升级在印度道路上运行的汽车:使用人工神经网络分析其对环境的影响

M. Tabrez, Md. Asif Hasan, N. Rafiuddin, F. I. Bakhsh
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引用次数: 2

摘要

机动车排放已被确定为大多数城市空气污染的主要来源。它们严重影响我们的城市空气质量和公众健康。本文分析了将目前在印度运行的汽车升级为既可以使用IC发动机又可以使用电动机的混合动力汽车的好处。利用人工神经网络预测到2035年的注册汽车数量。分析结果表明,将现有汽车升级为混合动力汽车将减少温室气体排放,从而通过减少氢氟碳化合物(hfc)和全氟碳化合物(pfc)等温室气体而获得可观的碳信用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Upgrading cars running on Indian roads: Analyzing its impact on environment using ANN
Motor vehicle emissions have been identified as the major source of air pollution in most urban cities. They have a serious impact on our urban air quality and public health. This paper analyses the benefits of upgrading the current cars running in India to a hybrid car which can run using both IC engine and electric motors. Numbers of registered cars are forecasted up to 2035 using Artificial Neural Network. The result of analysis shows that upgrading the existing cars with hybrid ones will reduce the greenhouse gas emission which in turn cause significant carbon credit earning by reduction of greenhouse gases like hydro fluorocarbons (HFCs), and per-fluorocarbons (PFCs).
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