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THE SYSTEM DYNAMICS MODELING
OF GEOSYNTHETIC CLAY LANDFILL
LINERS
By
Samson O. OJOAWO, Ph.D
Senior Lecturer,
Department of Civil Engineering,
Ladoke Akintola University of Technology Ogbomoso,
Nigeria
OVERVIEW
PREAMBLE
INTRODUCTION
METHODOLOGY
RESULTS AND DISCUSSION
FINDINGS
CONCLUSIONS
RECOMMENDATION
CONTRIBUTION TO KNOWLEDGE
REFERENCES
Figure 1. Map of Africa showing Nigeria
PREAMBLE
Figure 2. Map of Nigeria showing the 36 States
Figure 3. Map of Nigeria showing Oyo State
Figure 4. Map of Oyo State showing the 33 Local Govt Areas (LGA)
INTRODUCTION
Solid Waste Management (SWM)
PRACTICE IN NIGERIA
(a) Determining factors
i. Location: urban, semi-urban & rural centres
ii. Income of residents: high, medium & low
iii. Education level: literates, semi-literates &
illitrates
(b) The practice
(i) Generation: per capita = between 0.4 and
0.5kg/day (Ojoawo, 2011)
(ii) Collection and Storage from source:
bucket, calabash, bin, etc
(iii)Transportation: compactor trucks
Figure 5 Typical waste collection bins in rural centres
Figure 6. Typical waste collection bin in Urban centres
(iv) Disposal of wastes in the study area:
- Indiscriminate dumping: rural areas, about 35%
of general practice
-Open burning: rural areas, about 25%
-Composting: rural areas, about 17%
-Incineration: urban centres, about 7%
-Landfilling: urban centres, about 2 in a state,
about 15%
Figure 7. Typical compactor truck in Urban centres (LAWMA, 2012)
Figure 8. Some waste collectors at work
Figure 9. Indiscriminate refuse dumping in a rural area
Figure 10. Typical aged dumpsite
Figure 11. Refuse dump near uncompleted buildings
Leachates
*Leachates result from excess water passing
through dumped wastes (Ojoawo, 2009;
Brachman, et.al 2004)
*Leachate control (Pfeffer, 1992)
: cover provision
: liner application
* Liners protect underground water
* Liners usually in double layers, Rowe et. al,
2004:
(a) Upper = leachate collection
(b) Lower = secondary check, back-up
• Types of liners: geosynthetic clay
geo-membranes
geonets
geotextiles
etc
* Paper focuses on geosnthetic clay liners
Figure 12. Schematic diagram of a liner system in landfills
* Geosynthetic Clay Liner (GCL)s were introduced in 1986 as barrier systems for
waste containment sites (Neil and Eddie, 2007).
* GCLs are also called Geosynthetic barriers- Clay (GBR-C).
* GCLs are rolls of factory fabricated thin layers of bentonite clay
sandwiched between two geo-textiles or bonded to a geomembrane
(VanZanten, 1986).
