Quantifying Thermal Power Plants Co2 Emissions Globally from Space Using Hyperspectral Imagers DOI

Menglin Lei,

Yuzhong Zhang, Xuyang Huang

et al.

Published: Jan. 1, 2024

Language: Английский

Linear integrated mass enhancement: A method for estimating hotspot emission rates from space-based plume observations DOI Creative Commons
Janne Hakkarainen, Iolanda Ialongo, Daniel J. Varon

et al.

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 319, P. 114623 - 114623

Published: Feb. 6, 2025

Language: Английский

Citations

2
Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1 DOI

Ge Han,

Yiyang Huang, Tianqi Shi

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 313, P. 114368 - 114368

Published: Aug. 15, 2024

Language: Английский

Citations

9
Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches DOI
Cheng He, Xiao Lu, Yuzhong Zhang

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 308, P. 114192 - 114192

Published: May 6, 2024

Language: Английский

Citations

5
Quantifying CO2 Emissions From Smaller Anthropogenic Point Sources Using OCO‐2 Target and OCO‐3 Snapshot Area Mapping Mode Observations DOI Creative Commons
Omid Moeini, Ray Nassar, Jon‐Paul Mastrogiacomo

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(2)

Published: Jan. 27, 2025

Abstract We quantify CO 2 emissions from smaller anthropogenic point sources compared with earlier satellite studies, which have mostly focused on mid‐sized (∼10 MtCO /year) and larger fossil fuel burning power plants. Two types of Orbiting Carbon Observatory (OCO) observation modes are used: OCO‐2 Target mode OCO‐3 Snapshot Area Mapping (SAM) mode. Methods previously used SAMs adapted to Targets for the first time, demonstrating a similar capability track emission changes at Bełchatów Power Station. then applied in Canada: Boundary Dam Poplar River Stations Saskatchewan, Suncor Syncrude Mildred Lake mined oil sands processing facilities northern Alberta. verify our method nearby Colstrip Station Montana by comparison hourly reported values. For Canadian sources, only annual reported, estimates cannot be directly compared. Emissions derived single overpass correspond daily or finer temporal scales thus do not account source intermittency variability, requires multiple revisits reliably estimate emissions. Finally, we average repeated improve weak enhancement signals above background noise. Averaging yields mixed results, improvements achieved under certain conditions. These studies help clarify capabilities limitations quantification current satellites advance plans operational monitoring future missions.

Language: Английский

Citations

0
Performance of Airborne Imaging Spectrometers for Carbon Dioxide Detection and Emission Quantification DOI Creative Commons
Jinsol Kim, Daniel H. Cusworth, Alana Ayasse

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(7)

Published: April 3, 2025

Abstract Carbon dioxide (CO 2 ) emissions from strong point sources account for a significant proportion of the global greenhouse gas emissions, and their associated uncertainties in bottom‐up estimates remain substantial. Imaging spectrometers provide capability to monitor large source CO help reduce uncertainties. In this study, we assess an airborne monitoring system with temporally sparse observations constrain annual at both facility regional scales. We use power plant 2022 2023 compare derived emission rates scale stack across United States. show that concentration enhancements retrieved using lognormal matched filter are suitable quantification, achieving low bias uncertainty estimated rates. find can be effectively constrained by offsetting errors identified scale, 30% uncertainty.

Language: Английский

Citations

0
Relating Multi-Scale Plume Detection and Area Estimates of Methane Emissions: A Theoretical and Empirical Analysis DOI Creative Commons
Sudhanshu Pandey, John R. Worden, Daniel H. Cusworth

et al.

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Surface emissions of atmospheric trace gases like methane are typically inferred through two methodologies: plume detection and area-scale estimation. Integrating these methods can enhance emission monitoring but remains challenging due to irregular sampling, variable sensitivities, differing spatial resolutions among plume-detecting instruments. In this study, we develop a theoretical framework link plume-scale estimates for regions with dense point-source emissions. Our analysis demonstrates that the resolution instruments influences observed distribution rates. Empirical tests using oil gas data from Permian Basin reveal robust linear relationship between summed gridded rates estimates. After accounting variability in sampling detectors, derived TROPOMI flux inversions strongly correlate weekly sums (R2 > 0.94, P < 0.005). We also assess feasibility inform within Bayesian assimilation find improves constant EDF inventory, bringing it into agreement independent TROPOMI-derived This work highlights that, given sufficient favorable observational conditions, observations aircraft, satellites, situ estimates, particularly sector.

