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Quantifying NO point sources with Landsat and Sentinel-2 satellite observations of NO plumes. | LitMetric

AI Article Synopsis

  • Landsat and Sentinel-2 satellites effectively detect nitrogen oxide (NO) plumes from power plants at 10 to 60 m pixel resolution, allowing for the analysis of emissions over time.
  • The study involved a detailed examination of NO emissions from power plants in Saudi Arabia and the U.S., with a focus on Riyadh's power plant over a 13-year period, noting trends and changes in emission levels.
  • Results indicated that emissions peak in summer due to higher electricity demand, with a gradual decline observed after the implementation of Saudi Arabia's Ambient Air Standard in 2012.

Article Abstract

We show that the Landsat and Sentinel-2 satellites can detect NO plumes from large point sources at 10 to 60 m pixel resolution in their blue and ultrablue bands. We use the resulting NO plume imagery to quantify nitrogen oxides (NO) emission rates for several power plants in Saudi Arabia and the United States, including a 13-y analysis of 132 Landsat plumes from Riyadh power plant 9 from 2009 through 2021. NO in the plumes initially increases with distance from the source, likely reflecting recovery from ozone titration. The fine pixel resolutions of Landsat and Sentinel-2 enable separation of individual point sources and stacks, including in urban background, and the long records enable examination of multidecadal emission trends. Our inferred NO emission rates are consistent with previous estimates to within a precision of about 30%. Sources down to ~500 kg h can be detected over bright, quasi-homogeneous surfaces. The 2009 to 2021 data for Riyadh power plant 9 show a strong summer peak in emissions, consistent with increased power demand for air conditioning, and a marginal slow decrease following the introduction of Saudi Arabia's Ambient Air Standard 2012.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11228473PMC
http://dx.doi.org/10.1073/pnas.2317077121DOI Listing

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