Articles | Volume 14, issue 2
https://doi.org/10.5194/hess-14-251-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-14-251-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
09 Feb 2010
Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity
G. Baroni
Dipartimento di Ingegneria Agraria, Università degli Studi di Milano, Italy
A. Facchi
Dipartimento di Ingegneria Agraria, Università degli Studi di Milano, Italy
C. Gandolfi
Dipartimento di Ingegneria Agraria, Università degli Studi di Milano, Italy
B. Ortuani
Dipartimento di Ingegneria Agraria, Università degli Studi di Milano, Italy
D. Horeschi
Dipartimento di Ingegneria Idraulica, Ambientale, delle Infrastrutture Viarie e del Rilevamento, Politecnico di Milano, Italy
J. C. van Dam
Department of Environmental Sciences, Wageningen University, The Netherlands
Related subject area
Subject: Hillslope hydrology | Techniques and Approaches: Theory development
Young and new water fractions in soil and hillslope waters
Energy efficiency in transient surface runoff and sediment fluxes on hillslopes – a concept to quantify the effectiveness of extreme events
Morphological controls on surface runoff: an interpretation of steady-state energy patterns, maximum power states and dissipation regimes within a thermodynamic framework
Soil moisture: variable in space but redundant in time
A history of the concept of time of concentration
Are dissolved organic carbon concentrations in riparian groundwater linked to hydrological pathways in the boreal forest?
The influence of diurnal snowmelt and transpiration on hillslope throughflow and stream response
Slope–velocity equilibrium and evolution of surface roughness on a stony hillslope
Assessment of land use impact on hydraulic threshold conditions for gully head cut initiation
Technical note: Inference in hydrology from entropy balance considerations
Ecohydrological effects of stream–aquifer water interaction: a case study of the Heihe River basin, northwestern China
Hillslope-scale experiment demonstrates the role of convergence during two-step saturation
Impacts of climate variability on wetland salinization in the North American prairies
Resolving structural errors in a spatially distributed hydrologic model using ensemble Kalman filter state updates
Runoff formation from experimental plot, field, to small catchment scales in agricultural North Huaihe River Plain, China
Addressing secondary school students' everyday ideas about freshwater springs in order to develop an instructional tool to promote conceptual reconstruction
Hydrological heterogeneity in Mediterranean reclaimed slopes: runoff and sediment yield at the patch and slope scales along a gradient of overland flow
Effect of hydraulic parameters on sediment transport capacity in overland flow over erodible beds
Large-scale runoff generation – parsimonious parameterisation using high-resolution topography
Estimating surface fluxes over middle and upper streams of the Heihe River Basin with ASTER imagery
Seasonal evaluation of the land surface scheme HTESSEL against remote sensing derived energy fluxes of the Transdanubian region in Hungary
Analysis of surface soil moisture patterns in agricultural landscapes using Empirical Orthogonal Functions
Modelling field scale water partitioning using on-site observations in sub-Saharan rainfed agriculture
Evaluation of alternative formulae for calculation of surface temperature in snowmelt models using frequency analysis of temperature observations
Growth of a high-elevation large inland lake, associated with climate change and permafrost degradation in Tibet
Selection of an appropriately simple storm runoff model
Spatial mapping of leaf area index using hyperspectral remote sensing for hydrological applications with a particular focus on canopy interception
Use of satellite-derived data for characterization of snow cover and simulation of snowmelt runoff through a distributed physically based model of runoff generation
A contribution to understanding the turbidity behaviour in an Amazon floodplain
Global spatial optimization with hydrological systems simulation: application to land-use allocation and peak runoff minimization
Implementing small scale processes at the soil-plant interface – the role of root architectures for calculating root water uptake profiles
Modelling the inorganic nitrogen behaviour in a small Mediterranean forested catchment, Fuirosos (Catalonia)
Soil bioengineering for risk mitigation and environmental restoration in a humid tropical area
Climate and terrain factors explaining streamflow response and recession in Australian catchments
Soil moisture active and passive microwave products: intercomparison and evaluation over a Sahelian site
Characteristics of 2-D convective structures in Catalonia (NE Spain): an analysis using radar data and GIS
The contribution of groundwater discharge to the overall water budget of two typical Boreal lakes in Alberta/Canada estimated from a radon mass balance
Actual daily evapotranspiration estimated from MERIS and AATSR data over the Chinese Loess Plateau
Calibration analysis for water storage variability of the global hydrological model WGHM
Earth's Critical Zone and hydropedology: concepts, characteristics, and advances
Reducing scale dependence in TOPMODEL using a dimensionless topographic index
Spatial variation in soil active-layer geochemistry across hydrologic margins in polar desert ecosystems
Nitrogen retention in natural Mediterranean wetland-streams affected by agricultural runoff
Recent trends in groundwater levels in a highly seasonal hydrological system: the Ganges-Brahmaputra-Meghna Delta
Water availability, demand and reliability of in situ water harvesting in smallholder rain-fed agriculture in the Thukela River Basin, South Africa
Variability of the groundwater sulfate concentration in fractured rock slopes: a tool to identify active unstable areas
Copula based multisite model for daily precipitation simulation
Solid phase evolution in the Biosphere 2 hillslope experiment as predicted by modeling of hydrologic and geochemical fluxes
Deriving a global river network map and its sub-grid topographic characteristics from a fine-resolution flow direction map
Surface water acidification and critical loads: exploring the F-factor
Marius G. Floriancic, Scott T. Allen, and James W. Kirchner
EGUsphere, https://doi.org/10.5194/egusphere-2024-437, https://doi.org/10.5194/egusphere-2024-437, 2024
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We use a 3-year timeseries of tracer data in streamflow and soils to illustrate how water moves through the subsurface to become streamflow. Less than 50% of soil water consists of rainfall from the last 3 weeks. Most annual streamflow is older than 3 months, waters in deep subsurface layers are even older, thus deep layers are not the only source of streamflow. After wet periods more rainfall was found in the subsurface and the stream, suggesting that water moves quicker through wet landscapes.
