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Statistical Analysis of Global Climate Change

Authors: Eben A. Nornormey; Reine Makafui Mc Eben-Nornormey; Emmanuel Atta; Nathaniel Awudu Nelson; NapoleonAddison; Felix Koney;

Statistical Analysis of Global Climate Change

Abstract

Global climate change is very sensitive and important; its ramification is threatening the very existence of human being on the planet earth. In this paper, we brought to the fore the evidence of climate change and its main characteristic: global warming which can be seen everywhere. Fossil fuel burning to generate electricity, power factories, drive transportation industries and their attendance emission of greenhouse gases (e.g carbon dioxide) which are the bane of temperature rise in the world were discussed. Other causes of global climate change which include, deforestation and livestock farming were also mentioned. The paper emphasized the fact that, the effects of the change in the climate could be observed on the oceans, water resources, precipitations and glaciers. We also provided information in the paper that global climate change mitigating factors could be taken to reduce and slow down anthropogenic induced temperature rise. The mitigation, we showed in the article could encompass introducing new technologies and renewable energies. The article also enumerated global climate change protocols such as the Kyoto Protocol and Paris Agreement. These protocols as shown could be used to monitor and regulate activities that promote temperature rise. The researchers accentuated their results based on the usage of fossil fuels and carbon dioxide emission by the continents (Asia, Europe, America and Africa) in 2020 and 2021. The results in the write-up showed that Asia powered by China consumed the most fossil fuels and emitted the highest carbon dioxide than the rest of the continents.

Keywords

Global Warming, Global Climate Change, Fossil Fuel, Electricity, Greenhouse Gases, Deforestation, Carbon Dioxide, Anthropogenic, Kyoto Protocol.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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