Adam Green, Campbell Scientific
Avery Opalka, University of Waterloo
Bryn Reynolds, Carleton University
Mu-An Tsai, University of Waterloo
Akshara Withanage, University of Waterloo
Methane is a powerful greenhouse gas with a global warming potential that is 27.0-29.8 times greater than carbon dioxide over a 100-year period, making it a key contributor to climate change. Despite this importance, there is a lack of data on methane emissions in comparison to other greenhouse gases, such as carbon dioxide. Additional measurements of methane, with a focus on environmental controls, and spatial and temporal variation, will be essential for updating national greenhouse gas budgets, understanding the benefits and trade-offs of mitigation efforts, and predicting how emissions are altered under a changing climate. We welcome research conducted at both natural and disturbed ecosystems and other natural and anthropogenic sources in Canada, including lakes, wetlands, artificial water bodies (e.g., reservoirs, stormwater ponds, farm ponds), agriculture, landfills and industrial facilities. There are multiple established approaches to the quantification of methane emissions across temporal and spatial scales, including flux chambers, eddy covariance, remote sensing and modelling. We also welcome studies on new approaches and technologies of quantifying methane emissions. We hope the discussions will improve our knowledge of methane dynamics across Canada and provide a greater understanding of our mitigation efforts.
• 4:00 pm – 4:15 pm | Quantification and Determinants of Greenhouse Gas Fluxes in Urban Wetlands and Stormwater Ponds – Akshara Withanage
• 4:15 pm – 4:30 pm | Design of a low-cost floating flux chamber to quantify emissions from small urban waterbodies – Bryn Reynolds
• 4:30 pm – 4:45 pm | Hyperspectral imaging of diffuse methane emissions from aquatic ecosystems – Avery Opalka
• 4:45 pm – 5:00 pm | Assessing the Feasibility of Using Ground-based Hyperspectral Imaging to Quantify Methane Emissions from Diffuse Sources Via a Controlled Release Study – Mu-An Tsai
• 5:00 pm – 5:15 pm | FORCES BEHIND THE FLUX: USING MACHINE LEARNING TO MODEL SMALL GHG DATASETS FROM RESTORED WETLANDS OF SOUTHERN ONTARIO – Tonya DelSontro
• 5:15 pm – 5:30 pm | Evaluation of a New Trace-Gas Analyzer Designed for Eddy Covariance Flux Measurements of Methane (CH4) and Nitrous Oxide (N2O) – Adam Green
Halifax NS
Canada