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Understanding factors influencing the detection of mercury policies in modelled Laurentian Great Lakes wet deposition Giang, Amanda; Song, Shaojie; Muntean, Marilena; Janssens-Maenhout, Greet; Harvey, Abigail; Berg, Elizabeth; Selina, Noelle E.
Abstract
We use chemical transport modelling to better understand the extent to which policy-related anthropogenic mercury emissions changes (a policy signal) can be statistically detected in wet deposition measurements in the Great Lakes region on the subdecadal scale, given sources of noise. In our modelling experiment, we consider hypothetical regional (North American) and global (rest of the world) policy changes, consistent with existing policy efforts (Δglobal = -18%; (Δregional = -30%) that divide an eight-year period. The magnitude of statistically significant (p<0.1) pre- and post-policy period wet deposition differences, holding all else constant except for the policy change, ranges from -0.3 to -2.0% for the regional policy and -0.8 to -2.7% for the global policy. We then introduce sources of noise—trends and variability in factors that are exogenous to the policy action—and evaluate the extent to which the policy signal can still be detected. For instance, technology-related variability in emissions magnitude and speciation can shift the magnitude of differences between periods, in some cases dampening the policy effect. We find that interannual variability in meteorology has the largest effect of the sources of noise considered, driving deposition differences between periods ±20%, exceeding the magnitude of the policy signal. However, our simulations suggest that gaseous elemental mercury concentration may be more robust to this meteorological variability in this region, and a stronger indicator of local/regional emissions changes. These results highlight the potential challenges of detecting statistically significant policy-related changes in Great Lakes wet deposition within the subdecadal scale.
Item Metadata
Title |
Understanding factors influencing the detection of mercury policies in modelled Laurentian Great Lakes wet deposition
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Creator | |
Publisher |
Royal Society of Chemistry
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Date Issued |
2018
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Description |
We use chemical transport modelling to better understand the extent to which policy-related
anthropogenic mercury emissions changes (a policy signal) can be statistically detected in wet
deposition measurements in the Great Lakes region on the subdecadal scale, given sources of
noise. In our modelling experiment, we consider hypothetical regional (North American) and
global (rest of the world) policy changes, consistent with existing policy efforts (Δglobal = -18%;
(Δregional = -30%) that divide an eight-year period. The magnitude of statistically significant
(p<0.1) pre- and post-policy period wet deposition differences, holding all else constant except
for the policy change, ranges from -0.3 to -2.0% for the regional policy and -0.8 to -2.7% for the
global policy. We then introduce sources of noise—trends and variability in factors that are
exogenous to the policy action—and evaluate the extent to which the policy signal can still be
detected. For instance, technology-related variability in emissions magnitude and speciation can
shift the magnitude of differences between periods, in some cases dampening the policy effect.
We find that interannual variability in meteorology has the largest effect of the sources of noise
considered, driving deposition differences between periods ±20%, exceeding the magnitude of
the policy signal. However, our simulations suggest that gaseous elemental mercury
concentration may be more robust to this meteorological variability in this region, and a stronger
indicator of local/regional emissions changes. These results highlight the potential challenges of
detecting statistically significant policy-related changes in Great Lakes wet deposition within the
subdecadal scale.
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Genre | |
Type | |
Language |
eng
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Date Available |
2019-09-10
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0372020
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URI | |
Affiliation | |
Citation |
A. Giang, S. Song, M. Muntean, G. Janssens-Maenhout, A. Harvey, E. Berg and N. E. Selin. 2018. "Understanding factors influencing the detection of mercury policies in modelled Laurentian Great Lakes wet deposition."Environ. Sci.: Processes Impacts.
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Publisher DOI |
10.1039/C8EM00268A.
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International