynamical downscaling of rainfall over the Gwadar-Ormara basin, Pakistan. Meteorological Applications,30, e2151.

[98] Tongal, H. and Booij, M.J., 2023. Simulated annealing coupled with a Naïve Bayes model and base flow separation for streamflow simulation in a snow dominated basin. Stochastic Environmental Research and Risk Assessment, 37, 89–112.

[97] Westerhof, S.G., Booij, M.J., Van den Berg, M.C.J., Huting, R.J.M. and 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, 559-574.

[96] Ahmed, N., Wang, G., Booij, M.J., Marhaento, H., Pordhan, F.A., Ali, S., Munir, S. and Hashmi, M.Z.-u.-R., 2022. Variations in hydrological variables using distributed hydrological model in permafrost environment. Ecological Indicators, 145, 109609.

[95] Ahmed, N., Lu, H., Booij, M.J., Wang, G., Marhaento, H., Bhat, M.S. and 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, 9967–9993.

[94] Xie, J., Xu, Y.P., Booij, M.J. and 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.

[93] Gholami, V. and 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.

[92] Ekmekcioğlu, Ö, Demirel, M.C. and 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, 759-772.

[91] Ahmed, N., Wang, G., Booij, M.J., Ceribasi, G., Bhat, M.S., Ceyhunlu, A.I. and 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.

[90] Mialyk, O., Schyns, J.F., Booij, M.J. and Hogeboom, R.J., 2022. Historical simulation of maize water footprints with a new global gridded crop model ACEA. Hydrology and Earth System Sciences, 26, 923-940.

[89] Rustanto, A. and 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, 164-197.

[88] Gholami, V., Khaleghi, M.R., Pirasteh, S. and 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, 451–469.

[87] Ahmed, N., Wang, G., Booij, M.J., Sun, X., Hussain, F. and 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, 36,181-201.

[86] Ahmed, N., Wang, G., Lü, H., Booij, M.J., Marhaento, H., Prodhan, F.A., Ali, S. and Imran, M.A., 2022. Attribution of changes in streamflow to climate change and land cover change in Yangtze River Source Region, China. Water, 14, 259.

[85] Krol, M.S., Booij, M.J., Hogeboom, R.J., Karandish, F., Schyns, J.F. and Wang, R., 2022.  Arjen Y. Hoekstra: A water management researcher to be remembered. Water, 14, 50.

[84] Albers, L.T., Schyns, J.F., Booij, M.J. and 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, 126992.

[83] Omondi, C.K., Rientjes, T.H.M., Booij, M.J. and Nelson, A.D., 2021. Satellite rainfall bias assessment for crop growth simulation – A case study of maize growth in Kenya. Agricultural Water Management, 258, 107204.

[82] Marhaento, H., Booij, M.J., Rahardjo, N. and Ahmed, N., 2021. Impacts of forestation on the annual and seasonal water balance of a tropical catchment under climate change. Forest Ecosystems, 8, 64.

[81] Khosravi, K., Golkarian, A., Booij, M.J., Barzegar, R., Sun, W., Mundher Yaseen, Z. and Mosavi, A., 2021. Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithms. Hydrological Sciences Journal, 66, 1457-1474.

[80] Gao, C., Guan, X., Booij, M.J., Meng, Y. and Xu, Y.P., 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.

[79] Barzegar, R., Razzagh, S., Quilty, J., Adamowski, J., Kheyrollah Pour, H. and Booij, M.J., 2021. Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models. Journal of Hydrology, 598, 126370.

[78] Marhaento, H., Booij, M.J. and Ahmed, N., 2021. Quantifying relative contribution of land use change and climate change to streamflow alteration in the Bengawan Solo River, Indonesia. Hydrological Sciences Journal, 66, 1059-1068.

[77] Xuan, W., Xu, Y.P., Fu, Q., Booij, M.J., Zhang, X. and Pan, S., 2021. Hydrological responses to climate change in Yarlung Zangbo River basin, Southwest China. Journal of Hydrology, 597, 125761.

[76] Khan, T., Nouri, H., Booij, M.J., Hoekstra, A.Y., Khan, H., Ullah, I., 2021. Water footprint, blue water scarcity, and economic water productivity of irrigated crops in Peshawar basin, Pakistan. Water, 13, 1249.

[75] Hajihosseini, M., Hajihosseini, H., Morid, S., Delavar, M. and Booij, M.J., 2020. Impacts of land use changes and climate variability on transboundary Hirmand River using SWAT. Journal of Water and Climate Change, 11, 1695-1711.

[74] Gao, C., Booij, M.J. and Xu, Y.P., 2020. Development and hydrometeorological evaluation of a new stochastic daily rainfall model: Coupling Markov chain with rainfall event model. Journal of Hydrology, 589, 125337.

[73] Abedi, M., Shafizadeh-Moghadam, H., Morid, S., Booij, M.J. and Delavar, M., 2020. Evaluation of ECMWF mid-range ensemble forecasts of precipitation for the Karun River basin. Theoretical and Applied Climatology, 141, 61-70.

[72] Gao, C., Booij, M.J. and Xu, Y.P., 2020. Assessment of extreme flows and uncertainty under climate change: disentangling the uncertainty contribution of representative concentration pathways, global climate models and internal climate variability. Hydrology and Earth System Sciences, 24, 3251-3269.

[71] Ahmed, N., Wang, G., Booij, M.J., Oluwafemi, A., Zia-ur-Rehman Hashmi, M., Ali, S. and Munir, S., 2020. Climatic variability and periodicity for upstream sub-basins of the Yangtze River, China. Water, 12, 842.

[70] Gao, C., Booij, M.J. and Xu, Y.P., 2020. Impacts of climate change on characteristics of daily-scale rainfall events based on nine selected GCMs under four CMIP5 RCP scenarios in Qu River basin, east China. International Journal of Climatology, 40, 887-907.

[69] Marhaento, H., Booij, M.J., Rientjes, T.H.M. and Hoekstra, A.Y., 2019. Sensitivity of streamflow characteristics to different spatial land-use configurations in tropical catchment. ASCE Journal of Water Resources Planning and Management, 145, 04019054.

[68] Demirel, M.C., Özen, A., Orta, S., Toker, E., Demir, H.K., Ekmekcioglu, Ö., Taysi, H., Eruçar, S., Sag, A.B., Sarı, Ö., Tuncer, E., Hancı, H., Özcan, T.I., Erdem, H., Kosucu, M.M., Basakın, E.E., Ahmed, K., Anwar, A., Avcuoglu, M.B., Vanlı, Ö., Stisen, S. and Booij, M.J., 2019. Additional value of using satellite-based soil moisture and two sources of groundwater data for hydrological model calibration. Water, 11, 2083.

[67] Booij, M.J., Schipper, T.C. and Marhaento, H., 2019. Attributing changes in streamflow to land use and climate change for 472 catchments in Australia and the United States. Water, 11, 1059.

[66] Schyns, J.F., Hoekstra, A.Y., Hogeboom H.J. and Booij, M.J., 2019. Reply to Van Noordwijk and Ellison - Moisture recycling: Key to assess hydrological impacts of land cover changes, but not to quantify water allocation to competing demands. Proceedings of the National Academy of Sciences, 116, 8104.

[65] Nikzad Tehrani, E., Sahour, H. and Booij, M.J., 2019. Trend analysis of hydro-climatic variables in the north of Iran. Theoretical and Applied Climatology, 136, 85-97.

