determination of effective soil hydraulic properties - challenges and solution strategies ·...
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Determination of Effective Soil Hydraulic Properties -Challenges and Solution Strategies
Wolfgang DurnerSascha IdenAndre PetersUlrike Jansen
initial hypothesis
• reliable characterization of the soil hydraulic behaviour is the base for further analyses of hillslope processes
� IntroRichards equation, hydraulic properties, retention and conductivity function
� Key questionsexistence, relevance, and accuracy
� Solution strategiesexperiments, models
� Conclusions
Der Begriffoutline
outline
– standard model to describe water movement in the unsaturated zone
Richards equation (Richards, 1931)
( ) ( ) sz
hhK
zt
hhC +
+∂∂
∂∂=
∂∂
1
– standard model to describe water movement in the unsaturated zone
– no agreement amongst hydrologists and soilphysicists with respect to ist suitability to describe processes on a larger scale (Beven: „Darcy is bullshit“)
intro�
air water solid fine pore macropore horizon profile catchment
Der Begriffrepresentative elementary volume
�intro
continuum approach
wat
er c
onte
nt, θ
Durner and Flühler, Encyclopaedia of Hydrological Sciences, 2005
soil hydraulic properties
Durner und Lipsius, Encyclopaedia of Hydrological Sciences, 2005
( )hK
intro�
( )θh
� IntroRichards equation, hydraulic properties, retention and conductivity function
� Key questionsexistence, relevance, and accuracy
� Solution strategiesexperiments, models
� Conclusions
Der Begriffoutline
outline
key questions in measuring hydraulic properties are
existence ?relevance ?accuracy ?
key questions�
Photo: Stamm, 1995
Effective Effective
Hydraulic Hydraulic
PropertiesProperties
are not are not
equivalentequivalent
toto
Mean Mean
PropertiesProperties
�
effective properties
• effective WRC:arithm. mean of local WRCs
• effective conductivity:arithm. mean of local conductivites
�existence?
loamabove sand
effective properties ?
• effective WRC:
it depends ...
• effective conductivity:harmonic mean
�existence?
isotropic random field of conductivities
yields
vertically orientedpreferential water
flow paths
(Roth, WRR, 1996)
effective properties ? �isotropic
random field of conductivities
yields
vertically orientedpreferential flow
paths
existence?
Der Begriff �relevance?
upscaling
Der Begriffcontinuous versus stepwise scale transitionupscaling �
relevance?
Der Begrifftest @ large lysimeter
Bous, 2004
mittel schluffiger
Sand
62 % Sand35 % Schluff3 % Ton
3 x 3 TDR-Sonden59, 34 und 8.5 cm
über unterem Rand
3 x 2 Tensiometer63.5, 38 und 16.5 cmüber unterem Rand
�accuracy?
Prediction of the hydraulic response of a lysimeter
Der Begrifftest casePrediction of the hydraulic response of a lysimeter
�accuracy?
directly measured saturated hydraulic conductivity [cm/d]
only of academic interest ?
Vereecken et al., Soil Science, 1997
inve
re e
stim
atio
n [c
m/d
]
�accuracy?
� IntroRichards equation, hydraulic properties, retention and conductivity function
� Key questionsexistence, relevance, and accuracy
� Solution strategiesexperiments, models
� Conclusions
Der Begriffoutline
outline
Strategy 1: Better Experiments!
1) Check existence:
Evaluation of dynamic flow observations byinverse modeling
better experiments �
tensiometer 1
tensiometer 2
pressure transducer lower boundary
soil column
porous plate
regulated pressure
bu
ret t
e
pressuretransducer
Typical MSO
Hopmans, Simunek, Romano and Durner, Methods of Soil Analysis, 2002
�better experiments
inflow/outflow experiment: modeling results �
2) Improve relevance:
Perform measurements in the moisture range of interest
�better experiments
restricted range (data from the UNSODA data base)
Diplomarbeit Michael Herbst, 2007
�
proposed functions of θ(h)
Diplomarbeit Michael Herbst, 2007
�
extraplation uncertainty: 14 different RETC models
Diplomarbeit Michael Herbst, 2007
�
Diplomarbeit Michael Herbst, 2007
�similarities of fits: 14 different RETC models
misfit: near saturation
Durner, Water Resources Research, 1994
�
Peters und Durner, Journal of Hydrology, in Review
�misfit: toward drynessData obtained by the evaporation method
better experiments
requirement: better sensors
Schematic of heat dissipation sensor CSI 229 [Campbell Scientific Inc., Logan, Utah].