* When compared with clay it has lighter volume, light weight and is convenient to
install. The GCL is versatile, cost-effective, and thinner than Compacted Clay
Liners (GRI, 2011)
* Bentonite attracts positively charged water particles; thus, it rapidly hydrates when
exposed to liquid, such as water or leachate. As the clay hydrates it swells, giving
it the ability to “self- heal” holes in the GCL (USEPA, 2001)
* System dynamics model = one of the latest and comprehensive and is therefore
extensively applied in WM (Ojoawo, 2009)
*System dynamics modeling technique thus employed in this paper
CENTRAL AIM
To model the applications of GCL
using case study of the 5 Local
Government Areas (LGAs) of Oyo State
Nigeria, in Africa
The Case Study
• the Ogbomosoland LGAs: (a) Urban = Ogbomoso North
Ogbomoso South
(b) Rural = Oriire
Ogo Oluwa
Suurulere
•Ogbomosoland, Oyo State
Nigeria, in Africa & has an average
population of 657,417
(National Population Commission, 2006)
• It lies on Long 40 18’East, Lat 80 10’ North
• It’s situated in the transitional zone
between rain forest and savannah region
(Edward and Joel, 1998)
METHODOLOGY
(a) Material studied:
Geosynthetic Clay Liner
(b) Properties considered:
Water Absorption
Hydraulic conductivity
Porosity
Thickness
Slope
(c) Governing Equations:
(i) For leachate generation (Safari and Baronian, 2002)
N cells
LQnT (nΔt) = W4(t) – Wg(t) + Σ LQn( i, (n – i + 1) Δt
i = 1 -------(1)
where
LQnT = Accumulative amount of leachate
generated from the system
nΔt = No of waste cells at the given time
W4 = Overall mass of water entering or
leaving the dumpsite
Wg = Total water loss due to degradation
LQn = Overall leachate quantity generated
from a single cell
n & i = Counters
t = Breakthrough time of the liner
d = Thickness of the liner
α’ = Effective porosity
K = Coefficient of permeability and
h = Hydraulic head
(ii) Breakthrough time, t (Kadlec and
Knight, 1996)
t = d2α’ / K( d + h) ------(2)
where
d = thickness of the liner (m)
α’ = effective porosity
K = coefficient of permeability (m/s)
(iii ) Leackage rate through the liners
qi, also by Kadlec & knight, 1996:
qi = K [ 1 + y cos ϕ ]
d
----- (3)
where
K = coefficient of permeability (m/s)
d = liner thickness (m)
ϕ = the liner slope (measured in angles)
y = the leachate depth over liner (m)
(d) Computer programming and Simulation:
*V B language was employed in coding the equations
*Key elements of the Model were defined and quantified as
variables
*Relationships were formulated mathematically
*System dynamics structures applied in developing
the source codes
*Stock flow diagram of the system designed using
STELLA 9.1.4 software and simulation package
Population
Births
?
BirthRate
Death Rate
Deaths
?
Initial Field Capactiy
Runoff Coefficient
Total Precipitation
Chemical Reaction
Total Waste Generated
?
Initial Dry Weight of SW
Primary Leachate
Gas Generation Rate Increasing
?
Decay Process
Water Consumption DueTo Waste Decomposition
?
Mass of Water Consumed per CubicMeter of Ga Produced Decreasing
?
Effective Precipitation
Overall mass of WaterEntering or Leaving Dumpsite
?
Actual Evapotranspiration
?
Correction Factor
Overall leachate
Quantity for Single Cell
?
Field Capacity
?
Accumulative Amount of Lechate
?
Moisture Content of Waste
?
Estimated Population
Effective Porosity
Coefficient of Permeability
Hydraulic Head
Breakthrough Time
Saturated Vertical
Hydraulic Conductivity
Liner Slope in angle
Rate of Leakage
Thickness of Liner
?
