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The insertion of the sticks into the soil requires: a minimal disturbance of the soil surface a sufficient strength to insert them at 1.2m depth a minimal compaction around the boreholes for good soil-electrode contact Experimental design to monitor the influence of agricultural treatments on the dynamics of soil water content Marie Chélin 1,2 , Nargish Parvin 1,2 , Marie-Pierre Hiel 2,3 , Frederic Nguyen 4 , Sarah Garré 1 1 Université de Liège, Gembloux Agro-Bio Tech, Department of Biosystems Engineering, Passage des Déportés,2, B-5030 Gembloux, Belgium 2 Université de Liège, AgricultureIsLife.be , Passage des Déportés,2, B-5030 Gembloux, Belgium 3 Université de Liège, Gembloux Agro-Bio Tech, Department AgroBioChem, Passage des Déportés,2, B-5030 Gembloux, Belgium 4 Université de Liège, Géophysique, Geo³ , BAT. B52 Département ArGEnCo, chemin des Chevreuils, 1 , B- 4000 Liège 1, Belgium Electrical resistivity tomography (ERT) is appropriate to perform high-resolution monitoring of dynamics of soil water soil water content (SWC). The main advantages of this technique are that (i) it is quasi non-invasive and (ii) the measurement volume is larger than traditional methods. Based on our experience, we discuss several points which can be important for using geophysical methods in an agricultural context. In particular, we focus on the scale and resolution, the constraints influencing the experimental design and the data validation. The experimental field consists of 4 replications of 4 agricultural treatments (40m x 15 m). Our approach can be divided into several points: 1°) Spatial variability of apparent electrical resistivity σ a at the field scale (in collaboration with S. Lambot and G.A. Rodriguez (UCL & FNRS)) after sowing (April) and after harvesting (November) electromagnetic induction and ground penetrating radar to map the entire field with a distance of 0.75m between the measurement lines ERT transect with 1m electrode distance for calibration purposes 2°) Variability of σ a , scale ~1x2 m, depth:1.20m after sowing and after harvesting surface electrodes on a grid (figure 1c) 1 measurement per plot( in figure 1a) 3°) σ a dynamics over the growing season,, scale ~1x2m from sowing until harvesting; 1 time a week 4 plots, including 3 modalities + 1 bare soil ( in figure 1a) surface electrodes on a grid + sunk electrode sticks ( figure 1b , 1c and 1d) Wenner-Schlumberger and Dipole-Dipole arrays Remark: during prolonged drying cycles, exceptional infiltration events, etc., the temporal resolution will be increased to catch daily soil moisture patterns and stress periods for the crop. GENERAL APPROACH (1) CONTEXT EXPERIMENTAL SETUP Figure 1a: experimental field (top view) GENERAL APPROACH (2) 4°) σ a (θ ) relationship: Archie’s law under unsaturated conditions σ a and θ :calibration pit ( in figure 1a and 1e);σ w :close to the grid (figure 1c); ф : bulk density (1 time a month) over the growing season; θ sat :pF-curves ( in figure 1a) 5° ) Validation and valorization of data measurement of θ via time domain reflectometry (TDR ) (figure 1b) interactions between, soil structure, θ and plant development ( in figure 1a) Figure 1b: zone for ERT monitoring (top view) Figure 1c: ERT monitoring - grid and sticks (top view) 3 maize rows to take local variability into account suction cups (2depths) to monitor σ w surface electrodes to monitor σ a with greater resolution in the topsoil TDR probes (2 depths) to validate θ data larger zone to avoid border effects electrode spacing defined by the number of plugs in the ERT device grid enabling water infiltration and evaporation, to control the regularity of electrodes spacing and prevent electrodes movement screws to adapt the depth of the grid according to the dynamics of soil structure field variability of σ a crop production monitoring X-ray images, pF-curves ф, pF-curves(θ sat ) TDR probe to measure θ 4 electrodes to measure σ a temperature sensor to correct temperature effects Figure 1e: calibration pit (cross sectional view) stick with ring electrodes to monitor σ a with greater resolution in depth screwable components to adapt the sticks to future studies flat cap rigid plastic Figure 1d: ERT monitoring: stick PARAMETERS : Ф: total porosity θ sat : soil water content at saturation θ : soil water content σ a : soil apparent conductivity σ w : electrical conductivity of soil solution to sink the stick at 1.20m depth σ a monitoring (figure 1b) σ a (θ ) calibration (figure 1e) ~1.30m ~1.00m 69m 186m electrodes spacing: 0.15m 8 stainless steel ring electrodes WHICH SOLUTION? in collaboration with : N. Parvin, M.-P. Hiel, D.Eylenbosch (same university) OPEN QUESTION electrode maize row . electrode maize row
Transcript
Page 1: Experimental design to monitor the influence of ... · grid enabling water infiltration and evaporation, to control the regularity of electrodes spacing and prevent electrodes movement

The insertion of the sticks into the soil requires:

