Articles | Volume 26, issue 13
https://doi.org/10.5194/hess-26-3629-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-3629-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Exploring river–aquifer interactions and hydrological system response using baseflow separation, impulse response modeling, and time series analysis in three temperate lowland catchments
Institute for Environment, Health and Safety, Belgian Nuclear Research Centre, 2400 Mol, Belgium
Department of Earth and Environmental Sciences, KU Leuven, 3001 Leuven, Belgium
Bart Rogiers
Institute for Environment, Health and Safety, Belgian Nuclear Research Centre, 2400 Mol, Belgium
Koen Beerten
Institute for Environment, Health and Safety, Belgian Nuclear Research Centre, 2400 Mol, Belgium
Matej Gedeon
Institute for Environment, Health and Safety, Belgian Nuclear Research Centre, 2400 Mol, Belgium
Marijke Huysmans
Department of Earth and Environmental Sciences, KU Leuven, 3001 Leuven, Belgium
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium
Related authors
No articles found.
Nathan Vandermaelen, Koen Beerten, François Clapuyt, Marcus Christl, and Veerle Vanacker
Geochronology, 4, 713–730, https://doi.org/10.5194/gchron-4-713-2022, https://doi.org/10.5194/gchron-4-713-2022, 2022
Short summary
Short summary
We constrained deposition phases of fluvial sediments (NE Belgium) over the last 1 Myr with analysis and modelling of rare isotopes accumulation within sediments, occurring as a function of time and inverse function of depth. They allowed the determination of three superposed deposition phases and intercalated non-deposition periods of ~ 40 kyr each. These phases correspond to 20 % of the sediment age, which highlights the importance of considering deposition phase when dating fluvial sediments.
Alberto Casillas-Trasvina, Bart Rogiers, Koen Beerten, Laurent Wouters, and Kristine Walraevens
Hydrol. Earth Syst. Sci., 26, 5577–5604, https://doi.org/10.5194/hess-26-5577-2022, https://doi.org/10.5194/hess-26-5577-2022, 2022
Short summary
Short summary
Heat in the subsurface can be used to characterize aquifer flow behaviour. The temperature data obtained can be useful for understanding the groundwater flow, which is of particular importance in waste disposal studies. Satellite images of surface temperature and a temperature–time curve were implemented in a heat transport model. Results indicate that conduction plays a major role in the aquifer and support the usefulness of temperature measurements.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
Short summary
Short summary
Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
Cited articles
Alaghmand, S., Beecham, S., Woods, J. A., Holland, K. L., Jolly, I. D.,
Hassanli, A., and Nouri, H.: Quantifying the impacts of artificial flooding as a salt interception measure on a river-floodplain interaction in a semi-arid saline floodplain, Environ. Model. Softw., 79, 167–183,
https://doi.org/10.1016/j.envsoft.2016.02.006, 2016.
Anibas, C., Fleckenstein, J. H., Volze, N., Buis, K., Verhoeven, R., Meire,
P., and Batelaan, O.: Transient or steady-state? Using vertical temperature
profiles to quantify groundwater-surface water exchange, Hydrol. Process.,
23, 2165–2177, https://doi.org/10.1002/hyp.7289, 2009.
Anibas, C., Buis, K., Verhoeven, R., Meire, P., and Batelaan, O.: A simple
thermal mapping method for seasonal spatial patterns of groundwater–surface
water interaction, J. Hydrol., 397, 93–104, https://doi.org/10.1016/j.jhydrol.2010.11.036, 2011.
Anibas, C., Schneidewind, U., Vandersteen, G., Joris, I., Seuntjens, P., and
Batelaan, O.: From streambed temperature measurements to spatial-temporal
flux quantification: Using the LPML method to study groundwater-surface
water interaction, Hydrol. Process., 30, 203–216, https://doi.org/10.1002/hyp.10588, 2015.