Figure 13. The Stella flow diagram of the system
(e) Validation of the model:
Through assessment of practical
problems of leachate pollution
containment in the study area with
properties of Gesynthetic Clay
Liner materials
TABLE I: VALIDATION DATA
Material Hydraulic
Conductivity
(x 10-11) m/s
Porosity Thickness
(m)
Maximum
slope
Water
Absorption
(%)
GCL 5.0 0.62 0.005 2 475
Source: Petrov and Rowe (1997); USEPA, 2001b;
Sivakumar, et.al, 2001; Ojoawo, 2009
RESULTS AND DISCUSSION
On Simulation for 100 years the yearly
behavioural patterns are as shown below:
9:43 AM Tue, Apr 24, 2012
Figure 14: Ogbomoso North LG- Breakthrough time graph
Page 1
0.00 25.00 50.00 75.00 100.00
Time (yrs)
1:
1:
1:
10164051
10164051
10164051
1: Selected Breakthrough Time
1
1
1
1
9:54 AM Tue, Apr 24, 2012Page 1
0.00 25.00 50.00 75.00 100.00
Time (yrs)
1:
1:
1:
10163965
10163965
10163965
1: Selected Breakthrough Time
1
1
1
1
Figure 15: Ogbomoso South LG- Breakthrough time graph
9:54 AM Tue, Apr 24, 2012
Fig 16: Oriire LG- Breakthrough time graph
Page 1
0.00 25.00 50.00 75.00 100.00
Time (yrs)
1:
1:
1:
7512343
7512343
7512343
1: Selected Breakthrough Time
1
1
1
1
10:50 PM Sun, Apr 15, 2012
Figure 17 . Ogo Oluwa LG- Breakthrough time graph
Page 1
0.00 25.00 50.00 75.00 100.00
Time (yrs)
1:
1:
1:
6511145
6511145
6511145
1: Selected Breakthrough Time
1
1
1
1
10:44 PM Sun, Apr 15, 20Page 1
0.00 25.00 50.00 75.00 100.00
Time (yrs)
1:
1:
1:
7324567
5
7324567
7324567
1: Selected Breakthrough Time
1
1
1
1
Figure 18: Suurulere LG- Breakthrough time graph
TABLE III
BREAKTHROUGH TIMES OF GCL IN THE 5 LGAs
LGA Breakthrough time (
x 107s)
Breakthrough time
( x days)
Ogbomoso North 1.0165 7.74
Ogbomoso South 1.0163 7.73
Oriire 0.7512 5.72
Ogo Oluwa 0.6511 4.99
Suurulere 0.7324 5.57
FINDINGS
*GCL has the highest simulated
retention capability for the
leachate volume in urban LGAs
**The least breakthrough time
of 5 days was recorded in Ogo
Oluwa LGA- a rural area
CONCLUSIONS
*effectiveness of the GCL materials
in leachate containment in the
study area is of the order
Ogo Oluwa < Suurulere < Oriire <
Ogbomoso South < Ogbomoso
North
**The simulated longest
breakthrough period discovered for
the application of GCL in
Ogbomosoland LGA of Nigeria was
8 days
RECOMMENDATION
***GCL are recommended
for landfill leachate
containment in the Urban
LGAs of Ogbomosoland
CONTRIBUTION TO
KNOWLEDGE
* The model is universal and thus a
handy tool for dumpsite/landfill
leachate control world-wide
Acknowlegements
Mrs Olubunmi T. Ojoawo & Mr. Josiah Adelekan,
Software Assistants
REFERENCES
Barlas, Y (1996) “Formal aspects of model validity and validation in system dynamics”. System Dynamics Review, 12 (3):
183-210
Barlas, and Carpenter, S (1990) “Philosophical roots of model validation”. System Dynamics Review, 6 (2): 148-166
Edward, B and Joel, L.M (1978) “World Atlas”. 16th ed., USA, pp 21-35
Forrester, J.W (1968) “Principles of Systems”. Productivity Press, Portland, Oregon, U.S.A
Forrester, J.W (1987) “Lessons from Systems Dynamics modeling”. System Dynamics Review, 3(2): 136-149
GRI (2011) “Standard guide for design considerations for geosynthetic clay liners in various applications”. Geosynthetic
Research Institute. GRI-GCL 5
Homer, J.B (1996) “Why we iterate: Scientific modeling in theory and practice”. System Dynamics Review, 12(1): 1-19
IITA (2011) “Meteorological Data”, An unpublished document of the International Institute of Tropical Agriculture,
Ibadan Nigeria
Kadlec, T and Knight, M (1996) “Leachate management in landfills”. Environmental Hydrology, Chapter 12, 94 – 105
Neil, D and Eddie, M (2007) “GCLs –the cost effective alternative for waste management”. Proceedings of the
International Conference on Sustainable Solid Waste Management, 5-7 September, 2007, Chennai, India, 197-201
NPC (2006) “Official gazette for 2006 population cencus”. National Population Commission. Nigeria, p 34
Ojoawo, S.O (2009) “Management of leachate pollution form dumpsites in Ogbomosoland”. Ph.D Thesis, Faculty of
Technology, University of Ibadan, Ibadan, Nigeria, pp 51-52.
