Hyporheic zone; Strem channels; Groundwater-surface water interaction
Abstract :
[en] The spatial distribution of hydraulic conductivity (K) in riverbeds is essential to understand and model river–groundwater interactions. However, K in riverbeds varies over several orders of magnitude and its spatial distribution is closely linked to complex geological and fluvial processes. Investigating the local distribution and spatial heterogeneity of K is therefore a challenging task. The use of direct current (DC) and time-domain-induced polarization (IP) geoelectrical methods to map qualitatively the spatial distribution of K within riverbeds is described. The approach is demonstrated for a test site situated in a typical lowland river in Belgium. Inverted geophysical parameters (resistivity, chargeability and normalized chargeability) are compared with estimates of K obtained through slug tests. In general, high values of K are observed in the middle of the river and lower values towards the banks, while the opposite is true for chargeability and normalized chargeability. Therefore, there exists an inverse correlation between K and IP geophysical parameters. Furthermore, geostatistical analyses using variograms show that all parameters have ranges of similar magnitudes. The strong correlation between K and chargeability or normalized chargeability can be explained by the fact that all three parameters are mainly controlled by clay and organic matter content
Disciplines :
Geological, petroleum & mining engineering
Author, co-author :
Benoit, S.
Ghysels, G.
Gommers, K.
Hermans, T.
Nguyen, Frédéric ; Université de Liège - ULiège > Département ArGEnCo > Géophysique appliquée
Huysmans, M.
Language :
English
Title :
Characterization of spatially variable riverbed hydraulic conductivity using electrical resistivity tomography and induced polarization
Anibas C, Buis K, Verhoeven R, Meire P, Batelaan O (2011) A simple thermal mapping method for seasonal spatial patterns of groundwater–surface water interaction. J Hydrol 397:93–104. 10.1016/j.jhydrol.2010.11.036
Anibas C, Schneidewind U, Vandersteen G, Joris I (2016) From streambed temperature measurements to spatial–temporal flux quantification: using the LPML method to study groundwater–surface water interaction. 216(July 2015):203–216. 10.1002/hyp.10588
Archie GE (1942) The electrical resistivity log as an aid in determining some reservoir characteristics. Trans Am Inst Min Metall Pet Eng 146:54–62
Attwa M, Günther T (2013) Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers. Hydrol Earth Syst Sci 17(10):4079–4094. 10.5194/hess-17-4079-2013
Bal K, Meire P (2009) The influence of macrophyte cutting on the hydraulic resistance of lowland rivers. J Aquat Plant Manag 47:65–68
Barker JA, Black JH (1983) Slug tests in fissured aquifers. Water Resour Res 19(6):1558
Batu V (1998) Aquifer hydraulics: a comprehensive guide to hydrogeologic data analysis. Wiley, New York, 727 pp
Börner FD, Schopper W, Weller A (1996) Evaluation of transport and storage properties in the soils and groundwater zone from induced polarization measurements. Geophys Prospect 44:583–601. 10.1111/j.1365-2478.1996.tb00167.x
Bouwer H, Rice RC (1976) A slug test for determining hydraulic conductivity of unconfined aquifers with completely or partially penetrating wells. Water Resour Res 12:423–428
Butler JJ (1996) Slug tests in site characterization: some practical considerations. Environ Geosci 3(3):154–163
Butler JJ (1998) The design, performance, and analysis of slug tests. Lewis, New York
Calver A (2001) Riverbed Permeabilities: information from pooled data. Ground Water 39(4):546–553
Caterina D, Beaujean J, Robert T, Nguyen F (2013) A comparison study of different image appraisal tools for electrical resistivity tomography. Near Surf Geophys 11(6):639–657
Caterina D, Hermans T, Nguyen F (2014) Case studies of incorporation of prior information in electrical resistivity tomography: comparison of different approaches. Near Surf Geophys 12:451–465
Chen X, Burbach M, Cheng C (2008) Electrical and hydraulic vertical variability in channel sediments and its effects on streamflow depletion due to groundwater extraction. J Hydrol 352(3-4):250–266. 10.1016/j.jhydrol.2008.01.004
Clifford J, Binley A (2010) Geophysical characterization of riverbed hydrostratigraphy using electrical resistance tomography. Near Surf Geophys 8(6):493–501. 10.3997/1873-0604.2010035
Crook N, Binley A, Knight R, Robinson DA, Zarnetske J, Haggerty R (2008) Electrical resistivity imaging of the architecture of substream sediments. 44:1–11. 10.1029/2008WR006968
deGroot-Hedlin C, Constable S (1990) Occam’s inversion to generate smooth, two-dimensional models form magnetotelluric data. Geophysics 55:1613–1624
