2022
DOI: 10.3390/su14031181
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Analyzing Tehran’s Air Pollution Using System Dynamics Approach

Abstract: Air pollution is one of the major issues in urban management. City managers and planners pay a great deal of attention to this problem given its harmful effect on people’s health and the environment. This paper proposes a simulated model of the pollution level of the capital city of Tehran along with its source and outcomes based on system dynamics. First, it provides a comprehensive review of the sources of greenhouse emission along with the impact of natural factors on its growth. The data is collected from … Show more

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Cited by 2 publications
(2 citation statements)
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“…It is a quantitative approach based on the feedback control theory and uses numerical simulation to study complex socio-economic systems, allowing for system analysis and forecasting in the medium and long term [32,33]. This method can explain the behaviour patterns of the system determined by the feedback mechanism among the elements within the system, simulate the dynamic development of complex systems such as the urbanisation development system [34] and air pollution system [35], and further improve the structure and function of the system based on this [36,37]. System dynamics is an integrated simulation and prediction model, the greatest advantage of which is that it can avoid the one-sidedness of low-dimensional and single predictions and is suitable for dealing with non-linear and long-term problems of more complex systems.…”
Section: System Dynamicsmentioning
confidence: 99%
“…It is a quantitative approach based on the feedback control theory and uses numerical simulation to study complex socio-economic systems, allowing for system analysis and forecasting in the medium and long term [32,33]. This method can explain the behaviour patterns of the system determined by the feedback mechanism among the elements within the system, simulate the dynamic development of complex systems such as the urbanisation development system [34] and air pollution system [35], and further improve the structure and function of the system based on this [36,37]. System dynamics is an integrated simulation and prediction model, the greatest advantage of which is that it can avoid the one-sidedness of low-dimensional and single predictions and is suitable for dealing with non-linear and long-term problems of more complex systems.…”
Section: System Dynamicsmentioning
confidence: 99%
“…The problem of pollution has attracted a great attention for its harmful effects on human health and the environment, and because air is necessary to preserve human life and other creatures on the globe (Shahsavari-Pour, Bahador, Heydari, & Fekih, 2022), as air pollution reduces renewable and non-renewable natural resources and poses a danger to the future generations (Ashour & Wahab, 2016). Any imbalance in the air ecosystem as a result of releasing a large amount of gases and particles that exceeds the system's ability to self-purify causes a significant change in the properties and elements of the air (Majaji, 2018).…”
Section: Introductionmentioning
confidence: 99%