SlideShare uma empresa Scribd logo
1 de 18
Baixar para ler offline
1
Modeling reactive solute transport
coupled with flow in Cathy :
preparatory work.
Laura Gatel (Irstea Lyon, France)
23 septembre 2015
2
Context
Flow and solute pathways in agricultural hillsopes are complex to
precisly caracterize, particularly for what concerns surface/subsurface
exchanges and lateral transfers.
Modelisation can help, and in order to obtain accurate results on those
kind of domains, the use of a physically-based model is required.
Study site at the Morcille
catchment (Beaujolais)
First work centered on vagatative buffer strip zones :
Those areas are a way to limit solute transfers from the field
to aquatic environments and particularly activ for what
concerns water infiltration.
→ About the influence of soil heterogeneity on surface and
subsurface flow
Example of 3 saturated conductivity statistical fields
Generation of statistical fields with variable
characteristics (correlation, enforcement
with measured conductivity values, ... )
Comparison of the runoff and
subsurface patways with field
data on three events
→ Results are very sensitive to the conductivity dictributions
→ Generated hydrodynamic parameters with enforcement are quite close to data
→ Need to take into account microtopography
3
Objectives
3-years PhD objectives :
● To develop a coupled surface / surbsurface flow and solute reactive transport model in 3D
based on the Cathy model.
● Validate the model at the hillslope scale with a global sensitivity analysis and the comparison
with field data (large database from Irstea Lyon on two hillslopes of the Morcille catchment,
Beaujolais, France)
● Upscaling from hillslope to catchment
INRS summer 2015 session obectives :
● Merge a calculation flow model and a reactive transport model
● Compare the results of this new model with two litterature examples and control the mass
balance.
4
Existing tools
Cathy flow
Coupled subsurface flow (FLOW3D)
and surface routing
(SURF_ROUTE) model
Variably saturated flow
3D
subsurface calculation : finite
elements (FLOW3D)
Tran3d
Solute transport model with decay
and linear sorption
Variably saturated flow
3D
Advection, sorption and decay
resolved with finite elements
BUT no flow calculation
→ steady state cases only
5
Context
Flow and solute pathways in agricultural hillsopes are complex to
precisly caracterize, particularly for what concerns surface/subsurface
exchanges and lateral transfers.
Modelisation can help, and in order to obtain accurate results on those
kind of domains, the use of a physically-based model is required.
Study site at the Morcille
catchment (Beaujolais)
First work centered on vagatative buffer strip zones :
Those areas are a way to limit solute transfers from the field
to aquatic environments and particularly activ for what
concerns water infiltration.
→ About the influence of soil heterogeneity on surface and
subsurface flow
Example of 3 saturated conductivity statistical fields
Generation of statistical fields with variable
characteristics (correlation, enforcement
with measured conductivity values, ... )
Comparison of the runoff and
subsurface patways with field
data on three events
→ Results are very sensitive to the conductivity dictributions
→ Generated hydrodynamic parameters with enforcement are quite close to data
→ Need to take into account microtopography
6
Method
- Two study cases from the
literature (Gureghian 1983
and Huyakorn et al. 1985)
Merging of the two models
Validation
Application to a real hillslope
(Beaujolais, France)
Massbalance
calculation
7
Merging of the two model
Merged model
- Initialisation of surface and flow calculation
- Initialisation of reactive transport calculation
Beginning of the time loop
- Surface flow calculation
- Subsurface flow calculation
Backstepping if necessary
- Reactive transport calculation (only one
resolution for advection, sorption and decay)
End of the time loop
Tran3d :
- Initialisation of reactive transport calculation
- Integration of steady-state results
Beginning of the time loop
- Reactive transport calculation (only one
resolution for advection, sorption and decay)
End of the time loop
Cathy flow :
- Initialisation of surface and flow calculation
Beginning of the time loop
- Surface flow calculation
- Subsurface flow calculation
End of the time loop
At each time step, reactive transport calculation is based on the flow
calculation results : the merging allows the study of no-steady state cases
● At each step, flow and transport are calcultated with the same Δt (if necessary, backsteping occurs after
subsurface flow and before transport)
● Surface transport isn't take into account.
8
Validation
Test case 1 (Huyakorn et al. 1985) : case description