[64] Schyns, J.F., Hoekstra, A.Y., Booij, M.J., Hogeboom H.J. and Mekonnen, M.M., 2019. Limits to the world’s green water resources for food, feed, fibre, timber and bio-energy. Proceedings of the National Academy of Sciences, 116, 4893–4898.

[63] Tongal, H. and Booij, M.J., 2018. Simulation and forecasting of streamflows using machine learning models coupled with base flow separation. Journal of Hydrology, 564, 266-282.

[62] Marhaento, H., Booij, M.J. and Hoekstra, A.Y., 2018. Hydrological response to future land-use change and climate change in a tropical catchment. Hydrological Sciences Journal, 63, 1368-1385.

[61] Van den Heuvel, D.B, Troch, P.A., Booij, M.J., Niu, G.Y., Volkmann, T.H.M. and Pangle, L.A., 2018. Effects of differential hillslope‐scale water retention characteristics on rainfall–runoff response at the Landscape Evolution Observatory. Hydrological Processes, 32, 2118–2127.

[60] Wester, S.J., Grimson, R., Minotti, P.G., Booij, M.J. and Brugnach, M., 2018. Hydrodynamic modelling of a tidal delta wetland using an enhanced quasi-2D model. Journal of Hydrology, 559, 315-326.

[59] Gholami, V., Booij, M.J., Nikzad Tehrani, E. and Hadian, M.A., 2018. Spatial soil erosion estimation using an artificial neural network (ANN) and field plot data. Catena, 163, 210-218.

[58] Benninga, H.J.F., Booij, M.J., Romanowicz, R.J. and Rientjes, T.H.M., 2017. Performance of ensemble streamflow forecasts under varied hydrometeorological conditions. Hydrology and Earth System Sciences, 21, 5273-5291.

[57] Schyns, J.F., Booij, M.J. and Hoekstra, A.Y., 2017. The water footprint of wood for lumber, pulp, paper, fuel and firewood. Advances in Water Resources, 107, 490–501.

[56] Marhaento, H., Booij, M.J. and Hoekstra, A.Y., 2017. Attribution of changes in stream flow to land use change and climate change in a mesoscale tropical catchment in Java, Indonesia. Hydrology Research, 48, 1143-1155.

[55] Rustanto, A., Booij, M.J., Wösten, H. and Hoekstra, A.Y., 2017. Application and recalibration of soil water retention pedotransfer functions in a tropical upstream catchment: case study in Bengawan Solo, Indonesia. Journal of Hydrology and Hydromechanics, 65, 307–320.

[54] Marhaento, H., Booij, M.J., Rientjes, T.H.M. and Hoekstra, A.Y., 2017. Attribution of changes in the water balance of a tropical catchment to land use change using the SWAT model. Hydrological Processes, 31, 2029-2040.

[53] Brouwer, T., Eilander, D., Van Loenen, A., Booij, M.J., Wijnberg, K.M., Verkade, J.S. and Wagemaker, J., 2017. Probabilistic flood extent estimates from social media flood observations. Natural Hazards and Earth System Sciences, 17, 735-747.

[52] Tongal, H. and Booij, M.J., 2017. Quantification of parametric uncertainty of ANN models with GLUE method for different streamflow dynamics. Stochastic Environmental Research and Risk Assessment, 31, 993-1010.

[51] Hajihosseini, H., Hajihosseini, M., Morid, S., Delavar, M. and Booij, M.J., 2016. Hydrological assessment of the 1973 treaty on the transboundary Helmand River, using the SWAT model and a global climate database. Water Resources Management, 30, 4681–4694.

[50] Tongal, H. and Booij, M.J., 2016. A comparison of nonlinear stochastic self-exciting threshold autoregressive and chaotic k-nearest neighbour models in daily streamflow forecasting. Water Resources Management, 30, 1515-1531.

[49] Zheng, D., Van der Velde, R., Su, Z., Wen, J., Wang, X., Booij, M.J., Hoekstra, A.Y., Lv, S., Zhang, Y. and Ek, M.B., 2016. Impacts of Noah model physics on catchment-scale runoff simulations. Journal of Geophysical Research: Atmospheres, 121, 807–832.

[48] Vonk, E., Xu, Y.P., Booij, M.J. and Augustijn, D.C.M., 2016. Quantifying the robustness of optimal reservoir operation for the Xinanjiang-Fuchunjiang reservoir cascade. Water Science & Technology: Water Supply, 16, 79-86.

[47] Tian, Y., Xu, Y.P., Booij, M.J. and Cao, L., 2016. Impact assessment of multiple uncertainty sources on high flows under climate change. Hydrology Research, 47, 61-74.

[46] Zheng, D., Van der Velde, R., Su, Z., Wang, X., Wen, J., Booij, M.J., Hoekstra, A.Y. and Chen, Y., 2015. Augmentations to the Noah model physics for application to the Yellow River source area. Part II: Turbulent heat fluxes and soil heat transport. Journal of Hydrometeorology, 16, 2677-2694.

[45] Zheng, D., Van der Velde, R., Su, Z., Wang, X., Wen, J., Booij, M.J., Hoekstra, A.Y. and Chen, Y., 2015. Augmentations to the Noah model physics for application to the Yellow River source area. Part I: Soil water flow. Journal of Hydrometeorology, 16, 2659-2676.

[44] Schyns, J.F., Hoekstra, A.Y. and Booij, M.J., 2015. Review and classification of indicators of green water availability and scarcity. Hydrology and Earth System Sciences , 19, 4581–4608.

[43] Zhang, X., Booij, M.J. and Xu, Y.P., 2015. Improved simulation of peak flows under climate change: post-processing or composite objective calibration? Journal of Hydrometeorology, 16, 2187-2208.

[42] Osuch, M., Romanowicz, R.J. and Booij, M.J., 2015. The influence of parametric uncertainty on the relationships between HBV model parameters and climatic characteristics. Hydrological Sciences Journal, 60, 1299-1316.

[41] Hogeboom, R.H.J., Van Oel, P.R., Krol, M.S. and Booij, M.J., 2015. Modelling the influence of groundwater abstractions on the water level of Lake Naivasha, Kenya under data-scarce conditions. Water Resources Management, 29, 4447-4463.

[40] Zheng, D., Van der Velde, R., Su, Z., Wen, J., Booij, M.J., Hoekstra, A.Y. and Wang, X., 2015. Under‐canopy turbulence and root water uptake of a Tibetan meadow ecosystem modeled by Noah‐MP. Water Resources Research, 51, 5735–5755.

[39] Tian, Y., Xu, Y.P., Booij, M.J. and Wang, G., 2015. Uncertainty in future high flows in Qiantang River Basin, China. Journal of Hydrometeorology, 16, 363-380.

[38] Demirel, M.C., Booij, M.J. and Hoekstra, A.Y., 2015. The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models . Hydrology and Earth System Sciences, 19, 275-291.

[37] Zheng, D., Van der Velde, R., Su, Z., Booij, M.J., Hoekstra, A.Y. and Wen, J., 2014. Assessment of roughness length schemes implemented within the Noah land surface model for high altitude regions. Journal of Hydrometeorology, 15, 921-937.