Petrov, R.J and Rowe, R.K (1997) “Geosynthetic clay liner: chemical capability by hydraulic conductivity testing and
factors impacting its performance”. Canadian Geotextile Journal, 34: 863-885
Richardson, G.P and Pugh III, A.L (1981) “Introduction to System Dynamics modeling”.
Productivity Press, Cambridge, Massachussets, U.S.A
Roberts, N, Anderson, D, Deal, R, Garet, M and Shaffer, W (1983) “Introduction to
computer simulation: A System Dynamics modeling approach”. Productivity Press,
Portland, Oregon, U.S.A
Safari, E and Baronian, C (2002) “Modelling temporal variations in leachate quantity
generated at Kahrizah landfill”. Proceedings of International Environmental Modeling
Software, 482 – 484
Sivakumar-Babum G.L, Sporer, H, Zanjinger, H and Gartung, E (2001) “Self-healing
properties of geosynthetic clay liners”, Geosynthetic International, Vol. 8, No. 5, pp 461-
470
Sterman, J.D (2000) “Business Dynamics: Systems Thinking and Modeling for a complex
world”. McGraw-Hill, Boston, MA
USEPA (2001a) “Geosynthetic clay liners used in municipal solid waste landfills”. Solid
waste and emergency response (5306W). EPA 530-F-97-002. Revised, December 2001
USEPA (2001b) “Environmental Protection”, Office of Solid Waste –home page,
http:epa.gov/enviroed/eedefined.html./accessed 20/4/2004
VanZanten, R.V (1986) “Geotextiles and Geomembranes in Civil Engineering”. Balkema
Publishers Rotterdam, Netherlands, 680-746
Wolstenholme, E (2004) “Using generic system archetypes to support thinking and
modeling”. System Dynamics Review, 20 (4): 341-356, doi:10.1002/sdr.302
THANK YOU ALL
FOR THE ATTENTION

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The system dynamics modeling of geosynthetic clay landfill liners

  • 1. THE SYSTEM DYNAMICS MODELING OF GEOSYNTHETIC CLAY LANDFILL LINERS By Samson O. OJOAWO, Ph.D Senior Lecturer, Department of Civil Engineering, Ladoke Akintola University of Technology Ogbomoso, Nigeria
  • 3. Figure 1. Map of Africa showing Nigeria PREAMBLE
  • 4. Figure 2. Map of Nigeria showing the 36 States
  • 5. Figure 3. Map of Nigeria showing Oyo State
  • 6. Figure 4. Map of Oyo State showing the 33 Local Govt Areas (LGA)
  • 7. INTRODUCTION Solid Waste Management (SWM) PRACTICE IN NIGERIA (a) Determining factors i. Location: urban, semi-urban & rural centres ii. Income of residents: high, medium & low iii. Education level: literates, semi-literates & illitrates
  • 8. (b) The practice (i) Generation: per capita = between 0.4 and 0.5kg/day (Ojoawo, 2011) (ii) Collection and Storage from source: bucket, calabash, bin, etc (iii)Transportation: compactor trucks
  • 9. Figure 5 Typical waste collection bins in rural centres
  • 10. Figure 6. Typical waste collection bin in Urban centres
  • 11. (iv) Disposal of wastes in the study area: - Indiscriminate dumping: rural areas, about 35% of general practice -Open burning: rural areas, about 25% -Composting: rural areas, about 17% -Incineration: urban centres, about 7% -Landfilling: urban centres, about 2 in a state, about 15%
  • 12. Figure 7. Typical compactor truck in Urban centres (LAWMA, 2012)
  • 13. Figure 8. Some waste collectors at work
  • 14. Figure 9. Indiscriminate refuse dumping in a rural area
  • 15. Figure 10. Typical aged dumpsite
  • 16. Figure 11. Refuse dump near uncompleted buildings