Transport of non-conservative solute in a unsaturated soil.
3D mesh as modelised in the merged model
(surface of 10 cm * 15 cm and 10 cm deep)
with steady-state pressure in the domain.
Boundary conditions used for the test case.
2D mesh (15 cm wide and 10 cm deep).
Reactive transport :
Dispersion αL
= 1 cm αT
= 0
Diffusion 0,01 cm²/d
Sorption Rd = 2
Decay 0,001 d-1
9
Validation
Tran3d
Mergedmodel
0,053 d (1 h 15 min)0,165 d (4 h) 0,508 d (12 h)
Test case 1 (Huyakorn et al. 1985) : results
Concentration contours
Mass balance :
For each time step of this run, mass balance
error stayed between 0,01 % and 1 %
10
Validation
Vertical concentration
profiles at x = 3 cm and
three different times
Horizontal concentration
profiles at z = 10 cm and
three different times
t = 0,053 d
t = 0,165 d
T = 0,508 d
Tran3dMerged model
Test case 1 (Huyakorn et al. 1985) : results
Relative concentration
11
Validation
Test case 2 (Gureghian 1983) : case description
Flow and transport in a ditch-drained aquifer with incident steady rainfall and infiltration of solute
3D mesh as modelised in the merged model
(surface of 10 cm * 15 cm and 10 cm deep)
with steady-state pressure in the domain.
→ 176 nodes for the plan (XZ)
Boundary conditions used for the test case.
2D mesh ( 100 cm wide and 50 cm deep).
→ 176 nodes
The mesh is not exactly reproduced, because
Cathy flow does not allow unregular mesh.
Reactive transport :
Dispersion αL = 0,5 cm αT = 0,1 cm
Diffusion 1e-5 cm²/d
Sorption -
Decay -
12
Validation
Test case 2 (Gureghian 1983) : results
Concentration contours
Tran3dCombined model
15 days
45 days
13
Validation
Test case 2 (Gureghian 1983) : results
Concentration contours
Tran3dMerged model
→ Little differences observed between tran3d and merged model results in the shape of the non-zero
concentration zone.
In this case, the slightly different used mesh could explain this variations.
90 days
120 days
14
Validation
Test case 2 (Gureghian 1983) : results
Mass balance
Inside mass
Entering mass
Exiting mass
d = 15
Solute infiltartion stops
d ~ 70
Solute shape reaches
seepage faces
If we continue the run until 600 d ...
15
Discussion
Even if there is little unexplained differences in the results of case 1, and inconsistent mass
balance for seepage faces, the coupled model gives good results on those two simple examples.
But in other situations, when concentration evolutions are less « smooth » (less or no dispersion
or diffusion for example), the model becomes unstable and the user have to carrefully choose the
time stepping to avoid concentration explosions.
→ It will not be enough stable to modelise complex hillslopes caracterized by important
heterogeneity (with no string conditions on mesh or time steps)
Solution : separate advection and reaction parts and calculate advection as finite volumes (see
S. Weill et al. 2011).
16
Perspectives
Short-term objective :
From the last version of Cathy with non-reactive transport (probably Carlotta's
version with velocity fields reconstruction), integrate sorption and decay equations.
Construction scheme of the last version of transport on Cathy :
Initialisation
Beginning of the time loop
Surface flow
Surface transport
Subsurface flow
Subsurface transport
- advective part → finite volume
- reactive part (for now, only dffusion and dispersion) → finite elements
End of the time loop
Addition of linear sorption
and first order decay
17
Perspectives
Mid-term objective :
● Validation :
1- Apply the new model to a hillslope (Morcille's
catchment, Beaujolais). The site is instrumented since more
than a decade → a large database to compare with the model.
2- Global sensitivity analysis
• Upscaling :
Apply the model to the entire Morcille catchment
and compare results with actual data (all in all 3
sites instrumented sites on the catchment).
Rabiet et al. (2015)
Boivin(2007)
St-Joseph site on the Morcille Catchment
18
Thank you for your attention !
References :
Camporese M., Paniconi C., Putti M., and Orlandini S. (2010). Surface and subsurface flow modeling with path-based runoff routing, boundary
condition-based coupling, and assimilation of multisource observation data. Water Resources Research, 46(2).
Gambolati G., Pini G., Putti M. and Paniconi C. (1994). Finite element modeling of the transport of reactive contaminants in variably saturated soils
with LAE and non LEA sorption. Environmental Modeling vol. 2, ch. 7, pp. 173-212.
Paniconi C., Wood E. (1983). A detailed model for simulation of catchment scale subsurface hydrologic processes. Water resources Research,
29(6):1601-1620.
Weill S., Mazzia A., Putti., Paniconi C. (2011). Coupling water flow and solute transport into a physically-based surface-subsurface hydrological
model. Advances in Water Resources vol 34, pp 128-136.

