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，以汇编来自垃圾填埋场、石油和天然气作业以及湿地的准确的自下而上的年度清单，这些活动代表了加拿大甲烷（CH 4）排放的大部分。垃圾填埋场和湿地的排放特别具有挑战性，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（IFFT）最近由总部位于魁北克市的Telops，Inc.商业化，似乎非常适合这些来源，因为它们可以调查大面积;对低CH 4浓度敏感，并且对不确定的气体温度和成分很稳定。该研究团队正在利用他们在光谱学，遥感和垃圾填埋场，湿地和加拿大石油和天然气行业的CH 4排放量化方面的专业知识，以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沿着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CH 4排放。研究将从实验室研究开始，以开发机器学习测量模型，过渡到从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高度准确的IFS编制的甲烷库存，为基于科学的政策提供信息，并执行环境法律。这项研究将为Telops提供一种新的环境监测能力，加拿大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。