HAL Id: hal-01192205
https://hal.archives-ouvertes.fr/hal-01192205
Submitted on 6 Jun 2020
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Change in recharge of aquifers under several cropping systems due to climate change. Consequences on land
use at territorial level
Bernard Itier, Nadine Brisson, Vincent Badeau, Nathalie Bréda, Alexandre Bosc, Michel Déqué, Jean Louis Durand, Lydie Guilioni, Christian Pagé,
Romain Lardy, et al.
To cite this version:
Bernard Itier, Nadine Brisson, Vincent Badeau, Nathalie Bréda, Alexandre Bosc, et al.. Change in recharge of aquifers under several cropping systems due to climate change. Consequences on land use at territorial level. Colloque ACCAE 2010 Adaptation au changement climatique de l’agriculture et des écosystèmes, Oct 2010, Clermont-Ferrand, France. n.p. �hal-01192205�
Change in recharge of aquifers under several cropping systems due to climate change.
Consequences on land use at territorial level
Bernard Itier (INRA), Nadine Brisson (INRA), Vincent Badeau (INRA) Nathalie Breda(INRA), Alexandre Bosc (INRA), Michel Déqué (CNRM), Jean Louis
Durand (INRA), Lydie Guilioni (SUPAGRO), Christian Pagé (CERFACS), Romain Lardy (INRA), Philippe Pieri (INRA), Romain Roche (INRA)
http://www.clermont.inra.fr/urep/accae
Evolution of annual rainfall & potential water balance over France
R-ETo(mm) R (mm)
1970-1999 (observed) 2020-2049 (simulated) ( Arpège-A1b-TT)
03/11/2010 3
Decrease in water recharge (
∆Recharge) versus decrease in rainfall (
∆Rainfall) due to climate change
∆(Rainfall)
1:1
α<45°
Edaphic Drought:
” Drought”
Hydrologic Drought:
“Water scarcity”
∆Recharge
∆(ΣETa)
Le bilan hydrique
WHC (Water Holding Capacity)
Effective rain : R – Ro
over thirty years Recharge of aquifers : D + Ro – ( Irr )
ETa : R –Recharge
∆ R : ∆Eta + ∆Recharge
∆S = ( R+ I ) – (ETa+D+Ro)
Water balance at field level
R Irr Ro
ETa
S
Capillary rise neglected
D
At catchment level :
Recharge = Σ
k=1,Nα
k .Recharge
k• A catchment can be covered with several types of cropping system:
• Rainfed ,Fully irrigated, Deficit irrigated
• Winter crops, Spring crops - Annual crops, Perennial crops
Is there any characteristic of a particular cropping system regarding water recharge as a function of soil & climatic conditions?
Irrigation is generaly classified according to the way water is distributed within the field: {pivot, sprinkler, furrow,drip,…}
To tackle the question of water resource management at catchment level, we need to classify irrigation system
according to the
origin of irrigation water
.
drainage ETa Irrigation
Rain
River Reservoirs
An attempt to tackle the question of irrigation through a typology of water resources
To improve water management at
catchment level, what is the relative importance of practices and cropping systems patterns?
depending on :
• 1/ Water comes from large aquifers
belonging ( even partly) to the catchment
• 2/ water comes from rivers ( fed or not by canals) or from small aquifers associated to these rivers
What are the questions?
• A/ Large aquifers:
What will enable the level of the water table to be maintained year after year?
• B/ Rivers:
What will enable the flow above the
threshold value necessary for other use and water quality purposes to be
maintained?
A/ Large aquifer-dependent irrigation systems ( Beauce (F), Castilla la Mancha (E),…)
Improving practices will not raise the annual water table level
(except by limitation of direct evaporation)because drainage due to excess irrigation recharges the aquifer
so in simply quantitative terms, waste water is not lost water
So how can we avoid a year after year lowering of the water table?
By ensuring that the water conservation equation works correctly at catchment level:
Global recharge must compensate losses
Global recharge must compensate losses
Recharge = D + Ru – Irr = Ғ(annual rainfall, climate(ETo) , {Cropping Systems} )
= β . (annual rainfall)
β << 1 (
in the long term, (1 – β) ~ Σ ETa / Σ R)
β >> 0 (
because aquifers feed springs)
« Crop models » providing
« environmental ouputs »:
Tools for estimating
water recharge versus rainfall
for a cropping system
under several soil& climate conditions
A systematic approach in the frame of a project
(CLIMATOR 2007-2010)
devoted to
«
the impact of Climate Change on agriculture
. (Production and Environment) »:
---
• 8 cropping systems
• On 12 locations in France
• Over 3 soils
• By using
at least two modelsfor each crop
• By means of climatic data for 3 periods of 30 years:
1970-2000 « recent Past » ( observed);
2020-2050 & 2070-2100, «near & far Future » (simulated).