[36] Vonk, E., Xu, Y.P., Booij, M.J., Zhang, X. and Augustijn, D.C.M., 2014. Adapting multireservoir operation to shifting patterns of water supply and demand . Water Resources Management, 28, 625-643.

[35] Tian, Y., Booij, M.J. and Xu, Y.-P., 2014. Uncertainty in high and low flows due to model structure and parameter errors. Stochastic Environmental Research and Risk Assessment, 28, 319-332.

[34] Warmink, J.J., Straatsma, M.W., Huthoff, F., Booij, M.J. and Hulscher, S.J.M.H., 2013. Uncertainty of design water levels due to combined bed form and vegetation roughness in the Dutch River Waal. Journal of Flood Risk Management, 6, 302–318.

[33] Rientjes, T.H.M., Muthuwatta, L.P., Bos, M.G., Booij, M.J. and Bhatti, H.A., 2013. Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration. Journal of Hydrology, 505, 276-290.

[32] Demirel, M.C., Booij, M.J. and Hoekstra, A.Y., 2013. Impacts of climate change on the seasonality of low flows in 134 catchments in the River Rhine basin using an ensemble of bias-corrected regional climate simulations. Hydrology and Earth System Sciences, 17, 4241-4257.

[31] Van Esse, W.R., Perrin, C., Booij, M.J., Augustijn, D.C.M., Fenicia, F., Kavetski, D. and Lobligeois, F., 2013. The influence of conceptual model structure on model performance: a comparative study for 237 French catchments. Hydrology and Earth System Sciences, 17, 4227-4239.

[30] Demirel, M.C., Booij, M.J. and Hoekstra, A.Y., 2013. Identification of appropriate lags and temporal resolutions for low flow indicators in the River Rhine to forecast low flows with different lead times. Hydrological Processes, 27, 2742-2758.

[29] Demirel, M.C., Booij, M.J. and Hoekstra, A.Y., 2013. Effect of different uncertainty sources on the skill of 10 day ensemble low flow forecasts for two hydrological models. Water Resources Research, 49, 4035-4053.

[28] Van den Tillaart, S.P.M., Booij, M.J. and Krol, M.S., 2013. Impact of uncertainties in discharge determination on the parameter estimation and performance of a hydrological model. Hydrology Research, 44, 454-466.

[27] Warmink, J.J., Booij, M.J., Van der Klis, H. and Hulscher, S.J.M.H., 2013. Quantification of uncertainty in design water levels due to uncertain bed form roughness in the Dutch river Waal . Hydrological Processes, 27, 1646-1663.

[26] Tongal, H., Demirel, M.C. and Booij, M.J., 2013. Seasonality of low flows and dominant processes in the Rhine River. Stochastic Environmental Research and Risk Assessment, 27, 489-503.

[25] Tian, Y, Xu, Y.-P., Booij, M.J., Lin, S., Zhang, Q. and Lou, Z., 2012. Detection of trends in precipitation extremes in Zhejiang, east China. Theoretical and Applied Climatology, 107, 201–210.

[24] Demirel, M.C., Booij, M.J. and Kahya, E., 2012. Validation of an ANN flow prediction model using a multistation cluster analysis. ASCE Journal of Hydrologic Engineering, 17, 262-271.

[23] Booij, M.J., Tollenaar, D., Van Beek, E. and Kwadijk, J.C.J., 2011. Simulating impacts of climate change on river discharges in the Nile basin. Physics and Chemistry of the Earth, 36, 696-709.

[22] Romanowicz, R.J. and Booij, M.J., 2011. Editorial – Impact of land use and water management on hydrological processes under varying climatic conditions. Physics and Chemistry of the Earth, 36, 613-614.

[21] Warmink, J.J., Van der Klis, H., Booij, M.J. and Hulscher, S.J.M.H., 2011. Identification and quantification of uncertainties in a hydrodynamic river model using expert opinions. Water Resources Management, 25, 601–622.

[20] Booij, M.J. and De Wit, M.J.M., 2010. Extreme value statistics for annual minimum and trough-under-threshold precipitation at different spatio-temporal scales. Hydrological Sciences Journal, 55, 1289-1301.

[19] Warmink, J.J., Janssen, J.A.E.B., Booij, M.J. and Krol, M.S., 2010. Identification and classification of uncertainties in the application of environmental models. Environmental Modelling and Software, 25, 1518-1527.

[18] Deckers, D.L.E.H., Booij, M.J., Rientjes, T.H.M. and Krol, M.S., 2010. Catchment variability and parameter estimation in multi-objective regionalisation of a rainfall-runoff model. Water Resources Management, 24, 3961–3985.

[17] Booij, M.J. and Krol, M.S., 2010. Balance between calibration objectives in a conceptual hydrological model, Hydrological Sciences Journal, 55, 1017-1032.

[16] Bulsink, F., Hoekstra, A.Y. and Booij, M.J., 2010. The water footprint of Indonesian provinces related to the consumption of crop products. Hydrology and Earth System Sciences, 14, 119–128.

[15] Xu, Y.-P., Booij, M.J. and Tong, Y.-B., 2010. Uncertainty analysis in statistical modeling of extreme hydrological events. Stochastic Environmental Research and Risk Assessment, 24, 567–578.

[14] Akhtar, M., Ahmad, N. and Booij, M.J., 2009. Use of regional climate model simulations as input for hydrological models for the Hindukush-Karakorum-Himalaya region. Hydrology and Earth System Sciences , 13, 1075-1089.

[13] De Kok, J.L. and Booij, M.J., 2009. Deterministic-statistical model coupling in a DSS for river-basin management. Environmental Modeling and Assessment, 14, 595-606.

[12] Xu, Y.P., Holzhauer, H., Booij M.J. and Sun H.Y., 2008. A two-step approach to investigate the effect of rating curve uncertainty in the Elbe decision support system. Journal of Zhejiang University Science A, 9, 1229-1238.

[11] De Hamer, W., Love, D., Owen, R., Booij, M.J. and Hoekstra, A.Y., 2008. Potential water supply of a small reservoir and alluvial aquifer system in southern Zimbabwe. Physics and Chemistry of the Earth, 33, 633-639.

[10] Akhtar, M., Ahmad, N. and Booij, M.J., 2008. The impact of climate change on the water resources of Hindukush-Karakorum-Himalaya region under different glacier coverage scenarios. Journal of Hydrology, 355, 148-163.

[9] Xu, Y.-P., Booij, M.J. and Mynett, A.E., 2007. An appropriateness framework for the Dutch Meuse decision support system. Environmental Modelling and Software, 22, 1667-1678.

[8] De Kort, I.A.T. and Booij, M.J., 2007. Decision making under uncertainty in a decision support system for the Red River. Environmental Modelling and Software, 22, 128-136.

[7] Dong, X., Dohmen-Janssen, C.M., Booij, M. and Hulscher, S., 2006. Effect of flow forecasting quality on benefits of reservoir operation - a case study for the Geheyan reservoir (China). Hydrology and Earth System Sciences Discussions, 3, 3771-3814.

[6] Dong, X., Dohmen-Janssen, C.M. and Booij, M.J., 2005. Appropriate spatial sampling of rainfall for flow simulation. Hydrological Sciences Journal, 50, 279-298.

[5] Booij, M.J., 2005. Impact of climate change on river flooding assessed with different spatial model resolutions. Journal of Hydrology, 303, 176-198.

[4] Booij, M.J., 2003. Determination and integration of appropriate spatial scales for river basin modelling. Hydrological Processes, 17, 2581-2598.

