温室气体排放的识别,通过对不同部门排放的探索

Jeeven Ravi, Yan Qing, Mir Sahil, Nik Anis Fadhlina, Nicole Choo Yi Ying, D. Handayani, T. Mantoro
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引用次数: 1

摘要

全球气候变化及其对环境、政治和经济的影响已被认为是当今人类面临的最相互关联的挑战之一。随着涉及气候变化的数据呈指数级增长,人们一直在研究如何不断改进大数据应用,以处理收集到的不断增长的信息。本报告旨在借助大数据应用讨论我们当前的气候状况。在这方面,进一步分析和总结围绕全球气候变化的复杂数据。此外,本报告还将系统地讨论温室气体(GHG)的增量发生,这也是气候变化的重要原因。此外,还将分析工业化活动产生的温室气体排放,并调查全球温室气体排放趋势。为了进行数据分析和可视化我们的数据集,我们使用Power-Bi创建了本报告的五个不同图形。本报告最后提出了若干缓解战略,这些战略有助于减少气候变化的破坏性影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Greenhouse Gases Emission Thorough Exploration of The Emission from Different Sectors
Global climate change and it's environmental, political, and economic effects have been recognized as one of the most interconnected challenges faced by humanity today. As data involving climate change exponentially grows, research has been made to continually improve big data applications to handle the ever-growing information collected. This report aims to discuss our current climate condition with the help of big data applications. With regards, to further analyze and summarize complex data revolving around global climate change. Moreover, this report will also systematically discuss the incremental occurrence of greenhouse gases (GHG), which is also the vital cause of climate change. Besides, GHG emissions from the industrialized activity will also be analyzed, as well as investigating the global trend on GHG emissions. To conduct the data analysis and visualization our datasets, Power-Bi has been used to create the five different graphs of this report. This report concludes with several mitigation strategies that can aid and be implemented to reduce the devastating effects of climate change.
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