Modelling rapid flow response of a tile-drained field site using a 2D physically based model: assessment of ‘equifinal’ model setups
Corresponding Author
Julian Klaus
Institute of Water and Environment, Technische Universität München, Arcisstrasse 21, 80333 Munich, Germany
Institute of Water and Environment, Technische Universität München, Arcisstrasse 21, 80333 Munich, Germany.===Search for more papers by this authorErwin Zehe
Institute of Water and Environment, Technische Universität München, Arcisstrasse 21, 80333 Munich, Germany
Search for more papers by this authorCorresponding Author
Julian Klaus
Institute of Water and Environment, Technische Universität München, Arcisstrasse 21, 80333 Munich, Germany
Institute of Water and Environment, Technische Universität München, Arcisstrasse 21, 80333 Munich, Germany.===Search for more papers by this authorErwin Zehe
Institute of Water and Environment, Technische Universität München, Arcisstrasse 21, 80333 Munich, Germany
Search for more papers by this authorAbstract
Rapid flow in connected preferential flow paths is crucial for fast transport of water and solutes through soils, especially at tile-drained field sites. In the present study, we propose a spatially explicit approach to represent worm burrows as connected structures of realistic geometry, high conductivity and low retention capacity in a two-dimensional physically based model. We show that this approach allows successful prediction of a tile-drain discharge and preferential flow patterns in soil observed during the irrigation of a tile-drained hillslope in the Weiherbach catchment. However, we found a considerable equifinality in the spatial setup of the model when key parameters such as the area density of worm burrows, the maximum volumetric water flows inside these macropores and the conductivity of the tile drain were varied within the ranges of either our measurements or measurements reported in the literature. In total, we found that 67 out of 432 model runs were acceptable [Nash–Sutcliffe (NS) ≥ 0·75]. Among these, the 13 best yielded a NS coefficient of more than 0·9, which means that more than 90% of the flow variability is explained by the model. Also, the flow volumes were in good accordance and timing errors were less than or equal to 20 min. It is suggested that this uncertainty/equifinality could be reduced when more precise data on initial states of the subsurface and on the width of the control volume draining into a single drainage tube could be made available. However, such data are currently most difficult to assess even at very well investigated sites such as those studied here. We thus suggest that non-uniqueness of the spatial setup of process-based model seems to be an important factor causing predictive uncertainty at many sites where preferential flow dominates system response. Copyright © 2010 John Wiley & Sons, Ltd.
REFERENCES
- Bárdossy A. 2007. Calibration of hydrological model parameters for ungauged catchments. Hydrology Earth System Science 11: 703–710.
- Beven KJ. 1993. Prophecy, reality and uncertainty in distributed hydrological modelling. Advances in Water Resources 16: 41–51.
- Beven KJ. 1996. Equifinality and uncertainty in geomorphological modelling. In The Scientific Nature of Geomorphology, BL Rhoads, CE Thorn (eds). Wiley: Chichester; 289–313.
- Beven KJ. 2001a. How far can we go in distributed hydrological modelling?. Hydrology Earth System Science 5(1): 1–12.
- Beven KJ. 2001b. On hypothesis testing in hydrology. Hydrological Processes 15: 1655–1657.
- Beven KJ. 2002. Towards an alternative blueprint for a physically-based digitally simulated hydrologic response modelling system. Hydrological Processes 16(2): 189–206.
- Beven KJ. 2006. A manifesto for the equifinality thesis. Journal of Hydrology 320(1–2): 18–36. DOI: 10.1016/j.jhydrol.2005.07.007.
- Beven KJ, Clarke RT. 1986. On the variation of infiltration into a homogeneous soil matrix containing a population of macropores. Water Resources Research 22(3): 383–388.
- Beven KJ, Freer J. 2001. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems. Journal of Hydrology 249: 11–29. DOI: 10.1016/S0022-1694(01)00421-8.
- Binley A, Beven KJ. 2003. Vadose zone model uncertainty as conditioned on geophysical data. Ground Water 41(2): 119–127.
- Blöschl G, Zehe E. 2005. On hydrological predictability. Hydrological Processes 19(19): 3923–3929. DOI: 10.1002/hyp.6075.
- Celia MA, Bouloutas ET, Zarba RL. 1990. A general mass-conservative numerical solution for the unsaturated flow equation. Water Resources Research 26(7): 1483–1496.
- De Lannoy GJM, Verhoest NEC, Houser PR, Gish TJ, van Meirvenne M. 2006. Spatial and temporal characteristics of soil moisture in an intensively monitored agricultural field (OPE3). Journal of Hydrology 331(3–4): 719–730. DOI: 10.1016/j.jhydrol.2006.06.016.
- Dooge JCI. 1986. Looking for hydrologic laws. Water Resources Research 22(9S): 46–58.
