A Dynamic Model of Air Pollution, Health,and Population Growth Using System Dynamics: A Study on Tehran-Iran (With Computer Simulation by the Software Vensim)

The significance of environmental protection is wellknown in today's world. The execution of any program depends on sufficient knowledge and required familiarity with environment and its pollutants. Taking advantage of a systematic method, as a new science, in environmental planning can solve many problems. In this article, air pollution in Tehran and its relationship with health and population growth have been analyzed using dynamic systems. Firstly, by using casual loops, the relationship between the parameters effective on air pollution in Tehran were taken into consideration, then these casual loops were turned into flow diagrams [6], and finally, they were simulated using the software Vensim [16]in order to conclude what the effect of each parameter will be on air pollution in Tehran in the next 10 years, how changing of one or more parameters influences other parameters, and which parameter among all other parameters requires to be controlled more.

• Keyvan Shahgholian
• Hamid Hajihosseini

• Air pollutions
• Simulation
• System Dynamics
• Tehran
• Vensim.

[1] D.K. Arrowsmith, C.M. Place, An Introduction to Dynamical Systems,
Cambridge University Press , 1990.
[2] C.S. Bonaventura, K.W. Jablokow, A modular approach to the dynamics
of complex multirobot systems, IEEE Transactions on Robotics 21 (1),
,(2005), 26-37.
[3] M. Dabiri, Environmental Pollution, Etehad Press, Tehran, 2005.
[4] J. Doyle, D. Ford, Mental models concepts for system dynamics
research, System dynamics Review 14(1), (1998), 3-29.
[5] E. Faraji, Weather and Climatology, Krano Press,Tehran, 1999.
[6] M. Hamidizadeh, System dynamics, University of Shahid Beheshti
Press, Tehran, 2000.
[7] Y. Hwang, Recursive method for the dynamic analysis of open-loop
flexible multibody systems, Proc, ASME Design Engineering Technical
Conf., Chicago, IL,(2003), 593-602.
[8] S. Khaledi, Water and Weather and City, Tabiat Press, Tehran, 2004.
[9] D. Karnopp, D. Margolis, R. Rosenberg, System dynamics: Unified
Approach, John Wiley, New York, 1990.
[10] C.W. Kirkwood, Vensim PLE Quick Reference and Tutorial, Internet,
2002.
[11] G.J. Klir, Facets of systems science, Plenum Press, 1991.
[12] D.C. Lane, Invited Review and Reappraisal: Industrial Dynamics,
Journal of the Operational Research Society 48, (1997), 1037-1042.
[13] J. Morecroft, Acritical review of diagramming tools for conceptualizing
feedback models, Dynamica8 (1), (1989), 20-29.
[14] G.P. Richardson, Pugh III, L. Alexander, Introduction to system
dynamics modeling with Dynamo, The MIT Press, 1981.
[15] B. Richmond, System thinking: Critical thinking skills for the 1990 and
beyond, System Dynamics Review9 (2), (1993), 113-134.
[16] J. Sterman, Business dynamics, McGraw-Hill, 2000.
[17] J. Sterman, J. Wittenberg, Path dependence, competition, and succession
in the dynamics of scientific revolution, organization science10(3),
(1999), 322-341.
[18] H. Weli, R. Etherton, System dynamics in dispute resolution:
Proceedings Of the 1990 international System Dynamics Conference,
Chestnut Hill, MA: International System Dynamics Society, 1990.
[19] J.A. Vennix, Group Model Building: Facilitating Team Learning Using
System Dynamics, Chichester: John Wiley & Sons, 1996.