Anibas, C., Tolche, A. D., Ghysels, G., Nossent, J., Schneidewind, U., Huysmans, M., and Batelaan, O.: Delineation of spatial-temporal patterns of
groundwater/surface-water interaction along a river reach (Aa river,
belgium) with transient thermal modeling, Hydrogeol. J., 26, 819–835,
https://doi.org/10.1007/s10040-017-1695-9, 2017.
Arnold, J. G. and Allen, P. M.: Automated methods for estimating baseflow
and ground water recharge from streamflow records, J. Am. Water Resour. Assoc., 35, 411–424, https://doi.org/10.1111/j.1752-1688.1999.tb03599.x, 1999.
Barthel, R. and Banzhaf, S.: Groundwater and surface water interaction at the regional-scale a review with focus on regional integrated models, Water Resour. Manage., 30, 1–32, https://doi.org/10.1007/s11269-015-1163-z, 2016.
Batelaan, O. and De Smedt, F.: GIS-based recharge estimation by coupling
surface–subsurface water balances, J. Hydrol., 337, 337–355, https://doi.org/10.1016/j.jhydrol.2007.02.001, 2007.
Brunner, P., Therrien, R., Renard, P., Simmons, C. T., and Franssen, H.-J.
H.: Advances in understanding river-groundwater interactions, Rev. Geophys.,
55, 818–854, https://doi.org/10.1002/2017rg000556, 2017.
Byrd, R. H., Lu, P., Nocedal, J., and Zhu, C.: A limited memory algorithm
for bound constrained optimization, SIAM J. Sci. Comput., 16, 1190–1208,
https://doi.org/10.1137/0916069, 1995.
Cleveland, R. B., Cleveland, W. S., McRae, J. E., and Terpenning, I.: STL: A
seasonal-trend decomposition, J. Off. Stat., 6, 3–73, 1990.
Cushman, J. H. and Tartakovsky, D. M. (Eds.): The Handbook of Groundwater
Engineering, in: 3rd Edn., CRC Press, Boca Raton, USA, https://doi.org/10.1201/9781315371801, 2016.
Di Ciacca, A., Leterme, B., Laloy, E., Jacques, D., and Vanderborght, J.:
Scale-dependent parameterization of groundwater–surface water interactions
in a regional hydrogeological model, J. Hydrol., 576, 494–507, https://doi.org/10.1016/j.jhydrol.2019.06.072, 2019.
Dierauer, J. and Whitfield, P.: FlowScreen: Daily Streamflow Trend and Change Point Screening, R package version 1.2.6, https://CRAN.R-project.org/package=FlowScreen (last access:
20 February 2021), 2019.
DOV: Databank Ondergrond Vlaanderen (Flanders Subsurface Database),
http://www.dov.vlaanderen.be, last access: 1 January 2020.
Fuka, D. R., Walter, M. T., Archibald, J. A., Steenhuis, T. S., and Easton, Z. M.: EcoHydRology: A community modeling foundation for Eco-Hydrology, R package version 0.4.12.1, GitHub [code], https://github.com/cran/EcoHydRology (last access: 20 February 2021), 2018.
Eckhardt, K.: How to construct recursive digital filters for baseflow
separation, Hydrol. Process., 19, 507–515, https://doi.org/10.1002/hyp.5675, 2005.
Eckhardt, K.: A comparison of baseflow indices, which were calculated with
seven different baseflow separation methods, J. Hydrol., 352, 168–173,
https://doi.org/10.1016/j.jhydrol.2008.01.005, 2008.
Fan, J. and Gijbels, I.: Local Polynomial Modelling and its Applications, in: 1st Edn., Routledge, Boca Raton, USA, https://doi.org/10.1201/9780203748725, 2018.
Flanders Environment Agency (VMM) and Flanders Hydraulics Research: Waterinfo, https://www.waterinfo.be, last access: 10 March 2020.
