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无需补充地面测量即可对甲烷排放进行灵敏的无人机测绘。

Sensitive Drone Mapping of Methane Emissions without the Need for Supplementary Ground-Based Measurements.

作者信息

Gålfalk Magnus, Nilsson Påledal Sören, Bastviken David

机构信息

Department of Thematic Studies-Environmental Change, Linköping University, 581 83 Linköping, Sweden.

Tekniska verken i Linköping AB, Box 1500, 581 15 Linköping, Sweden.

出版信息

ACS Earth Space Chem. 2021 Oct 21;5(10):2668-2676. doi: 10.1021/acsearthspacechem.1c00106. Epub 2021 Jul 28.

DOI:10.1021/acsearthspacechem.1c00106
PMID:34712890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8543601/
Abstract

Methane (CH) is one of the main greenhouse gas for which sources and sinks are poorly constrained and better capacity of mapping landscape emissions are broadly requested. A key challenge has been comprehensive, accurate, and sensitive emission measurements covering large areas at a resolution that allows separation of different types of local sources. We present a sensitive drone-based system for mapping CH hotspots, finding leaks from gas systems, and calculating total CH fluxes from anthropogenic environments such as wastewater treatment plants, landfills, energy production, biogas plants, and agriculture. All measurements are made on-board the drone, with no requirements for additional ground-based instruments. Horizontal flight patterns are used to map and find emission sources over large areas and vertical flight patterns for total CH fluxes using mass balance calculations. The small drone system (6.7 kg including batteries, sensors, loggers, and weather proofing) maps CH concentrations and wind speeds at 1 Hz with a precision of 0.84 ppb/s and 0.1 m/s, respectively. As a demonstration of the system and the mass balance method for a CH source that is difficult to assess with traditional methods, we have quantified fluxes from a sludge deposit at a wastewater treatment plant. Combining data from three 10 min flights, emission hotspots could be mapped and a total flux of 178.4 ± 8.1 kg CH d was determined.

摘要

甲烷(CH₄)是主要的温室气体之一,其源汇情况尚不清楚,人们广泛要求提高绘制景观排放图的能力。一个关键挑战是要在能分辨不同类型本地源的分辨率下,对大面积区域进行全面、准确且灵敏的排放测量。我们展示了一种基于无人机的灵敏系统,用于绘制CH₄热点区域、查找气体系统泄漏点以及计算来自人为环境(如污水处理厂、垃圾填埋场、能源生产、沼气厂和农业)的CH₄总通量。所有测量均在无人机上进行,无需额外的地面仪器。水平飞行模式用于大面积绘制和查找排放源,垂直飞行模式则通过质量平衡计算来获取CH₄总通量。小型无人机系统(包括电池、传感器、记录仪和防护装置共6.7千克)以1赫兹的频率绘制CH₄浓度和风速图,精度分别为0.84 ppb/秒和0.1米/秒。作为该系统以及用质量平衡方法对传统方法难以评估的CH₄源进行示范,我们已经对污水处理厂污泥沉积物的通量进行了量化。结合三次10分钟飞行的数据,绘制出了排放热点区域,并确定总通量为178.4±8.1千克CH₄/天。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04ba/8543601/55fbfc765f15/sp1c00106_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04ba/8543601/adfbc60c7ca5/sp1c00106_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04ba/8543601/4ebca1eba576/sp1c00106_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04ba/8543601/7ca8ad8e2edb/sp1c00106_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04ba/8543601/55fbfc765f15/sp1c00106_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04ba/8543601/adfbc60c7ca5/sp1c00106_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04ba/8543601/4ebca1eba576/sp1c00106_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04ba/8543601/7ca8ad8e2edb/sp1c00106_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04ba/8543601/55fbfc765f15/sp1c00106_0005.jpg

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