Development of hyperspectral imaging platforms for quantifying methane emissions from managed wetlands, landfills, and the upstream oil and gas industry

开发高光谱成像平台，用于量化管理湿地、垃圾填埋场以及上游石油和天然气行业的甲烷排放量

• 批准号: 577095-2022
• 负责人: Daun, KyleKJ
• 金额: $ 19.52万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760335
• 关键词: Development; hyperspectral; imaging; platforms; quantifying

Canada urgently needs a domestic capacity to compile accurate bottom-up, year-over-year inventories from landfills, oil and gas operations, and wetlands, which represent the majority of Canada's methane (CH4) emissions. Landfill and wetland emissions are particularly challenging since they are highly dispersed and often intermittent. Imaging Fourier transform spectrometers (IFTSs), recently commercialized by Quebec City-based Telops, Inc., appear well-suited to these sources, since they can survey large areas; are sensitive to low CH4 concentrations, and are robust to uncertain gas temperatures and compositions. The research team is leveraging their expertise in spectroscopy, remote sensing, and CH4 emission quantification from landfills, wetlands, and Canada's oil and gas industry, to fully realize the potential of this technology. By working alongside scientists with Defence Research Development Canada, Environment and Climate Change Canada, and Ducks Unlimited Canada, along with Canada's oil and gas and waste management industries, they will develop a made-in-Canada solution for quantifying CH4 emissions using HS imaging. Research will commence with laboratory studies to develop machine learning measurement models, transition to controlled release experiments from point and diffuse sources, and culminate with proof-of-concept measurements from landfills, wetlands, and an upstream petroleum facility.The Federal and provincial governments will use highly accurate IFTS-compiled methane inventories to inform science-based policies and enforce environmental laws. This research will give Telops a new capacity for environmental monitoring, which Canadian petroleum and waste management industries will use to reduce their emissions. Finally, the multidisciplinary training environment will equip at least 7 HQP with skills needed by the Federal government, regulators, and Canada's growing clean technology sector.

加拿大迫切需要国内能力来编制准确的自下而上的逐年清单，包括垃圾填埋场、石油和天然气作业以及湿地，这些领域占加拿大甲烷 (CH4) 排放量的大部分。垃圾填埋场和湿地的排放尤其具有挑战性，因为它们高度分散且通常是间歇性的。总部位于魁北克市的 Telops, Inc. 最近将成像傅里叶变换光谱仪 (IFTS) 商业化，似乎非常适合这些来源，因为它们可以测量大面积区域；对低 CH4 浓度敏感，并且对不确定的气体温度和成分具有鲁棒性。研究团队正在利用他们在光谱学、遥感以及垃圾填埋场、湿地和加拿大石油和天然气行业的甲烷排放量化方面的专业知识，充分发挥这项技术的潜力。通过与加拿大国防研究发展部、加拿大环境与气候变化部、Ducks Unlimited Canada 以及加拿大石油天然气和废物管理行业的科学家合作，他们将开发一种加拿大制造的解决方案，用于使用 HS 成像量化 CH4 排放。研究将从实验室研究开始，开发机器学习测量模型，过渡到点源和扩散源的控释实验，最后通过垃圾填埋场、湿地和上游石油设施进行概念验证测量。联邦和省政府将使用高度准确的 IFTS 编制的甲烷清单来为基于科学的政策提供信息并执行环境法。这项研究将为 Telops 提供新的环境监测能力，加拿大石油和废物管理行业将利用该能力来减少排放。最后，多学科培训环境将为至少 7 名总部人员配备联邦政府、监管机构和加拿大不断发展的清洁技术行业所需的技能。