Fu, Z., Ciais, P., Bastos, A., Stoy, P. C., Yang, H., Green, J. K., Wang, B., Yu, K., Huang, Y., Knohl, A., Šigut, L., Gharun, M., Cuntz, M., Arriga, N., Roland, M., Peichl, M., Migliavacca, M., Cremonese, E., Varlagin, A., Brümmer, C., Gourlez de la Motte, L., Fares, S., Buchmann, N., El-Madany, T. S., Pitacco, A., Vendrame, N., Li, Z., Vincke, C., Magliulo, E., and Koebsch, F.: Sensitivity of gross primary productivity to climatic drivers during the summer drought of 2018 in Europe, Philos. T. Roy. Soc. B, 375, 20190747, https://doi.org/10.1098/rstb.2019.0747, 2020.
Ghysels, G., Benoit, S., Awol, H., Jensen, E. P., Tolche, A. D., Anibas, C.,
and Huysmans, M.: Characterization of meter-scale spatial variability of
riverbed hydraulic conductivity in a lowland river (Aa river, Belgium), J.
Hydrol., 559, 1013–1027, https://doi.org/10.1016/j.jhydrol.2018.03.002, 2018.
Ghysels, G., Anibas, C., Awol, H., Tolche, A. D., Schneidewind, U., and
Huysmans, M.: The significance of vertical and lateral groundwaterSurface
water exchange fluxes in riverbeds and riverbanks: Comparing 1D analytical
flux estimates with 3D groundwater modelling, Water, 13, 306, https://doi.org/10.3390/w13030306, 2021.
Gonzales, A. L., Nonner, J., Heijkers, J., and Uhlenbrook, S.: Comparison of
different base flow separation methods in a lowland catchment, Hydrol. Earth
Syst. Sci., 13, 2055–2068, https://doi.org/10.5194/hess-13-2055-2009, 2009.
Hall, F. R.: Base-flow recessions – a review, Water Resour. Res., 4, 973–983, https://doi.org/10.1029/wr004i005p00973, 1968.
Hänsel, S., Ustrnul, Z., Łupikasza, E., and Skalak, P.: Assessing
seasonal drought variations and trends over Central Europe, Adv. Water Resour., 127, 53–75, https://doi.org/10.1016/j.advwatres.2019.03.005, 2019.
Hyndman, R. J. and Athanasopoulos, G.: Forecasting: principles and practice, in: 3rd Edn., OTexts, Melbourne, Australia, https://otexts.com/fpp3/, last access: 15 June 2021.
Jakeman, A. J. and Hornberger, G. M.: How much complexity is warranted in a
rainfall–runoff model?, Water Resour. Res., 29, 2637–2649, https://doi.org/10.1029/93wr00877, 1993.
Killian, C. D., Asquith, W. H., Barlow, J. R. B., Bent, G. C., Kress, W. H.,
Barlow, P. M., and Schmitz, D. W.: Characterizing groundwater and
surface-water interaction using hydrograph-separation techniques and
groundwater-level data throughout the Mississippi Delta, USA, Hydrogeol. J.,
27, 2167–2179, https://doi.org/10.1007/s10040-019-01981-6, 2019.
KMI – Koninklijk Meteorologisch Instituut (Royal Meteorological Institute): http://www.kmi.be, last access: 1 January 2020.
Krause, S., Blume, T., and Cassidy, N. J.: Investigating patterns and controls of groundwater up-welling in a lowland river by combining Fibre-optic Distributed Temperature Sensing with observations of vertical
hydraulic gradients, Hydrol. Earth Syst. Sci., 16, 1775–1792, https://doi.org/10.5194/hess-16-1775-2012, 2012.
Laaha, G., Gauster, T., Tallaksen, L. M., Vidal, J.-P., Stahl, K., Prudhomme, C., Heudorfer, B., Vlnas, R., Ionita, M., Van Lanen, H. A. J., Adler, M.-J., Caillouet, L., Delus, C., Fendekova, M., Gailliez, S., Hannaford, J., Kingston, D., Van Loon, A. F., Mediero, L., Osuch, M., Romanowicz, R., Sauquet, E., Stagge, J. H., and Wong, W. K.: The European 2015 drought from a hydrological perspective, Hydrol. Earth Syst. Sci., 21, 3001–3024, https://doi.org/10.5194/hess-21-3001-2017, 2017.
