Forecasting Landfilling Indicators Of Municipal Waste In Greece Using Univariate Time-series Model

Christos Liotiris, Z. Andreopoulou
{"title":"Forecasting Landfilling Indicators Of Municipal Waste In Greece Using Univariate Time-series Model","authors":"Christos Liotiris, Z. Andreopoulou","doi":"10.17700/jai.2022.13.1.636","DOIUrl":null,"url":null,"abstract":"Implementation of environmental policies, is one of the European Commission's key priorities, as confirmed by its proposal for the 7th Environment Action Programme and the Roadmap to a resource-efficient Europe. Subsequently, the European Union revised its waste legislation to address these challenges more adequately. As a result, the EU's Waste Framework Directive and Landfill Directive set binding targets for recycling municipal waste and diverting biodegradable municipal waste from landfills. This paper deals with the monitoring of municipal waste management operations in Greece, in terms of technical content and ability to reach the targets of the initiatives. In addition, a more detailed report on waste indicators published by Eurostat will be based on an Exploratory Data Analysis and on a Univariate time-series prediction model. Finally, the overall aim of this study is to gain maximum insight into the data and understand its underlying structure through graphical representation, to achieve the most accurate forecast for the landfilling operation.","PeriodicalId":37272,"journal":{"name":"International Journal of Sustainable Agricultural Management and Informatics","volume":"27 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sustainable Agricultural Management and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17700/jai.2022.13.1.636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Implementation of environmental policies, is one of the European Commission's key priorities, as confirmed by its proposal for the 7th Environment Action Programme and the Roadmap to a resource-efficient Europe. Subsequently, the European Union revised its waste legislation to address these challenges more adequately. As a result, the EU's Waste Framework Directive and Landfill Directive set binding targets for recycling municipal waste and diverting biodegradable municipal waste from landfills. This paper deals with the monitoring of municipal waste management operations in Greece, in terms of technical content and ability to reach the targets of the initiatives. In addition, a more detailed report on waste indicators published by Eurostat will be based on an Exploratory Data Analysis and on a Univariate time-series prediction model. Finally, the overall aim of this study is to gain maximum insight into the data and understand its underlying structure through graphical representation, to achieve the most accurate forecast for the landfilling operation.
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
利用单变量时间序列模型预测希腊城市垃圾填埋指标
环境政策的实施是欧盟委员会的主要优先事项之一,这一点在欧盟委员会提出的第七个环境行动计划和资源节约型欧洲路线图中得到了证实。随后,欧洲联盟修订了其废物立法,以更充分地应对这些挑战。因此,欧盟的《废物框架指令》和《垃圾填埋指令》为回收城市废物和从垃圾填埋场转移可生物降解的城市废物设定了具有约束力的目标。本文涉及希腊城市废物管理业务的监测,在技术含量和能力方面,以达到倡议的目标。此外,欧共体统计局将根据探索性数据分析和单变量时间序列预测模型出版一份关于废物指标的更详细报告。最后,本研究的整体目标是透过图形化的方式,最大程度地深入了解数据,并了解其基本结构,从而对堆填区的运作作出最准确的预测。
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
International Journal of Sustainable Agricultural Management and Informatics
International Journal of Sustainable Agricultural Management and Informatics Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
2.30
自引率
50.00%
发文量
23
期刊最新文献
Farmers’ usage of information and communication technologies for integrated farm management: An analytical study focusing on rural households of Bangladesh Exploring the Correlation between Brazilian Iron Ore Exports and the Chinese Construction Sector Farmer’s perception of the opportunites offered by drone technology in arable crop production A process-oriented data warehouse to support decision making process in crop production Using Agile in Implementing Agriculture AI Projects and Farm Management
×
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