[3] Booij, M.J., 2002. Modelling the effects of spatial and temporal resolution of rainfall and basin model on extreme river discharge. Hydrological Sciences Journal, 47, 307-320.

[2] Booij, M.J., 2002. Extreme daily precipitation in Western Europe with climate change at appropriate spatial scales. International Journal of Climatology, 22, 69-85.

[1] Booij, M., Leijnse, A., Haldorsen, S., Heim, M. and Rueslåtten, H., 1998. Subpermafrost groundwater modelling in Ny-Ålesund, Svalbard. Nordic Hydrology, 29, 385-396.

Research profiles

Courses

·        2018/present: Hydrological Modelling and Forecasting (MSc course, 201800019)

·        2018/present: Hydrology (MSc course, 201800018)

·        2014/present: Water Management (BSc course, 202000067)

·        2007/present: Coordination Bachelor Final Projects Water

·        2007/present: Coordination Master Graduation Projects Water

·        2003/2017: Hydrology (MSc course, 195400101)

·        2011/2014: Civil Engineering Design Project (water-related contribution)

·        2003/2014: Introduction to Water Management (192240131)

·        2005/2006: W1-Urban Water Management (coordination)

·        1999/2001: W1-assignment Hydrology (224111)

PhD students

·        2025/ present: Filippo Signora, Assessing water management effects on hydrological processes using integrated hydrological modelling and observational data

·        2024/ present: Amy ten Berge, Modelling climate change impacts on droughts in the Dutch-German border region

·        2021/ present: Betelhem Gebretsadik, Crop growth and water balance assessment at hillslope bench terraces

·        2021/ 2025: Parisa Khorsandi Kuhanestani, Water level simulation in rivers: exploring alternatives to traditional roughness calibration

·        2019/ 2024: Oleksandr Mialyk, Global water and land scarcity: historical trends and potential solutions

·        2018/ 2020: Chao Gao, Assessment of rainfall events and extreme flows under climate change

·        2017/ present: Calisto Omondi, Evaluation of effects of error in satellite rainfall on crop growth stage modelling for maize

·        2013/ present: Andry Rustanto, Hydrological characterization of land use in two exemplary catchments

·        2013/ 2018: Joep Schyns, Sustainable and efficient allocation of limited blue and green water resources

·        2013/ 2018: Hero Marhaento, Effects of changes in land use and climate on water availability of a tropical catchment 

·        2012/ 2015: Xujie Zhang, Future flow projections and their impacts on reservoir operation

·        2010/ 2015: Donghai Zheng, Exploring downstream water availability of Yellow River based on historic and projected runoff change in the source region area

·        2010/2013: Ye Tian, Uncertainty in climate change impacts on extreme discharges of twinning river basins

·        2008/2014: Mehmet Demirel, Seasonal and long-term prediction of low flows in the Rhine basin.

·        2007/2011: Jord Warmink, Uncertain hydraulic roughness in river models.

·        2001/2005: Yueping Xu, Appropriate modelling in decision support systems for river basin management.

·        2001/2005: Xiaohua Dong, Appropriate flow forecasting for reservoir operation.

MSc students

·        11-2025/present: Steven Akkerman, Flood inundation modelling with machine learning. (Witteveen+Bos)

·        11-2025/present: Eva Rühl, Effects of nature-based solutions on water quality in an urban water system under extreme meteorological conditions. (Nelen en Schuurmans)

·        11-2025/present: Pepijn van Diggelen, Generic machine learning models for ensemble forecasting of pluvial flooding. (HydroLogic)

·        04-2025/present: Tom Lamaker, Transboundary drought risk management. (Waterboard Rijn and IJssel)

·        04-2025/present: Luc Mulkens, Interaction between Meuse and Dutch tributaries during flood events. (Haskoning)

·        01-2025/09-2025: Lars de Wolde, The ability of crop models to simulate the impact of climate extremes on crop yield. (UT)

·        11-2024/07-2025: Roel Brinkers, Modeling urban floods in D-Hydro suite with vaying sewer system schematizations and climate scenarios. (Hydrologic)

·        11-2024/08-2025: Jonne Hanning, Coupling of hydrological and hydrodynamic modeling with local fishers’ knowledge to assess climate change impact uncertainty in a tropical river. (UT and WUR)

·        02-2024/03-2025: Sjoerd Gabriëls, Bringing back the Binnensingel: Quantifying the reductions in pluvial flooding and groundwater fluctuations from adding open water to a dense urban polder area. (Nelen & Schuurmans)

·        02-2024/01-2025: Ivan Leegwater, The effects of nature-based solutions on high- and low flows in the Vecht river basin. (Deltares and UT)

·        02-2024/01-2025: Sander de Groot, Evaluation of ensemble flood forecast performance by using a semi-distributed multi-model approach compared to single models. (Deltares and UT)

·        02-2024/12-2024: William Cazemier, The effects of nature-based solutions on high and low flows in the Vecht using hydrological model Wflow sbm. (Deltares and UT)

·        11-2023/08-2024: Ruben den Hertog, Unveiling the implications of schematisation choices in fluvial flood models - Dike breach induced floods in Betuwe Tieler en Culemborgerwaarden. (Royal HaskoningDHV)

·        09-2023/08-2024: Rik van der Gaast, Evaluating the transferability of data-driven pedo-transfer functions for the wflow_sbm parameter KsatHorFrac in central and Western Europe. (Deltares)

·        09-2023/05-2024: Vera Glas, Accuracy and suitability of satellite-based retrieval products for operational precipitation nowcasting in Ghana. (HKV)

·        04-2023/05-2024: Amy ten Berge, Robustness of hydrological models for simulating impact of climate change on high and low streamflow in the Lesse. (UT)

·        02-2023/11-2023: Loek Hahn, The impact of spatially distributed evacuation fractions on flood safety standards in the Netherlands. (Royal HaskoningDHV)

·        01-2023/12-2023: Rutger Wiebing, Effectiveness of adaptation measures to make the urban rainwater distribution more robust after short intense rainfall events. (Nelen & Schuurmans)

·        01-2023/08-2023: Schadrack Tuyishime, Testing the SM2RAIN (Soil-Moisture-2-Rainfall) satellite product for rainfall-runoff simulation in the Gilgal Abay catchment, Ethiopia. (ITC)

·        11-2022/09-2023: Isabelle Schippers, Evaluating spatial measures with a D-hydro model to reduce flood risk based on the Dutch flood safety standards. (Royal HaskoningDHV)

·        11-2022/07-2023: Laura Janssen, Surrogate models: a solution for real-time inundation forecasting? Surrogate modelling for three case studies in the Netherlands. (Hydrologic)

·        09-2022/06-2023: Jaap Gerrits, Calibrating a hydraulic river model using bathymetry and roughness: A case study on the river Waal. (UT)

·        04-2022/01-2023: Fedde Hop, Rapid generation of probabilistic inundation forecasts by utilizing cloud computing and deep learning. (Hydrologic)

·        11-2021/12-2022: Patience Musemakweri, Evaluation of satellite rainfall estimates for crop growth modeling. (ITC)

·        11-2021/08-2022: Wiyanda Aflah, Modelling the impact of conservation agriculture on hydrological processes and crop yield using the SWAT model. (UT and Water Board Rijn en IJssel)

