Detecting long-term changes in point-source fossil CO<sub>2</sub> emissions with tree ring archives

We examine the utility of tree ring <sup>14</sup>C archives for detecting long-term changes in fossil CO<sub>2</sub> emissions from a point source. Trees assimilate carbon from the atmosphere during photosynthesis, in the process faithfully recording the average atmospheri...

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Main Authors: E. D. Keller, J. C. Turnbull, M. W. Norris
Format: Article
Language:English
Published: Copernicus Publications 2016-05-01
Series:Atmospheric Chemistry and Physics
Online Access:https://www.atmos-chem-phys.net/16/5481/2016/acp-16-5481-2016.pdf
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author E. D. Keller
J. C. Turnbull
J. C. Turnbull
M. W. Norris
author_facet E. D. Keller
J. C. Turnbull
J. C. Turnbull
M. W. Norris
author_sort E. D. Keller
collection DOAJ
description We examine the utility of tree ring <sup>14</sup>C archives for detecting long-term changes in fossil CO<sub>2</sub> emissions from a point source. Trees assimilate carbon from the atmosphere during photosynthesis, in the process faithfully recording the average atmospheric <sup>14</sup>C content in each new annual tree ring. Using <sup>14</sup>C as a proxy for fossil CO<sub>2</sub>, we examine interannual variability over six years of fossil CO<sub>2</sub> 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 CO<sub>2</sub> 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.
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spelling doaj.art-dfaa599f3a7a453dab9ab21290a42eab2022-12-22T01:34:40ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242016-05-01165481549510.5194/acp-16-5481-2016Detecting long-term changes in point-source fossil CO<sub>2</sub> emissions with tree ring archivesE. D. Keller0J. C. Turnbull1J. C. Turnbull2M. W. Norris3National Isotope Centre, GNS Science, Lower Hutt, New ZealandNational Isotope Centre, GNS Science, Lower Hutt, New ZealandCIRES, University of Colorado, Boulder, CO, USANational Isotope Centre, GNS Science, Lower Hutt, New ZealandWe examine the utility of tree ring <sup>14</sup>C archives for detecting long-term changes in fossil CO<sub>2</sub> emissions from a point source. Trees assimilate carbon from the atmosphere during photosynthesis, in the process faithfully recording the average atmospheric <sup>14</sup>C content in each new annual tree ring. Using <sup>14</sup>C as a proxy for fossil CO<sub>2</sub>, we examine interannual variability over six years of fossil CO<sub>2</sub> 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 CO<sub>2</sub> 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.https://www.atmos-chem-phys.net/16/5481/2016/acp-16-5481-2016.pdf
spellingShingle E. D. Keller
J. C. Turnbull
J. C. Turnbull
M. W. Norris
Detecting long-term changes in point-source fossil CO<sub>2</sub> emissions with tree ring archives
Atmospheric Chemistry and Physics
title Detecting long-term changes in point-source fossil CO<sub>2</sub> emissions with tree ring archives
title_full Detecting long-term changes in point-source fossil CO<sub>2</sub> emissions with tree ring archives
title_fullStr Detecting long-term changes in point-source fossil CO<sub>2</sub> emissions with tree ring archives
title_full_unstemmed Detecting long-term changes in point-source fossil CO<sub>2</sub> emissions with tree ring archives
title_short Detecting long-term changes in point-source fossil CO<sub>2</sub> emissions with tree ring archives
title_sort detecting long term changes in point source fossil co sub 2 sub emissions with tree ring archives
url https://www.atmos-chem-phys.net/16/5481/2016/acp-16-5481-2016.pdf
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AT jcturnbull detectinglongtermchangesinpointsourcefossilcosub2subemissionswithtreeringarchives
AT mwnorris detectinglongtermchangesinpointsourcefossilcosub2subemissionswithtreeringarchives