Samuel Schroers, Ulrike Scherer, and Erwin Zehe
Hydrol. Earth Syst. Sci., 27, 2535–2557, https://doi.org/10.5194/hess-27-2535-2023, https://doi.org/10.5194/hess-27-2535-2023, 2023
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The hydrological cycle shapes our landscape. With an accelerating change of the world's climate and hydrological dynamics, concepts of evolution of natural systems become more important. In this study, we elaborated a thermodynamic framework for runoff and sediment transport and show from model results as well as from measurements during extreme events that the developed concept is useful for understanding the evolution of the system's mass, energy, and entropy fluxes.
Samuel Schroers, Olivier Eiff, Axel Kleidon, Ulrike Scherer, Jan Wienhöfer, and Erwin Zehe
Hydrol. Earth Syst. Sci., 26, 3125–3150, https://doi.org/10.5194/hess-26-3125-2022, https://doi.org/10.5194/hess-26-3125-2022, 2022
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In hydrology the formation of landform patterns is of special interest as changing forcings of the natural systems, such as climate or land use, will change these structures. In our study we developed a thermodynamic framework for surface runoff on hillslopes and highlight the differences of energy conversion patterns on two related spatial and temporal scales. The results indicate that surface runoff on hillslopes approaches a maximum power state.
Mirko Mälicke, Sibylle K. Hassler, Theresa Blume, Markus Weiler, and Erwin Zehe
Hydrol. Earth Syst. Sci., 24, 2633–2653, https://doi.org/10.5194/hess-24-2633-2020, https://doi.org/10.5194/hess-24-2633-2020, 2020
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We could show that distributed soil moisture time series bear a considerable amount of information about dynamic changes in soil moisture. We developed a new method to describe spatial patterns and analyze their persistency. By combining uncertainty propagation with information theory, we were able to calculate the information content of spatial similarity with respect to measurement uncertainty. This does help to understand when and why the soil is drying in an organized manner.
Keith J. Beven
Hydrol. Earth Syst. Sci., 24, 2655–2670, https://doi.org/10.5194/hess-24-2655-2020, https://doi.org/10.5194/hess-24-2655-2020, 2020
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The concept of time of concentration in the analysis of catchment responses dates back over 150 years. It is normally discussed in terms of the velocity of flow of a water particle from the furthest part of a catchment to the outlet. This is also the basis for the definition in the International Glossary of Hydrology, but this is in conflict with the way in which it is commonly used. This paper provides a clarification of the concept and its correct useage.
Stefan W. Ploum, Hjalmar Laudon, Andrés Peralta-Tapia, and Lenka Kuglerová
Hydrol. Earth Syst. Sci., 24, 1709–1720, https://doi.org/10.5194/hess-24-1709-2020, https://doi.org/10.5194/hess-24-1709-2020, 2020
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Near-stream areas, or riparian zones, are important for the health of streams and rivers. If these areas are disturbed by forestry or other anthropogenic activity, the water quality and all life in streams may be at risk. We examined which riparian areas are particularly sensitive. We found that only a few wet areas bring most of the rainwater from the landscape to the stream, and they have a unique water quality. In order to maintain healthy streams and rivers, these areas should be protected.
Brett Woelber, Marco P. Maneta, Joel Harper, Kelsey G. Jencso, W. Payton Gardner, Andrew C. Wilcox, and Ignacio López-Moreno
Hydrol. Earth Syst. Sci., 22, 4295–4310, https://doi.org/10.5194/hess-22-4295-2018, https://doi.org/10.5194/hess-22-4295-2018, 2018
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The hydrology of high-elevation headwaters in midlatitudes is typically dominated by snow processes, which are very sensitive to changes in energy inputs at the top of the snowpack. We present a data analyses that reveal how snowmelt and transpiration waves induced by the diurnal solar cycle generate water pressure fluctuations that propagate through the snowpack–hillslope–stream system. Changes in diurnal energy inputs alter these pressure cycles with potential ecohydrological consequences.
