Identification of Greenhouse Gases Emission Thorough Exploration of The Emission from Different Sectors

Jeeven Ravi, Yan Qing, Mir Sahil, Nik Anis Fadhlina, Nicole Choo Yi Ying, D. Handayani, T. Mantoro
{"title":"Identification of Greenhouse Gases Emission Thorough Exploration of The Emission from Different Sectors","authors":"Jeeven Ravi, Yan Qing, Mir Sahil, Nik Anis Fadhlina, Nicole Choo Yi Ying, D. Handayani, T. Mantoro","doi":"10.1109/ICCED51276.2020.9415811","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Computing Engineering and Design (ICCED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCED51276.2020.9415811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
温室气体排放的识别,通过对不同部门排放的探索
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Comparison Data Mining based on Optimization Algorithms in Receiving Electricity Subsidies Embracing Agile Development Principles in an Organization using The Legacy System: The Case of Bank XYZ in Indonesia Modelling and Optimization Containers Dwell-Time in Tanjung Perak Port Indonesia Consumer Acceptance in Grocery Shopping Mobile Applications Multi-Faces Recognition in Crowd Using Support Vector Machine on Histogram of Gradient
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1