Relationship between Recharge and annual Rainfall for Wheat (◊) and Sunflower (○)
in 12 locations in France
(from STICS model with observed climatic data from 1970-1999)
y = 0,6026x - 300,55 R2 = 0,7738 y = 1,1425x - 600,73
R2 = 0,8758
-100 0 100 200 300 400 500
0 200 400 600 800 1000
Rainfall (mm)
PERCOL (mm)
SUNFLOWER WHEAT
Relationship between Recharge and annual Rainfall for Sunflower (○)and irrigated Corn (∆)
for 12 locations in France
(from STICS model with observed climatic data from 1970-1999)
y = 0,8924x - 553,65 R2 = 0,6
y = 0,6026x - 300,55 R2 = 0,7738
-200 -100 0 100 200 300
0 200 400 600 800 1000
Rainfall (mm)
PERCOL (mm)
SUNFLOWER CORN
Percol en période A (Cerfacs sol1)
Wheat
Sunflower
Irrigated Corn
Vine Conifer Deciduous
Grass
-100 0 100 200 300 400 500
350 450 550 650 750 850 950
Pluie
recharge (Percol)
Annual rainfall(mm) Recharge (mm)
Annual recharge below some cropping systems Stics & Biljou(forest)
using observed climatological data (1970-1999)
Evolution of Recharge (PERCOL) with annual Rainfall for wheat and sunflower at several locations in France
●PA: 1970-1999 (observed climatic data) .
■PB: 2020-2049 .
(simulated c. data - Arpège, TT, Stics).
▲PC: 2070-2099 .
BB
y = 0.8826x - 408.75 R2 = 0.5838
0 50 100 150 200 250 300 350 400 450 500
0 200 400 600 800 1000
RR
PERCOL
Avignon Bordeaux Clermont Colmar Dijon Lusignan Mirecourt Mons Rennes StEtienne Toulouse Versailles Série5 Linéaire (Série5)
= PA = PB
∆∆∆∆= PC
TT
y = 0.6129x - 275.52 R2 = 0.7532
0 50 100 150 200 250 300 350 400
0 200 400 600 800 1000
RR
PERCOL
Avignon Bordeaux Clermont Colmar Dijon Lusignan Mirecourt Mons Rennes StEtienne Toulouse Versailles
= PA = PB
∆
∆
∆∆= PC
wheat
sunflower
03/11/2010 17
Decrease in water recharge (
∆Recharge) versus decrease in rainfall (
∆Rainfall) due to climate change
∆(Rainfall)
1:1
α<45°
Edaphic Drought:
” Drought”
Hydrologic Drought:
“Water scarcity”
∆Recharge
∆(ΣETa)
Decrease in water recharge
(∆Recharge)versus decrease in rainfall
(∆Rainfall) (Arpège,TT, Stics)Wheat – Sunflower
∆ Rainfall(mm)
∆Recharge (mm)
| ∆Recharge| > | ∆Rainfall /2 |
∆ X = X future– X past
Percol en période B (Cerfacs sol1)
y y y y y y y
-100 0 100 200 300 400 500
350 450 550 650 750 850 950
Pluie
recharge (Percol)
Recharge (mm)
Annual recharge below some cropping systems (2020-2049) Stics & Biljou using simulated data
Annual rainfall
Deciduous Vine Wheat Grass
Conifer Sunflower . Irrigated Corn
Conclusions for
« Large aquifer-dependent irrigation systems
• At catchment level, recharge depends on the combination of rainfed and irrigated systems
• The amount of water necessary to maintain the water table level will
determine the capability of irrigation in
terms of % of irrigated crops (acreage)
Some ideas to improve the recharge capacity
Increase the % area cultivated with rainfed crops
(obvious!!!)• Within irrigated crops,
increase the % area cultivated with deficit irrigated crops
(well known!!)• Within rainfed crops,
increase the % area cultivated with winter crops
River
(*)-dependent Irrigation systems
* (or associated aquifers)
• .
drainage ETa
Irrigation
Rain
River Reservoirs
Rivers or water tables associated with rivers
We are and we will be facing the question of
« time of irrigation »:Water demand is high while water supply is at a
minimum!
How can we improve water management at catchment basin level?