  • 17. Leachates *Leachates result from excess water passing through dumped wastes (Ojoawo, 2009; Brachman, et.al 2004) *Leachate control (Pfeffer, 1992) : cover provision : liner application * Liners protect underground water
  • 18. * Liners usually in double layers, Rowe et. al, 2004: (a) Upper = leachate collection (b) Lower = secondary check, back-up • Types of liners: geosynthetic clay geo-membranes geonets geotextiles etc * Paper focuses on geosnthetic clay liners
  • 19. Figure 12. Schematic diagram of a liner system in landfills
  • 20. * Geosynthetic Clay Liner (GCL)s were introduced in 1986 as barrier systems for waste containment sites (Neil and Eddie, 2007). * GCLs are also called Geosynthetic barriers- Clay (GBR-C). * GCLs are rolls of factory fabricated thin layers of bentonite clay sandwiched between two geo-textiles or bonded to a geomembrane (VanZanten, 1986). * When compared with clay it has lighter volume, light weight and is convenient to install. The GCL is versatile, cost-effective, and thinner than Compacted Clay Liners (GRI, 2011) * Bentonite attracts positively charged water particles; thus, it rapidly hydrates when exposed to liquid, such as water or leachate. As the clay hydrates it swells, giving it the ability to “self- heal” holes in the GCL (USEPA, 2001) * System dynamics model = one of the latest and comprehensive and is therefore extensively applied in WM (Ojoawo, 2009) *System dynamics modeling technique thus employed in this paper
  • 21. CENTRAL AIM To model the applications of GCL using case study of the 5 Local Government Areas (LGAs) of Oyo State Nigeria, in Africa
  • 22. The Case Study • the Ogbomosoland LGAs: (a) Urban = Ogbomoso North Ogbomoso South (b) Rural = Oriire Ogo Oluwa Suurulere •Ogbomosoland, Oyo State Nigeria, in Africa & has an average population of 657,417 (National Population Commission, 2006) • It lies on Long 40 18’East, Lat 80 10’ North • It’s situated in the transitional zone between rain forest and savannah region (Edward and Joel, 1998)
  • 24. (b) Properties considered: Water Absorption Hydraulic conductivity Porosity Thickness Slope
  • 25. (c) Governing Equations: (i) For leachate generation (Safari and Baronian, 2002) N cells LQnT (nΔt) = W4(t) – Wg(t) + ÎŁ LQn( i, (n – i + 1) Δt i = 1 -------(1)
  • 26. where LQnT = Accumulative amount of leachate generated from the system nΔt = No of waste cells at the given time W4 = Overall mass of water entering or leaving the dumpsite Wg = Total water loss due to degradation LQn = Overall leachate quantity generated from a single cell n & i = Counters t = Breakthrough time of the liner d = Thickness of the liner α’ = Effective porosity K = Coefficient of permeability and h = Hydraulic head
  • 27. (ii) Breakthrough time, t (Kadlec and Knight, 1996) t = d2α’ / K( d + h) ------(2) where d = thickness of the liner (m) α’ = effective porosity K = coefficient of permeability (m/s)
  • 28. (iii ) Leackage rate through the liners qi, also by Kadlec & knight, 1996: qi = K [ 1 + y cos ϕ ] d ----- (3) where K = coefficient of permeability (m/s) d = liner thickness (m) ϕ = the liner slope (measured in angles) y = the leachate depth over liner (m)
  • 29. (d) Computer programming and Simulation: *V B language was employed in coding the equations *Key elements of the Model were defined and quantified as variables *Relationships were formulated mathematically *System dynamics structures applied in developing the source codes *Stock flow diagram of the system designed using STELLA 9.1.4 software and simulation package