·        11-2021/09-2022: Luuk Nieuwenhuis, Rapid Assessment of drought-induced effects in the Dutch urban environment. (Witteveen+Bos)

·        11-2021/08-2022: Oscar Bakker, Spatial planning and flood risk - Development of a spatial planning framework for the mitigation of flood risks. (Royal HaskoningDHV)

·        09-2021/05-2022: Ruben van der Zaag, Comparison of the effects of Nature-Based Solutions on urban runoff in Kigali using different parametrisations. (HKV)

·        04-2021/04-2022: Stefan van Leijsen, The effect of climate change on groundwater level variation in De Wieden, the Netherlands. (Arcadis)

·        11-2020/12-2021: Linde Hagedoorn, Climate resilient water system in Haarlo-Olden Eibergen. (Water Board Rijn en IJssel)

·        10-2020/08-2021: Mameline Umutesi, Assessing impacts of climate change and land-use interventions on flooding in Nyabugogo catchment (Kigali, Rwanda). (ITC)

·        10-2020/09-2021: Betelhem Gebretsadik, Lake Tana water balance assessment by the effect of climate change and land use interventions. (ITC)

·        04-2020/01-2021: Bart Treurniet, Quantifying the share of non-sustainable groundwater in the blue water footprint of global crop production. (UT and Utrecht University)

·        11-2019/07-2021: Mike Flohr, Improvement of rainfall runoff simulations on urban unpaved surfaces. (Royal HaskoningDHV and UT)

·        11-2019/12-2020: Da Li, Evaluation of hydrological models under stationary and non-stationary conditions. (UT)

·        10-2019/09-2020: Geert Luijkx, Assimilation of remotely sensed soil moisture data in a hydrological forecasting model of the Overijsselse Vecht. (Water Board Drents Overijsselse Delta)

·        10-2019/11-2020: Luca Furii, Sustainable Land Management application in an intensive irrigated agriculture domain. (CEBAS: Murcia, Spain and UT)

·        10-2019/06-2020: Mark Beltman, Drought severity - Real-time evaluation of drought severity by means of Artificial Neural Networks and damage functions. (Water Board Vechtstromen)

·        05-2019/02-2020: Nora Wijmans, Water,carbon and land footprint of solar thermal technologies. (UT)

·        04-2019/06-2020: Luc Albers, Alternative ways to set the blue water footprint cap at sub-catchment level: a case study for the Yellow River basin in China. (Northwest A&F University: Yangling, China and UT)

·        04-2019/12-2020: Wenying Bao, Crop water management to reduce blue water scarcity: A case study for the Yellow River basin. (Northwest A&F University: Yangling, China and UT)

·        02-2019/12-2019: Sam Westerhof, Uncertainties in the derivation of the Dutch flood safety standards. (Royal HaskoningDHV)

·        02-2019/10-2019: Wytse Roosjen, Interdependency of stochastic variables determining normative water levels in the Alblasserwaard. (Hydrologic)

·        11-2018/12-2019: Daan Kling, Application and evaluation of the 3Di groundwater model in de Waalenburg polder, Texel, the Netherlands. (Nelen & Schuurmans)

·        11-2018/08-2019: Daniël van den Heuvel, A framework for standardized assessment of neighborhood climate adaptiveness and derivation of design parameters under 2085 climate scenarios. (Witteveen+Bos)

·        09-2018/06-2019: Hidde Kats, Minimizing water shortages and operational costs of a water supply system by providing decision support on real-time control. (Royal HaskoningDHV)

·        06-2018/09-2019: Jelmer Dijkstra, Improving inundation simulation by adapted roughness and bed profile implementation in a Flood Hazard Mapper. (Royal HaskoningDHV)

·        11-2017/03-2019: Wouter Schreur, Impacts of climate change on flow composition using a model tailored to runoff components. (Institute of Geophysics: Warsaw, Poland and UT) 

·        11-2017/11-2018: Herm Jan aan het Rot, Coincidence of storm surges and river discharges due to typhoons in the Pampanga delta. (Deltares)

·        11-2017/08-2018: Nika Daling, The effect of precipitation data and parameter estimation on peak flow simulation in the Jinhua river basin. (Zhejiang University: Hangzhou, China and UT)

·        07-2017/03-2018: Raazia Attique, Comparison between statistical and dynamical downscaling of rainfall under Representative Concentration Pathways scenarios over the Gwadar-Ormara basin, Pakistan. (ITC) 

·        11-2016/04-2018: Niels van den Brink, Influence of hydrological model structures on extreme high flow simulations in the Meuse basin. (Deltares and UT)

·        11-2016/09-2017: Ingrid van den Brink, Sensitivity of discharge characteristics to the spatial resolution of regional climate models. (Deltares, KNMI and UT)

·        11-2016/07-2017: Theo Schipper, The attribution of changes in streamflow to climate and land use change for 472 catchments in the United States and Australia (UT)

·        11-2015/08-2020: Larisse Keim, Assessing the influences of different hydrological models on flood frequencies for a discharge generator. (UT and Deltares)

·        11-2015/11-2016: Mick Poppe, Simulating the water footprint of woodies in Aquacrop en Apex. (UT)

·        11-2015/11-2016: Ivo Huiskes, Using Ensemble Streamflow Predictions for extreme discharge purposes in the river Rhine. (Deltares and UT)

·        11-2015/08-2016: Tom Brouwer, Potential of Twitter derived flood maps: comparing interpolation methods and assessing uncertainties. (Deltares)

·        09-2015/04-2016: Annemarleen Kersbergen, Skill of a discharge generator in simulating low flow characteristics in the Rhine basin. (Deltares and UT)

·        08-2015/06-2016: Sjoerd Wester, Hydrodynamic modelling of a data scarce wetland area in the Lower Paraná Delta. (University of San Martin: Buenos Aires, Argentina and UT)

·        04-2015/05-2016: Hizkia Trul, Performance of GRADE in simulating flood wave characteristics in the Rhine basin. (Deltares and UT)

·        11-2014/11-2015: Ruben Oldhoff, Local and catchment scale validation of soil hydraulic pedotransfer functions for an Indonesian watershed. (Bengawan Solo Water Board: Solo, Indonesia and UT)

·        11-2014/08-2015: Harm-Jan Benninga, Performance and limitations of ensemble river flow forecasts. (Institute of Geophysics: Warsaw, Poland and UT)

·        05-2014/12-2015: Loek Zomerdijk, Performance of multi-model ensemble combinations for flood forecasting. (Zhejiang University: Hangzhou, China and UT)

·        05-2014/05-2015: Rens Holterman, Using remote sensing data of actual evapotranspiration in strategic and operational water level management. (Waterschap Groot Salland)

·        12-2013/10-2014: Floor Speet, Improving decision quality in urban storm water management projects by using 3Di system. (Nelen & Schuurmans)

·        10-2013/03-2015: Wouter Maat, Simulating discharges and forecasting floods using a conceptual rainfall-runoff model for the Bolivian Mamoré basin. (UT)

·        09-2013/08-2014: Gerrit van Zwol, Water deficits in Bogowonto. Evaluation of hydrological effects of stakeholder prioritized response options for the agricultural water deficits in Bogowonto, Indonesia. Indonesia (Gadjah Mada University: Yogyakarta, Indonesia and UT)

·        11-2012/09-2013: Hildemar Houtenbos, Impacts of climate change on drought in the Meuse basin. (UT)

