Jeeven Ravi, Yan Qing, Mir Sahil, Nik Anis Fadhlina, Nicole Choo Yi Ying, D. Handayani, T. Mantoro
{"title":"温室气体排放的识别,通过对不同部门排放的探索","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":"{\"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}","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}
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.