Understanding factors influencing the detection of mercury policies in modelled Laurentian Great Lakes wet deposition

Understanding factors influencing the detection of mercury policies in modelled Laurentian Great Lakes wet deposition

We used 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 modell...

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Main Authors: Giang, Amanda Chi Wen (Author), Song, Shaojie (Author), Muntean, Marilena (Author), Janssens-Maenhout, Greet (Author), Harvey, Abigail P. (Author), Berg, Elizabeth (Elizabeth J.) (Author), Selin, Noelle E (Author)
Other Authors: Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor), Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences (Contributor), Massachusetts Institute of Technology. Center for Environmental Health Sciences (Contributor)
Format: Article
Language:English
Published: Royal Society of Chemistry (RSC), 2020-07-13T14:33:04Z.
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