{"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":"Albertus Stephanus Louw , Ram Avtar","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":"212 ","pages":"Article 107924"},"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\":\"Albertus Stephanus Louw , Ram Avtar\",\"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\":\"212 \",\"pages\":\"Article 107924\"},\"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}
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 , 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.
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.