�
2) Improve relevance:
Perform measurements in the moisture range of interest
Perform measurements on the scale of interest
�better experiments
2)
Perform measurements on the scale of interest
Der Begrifflysimeters are a useful intermediate scale
1010--44 mm33 1010--33 mm33 1010--22 mm33 101000 mm33
Stechzylinder
Hohe LaborsäuleLaborsäule
1010--11 mm33
Gestochenes Lysimeter
Durner et al., European Journal of Soil Science, 2008
�better experiments
Hydraulic properties on the lysimeter scale
still applicable?
−=⋅ )()()( hK
z
hhK
zt
hhC
∂∂
∂∂
∂∂
�
homogeneous lysimeter
Time [days]
�
Durner et al., European Journal of Soil Science, 2008
Strategy 2: Better Models!
better models ��
3) Improved accuracy...
– Integral fit of the retention function– Choice of a proper retention and conductivity model– Flexible parameterization
�solution strategies
�integral fit
solution: use accurate object function in the fitting
Peters and Durner, Water Resources Research, 2006
�solution
integral fit avoids smoothing artefact
Peters and Durner, Water Resources Research, 2006
�solutions
�
bimodal K-prediction
Priesack und Durner, VZJ, 2006
solutions�
3) Improved accuracy...
– Integral fit of the retention function– Choice of a proper retention and conductivity model– Flexible parameterization
solutions�
Der Begriffbiased conductivity prediction at small nvan Genuchten/Mualem: artefact near saturation
K(h) nach van Genuchten/Mualem
1.E-06
1.E-04
1.E-02
1.E+00
1.E+02
0 1 2 3 4
pF-Wert
Rel
. Lei
tfähi
gkei
t Kr(
h) [-
]
Sand
Lehm
Schluff
Ton
Retentionskurven nach van Genuchten
0.25
0.30
0.35
0.40
0.45
0.50
0.55
0 1 2 3 4
pF-Werte
vol.
Was
serg
ehal
t [-]
1.01
1.02
1.1
1.05
2.0
1.2
1.05
1.01
�
use in pedotransfer models ! �
Der Begriffexplicit consideration of the air entry point
Van Genuchten, WRR, 1980Vogel und Cislerova, TIPM, 1988Durner, WRR, 1994
�better models
validity of the Mualem model ?
gesättigt
kapillar
Filmfluss
Tuller und Or, WRR, 2001
�
Peters‘ conductivity model
vG unimodal Peters
Peters und Durner, Journal of Hydrology, in Review
�better models
Peters‘ conductivity model
Peters und Durner, Journal of Hydrology, in Review
�
3) Improved accuracy...
– Integral fit of the retention function– Choice of a proper retention and conductivity model– Flexible parameterization
solutions�
Retentionseigenschaften Cambisol FAL
10
20
30
40
50
60
70
1 10 100 1000 10000
Matrixpotential [cm WS]
Was
serg
ehal
t [%
]
20 cm Tiefe 40 cm Tiefe 60 cm Tiefe 80 cm Tiefe 20 cm 40 cm 60 cm 80 cm
field retention curves �
unimodal
(van Genuchten, WRR, 1980)
�
bimodal
(Durner, WRR 1994; Zurmühl und Durner, SSSAJ, 1998)
�
Free form
(Bitterlich et al., VZJ, 2004)
�
Bitterlich, Iden, Durner, Knabner, Vadose Zone Journal, 2004Iden und Durner, Water Resources Research, 2007Iden and Durner, European Journal of Soil Science, in press
free-form functions �
Inverse Simulation using Free-Form Functions and Glo bal OptimizationSynthetic Data Set – Free-Form Approach r = 2 �
Iden und Durner, Water Resources Research, 2007
�Inverse Simulation using Free-Form Functions and Glo bal OptimizationSynthetic Data Set – Free-Form Approach r = 3
Iden und Durner, Water Resources Research, 2007
�Inverse Simulation using Free-Form Functions and Glo bal OptimizationSynthetic Data Set – Free-Form Approach r = 9
Iden und Durner, Water Resources Research, 2007
Soil: Bayreuth Sandy Loam (Bt)
Experiment: MSO @ 14 cm high column
Data by Dr. Bernd Schultze
Application example: free-form SHyP �
Iden und Durner, Water Resources Research, 2007
�Inverse Simulation using Free-Form Functions and Glo bal OptimizationApplication – Bayreuth Sandy Loam n = 2
Iden und Durner, Water Resources Research, 2007
�Inverse Simulation using Free-Form Functions and Glo bal OptimizationApplication – Bayreuth Sandy Loam n = 3
Iden und Durner, Water Resources Research, 2007
�Inverse Simulation using Free-Form Functions and Glo bal OptimizationApplication – Bayreuth Sandy Loam n = 8
Iden und Durner, Water Resources Research, 2007
Resumèe: free-form functions
• avoid any systematic error in the parametrization of the retention and conductivity
• yield parameters with superior correlation structure
• allow to quantify the local uncertainties of estimated SHYP
• reflect exactly the information content of the measurment data
• can be used in tabular form by numerical simulation models
�
� IntroRichards equation, hydraulic properties, retention and conductivity function
� Key questionsexistence, relevance, and accuracy
� Solution strategiesexperiments, models
� Conclusions
Der Begriffoutline
outline
Only minimal progress is likely when methods which were useful before the availability of computers are being programmed for computer use.