·        10-2012/12-2013: Sebastiaan Meurs, Het beoordelen of met de stochastenmethode een goede indicatie van normafvoeren kan worden gegeven door gebruik te maken van een hydrologisch Simgro-model. (Waterschap Peel en Maasvallei)

·        09-2012/12-2013: Wouter Knoben, Estimation of non-stationary hydrological model parameters for the Polish Welna catchment. (Institute of Geophysics: Warsaw, Poland and UT)

·        04-2012/03-2013: Ingmar van Aartsen, Water shortages in Bandung. Assessment of inter-basin water transfer measures to reduce water shortages in the Upper Citarum River Basin. (Deltares)

·        04-2012/04-2013: Erwin Vonk, Dam reoperation as an adaption strategy for shifting patterns of water supply and demand. A case study for the Xin’anjiang-Fuchunjiang reservoir cascade, China. (Zhejiang University: Hangzhou, China and UT)

·        02-2012/12-2013: Rick Hogeboom, The influence of groundwater abstractions on Lake Naivasha's water levels. (ITC and UT)

·        11-2011/04-2013: Frank Meins, Evaluation of spatial scale alternatives for hydrological modelling of the Lake Naivasha basin, Kenya. (ITC and UT)

·        11-2011/10-2012: Wouter van Esse, Demystifying hydrological monsters. Can flexibility in model structure help explain monster catchments? (Irstea: Paris, France, CRP Gabriel Lippman: Belvaux, Luxembourg and UT)

·        10-2011/01-2013: Kor Heerema, Hydrological modeling of a Mongolian River basin under current and changed climate conditions using permafrost conceptualizations. (DHV and UT)

·        05-2011/05-2012: Frans van der Werf, De vertaalslag van landelijk beleid tot het nemen van maatregelen door de waterschappen. (Infram)

·        11-2010/08-2011: Pham Van Trang, Tracking the uncertainty from precipitation to streamflow prediction in hydrological modelling. (Cemagref: Paris, France and UT)

·        09-2010/04-2012: Jeroen Heesbeen, The influence of integrated modelling on the flood risk in an urban water system. (Royal Haskoning)

·        05-2010/08-2011: Pieter Bouwma, Low flow forecasts for the Rhine at Lobith 14 days ahead. (UT)

·        02-2010/12-2010: Jasper Bisterbosch, Impacts of climate change on low flows in the Rhine basin. (UT)

·        11-2009/04-2011: Sander Siebelink, Application of rainfall data from radar versus rain gauge in urban water management. (Hydrologic and UT)

·        09-2009/06-2010: Werner Weeink, Thresholds for flood forecasting and warning. Evaluation of streamflow and ensemble thresholds. (Cemagref: Paris, France and UT)

·        06-2009/04-2010: Sander van den Tillaart, Influence of incertainties in discharge determination on the parameter estimation and performance of a HBV model in Meuse sub basins. (UT)

·        11-2008/08-2010: Lea Goedhart, Presentation of uncertainty in model output to decision makers in flood management. (UT and Hydrologic)

·        09-2008/09-2009: Daniël Tollenaar, Simulation of present and future discharges at the Nile River upstream Lake Nasser. (Deltares and UT)

·        06-2008/03-2009: Han Vermue, Increasing complexity in hydrologic modelling; an uphill route?. (Royal Haskoning and Waterschap Aa en Maas)

·        05-2008/12-2008: Arnoud Keizer, Guide to reduce flood damage through failure of regional dikes. (Hydrologic)

·        03-2008/09-2009: Harm-Jan van Donk, De gevolgen van toekomstverandering voor het Natte Hart van Nederland in 2050. (Deltares)

·        10-2007/06-2008: Robert Verger, Hawaii’s vanishing streamflows. (University of Hawaii: Manoa, United States and UT)

·        10-2007/04-2008: Anne Steenbergen, Advising municipalities how to deal with (uncertainties in) extreme rain events and the expected increase herein for the design of the urban water system. (Tauw)

·        09-2007/07-2008: Pieter Stek, Urban groundwater extraction in Kuala Lumpur, Malaysia. (International Islamic University: Kuala Lumpur, Malaysia and UT)

·        04-2007/03-2008: Arjan Ottink, The European Water Framework Directive in urban areas. (Witteveen+Bos)

·        12-2006/11-2007: Ric Huting, Hydrological modelling of the Liuxihe River basin to contribute to the development of flood management. (Sun Yat-Sen University: Guangzhou, China and UT)

·        12-2006/07-2007: Wouter de Hamer, Potential water supply of the Mnyabezi catchment. A case study of a small reservoir and alluvial aquifer system in the arid region of southern Zimbabwe. (WaterNet/ ICRISAT: Harare, Zimbabwe and UT)

·        10-2006/03-2007: Irena Ymeti, Rainfall estimation by Remote Sensing for conceptual rainfall-runoff modeling in the Upper Blue Nile basin. (ITC)

·        04-2006/11-2006: Dave Deckers, Predicting discharge at ungauged catchments. Parameter estimation through the method of regionalisation. (ITC and UT)

·        01-2006/10-2006: Martijn Huisjes, Uncertainties in the impacts of climate change on extreme high Meuse discharges. (UT)

·        04-2005/12-2005: Niels Minnen, Voorspelling lage afvoeren Rijn. Een onderzoek naar de mogelijkheden voor het voorspellen van lage afvoeren op de rivier de Rijn (HKV)

·        03-2005/10-2005: Martin Arends, Low flow modelling of the Meuse. Recalibration of the existing HBV Meuse model. (RIZA)

·        08-2004/05-2005: Rianne Bijlsma, Geautomatiseerd draaiboek hoogwater boezem. Ontwikkeling van een functioneel ontwerp gebaseerd op het boezembeheer bij Wetterskip Fryslân. (Royal Haskoning and Wetterskip Fryslân)

·        06-2004/08-2005: Steven Foppes, Regionalisation based on basin characteristics applied to flood forecasting in the Da River. (Institute of Mechanics: Hanoi, Vietnam and UT)

·        01-2004/10-2004: Tom Raadgever, Schademodellering laagwater Maas. Een onderzoek naar de omvang en de opbouw van de schade ten gevolge van lage Maasafvoeren. (Royal Haskoning and UT)

·        09-2003/08-2004: Peter Kramer, Effecten van vasthouden-bergen-afvoeren voor de stroomgebieden van de Regge en Overijsselse Vecht tijdens hoogwatersituaties. (Royal Haskoning)

·        07-2003/03-2004: Marieke ten Voorde, Watertekort in het Hollands Noorderkwartier. (Grontmij)

·        07-2003/02-2004: Jonas van Schrojenstein Lantman, Hoogwatervoorspellingen op de Maas in crisissituaties. (Rijkswaterstaat Limburg)

·        04-2003/10-2003: Thalitha van Heijst, De Maten voor de Bornsebeek? Ruimtelijke inpassing van stedelijk oppervlaktewater in de nieuwbouwwijk de Bornsche Maten. (Royal Haskoning)

·        01-2003/08-2003: Inge de Kort, Decision making under uncertainty. Ranking measures in a Decision Support System for flood control in the Red River in Vietnam, while taking uncertainty into account. (UT)

·        05-2001/06-2003: Boukje Klunhaar, The value of knowing how little you know. De invloed van het ‘erkennen’ van statistische onzekerheid op de maatgevende afvoer van de Maas. (UT)

