Prof. dr. ir. Nick van de Giesen
Since July 2004, Nick van de Giesen has held the Van Kuffeler Chair of Water Resources Management of the Faculty of Civil Engineering and Geosciences. He teaches Integrated Water Resources Management (CIE4450) and Water Management (CTB2120). His main interests are measuring and modeling of complex water resources systems and the development of science-based decision support systems. Development of new observation techniques, both in situ and through satellites, as well as High Performance Computing, are the core themes of both research portfolio and teaching curriculum. Since 1 January 2015, he is chairman of the Delft Global Initiative.
Before coming to Delft University, he worked from 1998 to 2004, at the Center for Development Research of Bonn University, with as main activity the scientific coordination of the GLOWA Volta Project. From 1994 to 1998, he did Post-Doctoral research on the hydrology and management of inland valleys at WARDA, Cote d’Ivoire. He received his Ph.D. from Cornell University for his work on wetland development in Rwanda. At Wageningen University, he did his M.Sc. in irrigation engineering. For a complete CV see CV_Nick_van_de_Giesen.pdf.
Main research projects
Trans-African Hydro-Meteorological Observatory (TAHMO): Monitoring Africa's environment is an important challenge if the continent's resources are to be used in an optimal and sustainable manner. Food production and harvest predictions would profit from improved understanding of water availability over space and time. Presently, the African observation network is very limited. National governments and regional planners do not have the data to make proper decisions regarding investments in water resources infrastructure.
The idea behind this project is to build a dense network of hydro-meteorological monitoring stations in sub-Saharan Africa; one every 30 km. This asks for 20,000 of such stations. By applying innovative sensors and ICT, each station should be very cost efficient in installation, operation, and maintenance. The stations are placed at schools and integrated in the educational program. The data will be combined with models and satellite observations to obtain a very complete insight in the distribution of water and energy stocks and fluxes.
Within this project, we continue to build and test new sensors, such as an acoustic disdrometer (rain gauge) that can be produced for a fraction of the costs of a commercial equivalent with the same specifications. The first prototype disdrometer was developed in The Netherlands and tested in Tanzania for a total project cost of €5000. A recent addition is the use of GPS (GNSS) receivers for measuring atmospheric water content. This idea won the 2015 Academic and Regional European Satellite Navigation Challenge. See: tahmo.org.
eWaterCycle: This project will develop a high-resolution global hydrological model. The project is a cooperative effort by Utrecht University, the Netherlands eScience Center, and TU Delft. This model was developed in Utrecht and is called PCRGLOB-WB. The model has been parallelised in order for it to be run very fast on a CPU cluster or a super computer. The final ambition is to run the model at a grid of 100m x 100m, with as first intermediary step a global grid of 10km x 10km. The model will be assimilated with measurements collected on the ground and by satellites. Because the main computational bottle neck for this development is the memorry directly accessible by the CPU's, a special data assimilation algorithm has been developed in order to keep model development scalable. A beta version of the model can be found at forecast.ewatercycle.org. The video below presents the project.
Distributed Temperature Sensing: An important focus of recent research concerns the application of Distributed Temperature sensing (DTS) to water management problems. DTS allows for precise measurement of temperature along a fiber optic cable. The length of the cable may go up to 10 km and temperature will be measured at each meter. Accuracy will increase with the duration of the measurement. For measurements of 30 seconds, an accuracy of 0.1 K can be obtained, improving to 0.02 K for measurements of 30 minutes.
The applications have been numerous, leading to many scientific publications in recent years (see below). The first application concerned groundwater inflow into a small stream in Luxembourg. Subsequent applications include finding illicit sewer connections, finding seepage zones in canals, determining soil moisture content, and determining atmospheric temperature profiles. Important partners are Oregon State University, University of Nevada Reno, Ecole Polytechnique Fédérale de Lausanne, and Charles Sturt University. Regular workshops are organized to help scientists become familiar with this interesting technique (see ctemps.org).
For a list of all projects which are conducted in Nick van de Giesen's chair see all projects.