Language: Английский

Citations

0
Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning DOI Creative Commons
Heather D. Couture, Madison Alvara, Jeremy Freeman

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(7), P. 1290 - 1290

Published: April 6, 2024

Combustion power plants emit carbon dioxide (CO2), which is a major contributor to climate change. Direct emissions measurement cost-prohibitive globally, while reporting varies in detail, latency, and granularity. To fill this gap greatly increase the number of worldwide with independent monitoring, we developed applied machine learning (ML) models using plant water vapor plumes as proxy signals estimate electric generation CO2 Landsat 8, Sentinel-2, PlanetScope imagery. Our ML estimated activity on each image snapshot, then an aggregation model predicted utilization over 30-day period. Lastly, emission factors specific region, fuel, technology were used convert electricity into emissions. Models trained reported hourly data US, Europe, Australia validated additional from Australia, Türkiye, India. All results sufficiently large sample sizes indicate that our outperformed baseline approaches. In validating against available data, calculated root mean square error 1.75 TWh (236 across 17 countries 4 years) 2.18 Mt (207 years), respectively. Ultimately, method constitute 32% global emissions, by Climate TRACE, averaged period 2015–2022. This dataset most comprehensive free-of-cost point-source monitoring system currently known authors made freely public support reduction.

Language: Английский

Citations

3
CO2 Emissions Estimate From Mexico City Using Ground‐ and Space‐Based Remote Sensing DOI Creative Commons
Ke Che, Thomas Lauvaux, Noémie Taquet

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(20)

Published: Oct. 25, 2024

Abstract The Mexico City Metropolitan Area (MCMA) stands as one of the most densely populated urban regions globally. To quantify emissions in MCMA, we independently assimilated observations from a dense column‐integrated Fourier transform infrared (FTIR) network and OCO‐3 Snapshot Map between October 2020 May 2021. Applying computationally efficient analytical Bayesian inversion technique, inverted for surface fluxes at high spatio‐temporal resolutions (1‐km 1‐hr). fossil fuel (FF) emission estimates 5.08 6.77 Gg/hr reported by global local inventories were optimized to 4.85 5.51 based on FTIR over this 7 month period, highlighting convergence posterior estimates. modeled biogenic flux estimate −0.14 was improved −0.33 −0.27 Gg/hr, respectively. It is worth noting that utilizing three primary sites significantly enhanced accuracy (13.6 29.2%) around other four. Using can improve simulation with data set. shows similar decreasing trend FF (from 6.37 6.36 5.04 Gg/hr) FTIR, but its correction trends sources differ, changing 0.37 0.48 Gg/hr. reason OCO‐3's lower temporal sampling density. Aligning timing yielded comparable corrections emissions, yet discrepancies persisted, which be attributed their different locations rural region discrepancy X observations. Our findings mark significant step toward validating results metropolitan region.

Language: Английский

Citations

2
Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives DOI Creative Commons
Hui Li, Jiaxin Qiu, Kexin Zhang

et al.

Frontiers of Environmental Science & Engineering, Journal Year: 2024, Volume and Issue: 19(1)

Published: Oct. 18, 2024

Language: Английский

Citations

2
Comparing Point Source CO2 Emission Rate Estimates From Near‐Simultaneous OCO‐3 and EMIT Observations DOI Creative Commons
Robert Nelson, Daniel H. Cusworth, Andrew K. Thorpe

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(23)

Published: Dec. 9, 2024

Abstract Carbon dioxide () emissions from combustion sources are uncertain in many places across the globe. Here, we estimate emission rates a small number of collocated observations Orbiting Observatory‐3 (OCO‐3) and Earth Surface Mineral Dust Source Investigation (EMIT), both onboard International Space Station (ISS). These near‐simultaneous measurements allow for an unprecedented comparison two unique space‐based sensors over isolated coal‐fired power plants multi‐source scenes China. We using integrated mass enhancement Gaussian plume model. Where validation data is available, 15 19 estimated have errors less than 37%. For scenes, EMIT can individual facilities but its aggregate 42% lower OCO‐3, likely because it cannot detect or diffuse emissions. with excellent precision, may better constrain entire scene.

Language: Английский

Citations

2