Mark A. Nearing, Viktor O. Polyakov, Mary H. Nichols, Mariano Hernandez, Li Li, Ying Zhao, and Gerardo Armendariz
Hydrol. Earth Syst. Sci., 21, 3221–3229, https://doi.org/10.5194/hess-21-3221-2017, https://doi.org/10.5194/hess-21-3221-2017, 2017
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This study presents novel scientific understanding about the way that hillslope surfaces form when exposed to rainfall erosion, and the way those surfaces interact with and influence runoff velocities during rain events. The data show that hillslope surfaces form such that flow velocities are independent of slope gradient and dependent on flow rates alone. This result represents a shift in thinking about surface water runoff.
Aliakbar Nazari Samani, Qiuwen Chen, Shahram Khalighi, Robert James Wasson, and Mohammad Reza Rahdari
Hydrol. Earth Syst. Sci., 20, 3005–3012, https://doi.org/10.5194/hess-20-3005-2016, https://doi.org/10.5194/hess-20-3005-2016, 2016
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We hypothesized that land use had important effects on hydraulic threshold conditions for gully head cut initiation. We investigated the effects using an experimental plot. The results indicated that the use of a threshold value of τcr = 35 dyne cm−2 and ωu = 0.4 Cm S−1 in physically based soil erosion models is susceptible to high uncertainty when assessing gully erosion.
Stefan J. Kollet
Hydrol. Earth Syst. Sci., 20, 2801–2809, https://doi.org/10.5194/hess-20-2801-2016, https://doi.org/10.5194/hess-20-2801-2016, 2016
Yujin Zeng, Zhenghui Xie, Yan Yu, Shuang Liu, Linying Wang, Binghao Jia, Peihua Qin, and Yaning Chen
Hydrol. Earth Syst. Sci., 20, 2333–2352, https://doi.org/10.5194/hess-20-2333-2016, https://doi.org/10.5194/hess-20-2333-2016, 2016
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In arid areas, stream–aquifer water exchange essentially sustains the growth and subsistence of riparian ecosystem. To quantify this effect for intensity and range, a stream–riverbank scheme was incorporated into a state-of-the-art land model, and some runs were set up over Heihe River basin, northwestern China. The results show that the hydrology circle is significantly changed, and the ecological system is benefitted greatly by the river water lateral transfer within a 1 km range to the stream.
A. I. Gevaert, A. J. Teuling, R. Uijlenhoet, S. B. DeLong, T. E. Huxman, L. A. Pangle, D. D. Breshears, J. Chorover, J. D. Pelletier, S. R. Saleska, X. Zeng, and P. A. Troch
Hydrol. Earth Syst. Sci., 18, 3681–3692, https://doi.org/10.5194/hess-18-3681-2014, https://doi.org/10.5194/hess-18-3681-2014, 2014
U. Nachshon, A. Ireson, G. van der Kamp, S. R. Davies, and H. S. Wheater
Hydrol. Earth Syst. Sci., 18, 1251–1263, https://doi.org/10.5194/hess-18-1251-2014, https://doi.org/10.5194/hess-18-1251-2014, 2014
J. H. Spaaks and W. Bouten
Hydrol. Earth Syst. Sci., 17, 3455–3472, https://doi.org/10.5194/hess-17-3455-2013, https://doi.org/10.5194/hess-17-3455-2013, 2013
S. Han, D. Xu, and S. Wang
Hydrol. Earth Syst. Sci., 16, 3115–3125, https://doi.org/10.5194/hess-16-3115-2012, https://doi.org/10.5194/hess-16-3115-2012, 2012
S. Reinfried, S. Tempelmann, and U. Aeschbacher
Hydrol. Earth Syst. Sci., 16, 1365–1377, https://doi.org/10.5194/hess-16-1365-2012, https://doi.org/10.5194/hess-16-1365-2012, 2012
L. Merino-Martín, M. Moreno-de las Heras, S. Pérez-Domingo, T. Espigares, and J. M. Nicolau
Hydrol. Earth Syst. Sci., 16, 1305–1320, https://doi.org/10.5194/hess-16-1305-2012, https://doi.org/10.5194/hess-16-1305-2012, 2012
M. Ali, G. Sterk, M. Seeger, M. Boersema, and P. Peters
Hydrol. Earth Syst. Sci., 16, 591–601, https://doi.org/10.5194/hess-16-591-2012, https://doi.org/10.5194/hess-16-591-2012, 2012
L. Gong, S. Halldin, and C.-Y. Xu
Hydrol. Earth Syst. Sci., 15, 2481–2494, https://doi.org/10.5194/hess-15-2481-2011, https://doi.org/10.5194/hess-15-2481-2011, 2011
