Thailand UNDP-GIZ workshop on CBA - Appraisal outcomes
asabe2014
1. Coupling System Dynamics and SWAT Models
for Participatory Water Quality Management in
the Du Chêne basin, Québec
Jérome Boisvert-Chouinard
M.Sc. Candidate
Supervised by Dr. Jan Adamowski
Department of Bioresource Engineering
McGill University
3. 1. Introduction
1.1 Background
o Physically-based models are commonly used for decision support
o Accurate representation of physical processes but narrow scope
For sustainability, socio-economic aspects must be considered
Additionally,
o Engaging stakeholders is crucial for effective management
o SD participatory model building successfully used previously (Halbe and
Adamowski, 2011)
By combining participatory SD and physically-based models:
• Take holistic view by modeling ecological + socio-economic systems
• Engage key stakeholders in decisions and implementation
1.2 Objective
o Develop guidelines to couple participatory SD and physically-based models
3
6. 3. Study Area
6
Du Chêne basin, Québec
• 35% agricultural use
• 15% wetlands
• 400 animal producers
• Poor water quality in most tributaries (IQBP)
• High chlorophyll A and phosphorus
7. 4. Results
4.1. Water quality in the Du Chêne basin, Quebec
o Participatory qualitative SD model developed by Halbe and Adamowski (2011)
o Mathematical model created in Simile from qualitative SD
o Coupled quantified SD with Soil & Water Assessment Tool (SWAT) model
7
8. 4. Results
8
4.2. SD Model Development
<Year>
Population
Isolated
residences
Wastewater
urban areas
Treatment costs
centralized
+
+
Apport reseau
routier (SWAT)
Treated water
centralized system
+
Share of treatment
centralized system
<Year>
Treatment Costs
per mcm
<Year>
Volume of untreated
water centralized
(SWAT)
Wastewater
isolated residences
Share of treatment
through septic tanks
<Year>
Treated water
septic tanks
Treatment costs
septic tanks
capital costs
centralized tanks
Capital costs
centralized
treatment
delay
Volume of untreated
septic tanks (SWAT)
Delay2
<Isolated
residences>
bandes riveraines et
haies brisevent
buffer strips
(SWAT)
<Year>
Costs of buffer
strips
11. 4. Results
4.5. Model Coupling with Simile and PEST
o Simile: C-based graphical SD modeling environment
o Open-source interface module from PEST software suite (mio.f)
o C wrapper to use mio.f in Simile
o Advantages:
• Fast (C and FORTRAN)
• Flexible (template files)
• Requires minimal code alterations
11
12. 5. Discussion
5.1 Conclusion
o Participatory SD can be coupled with SWAT and other models
o Model used for stakeholder discussions and “what if” scenarios
o Not suited for operational use due to high uncertainty
5.2 Future research
o Test of other coupling approaches
o 2nd case: Soil salinity in Rechna Doab, Pakistan
o Further calibration using parameter estimation methods
o Uncertain analysis
12
14. Coupling System Dynamics and SWAT Models
for Participatory Water Quality Management in
the Du Chêne basin, Québec
Jérome Boisvert-Chouinard
M.Sc. Candidate
Supervised by Dr. Jan Adamowski
Department of Bioresource Engineering
McGill University
15. References
Halbe, J., and Adamowski, J. 2011. Use of Participatory System Dynamics Modelling for
Collaborative Watershed Management in Québec, Canada. Journal of Agricultural
Engineering. Retrieved from
http://epubs.icar.org.in/ojs-2.3.1-2/index.php/JAE/article/view/14654.
15
