Matches in SemOpenAlex for { <https://semopenalex.org/work/W2020697803> ?p ?o ?g. }
- W2020697803 endingPage "27" @default.
- W2020697803 startingPage "16" @default.
- W2020697803 abstract "A review of mercury in the Canadian Arctic with a focus on field measurements is presented in part I (see Steffen et al., this issue). Here we provide insights into the dynamics of mercury in the Canadian Arctic from new and published mercury modeling studies using Environment Canada's mercury model. The model simulations presented in this study use global anthropogenic emissions of mercury for the period 1995-2005. The most recent modeling estimate of the net gain of mercury from the atmosphere to the Arctic Ocean is 75 Mg year(-1) and the net gain to the terrestrial ecosystems north of 66.5° is 42 Mg year(-1). Model based annual export of riverine mercury from North American, Russian and all Arctic watersheds to the Arctic Ocean are in the range of 2.8-5.6, 12.7-25.4 and 15.5-31.0 Mg year(-1), respectively. Analysis of long-range transport events of Hg at Alert and Little Fox Lake monitoring sites indicates that Asia contributes the most ambient Hg to the Canadian Arctic followed by contributions from North America, Russia, and Europe. The largest anthropogenic Hg deposition to the Canadian Arctic is from East Asia followed by Europe (and Russia), North America, and South Asia. An examination of temporal trends of Hg using the model suggests that changes in meteorology and changes in anthropogenic emissions equally contribute to the decrease in surface air elemental mercury concentrations in the Canadian Arctic with an overall decline of ~12% from 1990 to 2005. A slow increase in net deposition of Hg is found in the Canadian Arctic in response to changes in meteorology. Changes in snowpack and sea-ice characteristics and increase in precipitation in the Arctic related with climate change are found to be primary causes for the meteorology-related changes in air concentrations and deposition of Hg in the region. The model estimates that under the emissions reduction scenario of worldwide implementation of the best emission control technologies by 2020, mercury deposition could potentially be reduced by 18-20% in the Canadian Arctic." @default.
- W2020697803 created "2016-06-24" @default.
- W2020697803 creator A5023944626 @default.
- W2020697803 creator A5035279433 @default.
- W2020697803 creator A5046394179 @default.
- W2020697803 creator A5049654666 @default.
- W2020697803 creator A5058432864 @default.
- W2020697803 creator A5085493081 @default.
- W2020697803 date "2015-03-01" @default.
- W2020697803 modified "2023-10-01" @default.
- W2020697803 title "Atmospheric mercury in the Canadian Arctic. Part II: Insight from modeling" @default.
- W2020697803 cites W1620997547 @default.
- W2020697803 cites W1966923730 @default.
- W2020697803 cites W1984466720 @default.
- W2020697803 cites W1986516591 @default.
- W2020697803 cites W1988692277 @default.
- W2020697803 cites W1988846989 @default.
- W2020697803 cites W1989300302 @default.
- W2020697803 cites W1996873734 @default.
- W2020697803 cites W1997487358 @default.
- W2020697803 cites W2001351643 @default.
- W2020697803 cites W2005367631 @default.
- W2020697803 cites W2012540741 @default.
- W2020697803 cites W2013154303 @default.
- W2020697803 cites W2019802668 @default.
- W2020697803 cites W2022195135 @default.
- W2020697803 cites W2022490268 @default.
- W2020697803 cites W2025151763 @default.
- W2020697803 cites W2025488113 @default.
- W2020697803 cites W2026914180 @default.
- W2020697803 cites W2028426169 @default.
- W2020697803 cites W2038096781 @default.
- W2020697803 cites W2039454587 @default.
- W2020697803 cites W2046403072 @default.
- W2020697803 cites W2058185723 @default.
- W2020697803 cites W2060348473 @default.
- W2020697803 cites W2065137445 @default.
- W2020697803 cites W2068012376 @default.
- W2020697803 cites W2073642232 @default.
- W2020697803 cites W2076463675 @default.
- W2020697803 cites W2078997228 @default.
- W2020697803 cites W2084614865 @default.
- W2020697803 cites W2085649215 @default.
- W2020697803 cites W2095590147 @default.
- W2020697803 cites W2106926783 @default.
- W2020697803 cites W2123569067 @default.
- W2020697803 cites W2125691060 @default.
- W2020697803 cites W2127657691 @default.
- W2020697803 cites W2128786961 @default.
- W2020697803 cites W2140288023 @default.
- W2020697803 cites W2152242529 @default.
- W2020697803 cites W2159822403 @default.
- W2020697803 cites W2160792748 @default.
- W2020697803 cites W2162387682 @default.
- W2020697803 cites W2165974718 @default.
- W2020697803 cites W2292407211 @default.
- W2020697803 cites W2320979470 @default.
- W2020697803 cites W2565614323 @default.
- W2020697803 cites W4213305632 @default.
- W2020697803 cites W4230747687 @default.
- W2020697803 cites W4231992140 @default.
- W2020697803 doi "https://doi.org/10.1016/j.scitotenv.2014.10.112" @default.
- W2020697803 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25604938" @default.
- W2020697803 hasPublicationYear "2015" @default.
- W2020697803 type Work @default.
- W2020697803 sameAs 2020697803 @default.
- W2020697803 citedByCount "61" @default.
- W2020697803 countsByYear W20206978032015 @default.
- W2020697803 countsByYear W20206978032016 @default.
- W2020697803 countsByYear W20206978032017 @default.
- W2020697803 countsByYear W20206978032018 @default.
- W2020697803 countsByYear W20206978032019 @default.
- W2020697803 countsByYear W20206978032020 @default.
- W2020697803 countsByYear W20206978032021 @default.
- W2020697803 countsByYear W20206978032022 @default.
- W2020697803 countsByYear W20206978032023 @default.
- W2020697803 crossrefType "journal-article" @default.
- W2020697803 hasAuthorship W2020697803A5023944626 @default.
- W2020697803 hasAuthorship W2020697803A5035279433 @default.
- W2020697803 hasAuthorship W2020697803A5046394179 @default.
- W2020697803 hasAuthorship W2020697803A5049654666 @default.
- W2020697803 hasAuthorship W2020697803A5058432864 @default.
- W2020697803 hasAuthorship W2020697803A5085493081 @default.
- W2020697803 hasBestOaLocation W20206978031 @default.
- W2020697803 hasConcept C100970517 @default.
- W2020697803 hasConcept C111368507 @default.
- W2020697803 hasConcept C125069764 @default.
- W2020697803 hasConcept C127313418 @default.
- W2020697803 hasConcept C199360897 @default.
- W2020697803 hasConcept C205649164 @default.
- W2020697803 hasConcept C2777777548 @default.
- W2020697803 hasConcept C3018378255 @default.
- W2020697803 hasConcept C30878456 @default.
- W2020697803 hasConcept C39432304 @default.
- W2020697803 hasConcept C41008148 @default.
- W2020697803 hasConcept C49204034 @default.
- W2020697803 hasConcept C518008717 @default.
- W2020697803 hasConceptScore W2020697803C100970517 @default.