W. Ma, Y. Ma, Z. Hu, Z. Su, J. Wang, and H. Ishikawa
Hydrol. Earth Syst. Sci., 15, 1403–1413, https://doi.org/10.5194/hess-15-1403-2011, https://doi.org/10.5194/hess-15-1403-2011, 2011
E. L. Wipfler, K. Metselaar, J. C. van Dam, R. A. Feddes, E. van Meijgaard, L. H. van Ulft, B. van den Hurk, S. J. Zwart, and W. G. M. Bastiaanssen
Hydrol. Earth Syst. Sci., 15, 1257–1271, https://doi.org/10.5194/hess-15-1257-2011, https://doi.org/10.5194/hess-15-1257-2011, 2011
W. Korres, C. N. Koyama, P. Fiener, and K. Schneider
Hydrol. Earth Syst. Sci., 14, 751–764, https://doi.org/10.5194/hess-14-751-2010, https://doi.org/10.5194/hess-14-751-2010, 2010
H. Makurira, H. H. G. Savenije, and S. Uhlenbrook
Hydrol. Earth Syst. Sci., 14, 627–638, https://doi.org/10.5194/hess-14-627-2010, https://doi.org/10.5194/hess-14-627-2010, 2010
C. H. Luce and D. G. Tarboton
Hydrol. Earth Syst. Sci., 14, 535–543, https://doi.org/10.5194/hess-14-535-2010, https://doi.org/10.5194/hess-14-535-2010, 2010
J. Liu, S. Kang, T. Gong, and A. Lu
Hydrol. Earth Syst. Sci., 14, 481–489, https://doi.org/10.5194/hess-14-481-2010, https://doi.org/10.5194/hess-14-481-2010, 2010
A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 14, 447–458, https://doi.org/10.5194/hess-14-447-2010, https://doi.org/10.5194/hess-14-447-2010, 2010
H. H. Bulcock and G. P. W. Jewitt
Hydrol. Earth Syst. Sci., 14, 383–392, https://doi.org/10.5194/hess-14-383-2010, https://doi.org/10.5194/hess-14-383-2010, 2010
L. S. Kuchment, P. Romanov, A. N. Gelfan, and V. N. Demidov
Hydrol. Earth Syst. Sci., 14, 339–350, https://doi.org/10.5194/hess-14-339-2010, https://doi.org/10.5194/hess-14-339-2010, 2010
E. Alcântara, E. Novo, J. Stech, J. Lorenzzetti, C. Barbosa, A. Assireu, and A. Souza
Hydrol. Earth Syst. Sci., 14, 351–364, https://doi.org/10.5194/hess-14-351-2010, https://doi.org/10.5194/hess-14-351-2010, 2010
I.-Y. Yeo and J.-M. Guldmann
Hydrol. Earth Syst. Sci., 14, 325–338, https://doi.org/10.5194/hess-14-325-2010, https://doi.org/10.5194/hess-14-325-2010, 2010
C. L. Schneider, S. Attinger, J.-O. Delfs, and A. Hildebrandt
Hydrol. Earth Syst. Sci., 14, 279–289, https://doi.org/10.5194/hess-14-279-2010, https://doi.org/10.5194/hess-14-279-2010, 2010
C. Medici, S. Bernal, A. Butturini, F. Sabater, M. Martin, A. J. Wade, and F. Frances
Hydrol. Earth Syst. Sci., 14, 223–237, https://doi.org/10.5194/hess-14-223-2010, https://doi.org/10.5194/hess-14-223-2010, 2010
A. Petrone and F. Preti
Hydrol. Earth Syst. Sci., 14, 239–250, https://doi.org/10.5194/hess-14-239-2010, https://doi.org/10.5194/hess-14-239-2010, 2010
A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 14, 159–169, https://doi.org/10.5194/hess-14-159-2010, https://doi.org/10.5194/hess-14-159-2010, 2010
C. Gruhier, P. de Rosnay, S. Hasenauer, T. Holmes, R. de Jeu, Y. Kerr, E. Mougin, E. Njoku, F. Timouk, W. Wagner, and M. Zribi
Hydrol. Earth Syst. Sci., 14, 141–156, https://doi.org/10.5194/hess-14-141-2010, https://doi.org/10.5194/hess-14-141-2010, 2010
M. Barnolas, T. Rigo, and M. C. Llasat
Hydrol. Earth Syst. Sci., 14, 129–139, https://doi.org/10.5194/hess-14-129-2010, https://doi.org/10.5194/hess-14-129-2010, 2010
A. Schmidt, J. J. Gibson, I. R. Santos, M. Schubert, K. Tattrie, and H. Weiss
Hydrol. Earth Syst. Sci., 14, 79–89, https://doi.org/10.5194/hess-14-79-2010, https://doi.org/10.5194/hess-14-79-2010, 2010
R. Liu, J. Wen, X. Wang, L. Wang, H. Tian, T. T. Zhang, X. K. Shi, J. H. Zhang, and SH. N. Lv
Hydrol. Earth Syst. Sci., 14, 47–58, https://doi.org/10.5194/hess-14-47-2010, https://doi.org/10.5194/hess-14-47-2010, 2010
S. Werth and A. Güntner
Hydrol. Earth Syst. Sci., 14, 59–78, https://doi.org/10.5194/hess-14-59-2010, https://doi.org/10.5194/hess-14-59-2010, 2010
H. Lin
Hydrol. Earth Syst. Sci., 14, 25–45, https://doi.org/10.5194/hess-14-25-2010, https://doi.org/10.5194/hess-14-25-2010, 2010
