nach oben

Erschienen in:

01.02.2017 | Original Article

Potential of catchment-wide soil water content prediction using electromagnetic induction in a forest ecosystem

verfasst von: Daniel Altdorff, Christian von Hebel, Nils Borchard, Jan van der Kruk, Heye Reemt Bogena, Harry Vereecken, Johan Alexander Huisman

Erschienen in: Environmental Earth Sciences | Ausgabe 3/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Mapping of soil water content (SWC) by electromagnetic induction (EMI) is an established method to obtain field-scale SWC information. However, the relationship between SWC and the apparent electrical conductivity (EC_a) measured with EMI is complex and affected by several confounding factors at the catchment scale such as variable porosity (ϕ) and pore water electrical conductivity (σ _w). In this study, we investigated these confounding factors using a time-lapse EMI data set obtained in a forest ecosystem with soils of low EC_a and catchment-wide SWC data provided by a wireless soil moisture sensor network. To assess the impact of variable ϕ on the accuracy of SWC estimates, we compared three different models to relate SWC and EC_a: (i) a linear regression model and two nonlinear models based on Archie’s equation with (ii) constant ϕ and (iii) variable ϕ. The linear model reached a prediction accuracy of RMSE = 5.83 vol%, while the Archie models increased the accuracy to RMSE = 4.55 vol% (constant ϕ) and RMSE = 4.20 vol% (variable ϕ). Although we found strong spatial similarities between SWC and EC_a maps, the temporal trends in SWC and EC_a were inconsistent. This was attributed to temporal variations in σ _w due to seasonal changes in ion concentrations of the soil pore water. To support this hypothesis, σ _w was calculated from the measured EC_a and the known soil saturation from SoilNet. The resulting σ _w maps showed highly structured and consistent patterns. We thus conclude that in addition to variation in SWC and ϕ, spatiotemporal variations of σ _w affected the EC_a measured with EMI. These potentially confounding factors in the interpretation of EMI measurements in terms of SWC have not been sufficiently recognized in the literature so far, and the results presented in this study indicate a range of limitations for the use of EMI to monitor spatiotemporal changes in SWC at test sites with low EC_a.

Vorheriger Artikel Exploration of groundwater flowpaths and effective recharge in the Amargosa Desert, Nevada, using multivariate statistical analysis and elevation-dependent chloride mass-balance method

Nächster Artikel State of the art of karst vulnerability assessment: overview, evaluation and outlook

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Abdassah D, Permadi P, Sumantri Y, Sumantri R (1998) Saturation exponent at various wetting condition: fractal modeling of thin-sections. J Pet Sci Technol 20(3–4):147–154

Abdu H, Robinson DA, Seyfried M (2008) Geophysical imaging of watershed subsurface patterns and prediction of soil texture and water holding capacity. Wat Resour Res 44:W00D18CrossRef

Altdorff D, Dietrich P (2012) Combination of electromagnetic induction (EMI) and gamma-spectrometry using K-means clustering: a study for evaluation of site partitioning. J Plant Nutr Soil Sci 175:345–354CrossRef

Altdorff D, Dietrich P (2014) Delineation of areas with different temporal behavior of soil properties at a landslide affected Alpine hillside using time-lapse electromagnetic data. Environ Earth Sci 72(5):1357–1366CrossRef

Altdorff D, Bechtold M, van der Kruk J, Vereecken H, Huisman JA (2016) Mapping peat layer properties with multi-coil offset electromagnetic induction and laser scanning elevation data. Geoderma 261:178–189CrossRef

Archie GE (1942) The electrical resistivity log as an aid in determining some reservoir characteristics. Trans Am Inst Min Met Eng 146:54–61

Azar JH, Javaherian A, Pishvaie MR, Nabi-Bidhendi M (2008) An approach to defining tortuosity and cementation factor in carbonate reservoir rocks. J Pet Sci Technol 60(2):125–131

Bogena HR, Herbst M, Huisman JA, Rosenbaum U, Weuthen A, Vereecken H (2010) Potential of wireless sensor networks for measuring soil water content variability. Vadose Zone J 9(4):1002–1013CrossRef

Bogena HR, Huisman JA, Baatz R, Hendricks-Franssen HJ, Vereecken H (2013) Accuracy of the cosmic-ray soil water content probe in humid forest ecosystems: the worst case scenario. Wat Resour Res 49(9):5778–5791CrossRef