S. J. Burgess. 1986. Trends and Directions in Hydrology, Water Resour. Res. 22(9):1S-5S
conclusions
• Better Experiments– larger measurement scales– intelligent experimental design– enhanced senors
• Better Models– more flexible constitutive relationsships– advanced evaluation methods
– improved sensors– larger measurement scales– suitable experimental design
– data analysis that avoids any systematic errors– more flexible constitutive relationsships– evaluation by robust inverse methods
conclusions
Thank you!
If interested, ask for reprints!
selected literature
• Durner, W., U. Jansen, and S.C. Iden (2008): Effective Hydraulic Properties of Layered Soils at the Lysimeter Scale Determined by Inverse Modelling, European Journal of Soil Science, 59, 114-124. doi: 10.1111/j.1365-2389.2007.00972.x
• Iden, S.C. and W. Durner (2008): Multiple batch extraction test to estimate contaminant release parameters using a Bayesian approach, Journal of Contaminant Hydrology 95(2008), 168-182, doi:10.1016/j.jconhyd.2007.09.004
• Durner, W., B. Scharnagl, S. Iden, L. Weihermüller, and H. Vereecken (2007): Übertragbarkeit hydraulischer Eigenschaften aus Laborversuchen auf ein Testlysimeter, Mitteilungen der Deutschen Bodenkundlichen Gesellschaft, Band 110, Heft 1, S. 87-88
• Iden, S.C., and W. Durner (2007): Free-Form estimation of the unsaturated soil hydraulic properties by inverse modelling using global optimization, Water Resour. Res. VOL. 43, W07451, doi:10.1029/2006WR005845.
• Peters, A., and W. Durner (2007): Optimierung eines einfachen Verdunstungsverfahrens zur Bestimmung bodenhydraulischer Eigenschaften, Mitteilungen der Deutschen Bodenkundlichen Gesellschaft, Band 110, Heft 1, S. 125-126
• Peters, A., and W. Durner (2006): Improved estimation of soil water retention characteristics from hydrostatic column experiments, Water Resour. Res.,42, W11401, doi:10.1029/2006WR004952.
• Priesack, E., and W. Durner (2006): Closed-form expression for the multi-modal unsaturated conductivity function, Vadose Zone Journal 5: 121-124
• Durner, W., and D. Or (2005): Chapter 73: Soil Water Potential Measurement, in: Anderson M.G. and J. J. McDonnell, Encyclopedia of Hydrological Sciences, Chapter 73, 1089-1102, John Wiley & Sons, Ltd.
• Durner, W., and H. Flühler (2005): Chapter 74: Soil Hydraulic Properties, in: Anderson M.G. and J. J. McDonnell, Encyclopedia of Hydrological Sciences, Chapter 74, 1103-1120, John Wiley & Sons, Ltd.
• Durner, W., and K. Lipsius (2005): Chapter 75: Determining Soil Hydraulic Properties, in: Anderson M.G. and J. J. McDonnell, Encyclopedia of Hydrological Sciences, Chapter 75, 1021-1144, John Wiley & Sons, Ltd.
• Peters, A., and W. Durner (2005): Verbesserte Methode zur Bestimmung der Retentionsfunktion aus statischen Säulenexperimenten, Mitteilungen der Deutschen Bodenkundlichen Gesellschaft. 107, 83-84
• Bitterlich, S., W. Durner, S.C. Iden, and P. Knabner (2004): Inverse Estimation of the Unsaturated Soil Hydraulic Properties from Column Outflow Experiments Using Free-Form Parameterizations, Vadose Zone Journal 3, 971-981.
• Hopmans, J.W., J. Šimunek, N. Romano, and W. Durner (2002): Simultaneous determination of water transmission and retention properties - Inverse methods. p 963-1008., In J.H. Dane and G.C. Topp (Eds.): Methods of Soil Analysis, Part 4: Physical Methods. 4thEdition. SSSA Book Series No. 5, American Society of Agronomy and Soil Science Society of America, 2002.