A. Ducharne
Hydrol. Earth Syst. Sci., 13, 2399–2412, https://doi.org/10.5194/hess-13-2399-2009, https://doi.org/10.5194/hess-13-2399-2009, 2009
J. E. Barrett, M. N. Gooseff, and C. Takacs-Vesbach
Hydrol. Earth Syst. Sci., 13, 2349–2358, https://doi.org/10.5194/hess-13-2349-2009, https://doi.org/10.5194/hess-13-2349-2009, 2009
V. García-García, R. Gómez, M. R. Vidal-Abarca, and M. L. Suárez
Hydrol. Earth Syst. Sci., 13, 2359–2371, https://doi.org/10.5194/hess-13-2359-2009, https://doi.org/10.5194/hess-13-2359-2009, 2009
M. Shamsudduha, R. E. Chandler, R. G. Taylor, and K. M. Ahmed
Hydrol. Earth Syst. Sci., 13, 2373–2385, https://doi.org/10.5194/hess-13-2373-2009, https://doi.org/10.5194/hess-13-2373-2009, 2009
J. C. M. Andersson, A. J. B. Zehnder, G. P. W. Jewitt, and H. Yang
Hydrol. Earth Syst. Sci., 13, 2329–2347, https://doi.org/10.5194/hess-13-2329-2009, https://doi.org/10.5194/hess-13-2329-2009, 2009
S. Binet, L. Spadini, C. Bertrand, Y. Guglielmi, J. Mudry, and C. Scavia
Hydrol. Earth Syst. Sci., 13, 2315–2327, https://doi.org/10.5194/hess-13-2315-2009, https://doi.org/10.5194/hess-13-2315-2009, 2009
A. Bárdossy and G. G. S. Pegram
Hydrol. Earth Syst. Sci., 13, 2299–2314, https://doi.org/10.5194/hess-13-2299-2009, https://doi.org/10.5194/hess-13-2299-2009, 2009
K. Dontsova, C. I. Steefel, S. Desilets, A. Thompson, and J. Chorover
Hydrol. Earth Syst. Sci., 13, 2273–2286, https://doi.org/10.5194/hess-13-2273-2009, https://doi.org/10.5194/hess-13-2273-2009, 2009
D. Yamazaki, T. Oki, and S. Kanae
Hydrol. Earth Syst. Sci., 13, 2241–2251, https://doi.org/10.5194/hess-13-2241-2009, https://doi.org/10.5194/hess-13-2241-2009, 2009
L. Rapp and K. Bishop
Hydrol. Earth Syst. Sci., 13, 2191–2201, https://doi.org/10.5194/hess-13-2191-2009, https://doi.org/10.5194/hess-13-2191-2009, 2009
Cited articles
Allen, R., Pereira, L. S., Raes, D., and Smith, M.: FAO, Irrigation and drainage Paper 56, Crop evapotranspiration, Guidelines for computing crop water requirements, 1998.
Bastet, G., Bruand, A., Voltz, M., Bornand, M., and Quétin, P.: Performance of available pedotransfer functions for predicting the water retention properties of French soils, in: Characterization and Measurement of the Hydraulic Properties of Unsaturated Porous Media, edited by: van Genuchten, M. T., Leij, F. J., and Wu, L., University of California, Riverside, USA, 981–991, 1999.
Belmans, C., Wesseling, J. C., and Feddes, R. A.: Simulation of the water balance of a cropped soil: SWATRE, J. Hydrol., 63, 271–286, 1983.
Borgarello, M., Catenacci, G., Cavicchioli, C., and Parini, S.: Indagini sulla deposizione secca, Rapporto CISE-SAA-93-042, CISE, Milano, 1993.
Bouma, J.: Using soil survey data for quantitative land evaluation. Adv. Soil Sci., 9, 177–213, 1989.
Bouma, J. and van Lanen, J. A. J.: Transfer functions and threshold values; from soil characteristics to land qualities, in: Quantified Land Evaluation, edited by: Beek, K. J., Burrough, P. A., and McCormack, D. E., International Institute Aerospace Survey Earth Science, ITC Publishing, Enschede, The Netherlands, 106–110, 1987.
Bouraoui F. and Dillaha T. A.: ANSWERS-2000: Runoff and sediment transport model, J. Environ. Eng., 6, 493–502, 1996.
Braden, H.: Ein Energiehaushalts- und Verdunstungsmodell für Wasser- und Stoffhaushaltsuntersuchungen landwirtschaftlich genutzer Einzugsgebiete, Mitteilungen der Deutschen Bodenkundlichen Gesellschaft, 42, 294–299, 1985.
Christiaens, K. and Feyen, J.: Analysis of uncertainties associated with different methods to determine soil hydraulic properties and their propagation in the distributed hydrological MIKE SHE model, J. Hydrol., 246, 63–81, 2001.
Coppola, A., Basile, A., Comegna, A., and Lamaddalena, N.: Monte Carlo analysis of field water flow comparing uni and bimodal effective hydraulic parameters for structured soil, J. Contam. Hydrol., 104(1–4), 153–165, 2009.