Bogena HR, Bol R, Borchard N, Brüggemann N, Diekkrüger B, Drüe C, Groh J, Gottselig N, Huisman SSJ, Lücke A, Missong A, Neuwirth B, Pütz T, Schmidt M, Stockinger M, Tappe W, Weihermüller L, Wiekenkamp I, Vereecken H (2015) A terrestrial observatory approach for the integrated investigation of the effects of deforestation on water energy and matter fluxes. Sci China Earth Sci 58(1):61–75CrossRef

Calamita G, Perrone A, Brocca L, Onorati B, Manfreda S (2015) Field test of a multi-frequency electromagnetic induction sensor for soil moisture monitoring in southern Italy test sites. J Hydrol 529:316–329CrossRef

Cornelissen T, Diekkrüger B, Bogena HR (2014) Significance of scale and lower boundary condition in the 3D simulation of hydrological processes and soil moisture variability in a forested headwater catchment. J Hydrol 516:140–153CrossRef

Corwin DL, Lesch SM (2003) Application of soil electrical conductivity to precision agriculture: theory, principles and guidelines. Agron J 95(3):455–471CrossRef

Corwin DL, Lesch SM (2005) Apparent soil electrical conductivity measurements in agriculture. Comput Electron Agric 46(1–3):11–43CrossRef

Cosh MH, Ochsner TE, McKee L, Dong J, Basara JB, Evett SR, Hatch CE, Small EE, Steele-Dunne SC, Zreda M, Sayde C (2016) The Soil Moisture Active Passive Marena Oklahoma In Situ Sensor Testbed (SMAP-MOISST): testbed design and evaluation of in situ sensors. Vadose Zone J. doi:10.2136/vzj2015.09.0122

Dan J, Gerson R, Kojumdjisky H, Yaalon DH (1981) Aridic soils of Israel, vol 190. The Volcanic Center Special Publications, Bet Dagan, p 354

Doolittle JA, Brevik EC (2014) The use of electromagnetic induction techniques in soil studies. Geoderma 223–225:33–45CrossRef

Ewing RP, Hunt AG (2006) Dependence of the electrical conductivity on saturation in real porous media. Vadose Zone J 5(2):731–741CrossRef

Fang Z, Bogena HR, Kollet S, Koch J, Vereecken H (2015) Spatio-temporal validation of long-term 3D hydrological simulations of a forested catchment using empirical orthogonal functions and wavelet coherence analysis. J Hydrol 529:1754–1767CrossRef

Friedman SP (2005) Soil properties influencing apparent electric conductivity: a review. Comput Electron Agric 46:45–70CrossRef

Garcia GM, Vanderlinden K, Pachepsky Y, Cervera JVG, Perez AJE (2012) Estimating topsoil water content of clay soils with data from time-lapse electrical conductivity surveys. Soil Sci 177(6):369–376CrossRef

GF-Instruments (2011) CMD Electromagnetic conductivity meter user manual V. 1.5, GF Instruments s.r.o. Geophysical Equipment and Services

Gottselig N, Wiekenkamp I, Weihermüller L, Brüggemann N, Berns A, Bogena H, Borchard N, Klumpp E; Luecke A, Missong A, Puetz T, Vereecken H, Huisman S, Bol R (2017) A three dimensional view on soil biogeochemistry: dataset for a forested headwater catchment. J Env Qual. doi:10.2134/jeq2016.07.0276

Grüneberg E, Ziche D, Wellbrock N (2014) Organic carbon stocks and sequestration rates of forest soils in Germany. Glob Change Biol 20:2644–2662CrossRef

Hamada GM, Almajed AA, Okasha TM, Algathe AA (2013) Uncertainty analysis of Archie’s parameters determination techniques in carbonate reservoirs. J Petro Expl Prod Tech 3(1):1–10CrossRef

Heathman GC, Cosh MH, Merwade V, Han E (2012) Multi-scale temporal stability analysis of surface and subsurface soil moisture within the Upper Cedar Creek watershed, Indiana. Catena 95:91–103CrossRef

Huisman JA, Hubbard SS, Redman JD, Annan AP (2003) Measuring soil water content with ground penetrating radar: a review. Vadose Zone J 2:476–491CrossRef

Keller GV, Frischknecht FC (1966) Electrical methods of geophysical prospecting. International Series of Monographs in Electromagnetic Waves Pergamon Press, Oxford

Lavoué F, van der Kruk J, Rings J, Andre F, Moghadas D, Huisman JA, Lambot S, Weihermüller L, Vanderborght J, Vereecken H (2010) Electromagnetic induction calibration using apparent electrical conductivity modelling based on electrical resistivity tomography. Near Surf Geophys 8:553–561CrossRef

