Towards Carbon Dioxide emission estimation with a stationary hyperspectral camera

Shortwave
DOI: 10.5194/egusphere-egu22-3924 Publication Date: 2022-03-27T19:18:47Z
ABSTRACT
<p>Carbon Dioxide (CO<sub>2</sub>) is the most important anthropogenic greenhouse gas driving global climate change. Strong point sources like coal-fired power plants contribute roughly 30% to CO<sub>2</sub> emissions. Precise knowledge about distribution and strength of these target many ongoing planned research missions, e.g., Orbiting Carbon Observatory-2 (OCO2, Wu et al., 2018), Copernicus CO2 Monitoring (CO2M, Sierk 2019), high-resolution missions CO2Image (Strandgren 2020). Spatially resolving exhaust plumes with imaging spectroscopy allows an estimate source’s emission. efforts in shortwave-infrared spectral range have been exclusively top-down viewing geometry from satellites (e.g., Cusworth 2021) or airplanes Foote 2021).<br>We present first results emission estimation hyperspectral ground-based geometry. We deploy a NEO HySpex SWIR-384 camera stationary vicinity strong source. Thus, can repeatedly take images spectra (1−2.5 μm) sky-scattered sunlight. This us retrieve atmospheric enhancements adapted matched filter algorithm (Foote 2020, 2 μm absorption band. Imaging horizontal enables observing time-averaged vertical profile plume. First case studies at local plant (7 MtCO2/yr) Mannheim demonstrate our ability reliably detect above chimneys. Our focus on modeling temporal evolution plume rise (Janicke Janicke, 2001) use it integrated mass enhancement observed instantaneous emissions Such estimates complement bottom-up inventories state-of-the-art measurements future. Furthermore, this technique may readily apply gases methane, which we plan examine upcoming field campaign Upper Silesian Coal Basin.</p><p><br><strong>References</strong><br>Cusworth 2021: Quantifying Global Power Plant Emissions With Spectroscopy, https://doi.org/10.1029/2020AV000350<br>Foote 2020: Fast Accurate Retrieval Methane Concentration Spectrometer Data Using Sparsity Prior, http://arxiv.org/abs/2003.02978<br>Foote Impact Scene-Specific Enhancement Spectra Matched Filter Greenhouse Gas Retrievals https://doi.org/10.1016/j.rse.2021.112574<br>Janicke, U. L., 2001: A Three-Dimensional Plume Rise Model for Dry Wet Plumes, https://doi.org/10.1016/S1352-2310(00)00372-1<br>Sierk 2019: The European Mission: Observing Anthropogenic Space, https://doi.org/10.1117/12.2535941<br>Strandgren Towards Spaceborne Localized Emissions: An Instrument Concept Performance Assessment, https://doi.org/10.5194/amt-13-2887-2020<br>Wu 2018: OCO-2 Satellite Observations RemoTeC Algorithm Validation TCCON Measurements, https://doi.org/10.5194/amt-11-3111-2018</p>
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