Doetsch J, Linde N, Coscia I, Greenhalgh SA, Green AG (2010) Zonation for 3D aquifer characterization based on joint inversions of multimethod cross hole geophysical data. Geophysics 75(6):G53–G64
DOV (2016) Databank ondergrond Vlaanderen [Database subsurface of Flanders]. https://dov.vlaanderen.be/. Accessed 1 November 2016
Gelhar LW (1993) Stochastic subsurface hydrology. Prentice-Hall, Old Tappan, NJ
Genereux DP, Leahy S, Mitasova H, Kennedy CD, Corbett DR (2008) Spatial and temporal variability of streambed hydraulic conductivity in West Bear Creek, North Carolina, USA. J Hydrol 358(3–4):332–353. 10.1016/j.jhydrol.2008.06.017
Ghysels G, Benoit S, Awol H, Jensen EP, Tolche AD, Anibas C, Huysmans M (2018) Characterization of meter-scale spatial variability of riverbed hydraulic conductivity in a low-land river (Aa River, Belgium). J Hydrol 559:1013–1027
Gottschalk I, Hermans T, Knight R, Caers J, Cameron D, Regnery J, McCray J (2017) Integrating non-colocated well and geophysical data to capture subsurface heterogeneity at an aquifer recharge and recovery site. J Hydrol 555:407–419
Hermans T, Irving J (2017) Facies discrimination with electrical resistivity tomography using a probabilistic methodology: effect of sensitivity and regularisation. Near Surf Geophys 15:13–25
Kalbus E, Schmidt C, Molson JW, Reinstorf F, Schirmer M (2009) Influence of aquifer and streambed heterogeneity on the distribution of groundwater discharge. Hydrol Earth Syst Sci 13(1):69–77
Kazakis N, Vargemezis G, Voudouris KS (2016) Estimation of hydraulic parameters in a complex porous aquifer system using geoelectrical methods. Sci Total Environ 550:742–750. 10.1016/j.scitotenv.2016.01.133
Kelly WE (1977) Geoelectric sounding for estimation aquifer hydraulic conductivity. Ground Water 15(6):420–425
Landon MK, Rus DL, Harvey FE, Landonj MK, Rusl DL, Harvey FE (2001) Comparison of instream methods for measuring hydraulic conductivity in sandy streambeds. Ground Water 39(6):870–885
Loke MH, Lane JH (2004) Inversion of data from electrical resistivity imaging surveys in water-covered areas. Explor Geophys 35(4):266–271
Loke MH, Acworth I, Dahlin T (2003) A comparison of smooth and blocky inversion methods in 2D electrical imaging surveys. Explor Geophys 34:182–187
McLachlan PJ, Chambers JE, Uhlemann SS, Binley A (2017) Geophysical characterisation of the groundwater–surface water interface. Adv Water Resour 109:302–319. 10.1016/j.advwatres.2017.09.016
Oldenburg DW, Li YG (1999) Estimating depth of investigation in dc resistivity and IP surveys. Geophysics 64(2):403–416
Purvance DT, Andricevic R (2000) On the electrical-hydraulic conductivity correlation in aquifers. Water Resour Res 36:2905–2913
Ramey HJ Jr, Agarwal RG, Martin I (1975) Analysis of “slug test” or DST flow period date. J Can Pet Technol 14:53
Remy N (2004) S-GeMS: the Stanford geostatistical modeling software: a tool for new algorithms development. Quantitat Geol Geostatist 14:865–871
Revil A, Cathles LMI (1999) Permeability of shaly sands. Water Resour Res 35(3):651–662
Schön JH (1996) Physical properties of rocks: fundamentals and principles of petrophysics. In: Handbook of geophysical exploration: seismic exploration, 18. Pergamon, Oxford, UK
Sebok E, Duque C, Engesgaard P, Boegh E (2014) Spatial variability in streambed hydraulic conductivity of contrasting stream morphologies: channel bend and straight channel. Hydrogeol J 25(5):1283–1299. 10.1002/hyp.10170
Slater L (2007) Near surface electrical characterization of hydraulic conductivity: from petrophysical properties to aquifer geometries—a review. Surv Geophys 28(2–3):169–197. 10.1007/s10712-007-9022-y
Slater LD, Lesmes D (2002) IP interpretation in environmental investigations. Geophysics 67(1):77. 10.1190/1.1451353
Spitzer K (1998) The three-dimensional DC sensitivity for surface and subsurface sources. Geophys J Int 134:736–746. 10.1046/j.1365-246x.1998.00592.x
Weller A, Slater L, Binley A, Nordsiek S, Xu S (2015) Permeability prediction based on induced polarization: insights from measurements on sandstone and unconsolidated samples spanning a wide permeability range. Geophysics 80(2):D161–D173. 10.1190/geo2014-0368.1
Waterinfo (2017) Waterinfo Vlaanderen [Water information Flanders]. https://www.waterinfo.be/. Accessed 1 March 2017
Wojnar AJ, Mutiti S, Levy J (2013) Assessment of geophysical surveys as a tool to estimate riverbed hydraulic conductivity. J Hydrol 482:40–56. 10.1016/j.jhydrol.2012.12.018
Yadav GS, Abolfazli H (1998) Geoelectrical soundings and their relationship to hydraulic parameters in semiarid regions of Jalore, northwestern India. J Appl Geophys 39:35–51
