1 ammonia and water fluxes modelling over agricultural plots gianfranco rana cra – unità di...
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AMMONIA AND WATER FLUXES MODELLING OVER
AGRICULTURAL PLOTS
Gianfranco Rana
CRA – Unità di ricerca per i Sistemi Colturali degli Ambienti caldo aridi, CRA – Unità di ricerca per i Sistemi Colturali degli Ambienti caldo aridi, BariBariINRA – Unité Mixte Recherche Environnement et Grandes Cultures, INRA – Unité Mixte Recherche Environnement et Grandes Cultures, GrignonGrignon, ,
FranceFrance
AMMONIA AND WATER FLUXES MODELLING OVER
AGRICULTURAL PLOTS
AMMONIA AND WATER FLUXES MODELLING OVER
AGRICULTURAL PLOTS
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Summary
• “FIDES 3D”– Transport model– The sources and the sinks of ammonia
• “Volt’air”– Mechanistic model– Ammonia volatilization
• Water fluxes– A review on the reference evapotranspiration
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Problems with NH3 sampling and flux measure
Tendence to make strong hydrogen link with H2O
Adsorbment and memory effect
Punctual sources, spatial variability
Time variability
Dispersion, possible minimum deposition
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NH3 volatilization from agricultural system
It dipends on (Sommer et al., 2003): NH4
+ concentration
Temperature, solar radiation, wind speed, rain, air humidity … Turbolent transport pH Evaporation rate, dew Soil type, soil moisture Application techniques
The process: NH3 transfert from nitrogen liquid solution to the air in contactN applied losses: Urea: 10-25%; Slurry: > 60%
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FIDES3D: Flux Interpretation by Dispersion and
Exchange over Short range in three Dimensions Loubet et al., 2001; Loubet et al., 2010
HypothesisHypothesis Advection-diffusion equation (Philip, 1959) Power laws for wind speed and vertical diffusivity profiles (Huang, 1979) No chimical reactions in atmosphere and surface
Inputs:Inputs:• Turbulence of atmosphere
• Concentration of NH3 at background and level z
• Fetch, geometrical properties of the source
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Superposing principleSuperposing principleIt relates the concentration of scalar in a point of the field to the source strength in another point (Raupach, 1989; Thompson, 1998)
Principles
sy
xCzyxC, xall
sssssss bgd
s
dx )z ,y , x| zy,D(x, )z ,y ,(S ),,(
Source strength in (xs, ys,zs): function of Rb(u*, B) e Cc
Dispersion Function
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Surface/air NH3 exchange
• The resistance analogy approach a stomatal pathway a cuticular pathway
b
czsssss R
CzyxCzyxS
,,,,
Ammonia has a canopy compensation point =concentration value for which the flux is zero
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Set-up
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Final considerations on FIDES3D
• the following input are needed: (1) the NH3 air concentration at least at one height above the
surface(2) the background concentration(3) the standard micrometeorological variables acquired usually by
a sonic anemometer(4) the dimension of the local source along the wind direction and
the fetch where the NH3 is measured • From the computational point of view
– the cuticular resistance Rw and the strength Ss are considered as unknown and they are inferred with a standard iterative method using the classical Netwon-Raphton technique
– once Rw and Ss are calculated the advection flux Fa of ammonia is estimated by a numerical integration of the advection-dispersion equation
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Volt’air (Génermont and Cellier, 1997)
Ammonia volatilization from the surfaceAmmonia volatilization from the surfaceVan der Molen et al. (1990)Van der Molen et al. (1990)
Transfer of ammonia from the surface toward the Transfer of ammonia from the surface toward the atmosphereatmosphere
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Starting hypothesis
Urea is converted to ammoniacal nitrogen and carbonate within a few hours after application
The simulation takes place for a short period (week), thus nitrogen transformations by organic matter mineralization, ammoniacal uptake by the plants, oxidation and/or nitrification are not taken into account for
The mineralization of the organic nitrogen from the slurry is considered to be negligible
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• The flux of ammonia is bidirectional and the source is not known a priori
• Model of local advection (Itier and Perrier, 1976)• Change in the surface flux as a function of the
distance from the leading edge in the wind direction (fetch) and the difference in the surface concentration for an abrupt change in the surface concentration
• The flux of ammonia is bidirectional and the source is not known a priori
• Model of local advection (Itier and Perrier, 1976)• Change in the surface flux as a function of the
distance from the leading edge in the wind direction (fetch) and the difference in the surface concentration for an abrupt change in the surface concentration
ib
NHia z
XkuaF
0
* 3.03
