Fosco D, Molfetta M De, Renzulli P, Notarnicola B, Carella C, Fedele G
Ionian Department, University of Bari, Italy.
Ionian Department, University of Bari, Italy.
Waste Manag. 2025 Mar;195:79-91. doi: 10.1016/j.wasman.2025.01.033. Epub 2025 Jan 31.
An accurate measurement of anthropogenic methane emissions is essential for improving the representation of greenhouse gas inventories and for mitigating the effects of climate change. Often, theoretical models overestimate actual emission values, while field measurements tend to be costly and/or labour-intensive. Landfills represent an important emission sector, necessitating continued investment in innovation and technology to limit fugitive emissions, particularly of methane. This study presents a novel method based on a mass balance approach to estimate fugitive methane emissions from landfills and has been tested at a solid waste landfill in Italy. Measurements were acquired using a drone equipped with a sensor, completed in just a few minutes and processed directly in the field. Results from two tests conducted a month apart are provided, each consisting of two downwind flights at the site. Emission rates varied from 320 ± 280 mg mh to 578 ± 385 mg mh. The data was subsequently compared with the results obtained using the flux chamber method during the second test, highlighting values that were 2 to 4 times higher than those from the ground-based method. The findings of this study highlight the potential of UAV-based methodologies for measuring methane emissions compared to traditional methods. The speed of execution and processing is indeed crucial to providing accurate data and optimising both timings and flight models during an investigation.
准确测量人为甲烷排放量对于改进温室气体清单的表述以及减轻气候变化的影响至关重要。通常,理论模型会高估实际排放值,而实地测量往往成本高昂且/或劳动强度大。垃圾填埋场是一个重要的排放源,因此需要持续投资于创新和技术以限制逃逸排放,尤其是甲烷的排放。本研究提出了一种基于质量平衡方法的新方法来估算垃圾填埋场的逃逸甲烷排放量,并已在意大利的一个固体废弃物填埋场进行了测试。测量是使用配备传感器的无人机进行的,只需几分钟即可完成并直接在现场进行处理。提供了相隔一个月进行的两次测试的结果,每次测试在该场地进行两次顺风飞行。排放率在320±280毫克/米小时至578±385毫克/米小时之间变化。随后将该数据与第二次测试期间使用通量室法获得的结果进行了比较,结果表明该方法得到的值比地面方法得到的值高2至4倍。这项研究的结果突出了与传统方法相比,基于无人机的方法在测量甲烷排放方面的潜力。执行和处理速度对于在调查期间提供准确数据以及优化时间安排和飞行模型确实至关重要。