Cosby, B. J., Hornberger, G. M., Clapp, R. B., and Ginn, T. R.: A statistical exploration of the relationship of soil moisture characteristics to the physical properties of soils, Water Resour. Res., 20, 682–690, 1984.
Cresswell, H. P. and Paydar, Z.: Functional evaluation of methods for predicting the soil water characteristic, J. Hydrol., 227, 160–172, 2000.
D'Urso, G. and Basile, A.: Physico-empirical approach for mapping soil hydraulic behaviour, Hydrol. Earth Syst. Sci., 1, 915–923, 1997.
Eitzinger, J., Trnka, M., Hosch, J., Alud, Z., and Dubrovsky, M.: Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions, Ecol. Model., 171, 223–246, 2004.
Facchi, A., Ortuani, B., Maggi, D., and Gandolfi, C.: Coupled SVAT-groundwater model for water resources simulation in irrigated alluvial plains, Environ. Modell. Softw., 19(11), 1053–1063, 2004.
Flanagan, D. C. and Livingston, S. J.: WEPP User Summary, NSERL Report No. 11., National Soil Erosion Research Laboratory, West Lafayette, 131 pp., 1995.
Freeze, R. A. and Cherry, J. A.: Groundwater, Prentice Hall Inc., Englewood Cliffs, New Jersey, 604 pp., 1979.
Gandolfi, C., Facchi, A., and Maggi, D.: Comparison of 1D models of water flow in unsaturated soils, Environ. Modell. Softw., 21, 1759–1764, 2006.
Gerosa, G., Cieslik, S., and Ballarin-Denti, A.: Micrometeorological determination of time integrated stomatal ozone fluxes over wheat: a case study in Northern Italy, Atm. Environm., 37(6), 777–788(C), 2003.
Gijsman, A. J., Jagtap, S. S., and Jones, J. W.: Wading through a swamp of complete confusion: how to choose a method for estimating soil water retention parameters for crop models, Europ. J. Agronomy, 18, 77–106, 2003.
Goudriaan, J.: Crop meteorology: a simulation study, Simulation monographs, Pudoc, Wageningen, The Netherlands, 1977.
Green, W. H. and Ampt, G.: Studies of soil physics. Part I. The flow of air and water through soils, J. Agr. Sci, 4, 1–24, 1911.
Guber, A. K., Pachepsky, Y. A., van Genuchten, M. Th., Šimunek, J., Jacques, D., Nemes, A. , Nicholson, T. J., and Cady, R. E.: Multimodel simulation of water flow in a field soil using pedotransfer functions, Vadose Zone J., 8(1), 1–10, 2009.
Gupta, S. C. and Larson, W. E.: Estimating soil water retention characteristics from particle size distribution, organic matter percent, and bulk density, Water Resour. Res., 15, 1633–1635, 1979.
Guswa, A. J., Celia, M. A., and Rodriguez-Iturbe, I.: Models of soil moisture dynamics in ecohydrology: a comparative study, Water Resour. Res., 38(2), 1–15, 2002.
Haverkamp, R., Debionne, S., Viallet, P., Angulo-Jaramillo, R., and de Condappa, D.: Soil Properties and Moisture Movement in the Unsaturated zone, in: Handbook of Groundwater Engineering, The Second Edition, edited by: Delleur, J. W., Springer, Heidelberg, 2006.
Herbst, M., Fialkiewicz, W., Chen, T., Putz, T., Thiéry, D., Mouvet, C., Vachaud, G., and Vereecken, H.: Intercomparison of Flow and Transport Models Applied to Vertical Drainage in Cropped Lysimeters, Vadose Zone J., 4, 240–254, 2005.
Hupet, F., van Dam, J. C., and Vanclooster, M.: Impact of within-field variability in soil hydraulic properties on transpiration fluxes and crop yields: a numerical study, Vadose Zone J., 3, 1367–1379, 2004.
Huygen, J. C., van Dam, J. C., Kroes, J. G., and Wesseling, J. G.: SWAP 2.0: input and output manual, Technical document, WAU and DLO-Staring Centrum, Wageningen, 1997.
Islam, N., Wallender, W. W., Mitchell, J. P., Wicks, S., and Howitt, R. E.: Performance evaluation of methods for the estimation of soil hydraulic parameters and their suitability in a hydrologic model, Geoderma, 134, 135–151, 2006.
Jeffrey, D. W.: A note on the use of ignition loss as a means for the approximate estimation of soil bulk density, J. Ecology, 58, 297–299, 1970.
Johnson, H. and Jansson, P. E.: Water balance and soil moisture dynamics of field plots with barley and grass ley, J. Hydrol., 129, 149–173, 1991.
Johrar, R. K., van Dam, J. C., Bastiaansan, W. G. M., and Feddes, R. A.: Calibration of effective soil hydraulic parameters of heterogeneous soil profiles, J. Hydrol., 285, 233–247, 2004.
Kroes, J. G. and van Dam, J. C.: Reference Manual SWAP version 3.0.3, Alterra-rapport 773, ISSN 1566–7197, 2003.
