This document discusses system dynamics modeling and its applications for urban environmental management. It defines key concepts in systems thinking like feedback loops and system dynamics modeling. System dynamics modeling uses simulation to model complex systems and their changes over time. It identifies stocks, flows, converters and interrelationships as the basic elements. The document provides examples of system dynamics modeling applications for waste management in Tuguegarao City and water reuse planning in the Great Lakes region. It argues that system dynamics modeling is a powerful tool for assessing interconnected environmental systems.
4. Characteristics of Systems Thinking
1. Begins with a global description, then move toward
the specific.
2. Focuses on dynamic processes – changes over time
3. Seeks a closed-loop explanation – set scope and
limitations; behavior of the system is only
dependent on elements within system
4. Identifies feedback loops
5. Looks for checks, balances, and runaway processes.
6. Focuses on cause-effect relationships
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Deaton and Winebrake (2000)
5. Resolving Environmental Issues
• Environmental issues are complex and
different elements have interrelationships.
– OVERPOPULATION
– URBANIZATION
– CLIMATE CHANGE ADAPTATION AND MITIGATION
– RESOURCE MANAGEMENT
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6. Feedback Loops
• Definition
– A closed-loop circle of cause and effect
– Conditions in one part cause results elsewhere,
which will act on the original conditions
– Feedback loops help to understand which
elements have high and low impacts to the
system.
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7. Types of Feedback Loops
• Reinforcing (positive)
• Balancing (negative)
Adapted from Deaton and Winebrake (2000) and Morecroft (2010)
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8. System dynamics modeling
• Developed by Jay Forrester in the 1950s
• A methodology in which simulation is governed
entirely by changes over time, used for studying
and managing complex feedback systems
• When initial conditions are assigned for variables,
the model would produce related consequences
based on the initiation of action and flow of
information.
• It is used to understand how a system works and
to predict its performance.
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9. Systems have four components
• A component of a system where something
is accumulated. The contents may go up or
down over time
Reservoirs/Stocks
• Activities that determine the values of
reservoirs over time.Processes/Flows
• System quantities that dictate the rates at
which the processes operate and the
reservoirs change
Converters
• The cause-effect relationships between
system elements.Interrelationships
Deaton and Winebrake 2000
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10. Basic Elements of a System Dynamics
Model
Flow 1
Conv erter
Stock
Flow 2
• Feedbacks
• Stock-flow relationships
• Time delays between elements
10STELLA
11. Guzman et al. 2010
Waste Management in Tuguegarao City
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Solid waste flow of the City was
translated into a computer model
for scenario simulation.
12. Guzman et al. 2010
Waste Management in Tuguegarao City
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The SD model was run with the
spatial distribution of waste in mind
to simulate different scenarios of
waste management.
13. Nasiri et al. 2012
Water reuse in Great Lakes Region
Water reuse planning that involved
various economic, technological, and
environmental criteria over time
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14. Guan et al. 2011
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System dynamics modelling is a
powerful tool for complex systems
with interconnected components.
15. Guan et al. 2011
The study combined system
dynamics and GIS for integrated
dynamic and spatial assessments
of sustainability of Chongqing
City, China..
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16. Summary
• Environmental issues cannot be simplified
because of the interrelated components affecting
the systems over time.
• Basic elements of system dynamics modelling
– Feedback loops
– Stock-flow relationships
– Time delays
• System dynamics modelling is a frontier towards
resolving Philippine environmental issues.
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Hinweis der Redaktion
The SD model was run with the spatial distribution of waste in mind to simulate different scenarios of waste management.