Laga, P., Louwye, S., and Geets, S.: Paleogene and Neogene lithostratigraphic units (Belgium), Geol. Belg., 4, 135–152, https://doi.org/10.20341/gb.2014.050, 2001.
Long, A. J.: RRAWFLOW: Rainfall-response aquifer and watershed flow model (v1.15), Geosci. Model Dev., 8, 865–880, https://doi.org/10.5194/gmd-8-865-2015, 2015.
Long, A. J. and Mahler, B. J.: Prediction, time variance, and classification
of hydraulic response to recharge in two karst aquifers, Hydrol. Earth Syst.
Sci., 17, 281–294, https://doi.org/10.5194/hess-17-281-2013, 2013.
Lorenz, D.: DVstats: Functions to manipulate daily-values data, R package version 0.3.4, GitHub [code], https://github.com/USGS-R/DVstats (last access: 20 February 2021), 2017.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models part i – A discussion of principles, J. Hydrol., 10, 282–290,
https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
Nathan, R. J. and McMahon, T. A.: Evaluation of automated techniques for base flow and recession analyses, Water Resour. Res., 26, 1465–1473,
https://doi.org/10.1029/wr026i007p01465, 1990.
Niswonger, R. G. and Prudic, D. E.: Documentation of the Streamflow-Routing (SFR2) Package to Include Unsaturated Flow Beneath Streams – A Modification to SFR1, No. 6-A13, US Geological Survey, https://doi.org/10.3133/tm6a13, 2005.
Nützmann, G., Levers, C., and Lewandowski, J.: Coupled groundwater flow
and heat transport simulation for estimating transient aquifer-stream exchange at the lowland River Spree (Germany), Hydrol. Process., 28,
4078–4090, https://doi.org/10.1002/hyp.9932, 2013.
Olsthoorn, T. N.: Do a bit more with convolution, Groundwater, 46, 13–22,
https://doi.org/10.1111/j.1745-6584.2007.00342.x, 2007.
Peterson, R. A. and Cavanaugh, J. E.: Ordered quantile normalization: A
semiparametric transformation built for the cross-validation era, J. Appl.
Stat., 47, 2312–2327, https://doi.org/10.1080/02664763.2019.1630372, 2019.
Peterson, R. A.: Finding Optimal Normalizing Transformations via bestNormalize, R J., 13, 310–329, https://doi.org/10.32614/RJ-2021-041, 2021.
Piggott, A. R., Moin, S. and Southam, C.: A revised approach to the UKIH
method for the calculation of baseflow/Une approche améliorée de la
méthode de l'UKIH pour le calcul de l'écoulement de base, Hydrolog.
Sci. J., 50, 911–920, https://doi.org/10.1623/hysj.2005.50.5.911, 2005.
Poulsen, J. R., Sebok, E., Duque, C., Tetzlaff, D., and Engesgaard, P. K.:
Detecting groundwater discharge dynamics from point-to-catchment scale in a
lowland stream: Combining hydraulic and tracer methods, Hydrol. Earth Syst.
Sci., 19, 1871–1886, https://doi.org/10.5194/hess-19-1871-2015, 2015.
Rutledge, A. T.: Computer programs for describing the recession of ground-water discharge and for estimating mean ground-water recharge and
discharge from streamflow records: Update, No. 98-4148, US Department of the Interior, US Geological Survey, https://doi.org/10.3133/wri984148, 1998.
Schneidewind, U., van Berkel, M., Anibas, C., Vandersteen, G., Schmidt, C.,
Joris, I., Seuntjens, P., Batelaan, O., and Zwart, H. J.: LPMLE3: A novel
1-D approach to study water flow in streambeds using heat as a tracer, Water
Resour. Res., 52, 6596–6610, https://doi.org/10.1002/2015wr017453, 2016.