·        05-2001/12-2001: Koen van der Wal, Meuse model moulding. On the effect of spatial resolution. (RIZA and UT)

·        12-2000/07-2001: Nicole Zantkuijl, Waterconservering via het peilbeheer. Het bepalen van de mogelijkheden in agrarisch gebied. (Witteveen+Bos)

BSc students (internships)

·        04-2025/07-2025: Otto Toren, Comparison of hybrid, deep learning and conceptual models for streamflow simulation in the typhoon-stricken area of Zhejiang province. (Zhejiang University: Hangzhou, China)

·        04-2024/08-2024: Chiel Teunissen, A satellite-guided derivation of reservoir dam operation rules in ungauged locations - A case study in Vietnam. (Vietnam National University of Science: Hanoi, Vietnam)

·        04-2023/09-2023: Vinsensius Windy Hermawan, Assessment of satellite-based precipitation data for SWAT+ modelling in upstream catchment of Bengawan Solo, Java, Indonesia. (University of Indonesia: Jakarta, Indonesia)

·        04-2023/08-2023: Denise Thus, Determination of the changes in annual and seasonal runoff and determine if the changes in runoff can be attributed to land cover change or climate change in the Merawu catchment, central Java. (Universitas Gadjah Mada: Yogyakarta, Indonesia)

·        04-2022/09-2022: Walter Winkel, An impact assessment of human interventions on the hydrological regime of the Black River basin in Vietnam. (Vietnam National University of Science: Hanoi, Vietnam)

·        04-2022/08-2022: Madieke van Oosterhout, Differences in soil water characteristics of monoculture oil palm plantations, agroforestry oil palm plantations and natural forest. (Universitas Gadjah Mada: Yogyakarta, Indonesia)

·        04-2021/07-2021: Lieke van Haastregt, Selecting a flood mitigation measure for Matera, Italy, and determining its effectiveness in reducing physical flood characteristics. (McGill University: Montreal, Canada)

·        04-2021/10-2021: Isabelle Schippers, The influence of snow initial conditions on ensemble flood forecasting for the Bow river. (University of Saskatchewan: Canmore, Canada)

·        11-2020/02-2021: Sjoerd Gabriëls, The influence of pinch culverts on the water system of the Glanerbeek in a historical and future climate. (Water Board Vechtstromen: Almelo)

·        04-2020/08-2020: Marit Lambers, An analysis to test the sensitivity of output values of flood modelling software D-HYDRO to characteristics of the river, dike and hinterland. (UT and Hydrologic: Amersfoort)

·        04-2020/08-2020: Niek Klein Wolterink, Water retention in the catchment of the Groenlose Slinge. (Water Board Rijn en IJssel: Doetinchem)

·        04-2019/08-2019: Saskia van Brenk, Effect of different land uses on the hydrological response of two paired micro-catchments. (Universitas Gadjah Mada: Yogyakarta, Indonesia)

·        12-2018/04-2019: Rhodé Rijneveld, Farming practices and their water use in the Getas-Ngandong forests. (Universitas Gadjah Mada: Yogyakarta, Indonesia)

·        04-2018/07-2018: Marthe Oldenhof, Rioolmodelleringsstudie Bilzen - Een analyse van de huidige knelpunten in het rioleringsstelsel van het zuiveringsgebied Bilzen. (Antea Group: Gent, Belgium)

·        04-2017/07-2017: Anne Siersema, Analyse van de verschillen tussen de grondwatermodellen Azure en Hydromedah bij de provincie Utrecht. (Tauw: Deventer)

·        04-2017/07-2017: Danny Booij, Statistical trend analysis of River Rhine discharge using a twentieth century weather re-analysis. (Deltares: Delft)

·        04-2016/08-2016: Daniël van den Heuvel, A hillslope hydrology analysis of the Landscape Evolution Observatory within Biosphere2. (University of Arizona: Tucson, United States)

·        04-2016/07-2016: Wessel van der Sande, Impacts of systematic streamflow errors on hydrological forecasting. (UNESCO-IHE: Delft)

·        04-2015/08-2015: Henrike Maris, Peak discharge variation due to leaf area index and vegetation cover characteristics in the upper Bengawan Solo catchment. (Bengawan Solo Water Board: Solo, Indonesia)

·        04-2015/07-2015: Rianne Boks, Presentatie basisprognoses waterveiligheid uit het Nationaal Water Model in de vorm van infographics. (Deltares: Delft)

·        09-2014/12-2014: Geert-Jan Wilbrink, Characterization of recession behaviour for ungauged catchments in the United Kingdom based on catchment properties. (University of Bristol: Bristol, United Kingdom)

·        07-2014/11-2014: Marc Warmerdam, Design of a hydrological model to determine the impact of urbanization on the direct runoff at the hillslope scale in West Java, Indonesia. (LabMath Indonesia: Bandung, Indonesia)

·        04-2014/08-2014: Annet Both, The development of a pedotransfer function predicting the hydraulic conductivity for the Bogowonto river basin, Java. (Gadjah Mada University: Yogyakarta, Indonesia)

·        04-2014/08-2014: Bas Krewinkel, A correlation study between climate indexes and high runoff events in the Lanjiang River Basin, China. (Zhejiang University: Hangzhou, China)

·        05-2013/08-2013: Marcel Muller, Het gebruik van meetgegevens voor het verbeteren van de hydrologische verwachtingen van het IJsselmeer. (Rijkswaterstaat: Lelystad)

·        04-2013/08-2013: Michiel Clements, Defining prior probabilities for hydrologic model structures in UK catchments. (University of Bristol: Bristol, United Kingdom)

·        11-2012/04-2013: Timor Post, Search for the optimal selection formulas when calibrating separately for flood and dry season. (China Three Gorges University: Yichang, China)

·        07-2012/11-2012: Arjen Haag, Hercalibratie Model Lobith. Een vergelijking van methoden voor het opstellen van regressie vergelijkingen bij de calibratie van een model gericht op waterstandsvoorspellingen van de Rijn. (Rijkswaterstaat: Lelystad)

·        04-2012/08-2012: Peter Bijl, Regionalization of hydraulic conductivity and drainable porosity using a hillslope hydrological model approach. (University of Arizona: Tucson, United States)

·        04-2012/08-2012: Christiaan Groeneveld, Modelling watershed development in West-Bengal (East India Plateau) using a small scale rainfall-evapotranspiration-runoff model. (Australian National University: Canberra, Australia)

·        04-2012/08-2012: Jasper Hoeve, Developing and applying a methodology for high flow estimation under a non-stationary climate. The effects of climate change and climate variability on high river flows in New Zealand catchments. (NIWA: Christchurch, New Zealand)

·        05-2011/09-2011: Erwin Vonk, The impact of different canal configurations on the drainage of tropical peatlands. (LabMath Indonesia: Bandung, Indonesia)

·        04-2011/09-2011: Anne Nobel, Modeling the impact of climate and land use change on discharges in het Citarum river. (Padjadjaran University: Bandung, Indonesia)

·        04-2011/08-2011: Thijs Evers, Application of the WetSpa model to the South Tobacco Creek watershed using an improved snow redistribution algorithm. (University of Guelph: Guelph, Canada)

·        06-2010/06-2011: Jurjen Hendriks, Modeling dissolved silica and suspended sediment in the Baker river catchment. (CIEP: Coyhaique, Chile)