Lamorski, K., Pachepsky, Y., Slawinski, C., and Walczak, R. T.: Using Support Vector Machines to Develop Pedotransfer Functions for Water Retention of Soils in Poland, Soil Sci. Soc. Am. J., 72, 1243–1247, 2008.
Leij, F. J., Alves, W. J., van Genuchten, M. Th., and Williams, J. R.: The UNSODA-Unsaturated Soil Hydraulic Database. User's manual Version 1.0. Report EPA/600/R-96/095, National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Cincinnati, OH, 1996.
Liu, Y., Pereira, L. S., and Fernando, R. M.: Fluxes through the bottom boundary of the root zone in silty soils: parametric approaches to estimate groundwater contribution and percolation, Agric. Water Manag., 84, 27–40, 2006.
Maraux, F., Lafolie, F., and Bruckler, L.: Comparison between mechanistic and functional models for estimating soil water balance: deterministic and stochastic approaches, Agric. Water Manag., 38, 1–20, 1998.
Minansy, B. and McBratney, A. B.: The Neur-N method for fitting neural network parametric pedotransfer functions, Soil Sci. Soc. Am. J., 66, 352–361, 2002.
Monteith, J. L.: Evaporation and the Environment, in: The state and movement of water in living organisms, edited by: Fogg, G. E., Cambridge University Press, 205–234, 1965.
Mualem, Y.: A new model for predicting the hydraulic conductivity of unsaturated porous media, Water Resour. Res., 12, 513–522, 1976.
Neitsch, S., Arnold, J., Kiniry, J., Srinivasan, R., and Williams, J.: Soil and water assessment tool users manual version 2000, GSWRL report 02-02, BRC report 02-06, Texas Water Resources Institute, College Station, TX, 2002.
Nemes, A., Schaap, M. G., and Wösten, J. H. M.: Functional evaluation of pedotransfer functions derived from different scales of data collection, Soil Sci. Soc. Am. J., 67, 1093–1102, 2003.
Nemes, A., Wosten, J. H. M., Bouma, J., and Varallyay, G.: Soil water balance scenario studies using predicted soil hydraulic parameters, Hydr. Proc., 20, 1075–1094, 2006a.
Nemes, A., Rawls, W. J., and Pachepsky, Y. A.: Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties, Soil Sci. Soc. Am. J., 70, 327–336, 2006b.
Nemes, A., Rawls, W. J., Pachepsky, Y. A., and van Genuchten, M. Th.: Sensitivity Analysis of the Nonparametric Nearest Neighbor Technique to Estimate Soil Water Retention, Vadose Zone J., 5, 1222–1235, 2006c.
Niswonger, R., Prudic, D., and Regan, R.: Documentation of the unsaturated zone flow (UZF1) package for modeling unsaturated flow between the land surface and the water table with MODFLOW, Tech. Meth. 6-A19, USGS, 965 Reston, VA, 2006.
Pachepsky, Y. A. and Rawls, W. J.: Accuracy and reliability of pedotransfer function as affected by grouping soils, Soil Sci. Soc. Am. J., 63, 1748–1757, 1999.
Pachepsky, Y. A., Smettem, K. R. J., Vanderborght, J., Herbst, M., Vereecken, H., and Wösten, J. H. M.: Reality and fiction of models and data in soil hydrology, in: Unsaturated-Zone Modelling, edited by: Feddes, R. A., de Rooij, G. H., and van Dam, J. C., Kluwer Academic Publishers, Dordrecht, The Nederlands, 2004.
Rawls, W. J. and Brakensiek, D. L.: Estimation of soil water retention and hydraulic properties, in: Unsaturated flow in hydrologic modelling, Theory and Practice, edited by: Morel-Seytoux, H. J., Kluwer Academic Publishers, 275–300, 1989.
Refsgaard, J. C. and Storm, B.: MIKE SHE, in: Computer models of watershed hydrology, edited by: Singh, V. P., Water Resour, Publ., Littleton, CO, 809–846, 1995.
Reynolds, W. D., Elrick, D. E., Youngs, G., Booltink, H. W. G., and Bouma, J.: Saturated and field-saturated water flow parameters: laboratory methods, in: Methods of Soil Analysis, Part 4, 2002.
Romano, N., Hopmans, J. W., and Dane, J. H.: Water retention and storage: Suction table, in: Methods of Soil Analysis, Part 4, Physical Methods, edited by: Dane, J. H. and Topp, G. C., SSSA Book Series N.5, Madison, WI, USA, ISBN 0-89118-841-X, 692–698, 2002.
Richards, L. A.: Capillary conduction of liquids through porous mediums, Physics, 1, 318–333, 1931.
Romano, N.: Water retention and movement in the soil, in: CGIR Handbook of Agricultural Engineering, ASAE, 1999.
Saxton, K. E. and Rawls, W. J.: Soil water characteristic estimates by texture and organic matter for hydrologic solutions, Soil Sci. Soc. Am. J., 70, 1569–1578, 2006.
