• Aucun résultat trouvé

Soil infrastructure evolution and its effect on water transfer processes under contrasted tillage systems - overview of methodologies with preliminary results

N/A
N/A
Protected

Academic year: 2021

Partager "Soil infrastructure evolution and its effect on water transfer processes under contrasted tillage systems - overview of methodologies with preliminary results"

Copied!
20
0
0

Texte intégral

(1)

PhD student: Nargish Parvin

Supervisors: Aurore Degré, Gilles Colinet, Sarah

Garré and Bernard Bodson

Unit: Soil-Water Systems

Gembloux Agro-Bio Tech

University de Liège

Belgium

Soil infrastructure evolution and its effect on water

transfer processes under contrasted tillage systems

(2)

Background

Aim

Methodologies

• Soil infrastructure evolution and its effect on water transfer

processes under contrasted tillage systems

Preliminary

(3)

4 Research

Axis

18 PhD Students

What are the performances of non-conventional agricultural practices? (6 projects)

How can we best valorize

agricultural residues:

soil-water-plant systems? (4 projects) Which are the new tools and technology for crop protection? (4 projects) What can an alternative destiny or valorization of agricultural products? (4 projects)

Multidisciplinary research projects ‘

AgricultureIsLife

-- A research platform to develop the agriculture of tomorrow

Common experimental farm

Projects started, 2013

tillage and crop

residues on soil

infrastructure

Gembloux, Belgium

(4)

Functional

part of

soil

All the processes are highly determined by soil

hydrodynamics

The parts of the soil pore and particle networks, their interfaces/surfaces that are active in

translocation processes– water, air, gas and colloids (Jonge et al., 2009)

Soil infrastructure (functional part of soil)

(5)

Compaction

Platy strcuture

At pedon scale heterogenous soil strcuture

can lead to nonequilibrium conditions and

uneven and rapid movement (preferential)

of water flow of different types

Characterise preferential flow at pore scale?

Pore >0,3mm, connectivity, orientation, way

of formation??

X-ray tomography – all the microporosity??

Modeling Structured soil - spatial variability of soil structure and bulk density

Loess belt of Belgium: different management practices -- different value and distribution

of bulk density in the soil profile

Structural evolution

Hydropedological behavior

(6)

*

Effect of tillage on soil structure

(

Winter ploughing

(0-25 cm) and

Strip tillage

(0-10cm))

*

Effect of organic matter and pedofauna in the aspect of

conservation tillage (

No-tillage res.in

and

No-tillage res.out

)

2013

2016

Before and after

the tillage

Cover crop- suger beet-winter wheat-cover crop-maize-cover

crop-winter wheat

2013

2016

Before and after

residues incorporation

Soil Class: Luvisol (Silt loam)

Tillage

153 m

224 m

Crop residues

Cover crop-faba bean-winter wheat-cover crop-faba bean-winter wheat

Background

(7)

*Pedon scale

Unsaturated hydraulic conductivity

Soil water fluxes throughout the season

*Core scale

Laboratory measurement to characterize soil-water properties

at both

macroscopic

and

microscopic

level

Pedostructure concept

Better understanding of the soil water system by quantitatively

characterizing soil structural properties

Soil-water flow dynamics

under

Winter plough, Strip till and No-till res. in and out

PS parameters related to soil strcuture/macro-porosity will exhibit

substantial changes between tillage and land management

Background Aim

(8)

Characterization of soil-water properties – developing pedotransfer functions

Influence of structure on

soil-water

characteristic curve

Soil water content

H

ydr

auli

c

condu

cti

vit

y

strongly dependent on the detailed pore geometry,

water content, and differences in matric potential

*For numerical modeling it is convenient to express analytically the soil-water characteristic

curve and hydraulic conductivity of soil

Soil texture

Bulk density

Soil structure

Organic matter

content

(9)

Soil water retention characteristics

Richards pressure plate technique

100 cm

3

pF 1 to 4.2

Background Aim

Methodologies- Core scale (Macroscopic)

Preliminary results conclusion

250 cm

3

pF 0 to 4.2

Evaporation measurement (Hyprop©)

WRC near

saturation

unsaturated

hydraulic

conductivity

(10)

Movement of water through soil under saturated and unstaurated condition

Hydraulic conductivity of soil

Permeameter

Tension infiltrometer

Compare with unsaturated hydraulic conductivity by the

evaporation process

Background Aim

Methodologies- core scale and Pedon scale

(Macroscopic) Preliminary results conclusion

Multistep outflow

(collaborative project)

WRC and Hydraulic

conductivity

1000 cm

3

Comparison of WRC and HC – larger soil sample

(11)

X-ray Microtomography

the pores, porosity distribution...

Fast scan - enfances the characterisation of

pores near saturation (Beckers et al., 2013)

Background Aim

(12)

Soil moisture and temperature distribution

Background Aim

Methodologies- Pedon scale

Preliminary results conclusion

Water content and temperature distribution of four

different trials –

validation of model

Hydrus 2D for each tillage and residues management system

# Spatio-temporal

comparison by the

Electrical Resistant

Tomography (ERT) –

collaborative project

Pic: Beff et al., 2013

60

cm

(13)

0 1 2 3 4 5 10 30 50 70 pF

Volumetric water content %

Winter ploughing

0-30 cm 40-50 cm 50-80 cm 80-85 cm 0 1 2 3 4 5 10 30 50 70 pF

Volumetric water content %

Strip tillage

0-32 cm 32-45 cm 50-65 cm 120-150 cm 0 1 2 3 4 5 10 30 50 70 pF

Volumetric water content %

No-till residues out

0-30 cm 30-38 cm 50-70 cm 0 1 2 3 4 5 10 30 50 70 pF

Volumetric water content %

No-till residues in

0-20 cm 30-38 cm 38-50 cm 50-70 cm

Time of sampling??

