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Evaluating lysimeter drainage against soil deep percolation modeled with profile soil moisture and lab measured hydraulic properties
Hydrological Observatory
www.hobecenter.dk
Vicente Vásquez, Kirsten Schelde, Anton Thomsen and Bo V. Iversen Dept. of Agroecology, Aarhus University, DK-8830 Tjele, Denmark
Introduction Quantifying recharge via deep percolation is needed for sustainable
management of water resources The impact of climate change on recharge can be addressed with robust
modeled predictions Combining different techniques for in situ determination of soil deep
percolation can reduce the uncertainties on water balance
Research questions Can soil water flow modeling based on lab measured hydraulic properties
replicate field measurements of profile soil moisture? Is there enough information in soil texture and profile soil water content
time series to estimate soil unsaturated flow? How big is the difference in estimated annual recharge between
lysimeters, inverse modeling of profile soil moisture and texture (SWC METHOD), and forward modeling based on lab measured hydraulic properties (LAB METHOD)?
The 1D soil water flow model Hydrus 1D based on Richards equation and the Mualem (1976) van
Genuchten (1980) model Inverse optimization of soil hydraulic parameters α, Ksat with profile soil
moisture time series, texture and atmospheric (transient) boundary conditions. All other parameters kept constant to the default textural values available in Hydrus 1D.
Measurements Lab determination of water retention curve, Ksat and K(h) with drip
infiltrometer on large intact soil cores (20x20cm) Automated large (12.5 m2) zero tension lysimeters located below the root
zone. Automated profile TDR measurements for below root zone observations of
soil moisture; capacitance probes for higher depth resolution near the surface
Materials and methods
Field instrumentation
Four 12.5m2 repacked lysimeters Study area: A winter barley field in Skjern river catchment Yellow rectangle is the area for instrumentation of agricultural field observatory. Blue rectangle shows the location of four lysimeters. Red rectangle shows location of Profile TDR
Upper boundary and root zone
Figure 2. Cumulative ETec against residual ET from water balance in lysimeters
Highlights Near surface soil moisture is overestimated (0-30cm) and
underestimated (30-60cm) by LAB METHOD, but the overall dynamics are well represented
Annual recharge estimated at 60 cm and 2m depth with SWC METHOD was 17 and 20% (100-120 mm) higher than LAB METHOD, probably due to uncertainty in estimation of Ksat from texture.
Annual recharge from lysimeters and SWC METHOD (2m depth) is in good agreement (< 5mm), however; lysimeters yield higher flow rates during high precipitation
In general, recharge from LAB METHOD was 17% lower than lysimeters and SWC METHOD. This is probably an indication that even in sand soils (>90% sand), differences between repacked soils (SWC METHOD and Lysimeters) and undisturbed soils (intact soil cores-LAB METHOD) have a large impact on the estimated recharge
Good agreement between lysimeters and SWC METHOD exist, validating the use of this method for upscaling ground water recharge
Below root zone field, lysimeters
Conclusions
Soil moisture time series and soil texture information can be used effectively to predict ground water recharge
In situ soil moisture dynamics was well represented by
lab hydraulic property cores, however, the magnitude of soil moisture measurements was not
Annual recharge with a combination of independent
methods had an uncertainty of ±10% References
Mualem Y. (1976) New Model for Predicting Hydraulic Conductivity of Unsaturated Porous-Media. Water Resources Research 12:513-522. Simunek J., van Genuchten M.T., Sejna M. (2008) Development and applications of the HYDRUS and STANMOD software packages and related codes. Vadose Zone Journal 7:587-600. van Genuchten, M. Th. 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. SoilSci. Soc. Am. J. 44:892-898.
Lab measured hydraulic properties undisturbed soil cores
Cumulative Drainage inferred from 2m SWC + texture, mm
0 200 400 600 800C
umul
ativ
e D
rain
age
Lysi
met
ers
and
Mod
eled
Lab
cor
es, m
m
0
200
400
600
800
LAB METHOD at 2m Lysimeters at 2m
2011-2012
Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep
Lysi
met
er d
rain
age,
mm
/day
0
10
20
30
40
50
60
Cum
ulat
ive
Lysi
met
er d
rain
age,
mm
0
200
400
600
800
Lysimeters at 2m
2011-2012
Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep
Dra
inag
e, m
m/d
ay
0
10
20
30
40
50
60
Cum
ulat
ive
drai
nage
, mm
0
200
400
600
800SWC METHOD at 2m LAB METHOD at 2m
2011-2012
Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep
Dra
inag
e, m
m/d
ay
0
10
20
30
40
50
60
Cum
ulat
ive
drai
nage
D, m
m
-200
0
200
400
600
800SWC METHOD at 60 LAB METHOD at 60 cm
2011-2012
Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep
Vol
umet
ric s
oil w
ater
con
tent
SW
C, c
m3/
cm3
0.0
0.1
0.2
0.3
0.4
0.5
0-30 cm measured30-60 cm measured0-30cm LAB METHOD30-60cm LAB METHOD
2011-2012
Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep
Ref
eren
ce E
vapo
trans
pira
tion,
mm
0
2
4
6
8
10
12
Pre
cipi
tatio
n, m
m
0
20
40
60
80
LAI
0
2
4
6
8
ETrefprecipLAI
UID: 76790