Systems of interest
“Earth's surface water change over the past 30 years.” Donchyts, Gennadii, Fedor Baart, Hessel Winsemius, Noel Gorelick, Jaap Kwadijk, Nick van de Giesen. Nature Climate Change 6, 9:810-813, doi:10.1038/nclimate3111, 2016
“Practical considerations for enhanced-resolution coil-wrapped distributed temperature sensing.” Koen Hilgersom, Tim van Emmerik, Anna Solcerova, Wouter Berghuijs, John Selker, Nick van de Giesen, Geoscientific Instrumentation Methods and Data Systems, 5:151-162, doi:10.5194/gi-5-151-2016, 2016
“Three-dimensional dense distributed temperature sensing for measuring layered thermohaline systems,” Hilgersom, K. P., N. C. van de Giesen, P. G. B. de Louw, and M. Zijlema. Water Resources Research, 52, doi:10.1002/2016WR019119, 2016
“Estimating soil moisture and soil thermal and hydraulic properties by assimilating soil temperatures using a particle batch smoother,” Jianzhi Dong, Susan C. Steele-Dunne, Tyson E. Ochsner, Nick van de Giesen. Advances in Water Resources, 91:104-116,doi:10.1016/j.advwatres.2016.03.008, 2016
“A 30m resolution water mask including estimation of positional accuracy of rivers using Landsat 8, SRTM and OpenStreetMap: A case study in the Murray-Darling Basin, Australia.” Gennadii Donchyts, Jaap Schellekens, H.C. (Hessel) Winsemius, Elmar Eisemann, Nick Van De Giesen, Remote Sensing, 8(5):386, doi:10.3390/rs8050386, 2016
“Observed Soil Moisture–Precipitation Feedback in Illinois: A Systematic Analysis over Different Scales.” H. M. Duerinck, R. J. van der Ent, N. C. van de Giesen, G. Schoups, V. Babovic, Pat J.-F. Yeh, Journal of Hydrometeorology, 17(6):1645-1660, doi:10.1175/JHM-D-15-0032.1, 2016
“Investigation of Temperature Dynamics in Small and Shallow Reservoirs, Case Study: Lake Binaba, Upper East Region of Ghana.” Ali Abbasi, Frank Ohene Annor, Nick Van De Giesen, Water, 8(3):84; doi:10.3390/w8030084, 2016
“Decision support method to systematically evaluate first level inspections of the functional status of check dams.” Vivian Juliette Cortes Arevalo, Simone Sterlacchini, Thom Bogaard, Sandra Junier, Nick van de Giesen, Structure and Infrastructure Engineering, doi: 10.1080/15732479.2016.1144619, 2016
“A comparison between leaf dielectric properties of stressed and unstressed tomato plants.” Tim van Emmerik, Susan Steele-Dunne, Jasmeet Judge, Nick van de Giesen, IEEE Transactions on Geoscience and Remote Sensing, 53(7):3855-3869, doi:10.1109/IGARSS.2015.7325753, 2015
“Removal efficiency of storm water treatment techniques: Standardized full scale laboratory testing.” F.C. Boogaard, F. van de Ven, J.G. Langeveld, J. Kluck, N. van de Giesen, Urban Water Journal, doi:10.1080/1573062X.2015.1092562, 2015
“Reduction of Used Memory Ensemble Kalman Filtering (RumEnKF): A data assimilation scheme for memory intensive, high performance computing.” Rolf Hut, Barnabas A. Amisigo, Susan Steele-Dunne, Nick van de Giesen, Advances in Water Resources, 86:273-283, doi:10.1016/j.advwatres.2015.09.007, 2015
“GlobWat – a global water balance model to assess water use in irrigated agriculture.” J. Hoogeveen, J-M. Faurès, L. Peiser, J.J. Burke, N.C. Van de Giesen, Hydrology and Earth System Sciences, 19:3829-3844, doi:10.5194/hess-19-3829-2015, 2015
“Determining soil moisture by assimilating soil temperature measurements using the Ensemble Kalman Filter.” Jianzhi Dong, Susan C Steele-Dunne, Tyson E Ochsner, Nick van de Giesen, Advances in Water Resources, 86:340-353, doi:10.1016/j.advwatres.2015.08.011, 2015