Mais conteúdo relacionado

Mais procurados

Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...
Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...
Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...
Putika Ashfar Khoiri
 
Hydrological Modelling of Slope Stability
Hydrological Modelling of Slope StabilityHydrological Modelling of Slope Stability
Hydrological Modelling of Slope Stability
Grigoris Anagnostopoulos
 
Non equilibrium equation for unsteady radial flow
Non equilibrium equation for unsteady radial flowNon equilibrium equation for unsteady radial flow
Non equilibrium equation for unsteady radial flow
Abhishek Gupta
 

Mais procurados (20)

Adige modelling
Adige modellingAdige modelling
Adige modelling
 
Alfonso Senatore
Alfonso SenatoreAlfonso Senatore
Alfonso Senatore
 
Assessing Uncertainty of Time Lapse Seismic Response Due to Geomechanical Def...
Assessing Uncertainty of Time Lapse Seismic Response Due to Geomechanical Def...Assessing Uncertainty of Time Lapse Seismic Response Due to Geomechanical Def...
Assessing Uncertainty of Time Lapse Seismic Response Due to Geomechanical Def...
 
A travel time model for estimating the water budget of complex catchments
A travel time model for estimating the water budget of complex catchmentsA travel time model for estimating the water budget of complex catchments
A travel time model for estimating the water budget of complex catchments
 
Research reproducibility - Code etc.
Research reproducibility - Code etc.Research reproducibility - Code etc.
Research reproducibility - Code etc.
 
20 Years and 20Mt, Statoil Storage Experience, Andrew Cavanagh - Geophysical ...
20 Years and 20Mt, Statoil Storage Experience, Andrew Cavanagh - Geophysical ...20 Years and 20Mt, Statoil Storage Experience, Andrew Cavanagh - Geophysical ...
20 Years and 20Mt, Statoil Storage Experience, Andrew Cavanagh - Geophysical ...
 
Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...
Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...
Improving Distributed Hydrologocal Model Simulation Accuracy Using Polynomial...
 
Sylvain Weill
Sylvain WeillSylvain Weill
Sylvain Weill
 
Damiano Pasetto
Damiano PasettoDamiano Pasetto
Damiano Pasetto
 
radial flow pumping test
radial flow pumping testradial flow pumping test
radial flow pumping test
 
6 reservoirs&Graphs
6 reservoirs&Graphs6 reservoirs&Graphs
6 reservoirs&Graphs
 
Benettin ph.d. days presentation
Benettin ph.d. days presentationBenettin ph.d. days presentation
Benettin ph.d. days presentation
 
Modelling variably saturated flow using cellular automata
Modelling variably saturated flow using cellular automataModelling variably saturated flow using cellular automata
Modelling variably saturated flow using cellular automata
 
Atmospheric Chemistry Models
Atmospheric Chemistry ModelsAtmospheric Chemistry Models
Atmospheric Chemistry Models
 
Hydrological Modelling of Slope Stability
Hydrological Modelling of Slope StabilityHydrological Modelling of Slope Stability
Hydrological Modelling of Slope Stability
 
Non equilibrium equation for unsteady radial flow
Non equilibrium equation for unsteady radial flowNon equilibrium equation for unsteady radial flow
Non equilibrium equation for unsteady radial flow
 
C04651725
C04651725C04651725
C04651725
 
Carlotta Scudeler
Carlotta ScudelerCarlotta Scudeler
Carlotta Scudeler
 
Geotechnical Engineering-I [Lec #18: Consolidation-II]
Geotechnical Engineering-I [Lec #18: Consolidation-II]Geotechnical Engineering-I [Lec #18: Consolidation-II]
Geotechnical Engineering-I [Lec #18: Consolidation-II]
 