• a minimal disturbance of the soil surface

• a sufficient strength to insert them at 1.2m depth

• a minimal compaction around the boreholes for good soil-electrode contact

Experimental design to monitor the influence of agricultural treatments on the dynamics of soil water content

Marie Chélin1,2, Nargish Parvin1,2, Marie-Pierre Hiel2,3, Frederic Nguyen4, Sarah Garré1 1Université de Liège, Gembloux Agro-Bio Tech, Department of Biosystems Engineering, Passage des Déportés,2, B-5030 Gembloux, Belgium

2Université de Liège, AgricultureIsLife.be , Passage des Déportés,2, B-5030 Gembloux, Belgium

3Université de Liège, Gembloux Agro-Bio Tech, Department AgroBioChem, Passage des Déportés,2, B-5030 Gembloux, Belgium

4 Université de Liège, Géophysique, Geo³ , BAT. B52 Département ArGEnCo, chemin des Chevreuils, 1 , B- 4000 Liège 1, Belgium

Electrical resistivity tomography (ERT) is appropriate to

perform high-resolution monitoring of dynamics of soil water

soil water content (SWC). The main advantages of this

technique are that (i) it is quasi non-invasive and (ii) the

measurement volume is larger than traditional methods.

Based on our experience, we discuss several points

which can be important for using geophysical methods in an

agricultural context. In particular, we focus on the scale and

resolution, the constraints influencing the experimental design

and the data validation.

The experimental field consists of 4 replications of 4

agricultural treatments (40m x 15 m). Our approach can be

divided into several points:

1°) Spatial variability of apparent electrical resistivity σa

at the field scale (in collaboration with S. Lambot and G.A.

Rodriguez (UCL & FNRS))

• after sowing (April) and after harvesting (November)

• electromagnetic induction and ground penetrating radar to

map the entire field with a distance of 0.75m between the

measurement lines

• ERT transect with 1m electrode distance for calibration

purposes

2°) Variability of σa , scale ~1x2 m, depth:1.20m

• after sowing and after harvesting

• surface electrodes on a grid (figure 1c)

• 1 measurement per plot( in figure 1a)

3°) σa dynamics over the growing season,, scale ~1x2m

• from sowing until harvesting; 1 time a week

• 4 plots, including 3 modalities + 1 bare soil ( in figure 1a)

• surface electrodes on a grid + sunk electrode sticks

( figure 1b , 1c and 1d)

• Wenner-Schlumberger and Dipole-Dipole arrays

Remark: during prolonged drying cycles, exceptional

infiltration events, etc., the temporal resolution will be

increased to catch daily soil moisture patterns and stress

periods for the crop.

GENERAL APPROACH (1)

CONTEXT EXPERIMENTAL SETUP Figure 1a: experimental field (top view)

GENERAL APPROACH (2) 4°) σa (θ ) relationship: Archie’s law under unsaturated conditions

• σa and θ :calibration pit ( in figure 1a and 1e);σw :close to the grid (figure 1c); ф :

bulk density (1 time a month) over the growing season; θsat :pF-curves ( in figure 1a)

5° ) Validation and valorization of data

• measurement of θ via time domain reflectometry (TDR ) (figure 1b)

• interactions between, soil structure, θ and plant development ( in figure 1a)

Figure 1b: zone for ERT monitoring (top view) Figure 1c: ERT monitoring - grid and sticks (top view)

3 maize rows to

take local variability

into account

suction cups

(2depths) to

monitor σw

surface electrodes to

monitor σa with greater

resolution in the topsoil

TDR probes

(2 depths) to

validate θ data

larger zone to

avoid border

effects

electrode spacing

defined by the

number of plugs in

the ERT device

grid enabling water

infiltration and

evaporation, to

control the regularity

of electrodes spacing

and prevent

electrodes movement

screws to adapt the

depth of the grid

according to the

dynamics of soil

structure

field variability of σa

crop production monitoring

X-ray images, pF-curves

ф, pF-curves(θsat )

TDR probe to

measure θ

4 electrodes

to measure σa

temperature sensor to

correct temperature

effects

Figure 1e: calibration pit (cross sectional view)

stick with ring

electrodes to monitor

σa with greater

resolution in depth

screwable

components to

adapt the sticks to

future studies

flat cap

rigid plastic

Figure 1d: ERT monitoring: stick

PARAMETERS : Ф: total porosity θsat: soil water content at saturation θ : soil water content σa: soil apparent conductivity σw: electrical conductivity of soil solution

to sink

the stick at

1.20m depth

σa monitoring (figure 1b)

σa (θ ) calibration (figure 1e)

~1.3

0m

~1.00m

69m

18

6m

electrodes

spacing:

0.15m

8 stainless

steel ring

electrodes

WHICH SOLUTION?

in collaboration with :

N. Parvin, M.-P. Hiel,

D.Eylenbosch (same

university)

OPEN QUESTION

electrode

maize row

. electrode

maize row

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