Schaap, M. G., Leij, F. J., and van Genuchten, M. Th.: ROSETTA: A computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions, J. Hydrol., 251, 163–176, 2001.
Schulla, J. and Jasper, K.: Model DescriptionWaSiM-ETH. Internal report, IAC, ETH Zurich, 166 pp., 2001.
Sharpley, A. N. and Williams, J. R.: EPIC Erosion Productivity Impact Calculator: 1. Model documentation, ARS-31, USDA, 1990.
Simunek, J., Huang, K., and van Genuchten, M. Th.: The HYDRUS Code, Research Report No. 144, US Salinity Laboratory Agricultural Research Service, USDA, Riverside, California, 1998.
Soet, M. and Stricker, J. N. M.: Functional behaviour of pedotransfer functions in soil water flow simulation, Hydrol. Process., 17, 1659–1670, 2003.
Starks, P. J., Heathman, G. C., Ahuja, L. R., and Ma, L.: Use of limited soil property data and modeling to estimate root zone soil water content, J. Hydrol., 272, 131–147, 2003.
Stoppelenburg, F. J., Kovar, K., Pastoors, M. J. H., and Tiktak, A.: Modeling the interactions between transient saturated and unsaturated groundwater flow. Off -line coupling of LGM and SWAP, Rep. 500026001, RIVM, Bilthoven, The Netherlands, 2005.
Strudley, M. W., Green, T. R., and Ascough, J. C.: Tillage effects on soil hydraulic properties in space and time: state of the science, Soil Till. Res., 99, 4–48, 2008.
Sudicky, E. A., Park, Y. J., Unger, A. J. A., Jones, J. P., Brookfield, A. E., Colautti, D., Therrien, R., and Graft, T.: Simulating complex flow and contaminant transport dynamics in an integrated surface–subsurface modeling framework., in GSA Annu. Meet. and Exposition, Philadephia, Geol. Soc. of Am., Boulder, CO, 38(7), p. 258, 2006.
Tietje, O. and Hennings, V.: Accuracy of the saturated hydraulics conductivity prediction by pedo-transfer function compared to the variability within FAO textural classes, Geoderma, 69, 71–84, 1996.
Tietje, O. and Tapkenhinrichs, M.: Evaluation of pedo-transfer functions, Soil Sci. Soc. Am. J., 57, 1088–1095, 1993.
Twarakavi, N. K. C., Simunek, J., and Schaap, M. G.: Development of Pedotransfer Functions for Estimation of Soil Hydraulic Parameters using Support Vector Machines, Soil Sci. Soc. Am. J., 73, 1443–1452, 2009.
Ungaro, F., Calzolari, C., and Busoni, E.: Development of pedotransfer functions using a group method of data handling for the soil of the Pianura Padano–Veneta region of North Italy: water retention properties, Geoderma, 124, 293–317, 2005.
van Dam, J. C., Huygen, J., Wesseling, J. G., Feddes, R. A., Kabat, P., Van Walsum, P. E. V., Groenendijk, P., and Van Diepen, C. A.: Theory of SWAP version 2.0. Simulation of water flow, solute transport and plant growth in the Soil-Water-Atmosphere-Plant environment, Report 71, Department of Water Resources, WAU, Technical Document 45, DLO Winand Staring Centre- DLO, 167 pp., 1997.
van Dam, J. C., Groenendijk, P., Hendriks, R. F. A., and Kroes, J. G.: Advances of Modeling Water Flow in Variably Saturated Soils with SWAP, Vadoze Zone J., 7, 640–653, 2008.
van Genuchten, M. Th.: A closed form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892–898, 1980.
van Genuchten, M. Th., Leij, F. J., and Yates, S. R.: The RETC code for quantifying the hydraulic functions of unsaturated soils, USEPA Rep. IAG-DW12933934, R.S. Kerr Environ. Res. Lab., US Environmental Protection Agency, Ada, OK, USA, 1991.
Vereecken, H., Diels, J., van Orshoven, J., Feyen, J., and Bouma, J.: Functional evaluation of pedotransfer functions for the estimation of soil hydraulic properties, Soil. Sci. Soc. Am. J., 56, 1371–1378, 1992.
Vereecken, H., Maes, J., and Darius, P.: Estimating the soil moisture retention characteristic from texture, bulk density and carbon content, Soil Sci., 148, 389–403, 1989.
Workmann, S. R. and Skaggs, R. W.: Sensitivity of water management models to approaches for determining soil hydraulic properties, Transaction of the ASAE, 37(1), 95–102, 1994.
Wösten, J. H. M., Bannink, M. H., de Gruijter, J. J., and Bouma, J.: A procedure to identify different groups of hydraulic conductivity and moisture retention curves for soil horizons, J. Hydrol., 86, 133–145, 1986.
Wösten, J. H. M., Lilly, A., Nemes, A., and Le Bas, C.: Development and use of a database of hydraulic properties of european soils, Geoderma, 90, 169–185, 1999.
Wösten, J. H. M., Pachepsky, Ya. A., and Rawls, W. J.: Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics, J. Hydrol, 251, 123–150, 2001.
