AI Article Synopsis

  • There is an urgent need to verify emissions from fossil energy sources to enforce regulations, and this study shows how remote sensing can help achieve that.
  • The researchers observed simultaneous increases in CO2 and NO2 in an urban area with coal-fired power plants, revealing differing emission ratios based on the plants' technologies.
  • The study demonstrates that remote sensing data correlates well with ground measurements and can effectively track pollution sources, indicating high levels of regional pollution and offering a way to verify emission reductions from power plants.

Article Abstract

There is a pressing need to verify air pollutant and greenhouse gas emissions from anthropogenic fossil energy sources to enforce current and future regulations. We demonstrate the feasibility of using simultaneous remote sensing observations of column abundances of CO2, CO, and NO2 to inform and verify emission inventories. We report, to our knowledge, the first ever simultaneous column enhancements in CO2 (3-10 ppm) and NO2 (1-3 Dobson Units), and evidence of δ(13)CO2 depletion in an urban region with two large coal-fired power plants with distinct scrubbing technologies that have resulted in ∆NOx/∆CO2 emission ratios that differ by a factor of two. Ground-based total atmospheric column trace gas abundances change synchronously and correlate well with simultaneous in situ point measurements during plume interceptions. Emission ratios of ∆NOx/∆CO2 and ∆SO2/∆CO2 derived from in situ atmospheric observations agree with those reported by in-stack monitors. Forward simulations using in-stack emissions agree with remote column CO2 and NO2 plume observations after fine scale adjustments. Both observed and simulated column ∆NO2/∆CO2 ratios indicate that a large fraction (70-75%) of the region is polluted. We demonstrate that the column emission ratios of ∆NO2/∆CO2 can resolve changes from day-to-day variation in sources with distinct emission factors (clean and dirty power plants, urban, and fires). We apportion these sources by using NO2, SO2, and CO as signatures. Our high-frequency remote sensing observations of CO2 and coemitted pollutants offer promise for the verification of power plant emission factors and abatement technologies from ground and space.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4060651PMC
http://dx.doi.org/10.1073/pnas.1321883111DOI Listing

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