Searcy, J. K.: Flow-duration curves, US Government Printing Office, Series no. 1542, https://doi.org/10.3133/wsp1542A, 1959.
Sloto, R. A. and Crouse, M. Y.: HYSEP: A computer program for streamflow
hydrograph separation and analysis, No. 96-4040, US Geological Survey,
https://doi.org/10.3133/wri964040, 1996.
Spinoni, J., Vogt, J. V., Naumann, G., Barbosa, P., and Dosio, A.: Will drought events become more frequent and severe in Europe?, Int. J. Climatol., 38, 1718–1736, https://doi.org/10.1002/joc.5291, 2017.
Tallaksen, L. M. and Van Lanen, H. A. (Eds.): Hydrological drought: Processes and estimation methods for streamflow and groundwater, in: 1st Edn., Elsevier, ISBN 9780444516886, 2004.
Turkelboom, F., Demeyer, R., Vranken, L., De Becker, P., Raymaekers, F., and De Smet, L.: How does a nature-based solution for flood control compare to a technical solution? Case study evidence from Belgium, Ambio, 50, 1431–1445, https://doi.org/10.1007/s13280-021-01548-4, 2021.
US Geological Survey: RRAWFLOW: Rainfall-Response Aquifer and Watershed Flow Model, US Geological Survey [code], https://www.usgs.gov/centers/dakota-water/science/rrawflow-rainfall-response-aquifer-and-watershed-flow-model?qt-science_center_objects=7#qt-science_center_objects, last access: 23 May 2020.
Van Hoey, S.: WateRinfo: Download time series data from waterinfo.be, GitHub [code and data set], https://github.com/ropensci/wateRinfo, last access: 10 March 2020.
Van Walsum, P. E. V., Verdonschot, P. F. M., and Runhaar, J.: Effects of
climate and land-use change on lowland stream ecosystems, No. 523, Alterra,
https://library.wur.nl/WebQuery/wurpubs/367628 (last access:
1 February 2020), 2002.
Venetis, C.: Finite aquifers: Characteristic responses and applications, J.
Hydrol., 12, 53–62, https://doi.org/10.1016/0022-1694(70)90032-6, 1970.
Vogel, R. M. and Fennessey, N. M.: Flow-duration curves. I: New interpretation and confidence intervals, J. Water Res. Pl. Manage., 120,
485–504, https://doi.org/10.1061/(asce)0733-9496(1994)120:4(485), 1994.
von Asmuth, J. R. and Knotters, M.: Characterising groundwater dynamics based on a system identification approach, J. Hydrol., 296, 118–134,
https://doi.org/10.1016/j.jhydrol.2004.03.015, 2004.
von Asmuth, J. R., Bierkens, M. F. P., and Maas, K.: Transfer function-noise
modeling in continuous time using predefined impulse response functions,
Water Resour. Res., 38, 23-1–23-12, https://doi.org/10.1029/2001wr001136, 2002.
Young, P. C.: Hypothetico-inductive data-based mechanistic modeling of
hydrological systems, Water Resour. Res., 49, 915–935, https://doi.org/10.1002/wrcr.20068, 2013.
Zomlot, Z., Verbeiren, B., Huysmans, M., and Batelaan, O.: Spatial distribution of groundwater recharge and base flow: Assessment of controlling factors, J. Hydrol. Reg. Stud., 4, 349–368, https://doi.org/10.1016/j.ejrh.2015.07.005, 2015.
Short summary
Lowland rivers and shallow aquifers are closely coupled. We study their interactions here using a combination of impulse response modeling and hydrological data analysis. The results show that the lowland catchments are groundwater dominated and that the hydrological system from precipitation impulse to groundwater inflow response is a very fast response regime. This study also provides an alternative method to estimate groundwater inflow to rivers from the perspective of groundwater level.
Lowland rivers and shallow aquifers are closely coupled. We study their interactions here using...