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Inputs: 1. general informationInputs: 1. general information
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Inputs: 2. agricultural practicesInputs: 2. agricultural practices
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Inputs: 3. soil hydraulic properties
Inputs: 3. soil hydraulic properties
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Inputs: 4. physical and chemical properties
Inputs: 4. physical and chemical properties
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Inputs: 5. SoilInputs: 5. Soil
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Inputs: 6. MeteorologyInputs: 6. Meteorology
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Landriano (45° 18‘; 9° 15' E) (Università di Milano)
Field ~ 4 ha bare soil
27-31 March 2009
Surface spreading of cow slurry, filling after 24 h
~184 kgN ha-1 ~93 kgN-NH4+ ha-1
Slurry spreadingSlurry spreading
15 cm
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0
5
10
15
20
25
30
35
26.03.200918:22
27.03.200909:30
28.03.200900:30
28.03.200915:30
29.03.200907:30
29.03.200922:30
30.03.200913:30
time
NH
3 fl
ux
1.45
m (m g
/m2s)
FIDES EDDY
NHNH3 3 Flux by FIDES3DFlux by FIDES3D
Soil filling
Start spreading
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Rutigliano (CRA-SCA Bari)
17-29 July 2008
Grain Sorghum (~ 2 ha)
Urea application: 30 kgN ha-1 (01/07/2008) 90 kgN ha-1 (16/07/2008) 120 kgN ha-1 (22/07/2008)
Irrigation by aspersion
Urea spreadingUrea spreading
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NH3 Flux by FIDES3DNH3 Flux by FIDES3D
0
1000
2000
3000
4000
5000
6000
22.07.200801:01
23.07.200805:01
24.07.200809:01
25.07.200813:01
26.07.200817:01
27.07.200821:01
29.07.200801:01
Date
NH
3 F
luxe
s (n
g/m
2s)
EC (1.3 m) Emiss FIDES F QC corrTF mia del 170111 (no phase shift) EC_corr Tfexp lim dx0.5
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Cumulate valuesCumulate values
0 48 96 144 192 240 288 336Hours after spreading
0
0.2
0.4
0.6
0.8
1N
orm
aliz
ed
NH
3 lo
sses
T-I: s lurryT-II: urea
last urea spreading andirrigation
slurry/urea spreading
slurryincorporation
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WATER FLUXES
Katerji, N., Rana, G., 2011. Crop reference evapotranspiration: a discussion of the concept, analysis of the process and validation. Water Resources Management, on line since 5 January 2011.
DOI 10.1007/s11269-010-9762-1
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Analisi teorica e fisica dellAnalisi teorica e fisica dell’’evaporazioneevaporazione
• Penman (1946): evaporazione da superficie di acqua libera
• Monteith (1963-1965): evapotraspirazione da una coltura teorica
• Thom (1975-1978): formalizzazione della resistenza aerodinamica
• Perrier (1975-1983): evapotraspirazione da una coltura reale
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Evaporazione potenziale (Penman)
ap
p
rDcAE
•Nessun controllo biologico da parte di una eventuale coltura•Nessun controllo dovuto alla struttura di una eventuale coltura•Può rappresentare bene la domanda evaporativa dell’atmosfera
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Evaporazione potenziale di una coltura (Perrier)
a
pcp
rr
EE
01
Una coltura con acqua sempre disponibile oppone solo una resistenza dovuta alla sua struttura
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pcp EE
Crop Height Climatic conditions
r0
Grass 0.1 Normal 0-5
Bean 0.4 Normal 5-10
Maize 0.6 Normal 10-15
Maize 2.2 Normal 20-30
Wheat 0.2 Weak demand 0
Wheat 0.4 Weak demand 6
Wheat 0.6 Weak demand 10
Wheat 0.2 Normal 5
Wheat 0.4 Normal 10
Wheat 0.6 Normal 20
-Situazione teorica-Solo dopo una pioggia o rugiadao irrigazione per aspersione-Le due quantità possono essere uguali per il prato in particolari condizioni
Evaporazione potenziale di una coltura (Perrier)
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Evapotraspirazione (Monteith)
a
c
p
sc
rr
EE
rrr
1
0
Se non vi è nessuna saturazione a nessun livello allora la coltura oppone una resistenza biologica: la resistenza colturale
Questa varia tra un minimo, quando la coltura è in buone condizioni idriche e un massimo quando è completamente secca
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Relazioneresistenza stomatica/resistenza colturale
Monteith et al. (1965)
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SintesiPenman -> Perrier -> Monteith
pcp EEE
-Situazione teorica-Solo dopo una pioggia o rugiada o irrigazione per aspersione-Le due quantità possono essere uguali per il prato in particolari condizioni
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, ρ, γ, cp quasi constanti
• A, energia disponibile = Rn-G
– Rn, radiazione netta
– G, flusso di calore nel suolo
• D, deficit di pressione di vapore
• ra, resistenza aerodinamica
• rc, resistenza colturale
ac
ap
rr
rDcAE
1
Modello di Penman-Monteith versione Perrier
Le misure dovrebbero esser fatte Le misure dovrebbero esser fatte SULLA COLTURASULLA COLTURA
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Prato di riferimento
• Ben irrigato• Ben concimato• 10 - 15 cm• Esteso • Solo una specie (lolium
perenne L.)