Implementing a travel time model for the Adige River: the case of Jgrass-NewAGE
Implementing a travel time model for the Adige River: the case of Jgrass-NewAGEImplementing a travel time model for the Adige River: the case of Jgrass-NewAGE
Implementing a travel time model for the Adige River: the case of Jgrass-NewAGE
 

Semelhante a Laura Gatel

ODDLS: Overlapping domain decomposition Level Set Method
ODDLS: Overlapping domain decomposition Level Set MethodODDLS: Overlapping domain decomposition Level Set Method
ODDLS: Overlapping domain decomposition Level Set Method
Aleix Valls
 
soil moisture retrieval.pptx
soil moisture retrieval.pptxsoil moisture retrieval.pptx
soil moisture retrieval.pptx
grssieee
 
soil moisture retrieval.pptx
soil moisture retrieval.pptxsoil moisture retrieval.pptx
soil moisture retrieval.pptx
grssieee
 
Jwrhe10065 20150204-144509-1366-46826
Jwrhe10065 20150204-144509-1366-46826Jwrhe10065 20150204-144509-1366-46826
Jwrhe10065 20150204-144509-1366-46826
yimer mulate
 
A distributed physically based model to predict timing and spatial distributi...
A distributed physically based model to predict timing and spatial distributi...A distributed physically based model to predict timing and spatial distributi...
A distributed physically based model to predict timing and spatial distributi...
Grigoris Anagnostopoulos
 

Semelhante a Laura Gatel (20)

Numerical study on free-surface flow
Numerical study on free-surface flowNumerical study on free-surface flow
Numerical study on free-surface flow
 
Unsaturated hydraulic conductivity of soil
Unsaturated hydraulic conductivity of soilUnsaturated hydraulic conductivity of soil
Unsaturated hydraulic conductivity of soil
 
08 modelli idraulici_colata_en
08 modelli idraulici_colata_en08 modelli idraulici_colata_en
08 modelli idraulici_colata_en
 
ODDLS: Overlapping domain decomposition Level Set Method
ODDLS: Overlapping domain decomposition Level Set MethodODDLS: Overlapping domain decomposition Level Set Method
ODDLS: Overlapping domain decomposition Level Set Method
 
Final-Thesis-present.pptx
Final-Thesis-present.pptxFinal-Thesis-present.pptx
Final-Thesis-present.pptx
 
Implementation of a Finite Element Model to Generate Synthetic data for Open ...
Implementation of a Finite Element Model to Generate Synthetic data for Open ...Implementation of a Finite Element Model to Generate Synthetic data for Open ...
Implementation of a Finite Element Model to Generate Synthetic data for Open ...
 
Hydrological Modelling of Shallow Landslides
Hydrological Modelling of Shallow LandslidesHydrological Modelling of Shallow Landslides
Hydrological Modelling of Shallow Landslides
 
DSD-INT 2017 Vegetated Flow Simulation using Delft3D for a Large-scale Outdoo...
DSD-INT 2017 Vegetated Flow Simulation using Delft3D for a Large-scale Outdoo...DSD-INT 2017 Vegetated Flow Simulation using Delft3D for a Large-scale Outdoo...
DSD-INT 2017 Vegetated Flow Simulation using Delft3D for a Large-scale Outdoo...
 
Swat & modflow
Swat & modflowSwat & modflow
Swat & modflow
 
240708
240708240708
240708
 
VS2D Tutorial - Unsaturated/ Vadose zone transient flow simulation
VS2D Tutorial - Unsaturated/ Vadose zone transient flow simulationVS2D Tutorial - Unsaturated/ Vadose zone transient flow simulation
VS2D Tutorial - Unsaturated/ Vadose zone transient flow simulation
 
Applying the “abcd” monthly water balance model for some regions in the unite...
Applying the “abcd” monthly water balance model for some regions in the unite...Applying the “abcd” monthly water balance model for some regions in the unite...
Applying the “abcd” monthly water balance model for some regions in the unite...
 
Groundwater Quality Modelling using Coupled Galerkin Finite Element and Modif...
Groundwater Quality Modelling using Coupled Galerkin Finite Element and Modif...Groundwater Quality Modelling using Coupled Galerkin Finite Element and Modif...
Groundwater Quality Modelling using Coupled Galerkin Finite Element and Modif...
 
