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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Bibliographic Details
Main Authors: Giang, Amanda Chi Wen, Song, Shaojie, Muntean, Marilena, Janssens-Maenhout, Greet, Harvey, Abigail P., Berg, Elizabeth (Elizabeth J.), Selin, Noelle E
Other Authors: Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Format: Article
Published: Royal Society of Chemistry (RSC) 2020
Online Access:https://hdl.handle.net/1721.1/126148