利用数字高程变化地图测量全球垃圾填埋场倾倒统计数据的方法

IF 11.2 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Resources Conservation and Recycling Pub Date : 2024-09-20 DOI:10.1016/j.resconrec.2024.107924
{"title":"利用数字高程变化地图测量全球垃圾填埋场倾倒统计数据的方法","authors":"","doi":"10.1016/j.resconrec.2024.107924","DOIUrl":null,"url":null,"abstract":"<div><p>Often countries don't have adequate systems in place to measure and centrally report waste disposal statistics, yet such data are necessary to inform waste policy and resource allocation. This study evaluates the possibility of using a global elevation change map dataset to remotely estimate volumetric changes – and therefore waste dumping patterns – in landfill sites around the world. The methodology is applied to 100 landfill sites across 5 continents, and the temporal coverage, error estimates, and a comparison with officially reported statistics for selected landfills are shown. The dataset coverage is 2018 to 2021, and 76 % of study sites had sufficient data to allow for volumetric change estimation. Median estimated volume change error in individual sites is 14.7 <span><math><mrow><msup><mi>m</mi><mn>3</mn></msup><mo>·</mo><mi>d</mi><mi>a</mi><msup><mi>y</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></math></span>, but error increases with short temporal data coverage. Estimated volume changes agree with officially reported tonnages for considered sites. National waste authorities or non-governmental bodies could utilize this approach to improve waste statistics for underreported regions.</p></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":null,"pages":null},"PeriodicalIF":11.2000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methodology for measuring landfill dumping statistics globally using Digital Elevation Change maps\",\"authors\":\"\",\"doi\":\"10.1016/j.resconrec.2024.107924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Often countries don't have adequate systems in place to measure and centrally report waste disposal statistics, yet such data are necessary to inform waste policy and resource allocation. This study evaluates the possibility of using a global elevation change map dataset to remotely estimate volumetric changes – and therefore waste dumping patterns – in landfill sites around the world. The methodology is applied to 100 landfill sites across 5 continents, and the temporal coverage, error estimates, and a comparison with officially reported statistics for selected landfills are shown. The dataset coverage is 2018 to 2021, and 76 % of study sites had sufficient data to allow for volumetric change estimation. Median estimated volume change error in individual sites is 14.7 <span><math><mrow><msup><mi>m</mi><mn>3</mn></msup><mo>·</mo><mi>d</mi><mi>a</mi><msup><mi>y</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></math></span>, but error increases with short temporal data coverage. Estimated volume changes agree with officially reported tonnages for considered sites. National waste authorities or non-governmental bodies could utilize this approach to improve waste statistics for underreported regions.</p></div>\",\"PeriodicalId\":21153,\"journal\":{\"name\":\"Resources Conservation and Recycling\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":11.2000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Resources Conservation and Recycling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0921344924005172\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Conservation and Recycling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921344924005172","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

通常情况下,国家没有足够的系统来测量和集中报告废物处理统计数据,但这些数据对于制定废物政策和资源分配非常必要。本研究评估了使用全球高程变化地图数据集远程估算全球垃圾填埋场体积变化的可能性,从而估算垃圾倾倒模式。该方法适用于五大洲的 100 个垃圾填埋场,并显示了时间覆盖范围、误差估计以及与官方报告的部分垃圾填埋场统计数据的比较。数据集的覆盖范围为 2018 年至 2021 年,76% 的研究地点有足够的数据进行体积变化估算。个别地点的估计体积变化误差中值为 14.7 立方米-天-1,但误差会随着时间数据覆盖范围的缩短而增加。估计的体积变化与官方报告的考虑地点的吨数一致。国家废物管理机构或非政府机构可利用这种方法改进报告不足地区的废物统计数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Methodology for measuring landfill dumping statistics globally using Digital Elevation Change maps

Often countries don't have adequate systems in place to measure and centrally report waste disposal statistics, yet such data are necessary to inform waste policy and resource allocation. This study evaluates the possibility of using a global elevation change map dataset to remotely estimate volumetric changes – and therefore waste dumping patterns – in landfill sites around the world. The methodology is applied to 100 landfill sites across 5 continents, and the temporal coverage, error estimates, and a comparison with officially reported statistics for selected landfills are shown. The dataset coverage is 2018 to 2021, and 76 % of study sites had sufficient data to allow for volumetric change estimation. Median estimated volume change error in individual sites is 14.7 m3·day1, but error increases with short temporal data coverage. Estimated volume changes agree with officially reported tonnages for considered sites. National waste authorities or non-governmental bodies could utilize this approach to improve waste statistics for underreported regions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Resources Conservation and Recycling
Resources Conservation and Recycling 环境科学-工程:环境
CiteScore
22.90
自引率
6.10%
发文量
625
审稿时长
23 days
期刊介绍: The journal Resources, Conservation & Recycling welcomes contributions from research, which consider sustainable management and conservation of resources. The journal prioritizes understanding the transformation processes crucial for transitioning toward more sustainable production and consumption systems. It highlights technological, economic, institutional, and policy aspects related to specific resource management practices such as conservation, recycling, and resource substitution, as well as broader strategies like improving resource productivity and restructuring production and consumption patterns. Contributions may address regional, national, or international scales and can range from individual resources or technologies to entire sectors or systems. Authors are encouraged to explore scientific and methodological issues alongside practical, environmental, and economic implications. However, manuscripts focusing solely on laboratory experiments without discussing their broader implications will not be considered for publication in the journal.
期刊最新文献
Unlocking sustainable lithium: A comparative life cycle assessment of innovative extraction methods from brine Packaging the future: Determinants of use intentions and incentive structures of reusable packaging systems Sustainable electroless nutrient recovery from natural agro-industrial and livestock farm wastewater effluents with a flow cell reactor Evaluation of sustainable waste management: An analysis of techno-economic and life cycle assessments of municipal solid waste sorting and decontamination Mining the atmosphere: A concrete solution to global warming
×
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