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Penman-Monteith FAO56
• ET0 calcolata sopra un prato di riferimento• Scala temporale
– Cn=37 e Cp=0.24– Cn=900 e Cp=0.34
2
2
0 1273
408.0
uC
DuT
CGR
ETp
nn
Resistenza colturale costanteResistenza colturale costante
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TomatoGrass
Soybean
Sunflower Sweet sorghum
Grain sorghum
Emod=0.61 Em+2.06 R2=0.55
Emod=0.80 Em+0.73 R2=0.77
Emod=0.92 Em+0.27 R2=0.40
Emod=0.98 Em R2=0.55
Emod=0.78 Em+0.30 R2=0.94
Emod=0.64 Em+1.69 R2=0.77
ET
FA
O 5
6 (m
m d
-1)
ET measured (mm d-1)0 4 8
0
4
8
0 4 8
0
4
8
0
4
8
FAO 56 DAILY SCALE
LA I>2
LA I<=2
TomatoGrass
Soybean
Sunflower Sweet sorghum
Grain sorghum
Emod=0.61 Em+2.06 R2=0.55
Emod=0.80 Em+0.73 R2=0.77
Emod=0.92 Em+0.27 R2=0.40
Emod=0.98 Em R2=0.55
Emod=0.78 Em+0.30 R2=0.94
Emod=0.64 Em+1.69 R2=0.77
ET
FA
O 5
6 (m
m d
-1)
ET measured (mm d-1)0 4 8
0
4
8
0 4 8
0
4
8
0
4
8
FAO 56 DAILY SCALE
LA I>2
LA I<=2
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effc
c
sc
LAIr
LAIr
LAI
rr
1005.0
100
min,
rrcc=70 s/m=70 s/m
rrcc=50 s/m=50 s/m
Storia della resistenza colturale costante per un prato Allen et al., (1989; 1994; 1998; 2006)
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Monteith, J.L., 1965. Evaporation and the environment. XIXth Symposia of the Society for
Experimental Biology. In the State and Movement of Water in Living Organisms. University Press,
Swansea, Cambridge, pp. 205–234
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J. Appl. Ecology, 1965*Rothamsted, UK
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Pubblicazioni1. Katerji, N., Rana, G., Mastrorilli, M., 2010. Modelling of actual evapotranspiration in open top
chambre (OTC) at daily and seasonal scale: Multiannual validation on soybean in contrasted conditions of water stress and air ozone concentration. European Journal of Agronomy, 33, 218-230
2. Rana, G., Katerji, N., Ferrara, R., Martinelli, N., 2010. An operational model to estimate hourly and daily crop evapotranspiration in hilly terrain: validation on wheat and oat crops. Theoretical and Applied Climatology (on line, under press)
3. Katerji, N., Rana, G., Fahed, S., 2010. Parameterizing canopy resistance using mechanistic and semi-empirical estimates of hourly evapotranspiration: critical evaluation for irrigated crops in the Mediterranean. Hydrological Processes (on line, under press)
4. Loubet, B., Gènermont, S., Ferrara, R., Bedos, C., Decuq, C., Personne, E., Fanucci, O., Durand, B., Rana, G., Cellier, P., 2010. An inverse model to estimate ammonia emissions from fields. Eur. J. Soil Sci (on line, under press)
5. Katerji, N., Rana, G., 2011. Crop reference evapotranspiration: a discussion of the concept, analysis of the process and validation. Water Resources Management, (on line, under press).
6. R. M. Ferrara, B. Loubet, P. Di tommasi, T. Bertolini, V. Magliulo, P. Cellier, G. Rana. Evaluation of eddy covariance measurement of ammonia fluxes with a Quantum Cascade Tunable Infrared Laser Differential Absorption Spectrometer (QC-TILDAS) (in preparazione).
7. R. M. Ferrara, B. Loubet, P. D. Palumbo, V. Magliulo, G. Rana. Dynamic of ammonia volatilization over sorghum fertilized under Mediterranean conditions (in preparazione).
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