  • 30. Population Births ? BirthRate Death Rate Deaths ? Initial Field Capactiy Runoff Coefficient Total Precipitation Chemical Reaction Total Waste Generated ? Initial Dry Weight of SW Primary Leachate Gas Generation Rate Increasing ? Decay Process Water Consumption DueTo Waste Decomposition ? Mass of Water Consumed per CubicMeter of Ga Produced Decreasing ? Effective Precipitation Overall mass of WaterEntering or Leaving Dumpsite ? Actual Evapotranspiration ? Correction Factor Overall leachate Quantity for Single Cell ? Field Capacity ? Accumulative Amount of Lechate ? Moisture Content of Waste ? Estimated Population Effective Porosity Coefficient of Permeability Hydraulic Head Breakthrough Time Saturated Vertical Hydraulic Conductivity Liner Slope in angle Rate of Leakage Thickness of Liner ? Figure 13. The Stella flow diagram of the system
  • 31. (e) Validation of the model: Through assessment of practical problems of leachate pollution containment in the study area with properties of Gesynthetic Clay Liner materials
  • 32. TABLE I: VALIDATION DATA Material Hydraulic Conductivity (x 10-11) m/s Porosity Thickness (m) Maximum slope Water Absorption (%) GCL 5.0 0.62 0.005 2 475 Source: Petrov and Rowe (1997); USEPA, 2001b; Sivakumar, et.al, 2001; Ojoawo, 2009
  • 33. RESULTS AND DISCUSSION On Simulation for 100 years the yearly behavioural patterns are as shown below:
  • 34. 9:43 AM Tue, Apr 24, 2012 Figure 14: Ogbomoso North LG- Breakthrough time graph Page 1 0.00 25.00 50.00 75.00 100.00 Time (yrs) 1: 1: 1: 10164051 10164051 10164051 1: Selected Breakthrough Time 1 1 1 1
  • 35. 9:54 AM Tue, Apr 24, 2012Page 1 0.00 25.00 50.00 75.00 100.00 Time (yrs) 1: 1: 1: 10163965 10163965 10163965 1: Selected Breakthrough Time 1 1 1 1 Figure 15: Ogbomoso South LG- Breakthrough time graph
  • 36. 9:54 AM Tue, Apr 24, 2012 Fig 16: Oriire LG- Breakthrough time graph Page 1 0.00 25.00 50.00 75.00 100.00 Time (yrs) 1: 1: 1: 7512343 7512343 7512343 1: Selected Breakthrough Time 1 1 1 1
  • 37. 10:50 PM Sun, Apr 15, 2012 Figure 17 . Ogo Oluwa LG- Breakthrough time graph Page 1 0.00 25.00 50.00 75.00 100.00 Time (yrs) 1: 1: 1: 6511145 6511145 6511145 1: Selected Breakthrough Time 1 1 1 1
  • 38. 10:44 PM Sun, Apr 15, 20Page 1 0.00 25.00 50.00 75.00 100.00 Time (yrs) 1: 1: 1: 7324567 5 7324567 7324567 1: Selected Breakthrough Time 1 1 1 1 Figure 18: Suurulere LG- Breakthrough time graph
  • 39. TABLE III BREAKTHROUGH TIMES OF GCL IN THE 5 LGAs LGA Breakthrough time ( x 107s) Breakthrough time ( x days) Ogbomoso North 1.0165 7.74 Ogbomoso South 1.0163 7.73 Oriire 0.7512 5.72 Ogo Oluwa 0.6511 4.99 Suurulere 0.7324 5.57
  • 40. FINDINGS *GCL has the highest simulated retention capability for the leachate volume in urban LGAs
  • 41. **The least breakthrough time of 5 days was recorded in Ogo Oluwa LGA- a rural area
  • 43. *effectiveness of the GCL materials in leachate containment in the study area is of the order Ogo Oluwa < Suurulere < Oriire < Ogbomoso South < Ogbomoso North
  • 44. **The simulated longest breakthrough period discovered for the application of GCL in Ogbomosoland LGA of Nigeria was 8 days
  • 46. ***GCL are recommended for landfill leachate containment in the Urban LGAs of Ogbomosoland