(14)

10 20 30 40 50 0 1 2 3 4 5 V olu me tr ic w at er c on ten t, % pF Pressure plate Evaporation 10 20 30 40 50 0 1 2 3 4 5 V olu me tr ci w at er c on ten t, % pF Pressure plate Evaporation 10 20 30 40 50 0 1 2 3 4 5 V olu me tr ic w at er c on ten t, % pF Pressure plate Evaporation 10 20 30 40 50 0 1 2 3 4 5 V olu me tr ic w at er c on ten t, % pF Pressure plate Evaporation

Background Aim Methodologies

Results-

WRC in Pressure plate and in evaporation

conclusion

Surface soil, 0-25 cm

Winter plough

Strip tillage

(15)

Fitted by Van Genutchen (m=1-1/n)- Mualem model 10 15 20 25 30 35 40 45 50 -3 -2 -1 0 1 2 3 4 5 V ol u me tr ci w at er c on tent, % pF Pressure plate Hyprop evaporation

Background Aim Methodologies

Preliminary results-

Soil water retention (Surface Soil),

0-25 cm conclusion 10 15 20 25 30 35 40 45 50 -3 -2 -1 0 1 2 3 4 5 V olu m ter ic w at er c on ten t, % pF Pressure plate Hyprop evaporation

No-till res. out

10 15 20 25 30 35 40 45 50 -3 -2 -1 0 1 2 3 4 5 V olu me tr ci w at er c on ten t, % pF Pressure plate Hyprop evaporation

No-till res. in

10 15 20 25 30 35 40 45 50 -3 -2 -1 0 1 2 3 4 5 V olu me tr ic w at er c on ten t, % pF Pressure plate Hyprop evaporation

(16)

 would be the over estimation

or

underestimation of Ɵ

when the manufacturer based

equation is used for the calculation.

to increase the

accuracy from

±3-4 % to ±1-2%

Background Aim Methodologies

Preliminary results-

Soil specific calibration of sensors

conclusion

Site 1

Site 2

(17)

Conclusion and future aspects…

Pressure plate shows greater water retention than evaporation

method at saturation – lack of conductance, differences in saturation

could be the reason

Soil water retention- before land management –

Thoughout the profile

Significantly higher water retention in winter plough than strip till

No significant difference in water retention due to residues

management

Surface soil

No till systems retain significantly greater water content

Differences in methods

Compaction effect

(18)

Collaborations

Effect of soil water flow process on crop development

Effect of tillage and crop residues on microbial

community compositions

How the land management influence the spatial and

vertical distribution of nutrients within soil profile

AgricultureIsLife

References:

Beckers E., Plougonven E., Gigot N., Léonard A., Roisin C., Brostaux Y., and Degré A. 2013. Coupling X-ray

microtomography and macroscopic soil measurements: a method to enhance near saturation functions? Hydrol. Earth Syst. Sci. Discuss., 10, 4799-4827.

Beff L., Günther T., Vandoorne B., Couvreur V., and Javaux M. 2013. Three-dimensional monitoring of soil water content in a maize field using electrical resistivity tomography. Hydrol. Earth Syst Sci., 17( 2), 595-609.

Jonge de LW., Moldrup P., and Schjønning P. 2009. Soil Infrastructure, Interfaces & Translocation Processes in Inner Space (“Soil-it-is”): towards a road map for the constraints and crossroads of soil architecture and biophysical processes. Hydrol. Earth Syst. Sci., 13, 1485-1502.

(19)

For more details, questions? Want to join?

www.AgricultureIsLife.be

LinkedIn AgricultureIsLife

twitter # AgricultureIsLife

(20)

Thank you…

Références

Documents relatifs

Dans ce chapitre nous avons relaté les différents travaux dans le domaine du comportement au feu ainsi que les différentes approches au niveau des règlements .Plusieurs

There are very few measurements of mesospheric water vapour, and as a result, very little is known about the chemistry and transport processes that occur. As

Four key technologies, to be used at different stages of a typical Active Debris Removal (ADR) mission will be tested: Vision Based Navigation (VBN) as a tool

For the water entry problem of a rigid body, the numerical results are successfully compared with analytical solutions for wedge, cone and the three­ dimensional

The porous inorganic membranes can be prepared in many ways, depending on the materials, membrane and support structure, porosity and membrane thickness. It is difficult,

First, the overall best results are obtained for the (1 + 7)-ES scheme starting from the Gibbs initialization and using the “blind” transposition mutation only (Figure 4-a) (see

On the other hand, both applications received high scores in perceived audio- visual adequacy, perceived feedback's adequacy, and perceived usability.. These results provided a

The goal of DPF's filter merging algorithms is to ensure that all the common atoms in mergeable filters are executed at most once when demultiplexing a packet..