“A particle batch smoother for soil moisture estimation using soil temperature observations.” Jianzhi Dong. Susan Steele-Dunne, Nick van de Giesen, Advances in Water Resources, 83:111-122, doi:10.1016/j.advwatres.2015.05.017, 2015
“The influence of a eutrophic lake to the river downstream: Temporal and spatial algal composition changes and the driving factors.” Qian Yu, Yongcan Chen, Nick van de Giesen, Dejun Zhu, Water, 7:2184-2201, doi:10.3390/w7052184, 2015
“Spatial distribution of rainfall-related complaints along urban overland flow-paths.” S. Gaitan, J.A.E. ten Veldhuis, N.C. van de Giesen, Water Resources Management, doi:10.1007/s11269-015-1006-y, 2015
“Floodplain wetland mapping in the White Volta River Basin of Ghana.” Benjamin K. Nyarko, Bernd Diekkrüger, Nick C. Van De Giesen, Paul L.G. Vlek, GIScience & Remote Sensing, doi:10.1080/15481603.2015.1026555, 2015
“Design of a Low-Cost Microcontroller-Based Lightning Monitoring Device.” Kamau M. Gilbert, Kang’ethe M. Samuel, Kamau I.Stanley, Nick van de Giesen, Kabarak Journal of Research & Innovation, 3(1):32-40, 2015
“Weighted bankruptcy rules and transboundary water resources allocation.” Hojjat Mianabadi, Erik Mostert, Saket Pande, Nick Van de Giesen, Water Resources Management, doi:10.1007/s11269-015-0942-x, 2015
“On the sensitivity of urban hydrodynamic modelling to rainfall spatial and temporal resolution.” G. Bruni, R. Reinoso, N.C. van de Giesen, F.H.L.R. Clemens, J.A.E. ten Veldhuis, Hydrology and Earth System Sciences, 19:691-709, doi:10.5194/hess-19-691-2015, 2015
“Impact of Diurnal Variation in Vegetation Water Content on Radar Backscatter from Maize During Water Stress.” Tim van Emmerik, Susan Steele-Dunne, Jasmeet Judge, Nick van de Giesen, IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2014.2386142, 2015
“Fiber optic distributed temperature sensing for the determination of air temperature.” S.A.P. de Jong, J. Slingerland, N.C. van de Giesen, Atmospheric Measurement Techniques, 8:335-339, doi:10.5194/amt-8-335-2015, 2015
“Hyper-resolution global hydrological modelling: what’s next? ‘Everywhere and locally relevant.’” Marc F.P. Bierkens, Victoria A. Bell, Peter Burek, Nathaniel Chaney, Laura Condon, Cédric H. David, Ad de Roo, Petra Döll, Niels Drost, James S. Famiglietti, Martina Flörke, Dave Gochis, Paul Houser, Rolf Hut, Stefan Kollet, Reed Maxwel, John T. Reager, Luis Samaniego, Edward Sudicky, Edwin H. Sutanudjaja, Nick van de Giesen, Hessel Winsemius, Eric F. Wood, Hydrological Processes, 29(2):310-320, doi:10.1002/hyp.10391, 2015
“Highly parameterized inversion of groundwater reactive transport for a complex field site.” Luca Carniato, Gerrit Schoups, Nick van de Giesen, Piet Seuntjens, Leen Bastiaens, Hans Sapione, Journal of Contaminant Hydrology, 173:38-58, doi:10.1016/j.jconhyd.2014.12.001, 2015
“Operational flood control of a delta system using Large Time Step Model Predictive Control.” Xin Tian, Peter-Jules van Overloop, Rudy Negenborn, Nick van de Giesen, Advances in Water Resources, 75:1-13, doi:10.1016/j.advwatres.2014.10.010, 2015
“Development of a risk-based framework to integrate flood insurance.” Muhammad Atiq Ur Rehman Tariq, W.A. Jiwala, Nick van de Giesen, Olivier Hoes. Journal of Flood Risk Management, 7(4): 291-307, doi:10.1111/jfr3.12056, 2014