- Flury M. 1996. Experimental evidence of pesticide transport through field soils—a review. Journal of Environmental Quality 25: 25–45.
- Freer J, Beven KJ, Ambroise B. 1996. Bayesian estimation of uncertainty in runoff prediction and the value of data: an application of the GLUE approach. Water Resources Research 32(7): 2161–2174.
- Gerke HH, Dusek J, Vogel T, Köhne JM. 2007. Two-dimensional dual-permeability analyses of a bromide tracer experiment on a tile-drained field. Vadose Zone Journal 6: 651–667. DOI: 10.2136/vzj2007.0033.
- Gerke HH, van Genuchten MT. 1993. A dual-porosity model for simulating the preferential movement of water and solutes in structured porous media. Water Resources Research 29(2): 305–319.
- Jarvis N. 2009. Near-saturated hydraulic properties of macroporous soils. Vadose Zone Journal 7: 1302–1310. DOI: 10.2136/vzj2008.0065.
- Kladivko EJ, Brown LC, Baker JL. 2001. Pesticide transport to subsurface tile drains in humid regions of North America. Critical Reviews in Environmental Science and Technology 31(1): 1–61.
- Kladivko EJ, Van Scoyoc GE, Monke EJ, Oates KM, Pask W. 1991. Pesticide and nutrient movement into subsurface tile drains on a silt loam soil in Indiana. Journal of Environmental Quality 20: 264–270.
- Klaus J, Kuells C, Dahan O. 2008. Evaluating the recharge mechanism of the Lower Kuiseb Dune area using mixing cell modeling and residence time data. Journal of Hydrology 358: 304–316. DOI: 10.1016/j.jhydrol.2008.06.012.
- Köhne S, Lennartz B, Köhne JM, Šimůnek J. 2006. Bromide transport at a tile-drained field site: experiment, and one- and two-dimensional equilibrium and non-equilibrium numerical modelling. Journal of Hydrology 321(1–4): 390–408. DOI: 10.1016/j.jhydrol.2005.08.010.
- Larsbo M, Jarvis N. 2006. Information content of measurements from tracer microlysimeter experiments designed for parameter identification in dual-permeability models. Journal of Hydrology 325(1–4): 273–287. DOI: 10.1016/j.jhydrol.2005.10.020.
- Lennartz B, Michaelsen J, Wichtmann W, Widmoser P. 1999. Time variance analysis of preferential solute movement at a tile drained field site. Soil Science Society America Journal 63: 39–47.
- Maurer T. 1997. Physikalisch begründete, zeitkontinuierliche Modellierung des Wassertransports in kleinen ländlichen Einzugsgebieten. PhD thesis, University of Karlsruhe, Germany. Mitteilungen Inst. f. Hydrologie u. Wasserwirtschaft, 61.
- McIntyre NR, Wheater HS. 2004. Calibration of an in-river phosphorus model: prior evaluation of data needs and model uncertainty. Journal of Hydrology 290: 100–116. DOI: 10.1016/j.jhydrol.2003.12.003.
- Mohanty BP, Bowman RS, Hendrickx JMH, Šimůnek J, van Genuchten MT. 1998. Preferential transport of nitrate to a tile drain in an intermittent-flood-irrigated field: model development and experimental evaluation. Water Resources Research 34(5): 1061–1076.
- Mualem Y. 1976. A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resources Research 12(3): 513–522.
- Nash JE, Sutcliffe JV. 1970. River flow forecasting through conceptual models. Part I: a discussion of principles. Journal of Hydrology 10(3): 282–290. DOI: 10.1016/0022-1694(70)90255-6.
10.1016/0022-1694(70)90255-6 Google Scholar
- Page T, Beven KJ, Freer J, Neal C. 2007. Modelling the chloride signal at Plynlimon, Wales, using a modified dynamic TOPMODEL incorporating conservative chemical mixing (with uncertainty). Hydrological Processes 21(3): 292–307. DOI: 10.1002/hyp.6062.
- Penna D, Borga M, Norbiato D, Dalla Fontana G. 2009. Hillslope scale soil moisture variability in a steep alpine terrain. Journal of Hydrology 364(3–4): 311–327. DOI: 10.1016/j.jhydrol.2008.11.009.
- Schaefer D. 1999. Bodenhydraulische Eigenschaften eines Kleinein- zugsgebiets—Vergleich und Bewertung unterschiedlicher Verfahren. PhD thesis, University of Kar1sruhe, Germany. Dissertationenreihe Inst. f. Hydromechanik, 1999/l.
- Schilling E, Helmers M. 2008. Effects of subsurface drainage tiles on streamflow in Iowa agricultural watersheds: exploratory hydrograph analysis. Hydrological Processes 22: 4497–4506. DOI: 10.1002/hyp.7052.
