Source attribution for mercury deposition in the contiguous United States: Regional difference and seasonal variation

References

• Bullock , O.R. , Atkinson , D. , Braverman , T. , Civerolo , K. , Dastoor , A. , Davignon , D. , Ku , J.Y. , Lohman , K. , Myers , T.C. , Park , R.J. , Seigneur , C. , Selin , N.E. , Sistla , G. and Vijayaraghavanand , K. 2008 . The North American mercury model intercomparison study (NAMMIS): study description and model-to model comparisons . J. Geophys. Res. Atmos. , 113 ( D17 ) : 1 – 17 .
   Web of Science ®Google Scholar
• Bullock , O.R. and Brehme , K.A. 2002 . Atmospheric mercury simulation using the CMAQ model: formulation description and analysis of wet deposition results . Atmos. Environ. , 36 : 2135 – 2146 .
   Web of Science ®Google Scholar
• Byun , D. and Schere , K.L. 2006 . Review of the governing equations, computational algorithms, and other components of the models-3 community multiscale air quality (CMAQ) modeling system . Appl. Mech. Rev. , 59 : 51 – 77 .
   Web of Science ®Google Scholar
• Byun , D.W. and Ching , J.K.S. 1999 . Science Algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) Modeling System; EPA-600/R-99/030 , Office of Research and Development, U.S. Environmental Protection Agency : Washington, DC .
   Google Scholar
• Cohen , M. , Artz , R. , Draxler , R. , Miller , P. , Poissant , L. , Niemi , D. , Ratte , D. , Deslauriers , M. , Duval , R. , Laurin , R. , Slotnick , J. , Nettesheim , T. and McDonald , J. 2004 . Modeling the atmospheric transport and deposition of mercury to the great lakes . Environ. Res. , 95 : 247 – 265 .
   PubMed Web of Science ®Google Scholar
• Gbor , P.K. , Wen , D.Y. , Meng , F. , Yang , F.Q. and Sloan , J.J. 2007 . Modeling of mercury emission, transport and deposition in North America . Atmos. Environ. , 41 : 1135 – 1149 .
   Web of Science ®Google Scholar
• Gbor , P.K. , Wen , D.Y. , Meng , F. , Yang , F.Q. , Zhang , B.N. and Sloan , J.J. 2006 . Improved model for mercury emission, transport and deposition . Atmos. Environ. , 40 : 973 – 983 .
   Web of Science ®Google Scholar
• Grell , G.A. , Dudhia , J. and Stauffer , D.R.A. Description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5); NCAR Technical Note, NCAR/TNQ4 398þSTR, 1–222 , NCAR : Boulder, CO .
   Google Scholar
• Holmes , C.D. , Jacob , D.J. , Mason , R.P. and Jaffe , D.A. 2009 . Sources and deposition of reactive gaseous mercury in the marine atmosphere . Atmos. Environ. , 43 : 2278 – 2285 .
   Web of Science ®Google Scholar
• Holmes , P. , James , K.A.F. and Levy , L.S. 2009 . Is low-level environmental mercury exposure of concern to human health•? . Sci. Total Environ. , 408 : 171 – 182 .
   PubMed Web of Science ®Google Scholar
• Jaffe , D. , Prestbo , E. , Swartzendruber , P. , Weiss-Penzias , P. , Kato , S. , Takami , A. , Hatakeyama , S. and Kajii , Y. 2005 . Export of atmospheric mercury from Asia . Atmos. Environ. , 39 : 3029 – 3038 .
   Web of Science ®Google Scholar
• Jaffe , D. and Strode , S. 2008 . Fate and Transport of atmospheric mercury from Asia . Environ. Chem. , 5 : 121 – 126 .
   Web of Science ®Google Scholar
• Keeler , G.J. , Landis , M.S. , Norris , G.A. , Christianson , E.M. and Dvonch , J.T. 2006 . Sources of mercury wet deposition in eastern Ohio, USA . Environ. Sci. Technol. , 40 : 5874 – 5881 .
   PubMed Web of Science ®Google Scholar
• Lin , C.J. , Pan , L. , Streets , D.G. , Shetty , S.K. , Jang , C. , Feng , X. , Chu , H.W. and Ho , T.C. 2010 . Estimating mercury emission outflow from east Asia using CMAQ-Hg . Atmos. Chem. Phys. , 10 : 1853 – 1864 .
   Web of Science ®Google Scholar
• Lin , C.J. , Pongprueks , P. , Rusell Bullock , O. , Lindberg , S.E. , Pehkonen , S.O. , Jang , C. , Braverman , T. and Ho , T.C. 2007 . Scientific uncertainties in atmospheric mercury models II: sensitivity analysis in the CONUS domain . Atmos. Environ. , 41 : 6544 – 6560 .