“Short-term Management of Water Systems using Ensemble Forecasts in Tree-Based Model Predictive Control.” Raso, L., D. Schwanenberg, N. van de Giesen, P.J. van Overloop, Advances in Water Resources, 71:200-208, doi:10.1016/j.advwatres.2014.06.009, 2014
“Mapping Variability of Soil Water Content and Flux across 1-1,000 m scales using the Actively Heated Fiber Optic Method.” Sayde, C., J. B. Buelga, L.E. Rodríguez-Sinobas, L.E. Khoury, M. English, N. van de Giesen, J.S. Selker, Water Resources Research, doi:10.1002/2013WR014983, 2014
“Evaluating the Infiltration Performance of 10 Dutch Permeable Pavements Using a New Full-scale Infiltration Testing Method.” Floris Boogaard, Terry Lucke, Nick van de Giesen, Frans van de Ven, Water, 6(7):2070-2083; doi:10.3390/w6072070, 2014
“Inference of reactive transport model parameters using a Bayesian multivariate approach.” Luca Carniatio, Gerrit Schoups, Nick Van de Giesen, Water Resources Research, 50:64066427, doi:10.1002/2013WR014156, 2014
“A new bankruptcy method for conflict resolution in water resources allocation.” Hojjat Mianabadi, Erik Mostert, Mahdi Zarghami, Nick van de Giesen, Journal of Environmental Management, 144:152-159, doi: 10.1016/j.jenvman.2014.05.018, 2014
“The Trans-African Hydro-Meteorological Observatory (TAHMO).” Nick van de Giesen, Rolf Hut, John Selker, WIREs Water, doi:10.1002/wat2.1034, 2014
“Comment on "Capabilities and limitations of tracing spatial temperature patterns by fiber-optic distributed temperature sensing” by L. Rose, S. Krause, and N.J. Cassidy.” J.S. Selker, Scott Tyler, Nick van de Giesen, Water Resources Research, doi: 10.1002/2013WR014979, 2014
“Application of the Ordered Weighted Averaging Method to the Caspian Sea conflict.” Hojjat Mianabadi, Majid Sheikhmohammady, Erik Mostert, Nick Van de Giesen, Stochastic Environmental Research and Risk Assessment, 28:1359–1372, doi:10.1007/s00477-014-0861-z, 2014
“Stormwater Quality Characteristics in (Dutch) Urban Areas and Performance of Settlement Basins.” Floris C. Boogaard, Frans van de Ven, Jeroen G. Langeveld, Nick van de Giesen, Challenges, 5(1):112-122; doi:10.3390/challe5010112, 2014
“Remotely sensed monitoring of small reservoir dynamics: A Bayesian approach.” Dirk Eilander, Frank O. Annor, Lorenzo Iannini, Nick van de Giesen, Remote Sensing, 6:1191-1210, doi:10.3390/rs6021191, 2014
“Medicinal Footprint of the population of the Rhine basin.” Rolf Hut, Nick van de Giesen, Corine J. Houtman, Environmental Research Letters, 8:044057, doi: 10.1088/1748-9326/8/4/044057, 2013
“Probabilistic scenario development to estimate future runoff in the Yellow River Basin, China.” Dong, Congli, Gerrit Schoups, Nick van de Giesen. Environmental Engineering and Management Journal, 12(7):1309-1528, 2013
“An information-theoretical perspective on weighted ensemble forecasts.” Weijs, Steven V, Nick van de Giesen. Journal of Hydrology, 498:177–190, doi: 10.1016/j.jhydrol.2013.06.033, 2013
“Data Compression to Define Information Content of Hydrological Time series.” Steven V. Weijs, Nick van de Giesen, Marc B. Parlange, Hydrology and Earth System Sciences, 17:3171-3187, doi:10.5194/hess-17-3171-2013, 2013
“Model reduction in model predictive control of combined water quantity and quality in open channels.” Xu M., P.J. van Overloop, N.C. van de Giesen, Environmental Modelling & Software, 42:72-87, doi:10.1016/j.envsoft.2012.12.008
“HydroZIP: How hydrological knowledge can be used to improve compression of hydrological data.” Steven V.Weijs, Nick van de Giesen, Marc B. Parlange, Entropy, 15:1289-1310, doi:10.3390/e15041289