SImulating Past Flood Event using Nays 2D Flood
SImulating Past Flood Event using Nays 2D FloodSImulating Past Flood Event using Nays 2D Flood
SImulating Past Flood Event using Nays 2D Flood
 
soil moisture retrieval.pptx
soil moisture retrieval.pptxsoil moisture retrieval.pptx
soil moisture retrieval.pptx
 
soil moisture retrieval.pptx
soil moisture retrieval.pptxsoil moisture retrieval.pptx
soil moisture retrieval.pptx
 
Jwrhe10065 20150204-144509-1366-46826
Jwrhe10065 20150204-144509-1366-46826Jwrhe10065 20150204-144509-1366-46826
Jwrhe10065 20150204-144509-1366-46826
 
velocity distribution in diverging Channel.pptx
velocity distribution in diverging Channel.pptxvelocity distribution in diverging Channel.pptx
velocity distribution in diverging Channel.pptx
 
The Effect of Geometry Parameters and Flow Characteristics on Erosion and Sed...
The Effect of Geometry Parameters and Flow Characteristics on Erosion and Sed...The Effect of Geometry Parameters and Flow Characteristics on Erosion and Sed...
The Effect of Geometry Parameters and Flow Characteristics on Erosion and Sed...
 
A distributed physically based model to predict timing and spatial distributi...
A distributed physically based model to predict timing and spatial distributi...A distributed physically based model to predict timing and spatial distributi...
A distributed physically based model to predict timing and spatial distributi...
 

Último

COMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demeritsCOMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demerits
Cherry
 
CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptx
Cherry
 
Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.
Cherry
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.
Cherry
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
MohamedFarag457087
 
ONLINE VOTING SYSTEM SE Project for vote
ONLINE VOTING SYSTEM SE Project for voteONLINE VOTING SYSTEM SE Project for vote
ONLINE VOTING SYSTEM SE Project for vote
RaunakRastogi4
 
Module for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learningModule for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learning
levieagacer
 

Último (20)

COMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demeritsCOMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demerits
 
Cyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptxCyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptx
 
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
 
CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptx
 
TransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRings
TransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRingsTransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRings
TransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRings
 
Kanchipuram Escorts 🥰 8617370543 Call Girls Offer VIP Hot Girls
Kanchipuram Escorts 🥰 8617370543 Call Girls Offer VIP Hot GirlsKanchipuram Escorts 🥰 8617370543 Call Girls Offer VIP Hot Girls
Kanchipuram Escorts 🥰 8617370543 Call Girls Offer VIP Hot Girls
 
Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.
 
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxUse of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptx
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.
 
Factory Acceptance Test( FAT).pptx .
Factory Acceptance Test( FAT).pptx       .Factory Acceptance Test( FAT).pptx       .
Factory Acceptance Test( FAT).pptx .
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
 
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIACURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
 
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
 
BHUBANESHWAR ODIA CALL GIRL SEIRVEC ❣️ 72051//37929❣️ CALL GIRL IN ODIA HAND ...
BHUBANESHWAR ODIA CALL GIRL SEIRVEC ❣️ 72051//37929❣️ CALL GIRL IN ODIA HAND ...BHUBANESHWAR ODIA CALL GIRL SEIRVEC ❣️ 72051//37929❣️ CALL GIRL IN ODIA HAND ...
BHUBANESHWAR ODIA CALL GIRL SEIRVEC ❣️ 72051//37929❣️ CALL GIRL IN ODIA HAND ...
 
ONLINE VOTING SYSTEM SE Project for vote
ONLINE VOTING SYSTEM SE Project for voteONLINE VOTING SYSTEM SE Project for vote
ONLINE VOTING SYSTEM SE Project for vote
 
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxGenome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptx
 
Module for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learningModule for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learning
 
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
 
Site specific recombination and transposition.........pdf
Site specific recombination and transposition.........pdfSite specific recombination and transposition.........pdf
Site specific recombination and transposition.........pdf
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learning
 