Lück E, Gebbers R, Ruehlmann R, Spangenberg U (2009) Electrical conductivity mapping for precision farming. Near Surf Geophys 7(1):15–25

Mabrouk WM, Khalid S, Tawficet MA (2012) An enhancement of the formation factor parameters ‘a’ and ‘m’. Explor Geophys 43(2):87–94

Martini E, Wollschläger U, Kögler S, Behrens T, Dietrich P, Reinstorf F, Schmidt K, Weiler M, Werban U, Zacharias S (2015) Spatial and temporal dynamics of hillslope-scale soil moisture patterns: characteristic states and transition mechanisms. Vadose Zone J. doi:10.2136/vzj2014.10.0150

McNeill J D (1980) Electromagnetic terrain conductivity measurement at low induction numbers. Geonics. Ltd., Technical Note TN-6, Mississauga, Canada

Mester A, van der Kruk J, Zimmermann E, Vereecken H (2011) Quantitative two-layer conductivity inversion of multi-configuration electromagnetic induction measurements. Vadose Zone J 10(4):1319–1330CrossRef

Minsley BJ, Smith BD, Hammack R, Sams JI, Veloski G (2012) Calibration and filtering strategies for frequency domain electromagnetic data. J Appl Geophys 80:56–66CrossRef

Ochsner TEM, Cosh H, Cuenca RH, Dorigo WA, Draper CSS, Hagimoto Y, Kerr YH, Larson KM, Njoku EG, Small EE, Zreda M (2013) State of the art in large-scale soil moisture monitoring. Soil Sci Soc Am J 77(6):1888–1919CrossRef

Pedrera-Parrilla A, Van de Vijver E, Van Meirvenne M, Espejo-Perez AJ, Giraldez JV, Vanderlinden K (2016) Apparent electrical conductivity measurements in an olive orchard under wet and dry soil conditions: significance for clay and soil water content mapping. Precis Agric 17(5):531–545CrossRef

Popp S, Altdorff D, Dietrich P (2012) Assessment of shallow subsurface characterization with non-invasive geophysical methods at the intermediate hill-slope scale. Hydrol Earth Syst Sci 9:2511–2539CrossRef

Reedy RC, Scanlon BR (2003) Soil water content monitoring using electromagnetic induction. J Geotech Geoenviron Eng 129:1028–1039CrossRef

Rhoades JD, Raats PAC, Prather RJ (1976) Effects of liquid-phase electrical-conductivity water-content and surface conductivity on bulk soil electrical-conductivity. Soil Sci Soc Am J 40(5):651–655CrossRef

Richter F (2008) Bodenkarte zur Standorterkundung. Verfahren Quellgebiet Wuestebachtal (Forst), Geologischer Dienst Nordrhein-Westfalen, Krefeld, Germany

Robinson D, Jones SB, Wraith J, Or D, Friedman S (2003) A review of advances in dielectric and electrical conductivity measurement in soils using time domain reflectometry. Vadose Zone J 2:444–475CrossRef

Robinson DA, Campbell CS, Hopmans JW, Hornbuckle BK, Jones SB, Knight R, Ogden F, Selker J, Wendroth O (2008) Soil moisture measurement for ecological and hydrological watershed-scale observatories: a review. Vadose Zone J 7(1):358–389CrossRef

Robinson DA, Lebron I, Kocar B, Phan K, Sampson M, Crook N, Fendorf S (2009) Time-lapse geophysical imaging of soil moisture dynamics in tropical deltaic soils: an aid to interpreting hydrological and geochemical processes. Wat Resour Res 45:W00D32CrossRef

Robinson DA, Abdu H, Lebron I, Jones SB (2012) Imaging of hill-slope soil moisture wetting patterns in a semi-arid oak savanna catchment using time-lapse electromagnetic induction. J Hydrol 419–417:39–49CrossRef

Rosenbaum U, Huisman JA, Weuthen A, Vereecken H, Bogena HR (2010) Sensor-to-sensor variability of the ECH2O EC-5, TE, and 5TE sensors in dielectric liquids. Vadose Zone J 9(1):181–186CrossRef

Rosenbaum U, Bogena HR, Herbst M, Huisman JA, Peterson TJ, Weuthen A, Western AW, Vereecken H (2012) Seasonal and event dynamics of spatial soil moisture patterns at the small catchment scale. Wat Resour Res 48:W10544CrossRef

Samouelian A, Cousin I, Tabbagh A, Bruand A, Richard G (2005) Electrical resistivity survey in soil science: a review. Soil Tillage Res 83(2):173–193CrossRef