- Schulz K, Beven KJ, Huwe B. 1999. Equifinality and the problem of robust calibration in nitrogen budget simulations. Soil Science Society America Journal 63: 1934–1941.
- Shipitalo MJ, Butt KR. 1999. Occupancy and geometrical properties of Lumbricus terrestris L. burrows affecting infiltration. Pedobiologia 43: 782–794.
- Šimůnek J, Jarvis NJ, Van Genuchten MT, Gärdenäs A. 2003. Nonequilibrium and preferential flow and transport in the vadose zone: review and case study. Journal of Hydrology 272: 14–35. DOI: 10.1016/S0022-1694(02)00252-4.
- Stamm C, Flühler H, Gächter R, Leuenberger J, Wunderli H. 1998. Preferential transport of phosphorus in drained grassland soils. Journal of Environmental Quality 27: 515–522.
- Stamm C, Sermet R, Leuenberger J, Wunderli H, Wydler H, Flühler H, Gehre M. 2002. Multiple tracing of fast transport in a drained grassland soil. Geoderma 109: 245–268.
- van Genuchten MT. 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society America Journal 44: 892–898.
- Villholth KG, Jensen KH, Fredericia J. 1998. Flow and transport processes in a macroporous subsurface-drained glacial till soil. I: field investigations. Journal of Hydrology 207(1–2): 98–120. DOI: 10.1016/S0022-1694(98)00129-2.
- Vogel HJ, Cousin I, Ippisch O, Bastian P. 2006. The dominant role of structure for solute transport in soil: experimental evidence and modelling of structure and transport in a field experiment. Hydrology Earth System Science 10: 495–506.
- Weiler M. 2001. Mechanisms controlling macropore flow during infiltration. PhD thesis. Technischen Wissenschaften ETH Zürich Nr. 14237. DOI:10.3929/ethz-a-004180115.
- Weiler M, McDonnell JJ. 2007. Conceptualizing lateral preferential flow and flow networks and simulating the effects on gauged and ungauged hillslopes. Water Resources Research 43: W03403. DOI: 10.1029/2006WR004867.
- Weiler M, Naef F. 2003. An experimental tracer study of the role of macropores in infiltration in grassland soils. Hydrological Processes 17(2): 477–493. DOI: 10.1002/hyp.1136.
- Western AW, Blöschl G, Grayson RB. 1998. Geostatistical characterisation of soil moisture patterns in the Tarrawarra catchment. Journal of Hydrology 205(1–2): 20–37. DOI: 10.1016/S0022-1694(97)00142-X.
- Western AW, Grayson RB. 1998. The Tarrawarra data set: soil moisture patterns, soil characteristics, and hydrological flux measurements. Water Resources Research 34(10): 2765–2768.
- Zak S, Beven KJ. 1999. Equifinality, sensitivity and uncertainty in the estimation of critical loads. Science of the Total Environment 236: 191–214.
- Zehe E, Becker R, Bardossy A, Plate E. 2005. Uncertainty of simulated catchment sale runoff response in the presence of threshold processes: role of initial soil moisture and precipitation. Journal of Hydrology 315(1–4): 183–202. DOI: 10.1016/j.jhydrol.2005.03.038.
- Zehe E, Blöschl G. 2004. Predictability of hydrologic response at the plot and catchment scales: role of initial conditions. Water Resources Research 40: W10202. DOI: 10.1029/2003WR002869.
- Zehe E, Elsenbeer H, Lindenmaier F, Schulz K, Blöschl G. 2007. Patterns of predictability in hydrological threshold systems. Water Resources Research 43: W07434. DOI: 10.1029/2006WR005589.
- Zehe E, Lee H, Sivapalan M. 2006. Dynamical process upscaling for deriving catchment scale state measures and constitutive relations for meso-scale process models. Hydrology and Earth System Sciences 10: 981–996.
- Zehe E, Flühler H. 2001. Preferential transport of Isoproturon at a plot scale and a field scale tile-drained site. Journal of Hydrology 247(1–2): 100–115. DOI: 10.1016/S0022-1694(01)00370-5.
- Zehe E, Maurer T, Ihringer J, Plate E. 2001. Modelling water flow and mass transport in a Loess catchment. Physics and Chemistry of the Earth, Part B 26(7–8): 487–507.
- Zehe E, Blume T, Blöschl G 2010. The principle of ‘maximum energy dissipation’: a novel thermodynamic perspective on rapid water flow in connected soil structures. Philosophical Transactions of the Royal Society B 365: 1377–1386.
- Zhang D, Beven E, Mermoud A. 2006. A comparison of non-linear least square and GLUE for model calibration and uncertainty estimation for pesticide transport in soils. Advances in Water Resources 29(12): 1924–1933. DOI: 10.1016/j.advwatres.2006.02.004.