“Measuring heat balance residual at lake surface using Distributed Temperature Sensing.” T.H.M. van Emmerik, A. Rimmer, Y. Lechinsky, K.J.R. Wenker, S. Nussboim, N.C. van de Giesen, Limnology and Oceanography: Methods, 11:79–90, doi:10.4319/lom.2013.11.79, 2013
“The influence of hard substratum reflection and calibration profiles on in situ fluorescence measurements of benthic microalgal biomass.” Corina Carpentier, Anna Dahlhaus, Nick van de Giesen, Blahoslav Maršálek, Environmental Science: Processes & Impacts, 15:783–793, doi:10.1039/C3EM30654B, 2013
“Scenario development for water resource planning and management: A review.” Dong, Congli, Gerrit Schoups, Nick van de Giesen. Technological Forecasting and Social Change, 80(4): 749-761, doi:10.1016/j.techfore.2012.09.015, 2013
“Heated Optical Fiber for Distributed Soil-Moisture Measurements: a Lysimeter Experiment.” Francesco Ciocca, Ivan Lunati, Nick Van de Giesen, Marc B. Parlange, Vadose Zone Journal, doi:10.2136/vzj2011.0199, 2012
“Tree Structure Generation from Ensemble Forecasts for Real Time Control.” Luciano Raso, Nick van de Giesen, Philip Stive, Peter-Jules van Overloop, Dirk Schwanenberg, Hydrological Processes, 27:75-82, doi:10.1002/hyp.9473, 2012
“De Saint-Venant Equations-Based Model Assessment in Model Predictive Control of Open Channel Flow.” M. Xu, R.R. Negenborn, P.J. van Overloop, N.C. van de Giesen. Advances in Water Resources, 49:37–45, doi:10.1016/j.advwatres.2012.07.004, 2012
“Learning from collaborative research in water management practice.” G.T. Raadgever, E. Mostert, N.C. van de Giesen, Water Resources Management, 26:3251–3266, doi:10.1007/s11269-012-0070-9, 2012
“Floods and Flood Management in Pakistan.” Muhammad Atiq Ur Rehman Tariq, Nick van de Giesen. Physics and Chemistry of the Earth, 47–48:11–20, doi:10.1016/j.pce.2011.08.014, 2012
“Diurnal differences in global ERS scatterometer backscatter observations of the land surface.” Jan Friesen, Susan C Steele-Dunne, Nick van de Giesen, IEEE Transactions on Geoscience and Remote Sensing, 50(7):2618-2629, doi:10.1109/TGRS.2012.2193889, 2012
“Using Diurnal Variation in Backscatter to Detect Vegetation Water Stress.” Susan C. Steele-Dunne, Jan C. Friesen, Nick van de Giesen. IEEE Transactions on Geoscience and Remote Sensing, 50(7):2595-2602, doi:10.1109/TGRS.2012.2194156, 2012
“Double-Ended Calibration of Fiber-Optic Raman Spectra Distributed Temperature Sensing Data.” Nick van de Giesen, Susan Steele-Dunne, Jop Jansen, Olivier Hoes, Mark B. Hausner, Scott Tyler, John Selker. Sensors, 12(5):5471-5485; doi:10.3390/s120505471, 2012
“Reply to comment by Keith J. Beven and Hannah L. Cloke on ‘‘Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth’s terrestrial water.’’” Eric F. Wood, Joshua K. Roundy, Tara J. Troy, Rens van Beek, Marc Bierkens, Eleanor Blyth, Ad de Roo, Petra Döll, Mike Ek, James Famiglietti, David Gochis, Nick van de Giesen, Paul Houser, Peter Jaffe, Stefan Kollet, Bernhard Lehner, Dennis P. Lettenmaier, Christa D. Peters-Lidard, Murugesu Sivapalan, Justin Sheffield, Andrew J. Wade, Paul Whitehead. Water Resources Research, W01802, doi:10.1029/2011WR011202, 2012
“Carbon monoxide as a tracer of gas transport in snow and other natural porous media.” Hendrik Huwald, John Selker, Scott Tyler, Marc Calaf-Bracons, Nick Van de Giesen, Marc Parlange. Geophysical Research Letters, 39, L02504, doi:10.1029/2011GL050247, 2012