  • 47. CONTRIBUTION TO KNOWLEDGE * The model is universal and thus a handy tool for dumpsite/landfill leachate control world-wide
  • 48. Acknowlegements Mrs Olubunmi T. Ojoawo & Mr. Josiah Adelekan, Software Assistants
  • 49. REFERENCES Barlas, Y (1996) “Formal aspects of model validity and validation in system dynamics”. System Dynamics Review, 12 (3): 183-210 Barlas, and Carpenter, S (1990) “Philosophical roots of model validation”. System Dynamics Review, 6 (2): 148-166 Edward, B and Joel, L.M (1978) “World Atlas”. 16th ed., USA, pp 21-35 Forrester, J.W (1968) “Principles of Systems”. Productivity Press, Portland, Oregon, U.S.A Forrester, J.W (1987) “Lessons from Systems Dynamics modeling”. System Dynamics Review, 3(2): 136-149 GRI (2011) “Standard guide for design considerations for geosynthetic clay liners in various applications”. Geosynthetic Research Institute. GRI-GCL 5 Homer, J.B (1996) “Why we iterate: Scientific modeling in theory and practice”. System Dynamics Review, 12(1): 1-19 IITA (2011) “Meteorological Data”, An unpublished document of the International Institute of Tropical Agriculture, Ibadan Nigeria Kadlec, T and Knight, M (1996) “Leachate management in landfills”. Environmental Hydrology, Chapter 12, 94 – 105 Neil, D and Eddie, M (2007) “GCLs –the cost effective alternative for waste management”. Proceedings of the International Conference on Sustainable Solid Waste Management, 5-7 September, 2007, Chennai, India, 197-201 NPC (2006) “Official gazette for 2006 population cencus”. National Population Commission. Nigeria, p 34 Ojoawo, S.O (2009) “Management of leachate pollution form dumpsites in Ogbomosoland”. Ph.D Thesis, Faculty of Technology, University of Ibadan, Ibadan, Nigeria, pp 51-52. Petrov, R.J and Rowe, R.K (1997) “Geosynthetic clay liner: chemical capability by hydraulic conductivity testing and factors impacting its performance”. Canadian Geotextile Journal, 34: 863-885
  • 50. Richardson, G.P and Pugh III, A.L (1981) “Introduction to System Dynamics modeling”. Productivity Press, Cambridge, Massachussets, U.S.A Roberts, N, Anderson, D, Deal, R, Garet, M and Shaffer, W (1983) “Introduction to computer simulation: A System Dynamics modeling approach”. Productivity Press, Portland, Oregon, U.S.A Safari, E and Baronian, C (2002) “Modelling temporal variations in leachate quantity generated at Kahrizah landfill”. Proceedings of International Environmental Modeling Software, 482 – 484 Sivakumar-Babum G.L, Sporer, H, Zanjinger, H and Gartung, E (2001) “Self-healing properties of geosynthetic clay liners”, Geosynthetic International, Vol. 8, No. 5, pp 461- 470 Sterman, J.D (2000) “Business Dynamics: Systems Thinking and Modeling for a complex world”. McGraw-Hill, Boston, MA USEPA (2001a) “Geosynthetic clay liners used in municipal solid waste landfills”. Solid waste and emergency response (5306W). EPA 530-F-97-002. Revised, December 2001 USEPA (2001b) “Environmental Protection”, Office of Solid Waste –home page, http:epa.gov/enviroed/eedefined.html./accessed 20/4/2004 VanZanten, R.V (1986) “Geotextiles and Geomembranes in Civil Engineering”. Balkema Publishers Rotterdam, Netherlands, 680-746 Wolstenholme, E (2004) “Using generic system archetypes to support thinking and modeling”. System Dynamics Review, 20 (4): 341-356, doi:10.1002/sdr.302
  • 51. THANK YOU ALL FOR THE ATTENTION