Article

 

Detecting long-term changes in point-source fossil CO2 emissions with tree ring archives Public Deposited

https://scholar.colorado.edu/concern/articles/5d86p092t
Abstract
  • We examine the utility of tree ring ¹⁴C archives for detecting long-term changes in fossil CO₂ emissions from a point source. Trees assimilate carbon from the atmosphere during photosynthesis, in the process faithfully recording the average atmospheric ¹⁴C content in each new annual tree ring. Using ¹⁴C as a proxy for fossil CO₂, we examine interannual variability over six years of fossil CO₂ observations between 2004–2005 and 2011–2012 from two trees growing near the Kapuni Gas Treatment Plant in rural Taranaki, New Zealand. We quantify the amount of variability that can be attributed to transport and meteorology by simulating constant point-source fossil CO₂ emissions over the observation period with the atmospheric transport model WindTrax. We compare model simulation results to observations and calculate the amount of change in emissions that we can detect with new observations over annual or multi-year time periods, given both the measurement uncertainty of 1ppm and the modelled variation in transport. In particular, we ask, what is the minimum amount of change in emissions that we can detect using this method, given a reference period of six years? We find that changes of 42 % or more could be detected in a new sample from one year at the same observation location or 22 % in the case of four years of new samples. This threshold is reduced and the method becomes more practical the more the size of the signal increases. For point sources 10 times larger than the Kapuni plant (a more typical size for power plants worldwide), it would be possible to detect sustained emissions changes on the order of 10 %, given suitable meteorology and observations.
Creator
Date Issued
  • 2016-05-03
Academic Affiliation
Journal Title
Journal Issue/Number
  • 9.0
Journal Volume
  • 19.0
Last Modified
  • 2019-12-06
Resource Type
Rights Statement
DOI
ISSN
  • 1680-7316
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