Santos RNS, Porsani JL (2011) Comparing performance of instrumental drift correction by linear and quadratic adjusting in inductive electromagnetic data. J Appl Geophys 73:1–7CrossRef

Sauer D, Popp S, Dittfurth A, Altdorff D, Dietrich P, Paasche H (2013) Soil moisture assessment over an Alpine hillslope with significant soil heterogeneity. Vadose Zone J. doi:10.2136/vzj2013.01.0009

Scheffer F, Schachtschabel P (1998) Lehrbuch der Bodenkunde. Spektrum Akademischer Verlag 14, Heidelberg Berlin

Schroeter I, Paasche H, Dietrich P, Wollschläger U (2015) Estimation of catchment-scale soil moisture patterns based on terrain data and sparse TDR measurements using a fuzzy C-means clustering approach. Vadose Zone J. doi:10.2136/vzj2015.01.0008

Serrano JM, Shahidian S, da Silva JRM (2013) Apparent electrical conductivity in dry versus wet soil conditions in a shallow soil. Precis Agric 14(1):99–114CrossRef

Sheets KR, Hendrickx JMH (1995) Noninvasive soil water content measurement using electromagnetic induction. Wat Resour Res 31:2401–2409CrossRef

Succow M, Joosten H (2000) Landschaftsökologische Moorkunde. Schweizerbart Stuttgart ISBN 978-3-510-65198-6

Sudduth KA, Drummond ST, Kitchen NR (2001) Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture. Comput Electron Agric 31:239–264CrossRef

Topp GC, Davis JL, Annan AP (1980) Electromagnetic determination of soil water content: measurements in coaxial transmission lines. Wat Resour Res 16(3):574–582CrossRef

Vereecken H, Huisman JA, Pachepsky Y, Montzka C, van der Kruk J, Bogena H, Weihermüller L, Herbst M, Martinez G, Vanderborght J (2014) On the spatio-temporal dynamics of soil moisture at the field scale. J Hydrol 516:76–96CrossRef

Von Hebel C, Rudolf S, Mester A, Huisman JA, Kumbhar P, Vereecken H, van der Kruk J (2014) Three-dimensional imaging of subsurface structural patterns using quantitative large-scale multi-configuration electromagnetic induction data. Wat Resour Res 50(3):2732–2748CrossRef

Wiekenkamp I, Huisman JA, Bogena HR, Lin HS, Vereecken H (2016) Spatial and temporal occurrence of preferential flow in a forested headwater catchment. J Hydrol 534:139–149CrossRef

Yue WZ, Tao G (2013) A new non-Archie model for pore structure: numerical experiments using digital rock models. Geophys J Int 195(1):282–291CrossRef

Zacharias S, Bogena H, Samaniego L, Mauder M, Fuß R, Pütz T, Frenzel M, Schwank M, Baessler C, Butterbach-Bahl K, Bens O, Borg E, Brauer A, Dietrich P, Hajnsek I, Helle G, Kiese R, Kunstmann H, Klotz S, Munch JC, Papen H, Priesack E, Schmid HP, Steinbrecher R, Rosenbaum U, Teutsch G, Vereecken H (2011) A network of terrestrial environmental observatories in Germany. Vadose Zone J 10(3):955–973CrossRef

Zhu Q, Lin H, Doolittle HJ (2010) Repeated electromagnetic induction surveys for determining subsurface hydrologic dynamics in an agricultural landscape. Soil Sci Am J 74(5):1750–1762CrossRef

Zilberbrand M (1995) The effect of carbonates and gypsum precipitation in the root zone on the chemical composition of groundwater. J Hydrol 171:5–22CrossRef

Titel: Potential of catchment-wide soil water content prediction using electromagnetic induction in a forest ecosystem
verfasst von: Daniel Altdorff
Christian von Hebel
Nils Borchard
Jan van der Kruk
Heye Reemt Bogena
Harry Vereecken
Johan Alexander Huisman
Publikationsdatum: 01.02.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Environmental Earth Sciences / Ausgabe 3/2017
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-016-6361-3

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 3/2017

Earth observation-based approach for delineating geomorphology-guided geoenvironmental zones and its utility in regional planning: an analysis in parts of Bengal Basin, West Bengal, India

Hydrochemical assessment of Hydrological Environmental Services in the recharge area in the Southwest of Mexico City

Evaluation of fluidized bed asbestos segregator to determine erionite in soil

Full dynamic process simulation of landslides using a combination of limit analysis and Savage–Hutter model

A review of conventional techniques for subsurface characterization of landslides

Competence-based and game-based capacity development for sustainable water management in Germany