·        04-2010/09-2010: Johan de Waard, Testing a fully distributed hydrological model for runoff and flow simulation on a Canadian prairie watershed. (University of Guelph: Guelph, Canada)

·        04-2010/08-2010: Frank Meins, Modelling drainage of tropical peatlands through a canal system. (LabMath Indonesia: Bandung, Indonesia)

·        11-2009/06-2010: Joost Noordermeer, Data-extensive water table height approximation. Restoration of tropical peatland hydrology on Central Kalimantan. (LabMath Indonesia: Bandung, Indonesia)

·        09-2009/02-2010: Michiel van Vilsteren, Design flood estimation for the Quang Tri province in Vietnam. (Hanoi University of Science: Hanoi, Vietnam)

·        05-2009/08-2009: Ferdinand van den Brink, Modelling the discharge of the Cidanau River in West Java with the HBV model. (LabMath Indonesia: Bandung, Indonesia)

·        04-2009/08-2009: Erik Ensing, Reference crop evapotranspiration spatially interpolated and temporally distributed in Java. (LabMath Indonesia: Bandung, Indonesia)

·        03-2009/08-2009: Tom Doldersum, Global sensitivity analysis of the WetSpa model for the Ve river in Vietnam. (Hanoi University of Science: Hanoi, Vietnam)

·        10-2008/01-2009: Harm Nomden, Natuurvorming en de gevolgen voor de neerslag-afvoer-relatie. Analyse van de gevolgen van het project “Herstel beekdalsysteem Halkenbroek/ Homers” (Peilgebied 1510) op de neerslag-afvoer-relatie. (Royal Haskoning: Groningen)

·        05-2008/08-2008: Mees Beeker, The Water Footprint of Indonesian provinces. (LabMath Indonesia: Bandung, Indonesia)

·        04-2008/08-2008: Rik Bulsink, Water Footprint of Indonesian Provinces. The relation between water use and consumption in Indonesian provinces. (LabMath Indonesia: Bandung, Indonesia)

·        04-2008/07-2008: Marloes ter Haar, Hoe veilig is Nederland? Een onderzoek naar de patronen en gevolgen van een mogelijke overstroming. (Provincie Overijssel: Zwolle)

·        08-2006/03-2007: Maarten van Breemen, Analysis of the hydrologic sources in the Cotahuasi river basin. (AEDES: Arequipa, Peru)

·        04-2006/08-2006: Daniël Tollenaar, Improvement of river runoff forecasting by increasing representativeness of model input data. (Institute of Mechanics: Hanoi, Vietnam)

·        03-2006/06-2006: Robert Verger, Modelling the Se Bang Fai river with HBV96. (Lao National Mekong Committee: Vientiane, Lao)

·        05-2005/08-2005: Joanne de Kruijf, Sustainability of rural water supply systems. Assessment of gravity systems implemented by Plan Cameroon in the Northwest province of Cameroon. (Plan Cameroon: Bamenda, Cameroon)

·        03-2005/07-2005: Frank Dekker, To sell or not to sell. A research about the availability of water in the Nam Ngum river basin (Lao). (Lao National Mekong Committee: Vientiane, Lao)

·        09-2004/12-2004: Tessa Hoffman, De Vlaggenkaart. De ontwikkeling van een digitaal overzicht van de risicovolle objecten binnen een waterschap ter ondersteuning van de calamiteiten coördinator. (HKV: Lelystad)

·        12-2003/03-2004: Arnejan van Loenen, Influence of high protection of Shetzu Island on downstream Tanshui basin. (Sinotech: Taipei, Taiwan)

·        01-2003/04-2003: Marieke ten Voorde, Proving subsurface stormflow (SSF) and simulating runoff with HEC-HMS and QAREA. (ETH: Zürich, Zwitserland)

Affiliated study programs

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

Current projects

Hydrological characterization of land use in two exemplary catchments

Focus in this PhD research is on the Java and Katingan catchments. These two catchments have been chosen because they represent on the one hand side the densely populated, agriculture and industry dominated situation in Java and on the other hand the scarcely populated, nature and forestry dominated situation in Kalimantan.

High and low flows in the Meuse

The Meuse is a river with a length of about 900 km from the source in France to the North Sea. Its basin covers an area of approximately 33,000 km2 including parts of France, Luxembourg, Belgium, Germany and the Netherlands.

Finished projects

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

Land use changes such as deforestation and conversion of agricultural lands influence the hydrology of catchments and hence water availability and demand. In Indonesia, deforestation and development of agricultural lands and palm oil plantations have resulted in land use changes at different scales.

Future flow projections and their impacts on reservoir operation

Climate change induced by the increase of greenhouse gases in the atmosphere will have significant effects on spatial and temporal patterns of hydrologically relevant variables. Consequently, climate change has a great impact on water management, for example, reservoir operation.

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

In recent years, the source region of the Yellow River (SRYR) has been subject to a changing climate which affects various water balance components as illustrated by the drawn-down of groundwater levels, decreased runoff and reduction of wetland and permafrost areas.

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

Climate change induced by the increase of the emission of greenhouse gases will have significant effects on spatial and temporal patterns of hydrological relevant variables. Much work has been done on the impact of climate change on hydrological variables.

Flood security strategies for dike ring 6 - reducing system risk

Dike ring 6 Groningen-Friesland is the largest dike ring in the Netherlands. Flooding from the sea is expected to cause 1,000 to 100,000 casualties and an economic damage between 10 and 100 billion euro (RIVM, 2004).

PUB: Predictions in Ungauged Basins

Predictions in Ungauged Basins (PUB) is an initiative that emerged out of discussions between IAHS (International Association of Hydrological Sciences) members on internet and during a series of IAHS sponsored meetings in Maastricht (18-27 July, 2001), Kofu (28-29 March, 2002) and Brasilia (20-22 November, 2002) about the need to reduce the predictive uncertainty in hydrological science and practice.

Appropriate modelling in decision support systems for river basin management

The use of models is essential for model-based decision support systems in river basin management. Often very complicated models are used, which are sometimes more than the needs of decision support systems.

Appropriate flow forecasting for reservoir operation

Appropriate modelling seeks for a complexity-accuracy-uncertainty consistent system that is as simple as possible, but compatible for its task. Appropriate flood forecasting methods have a sound practical background, in this research, they are oriented to satisfy the requirements of reservoir operation.

FLOCODS: FLOod COntrol Decision Support

Decision Support System for ecosystem upgrading and flood control of a sustainable development in the Red River System (China, Vietnam).

Appropriate modelling of climate change impacts on river flooding

My PhD project dealt with the determination of the appropriate model complexity dependent on modelling objective and research area, and the assessment of the climate change impact on river flooding with the obtained, appropriate model.

Modelling the total water balance in Indonesia

Indonesia faces various severe problems with ‘environmental water’: flooding in the wet season and shortage in the dry season. Effects of climate change are predicted to make the situation worse.

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

Low flows in rivers may result in several types of problems to society, e.g. lack of water for drinking water supply, irrigation, industrial use and power production, hindrance to navigation and deterioration of water quality.

Uncertain hydraulic roughness in river models

Hydraulic–morphological river models are applied to design measures for purposes such as safety against flooding, navigation and ecological rehabilitation. Much effort has been put into the development of sophisticated numerical model system.

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