Laura Gatel

  • 1. 1 Modeling reactive solute transport coupled with flow in Cathy : preparatory work. Laura Gatel (Irstea Lyon, France) 23 septembre 2015
  • 2. 2 Context Flow and solute pathways in agricultural hillsopes are complex to precisly caracterize, particularly for what concerns surface/subsurface exchanges and lateral transfers. Modelisation can help, and in order to obtain accurate results on those kind of domains, the use of a physically-based model is required. Study site at the Morcille catchment (Beaujolais) First work centered on vagatative buffer strip zones : Those areas are a way to limit solute transfers from the field to aquatic environments and particularly activ for what concerns water infiltration. → About the influence of soil heterogeneity on surface and subsurface flow Example of 3 saturated conductivity statistical fields Generation of statistical fields with variable characteristics (correlation, enforcement with measured conductivity values, ... ) Comparison of the runoff and subsurface patways with field data on three events → Results are very sensitive to the conductivity dictributions → Generated hydrodynamic parameters with enforcement are quite close to data → Need to take into account microtopography
  • 3. 3 Objectives 3-years PhD objectives : ● To develop a coupled surface / surbsurface flow and solute reactive transport model in 3D based on the Cathy model. ● Validate the model at the hillslope scale with a global sensitivity analysis and the comparison with field data (large database from Irstea Lyon on two hillslopes of the Morcille catchment, Beaujolais, France) ● Upscaling from hillslope to catchment INRS summer 2015 session obectives : ● Merge a calculation flow model and a reactive transport model ● Compare the results of this new model with two litterature examples and control the mass balance.
  • 4. 4 Existing tools Cathy flow Coupled subsurface flow (FLOW3D) and surface routing (SURF_ROUTE) model Variably saturated flow 3D subsurface calculation : finite elements (FLOW3D) Tran3d Solute transport model with decay and linear sorption Variably saturated flow 3D Advection, sorption and decay resolved with finite elements BUT no flow calculation → steady state cases only
  • 5. 5 Context Flow and solute pathways in agricultural hillsopes are complex to precisly caracterize, particularly for what concerns surface/subsurface exchanges and lateral transfers. Modelisation can help, and in order to obtain accurate results on those kind of domains, the use of a physically-based model is required. Study site at the Morcille catchment (Beaujolais) First work centered on vagatative buffer strip zones : Those areas are a way to limit solute transfers from the field to aquatic environments and particularly activ for what concerns water infiltration. → About the influence of soil heterogeneity on surface and subsurface flow Example of 3 saturated conductivity statistical fields Generation of statistical fields with variable characteristics (correlation, enforcement with measured conductivity values, ... ) Comparison of the runoff and subsurface patways with field data on three events → Results are very sensitive to the conductivity dictributions → Generated hydrodynamic parameters with enforcement are quite close to data → Need to take into account microtopography
  • 6. 6 Method - Two study cases from the literature (Gureghian 1983 and Huyakorn et al. 1985) Merging of the two models Validation Application to a real hillslope (Beaujolais, France) Massbalance calculation
  • 7. 7 Merging of the two model Merged model - Initialisation of surface and flow calculation - Initialisation of reactive transport calculation Beginning of the time loop - Surface flow calculation - Subsurface flow calculation Backstepping if necessary - Reactive transport calculation (only one resolution for advection, sorption and decay) End of the time loop Tran3d : - Initialisation of reactive transport calculation - Integration of steady-state results Beginning of the time loop - Reactive transport calculation (only one resolution for advection, sorption and decay) End of the time loop Cathy flow : - Initialisation of surface and flow calculation Beginning of the time loop - Surface flow calculation - Subsurface flow calculation End of the time loop At each time step, reactive transport calculation is based on the flow calculation results : the merging allows the study of no-steady state cases ● At each step, flow and transport are calcultated with the same Δt (if necessary, backsteping occurs after subsurface flow and before transport) ● Surface transport isn't take into account.
