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有能力编制准确的自下而上的、逐年的垃圾填埋场、石油和天然气作业和湿地清单，这些领域代表了加拿大大部分的甲烷（CH4）排放。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，而且往往是间歇性的。成像傅里叶变换光谱仪（IFTSs）最近由魁北克市的Telops公司商业化，似乎非常适合这些来源，因为它们可以测量大面积；对低CH4浓度很敏感，对不确定的气体温度和成分也很敏感。研究团队正在利用他们在光谱、遥感、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、加拿大鸭子无限公司以及加拿大石油、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，利用HS成像来量化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制释放实验，并最终从垃圾填埋场、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ifts编制的高度精确的甲烷清单，为科学政策和执行环境法律提供信息。这项研究将为Telops提供一种新的环境监测能力，加拿大的石油和废物管理行业将利用这种能力来减少排放。最后，多学科培训环境将使至少7名HQP具备联邦政府、监管机构和加拿大不断发展的清洁技术部门所需的技能。