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Air Pollution Mitigation in Metropolitans Using System Dynamics Approach

机译:利用系统动力学方法的大都市空气污染减缓

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Searching and identifying capable policies for mitigating air pollution in metropolitans has always been a serious concern due to its complexity for policy makers to reduce the effects of air pollution. Governments can play a crucial role in establishing effective policies in order to reduce the air pollution. This research investigates the fundamental variables affecting air pollution and also evaluates applicable policies to mitigate air pollution in Mexico City as a case study using system dynamics simulation modelling. In this study, the three important considered policies are 1) tax on Industries that pollutes the air, 2) utilizing renewable energy as a necessity, and 3) the development of public transportation system All variables and policies are selected with sustainable development perspective. We propose the simulation modeling by utilizing variables affecting air pollution and the selected policy. As the result of simulation shows in this study, the development of public transportation system is the most applicable and reliable policy in mitigating air pollution in Mexico City and CO_2 emission is considered as the key variable in air pollution amplification. At the end, a substantial decrease in air pollution amount has been observed due to applying the selected policy within 20 year horizon.
机译:搜索和识别能力的政策对减轻大城市的空气污染一直是一个严重的问题,由于其复杂性,政策制定者,以减少空气污染的影响。政府可以发挥,以减少空气污染制定有效的政策至关重要的作用。这项研究调查影响大气污染的根本变量,并评估在墨西哥城适用政策,以减轻空气污染的系统动力学仿真建模的案例研究。在这项研究中,三个重要制定的策略是:1)对产业税,污染空气,2)利用可再生能源的必要性,以及3)所有变量和政策与可持续发展的角度选择公共交通系统的发展。我们建议利用影响空气污染和所选择的政策变量的仿真建模。由于仿真结果表明在这项研究的结果,公共交通系统的发展是在墨西哥城减轻空气污染最适用和可靠的政策和CO_2排放被认为是空气污染放大的关键变量。最后,在空气污染量大幅下降已被观察到,由于20年期限内将所选择的政策。

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