Two ways:
- Improving practices
- Changing cropping patterns
Rivers or water tables associated with rivers
Two reasons why a diversified
cropping system pattern improves
water management at catchment basin level:
1: The total amount of water demand decreases
2: Water demand is distributed
throughout the irrigation season
Irrigation water demand (total amount and time of occurrence) for irrigated Corn monocultureand a rotation ( iC, diW,rR,diW)
at 12 locations in France,(2020 – 2049, ARPEGE,TT,STICS )
MONOCULTURE
0 500 1000 1500 2000 2500 3000 3500 4000
Avignon Toulouse
StEtienne Lusignan
Colmar Dijon
Bordeaux Mons
Versailles Rennes
Clermont
m3 per 1 ha august
july april-june
FP
ROTATION
0 500 1000 1500 2000 2500 3000 3500 4000
Avignon Toulouse
StEtienne Dijon
Lusignan Colmar
Mons Versailles
Bordeaux Rennes
Clermont
m3 per 3 ha august
july april-june
FP
ROTATION
0%
20%
40%
60%
80%
100%
Avignon Toulouse
StEtienne Dijon
Lusignan Colmar
Mons Versailles
Bordeaux august
july april-june
FP
MONOCULTURE
0%
20%
40%
60%
80%
100%
Avignon Toulouse
StEtienne Lusignan
Colmar Dijon
Bordeaux Mons
Versailles august
jul y april-june
FP
Conclusion
Whatever the irrigation system, In addition to improving practices
It is worthwhile to improve the matching of cropping systems to water supply at
catchment level
Diversifying cropping systems will help:
- to equilibrate the annual water balance of large aquifers
- to better distribute water demand throughout
the year
Thank you for your attention
Climate change will produce a decrease in rainfall over French territory, especially in western France. Cropping systems pattern is a key factor
in water resources management at catchment basin level.
In the frame of the ANR French project “Climator”, we have undertaken an analysis of the relationship between rainfall and the annual supply of water to the aquifers under several cropping systems and ecosystems.
This was performed through crop modelling using agroclimatic data provided either by measurements at 12 experimental sites in France (1971-2000) or by using regionalised outputs of the French climatological model Arpege (2021-2050 and 2071-2100). The simulations highlight the important differences in aquifers recharge between cropping systems
(rainfed vsirrigated but also winter vsspring crops and annual crops vsperennial vegetation). For the 12 sites, they also give an estimate of the decrease with time of the annual recharge under each cropping system (at least 2/3 of rain decrease). In the driest locations, that decrease may lead to a partial change in cropping systems pattern in order to match the total water demand at catchment level.
Such change could be devoted either to increase annual recharge when irrigation water is pumped from large aquifers or to reduce summer water demand when irrigation water comes from rivers.
Both cases are illustrated.
Matching supply to irrigation demand?
or ……….irrigation demand to supply?
1- Matching supply to demand
(when it is possible: dams, …)
2- Matching demand to supply
- either by reducing water provided to crops and improving cultural practices
- or by reducing the water demand at
catchment level by changing the cropping
system
Irrigation water demand (total amount and time of occurrence) for irrigated Corn monoculture and a rotation ( iC, diW,rR,diW)
at 12 locations in France,(1970 – 1999, STICS )
MONOCULTURE
0 500 1000 1500 2000 2500 3000 3500 4000
Avignon Toulouse
Dijon Lusignan
Colmar StEtienne
Bordeaux Versailles
Rennes Mons
Clermont
m3 per 1 ha august
july april-june
PR
ROTATION
0 500 1000 1500 2000 2500 3000 3500 4000
Avignon Toulouse
Dijon Lusignan
StEtienne Colmar
Bordeaux Rennes
Versailles Mons
Clermont
m3 per 3 ha august
jul y april-june
PR
ROTATION
0%
20%
40%
60%
80%
100%
Avignon Toulouse
Dijon Lusignan
StEtienne Colmar
Bordeaux Rennes
Versailles august
july april-june
PR
MONOCULTURE
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Avignon Toulouse
Dijon Lusignan
Colmar StEtienne
Bordeaux Versailles august
july april-june
PR
Irrigation water demand (total amount and time of occurrence) for irrigated Corn monocultureand a rotation ( iC, diW,rR,diW)
at 12 locations in France,(2020 – 2049, ARPEGE,TT,STICS )
MONOCULTURE
0 500 1000 1500 2000 2500 3000 3500 4000
Avignon Toulouse
StEtienne Lusignan
Colmar Dijon
Bordeaux Mons
Versailles Rennes
Clermont
m3 per 1 ha august
july april-june
FP
ROTATION
0 500 1000 1500 2000 2500 3000 3500 4000
Avignon Toulouse
StEtienne Dijon
Lusignan Colmar
Mons Versailles
Bordeaux Rennes
Clermont
m3 per 3 ha august
july april-june
FP
ROTATION
0%
20%
40%
60%
80%
100%
Avignon Toulouse
StEtienne Dijon
Lusignan Colmar
Mons Versailles
Bordeaux august
july april-june
FP
MONOCULTURE
0%
20%
40%
60%
80%
100%
Avignon Toulouse
StEtienne Lusignan
Colmar Dijon
Bordeaux Mons
Versailles august
jul y april-june
FP