  • 8. 8 Validation Test case 1 (Huyakorn et al. 1985) : case description Transport of non-conservative solute in a unsaturated soil. 3D mesh as modelised in the merged model (surface of 10 cm * 15 cm and 10 cm deep) with steady-state pressure in the domain. Boundary conditions used for the test case. 2D mesh (15 cm wide and 10 cm deep). Reactive transport : Dispersion αL = 1 cm αT = 0 Diffusion 0,01 cm²/d Sorption Rd = 2 Decay 0,001 d-1
  • 9. 9 Validation Tran3d Mergedmodel 0,053 d (1 h 15 min)0,165 d (4 h) 0,508 d (12 h) Test case 1 (Huyakorn et al. 1985) : results Concentration contours Mass balance : For each time step of this run, mass balance error stayed between 0,01 % and 1 %
  • 10. 10 Validation Vertical concentration profiles at x = 3 cm and three different times Horizontal concentration profiles at z = 10 cm and three different times t = 0,053 d t = 0,165 d T = 0,508 d Tran3dMerged model Test case 1 (Huyakorn et al. 1985) : results Relative concentration
  • 11. 11 Validation Test case 2 (Gureghian 1983) : case description Flow and transport in a ditch-drained aquifer with incident steady rainfall and infiltration of solute 3D mesh as modelised in the merged model (surface of 10 cm * 15 cm and 10 cm deep) with steady-state pressure in the domain. → 176 nodes for the plan (XZ) Boundary conditions used for the test case. 2D mesh ( 100 cm wide and 50 cm deep). → 176 nodes The mesh is not exactly reproduced, because Cathy flow does not allow unregular mesh. Reactive transport : Dispersion αL = 0,5 cm αT = 0,1 cm Diffusion 1e-5 cm²/d Sorption - Decay -
  • 12. 12 Validation Test case 2 (Gureghian 1983) : results Concentration contours Tran3dCombined model 15 days 45 days
  • 13. 13 Validation Test case 2 (Gureghian 1983) : results Concentration contours Tran3dMerged model → Little differences observed between tran3d and merged model results in the shape of the non-zero concentration zone. In this case, the slightly different used mesh could explain this variations. 90 days 120 days
  • 14. 14 Validation Test case 2 (Gureghian 1983) : results Mass balance Inside mass Entering mass Exiting mass d = 15 Solute infiltartion stops d ~ 70 Solute shape reaches seepage faces If we continue the run until 600 d ...
  • 15. 15 Discussion Even if there is little unexplained differences in the results of case 1, and inconsistent mass balance for seepage faces, the coupled model gives good results on those two simple examples. But in other situations, when concentration evolutions are less « smooth » (less or no dispersion or diffusion for example), the model becomes unstable and the user have to carrefully choose the time stepping to avoid concentration explosions. → It will not be enough stable to modelise complex hillslopes caracterized by important heterogeneity (with no string conditions on mesh or time steps) Solution : separate advection and reaction parts and calculate advection as finite volumes (see S. Weill et al. 2011).
  • 16. 16 Perspectives Short-term objective : From the last version of Cathy with non-reactive transport (probably Carlotta's version with velocity fields reconstruction), integrate sorption and decay equations. Construction scheme of the last version of transport on Cathy : Initialisation Beginning of the time loop Surface flow Surface transport Subsurface flow Subsurface transport - advective part → finite volume - reactive part (for now, only dffusion and dispersion) → finite elements End of the time loop Addition of linear sorption and first order decay
  • 17. 17 Perspectives Mid-term objective : ● Validation : 1- Apply the new model to a hillslope (Morcille's catchment, Beaujolais). The site is instrumented since more than a decade → a large database to compare with the model. 2- Global sensitivity analysis • Upscaling : Apply the model to the entire Morcille catchment and compare results with actual data (all in all 3 sites instrumented sites on the catchment). Rabiet et al. (2015) Boivin(2007) St-Joseph site on the Morcille Catchment
  • 18. 18 Thank you for your attention ! References : Camporese M., Paniconi C., Putti M., and Orlandini S. (2010). Surface and subsurface flow modeling with path-based runoff routing, boundary condition-based coupling, and assimilation of multisource observation data. Water Resources Research, 46(2). Gambolati G., Pini G., Putti M. and Paniconi C. (1994). Finite element modeling of the transport of reactive contaminants in variably saturated soils with LAE and non LEA sorption. Environmental Modeling vol. 2, ch. 7, pp. 173-212. Paniconi C., Wood E. (1983). A detailed model for simulation of catchment scale subsurface hydrologic processes. Water resources Research, 29(6):1601-1620. Weill S., Mazzia A., Putti., Paniconi C. (2011). Coupling water flow and solute transport into a physically-based surface-subsurface hydrological model. Advances in Water Resources vol 34, pp 128-136.