   Web of Science ®Google Scholar
• Lin , C.J. , Pongprueksa , P. , Lindberg , S.E. , Pehkonen , S.O. , Byun , D. and Jang , C. 2006 . Scientific uncertainties in atmospheric mercury models I: model science evaluation . Atmos. Environ. , 40 : 2911 – 2928 .
   Web of Science ®Google Scholar
• Lin , X. and Tao , Y.A. 2003 . Numerical modelling study on regional mercury budget for eastern North America . Atmos. Chem. Phys. , 3 : 535 – 548 .
   Web of Science ®Google Scholar
• Lindberg , S. , Bullock , R. , Ebinghaus , R. , Engstrom , D. , Feng , X.B. , Fitzgerald , W. , Pirrone , N. , Prestbo , E. and Seigneur , C.A. 2007 . Synthesis of progress and uncertainties in attributing the sources of mercury in deposition . Ambio , 36 : 19 – 32 .
   PubMed Web of Science ®Google Scholar
• Mason , R.P. , Kim , E.H. , Cornwell , J. and An , H.D. 2006 . Examination of the factors influencing the flux of mercury, methylmercury and other constituents from estuarine sediment . Marine Chemistry , 102 : 96 – 110 .
   Web of Science ®Google Scholar
• Mason , R.P. and Sheu , G.R. 2002 . Role of the ocean in the global mercury cycle . Glob. Biogeochem. Cycle , 16 : 14 – 41 .
   Web of Science ®Google Scholar
• Pacyna , E.G. , Pacyna , J.M. , Steenhuisen , F. , global , Anthropogenic and wilson , S. 2006 . Mercury emission inventory for 2000 . Atmos. Environ. , 40 : 4048 – 4063 .
   Web of Science ®Google Scholar
• Pirrone , N. , Cinnirella , S. , Feng , X. , Finkelman , R.B. , Friedli , H.R. , Leaner , J. , Mason , R. , Mukherjee , A.B. , Stracher , G.B. , Streets , D.G. and Telmer , K. 2010 . Global mercury emissions to the atmosphere from anthropogenic and natural sources . Atmos. Chem. Phys. , 10 : 5951 – 5964 .
   Web of Science ®Google Scholar
• Pleim , J.E. and Byun , D.W. 2004 . “ Application of a New Land-Surface, Dry Deposition, and PBL Model in the Models-3 Community Multi-Scale Air Quality (CMAQ) Model System ” . In Air Pollution Modeling and Its Application XIV , Edited by: Gryning , S.-E. and Schere , K.L. 297 – 305 . Springer : New York .
   Google Scholar
• Pongprueksa , P. , Lin , C.J. , Lindberg , S.E. , Jang , C. , Braverman , T. , Bullock , O.R. , Ho , T.C. and Chu , H.W. 2008 . Scientific uncertainties in atmospheric mercury models III: boundary and initial conditions, model grid resolution, and Hg (II) reduction mechanism . Atmos. Environ. , 42 : 1828 – 1845 .
   Web of Science ®Google Scholar
• Prestbo , E.M. and Gay , D.A. 2009 . Wet deposition of mercury in the U.S. and Canada, 1996–2005: results and analysis of the NADP mercury deposition network (MDN) . Atmos. Environ. , 43 : 4223 – 4233 .
   Web of Science ®Google Scholar
• Schroeder , W.H. and Munthe , J. 1998 . Atmospheric mercury – an overview . Atmos. Environ. , 32 : 809 – 822 .
   Web of Science ®Google Scholar
• Seigneur , C. , Karamchandani , P. , Lohman , K. , Vijayaraghavan , K. and Shia , R.L. 2001 . Multiscale modeling of the atmospheric fate and transport of mercury . J. Geophys. Res.-Atmos. , 106 ( D21 ) : 27795 – 27809 .
   Web of Science ®Google Scholar
• Seigneur , C. , Lohman , K. , Vijayaraghavan , K. and Shia , R.L. 2003 . Contributions of global and regional sources to mercury deposition in New York state . Environ. Pollut. , 123 : 365 – 373 .
   PubMed Web of Science ®Google Scholar
• Seigneur , C. , Vijayaraghavan , K. , Lohman , K. , Karamchandani , P. and Global Source , S.C. 2004 . Attribution for mercury deposition in the United States . Environ. Sci. Technol. , 38 : 555 – 569 .
   PubMed Web of Science ®Google Scholar
• Selin , N.E. and Jacob , D.J. 2008 . Seasonal and spatial patterns of mercury wet deposition in the united states: constraints on the contribution from North American anthropogenic sources . Atmos. Environ. , 42 : 5193 – 5204 .
   Web of Science ®Google Scholar
• Selin , N.E. , Jacob , D.J. , Park , R.J. , Yantosca , R.M. , Strode , S. , Jaegle , L. and Jaffe , D. 2007 . Chemical cycling and deposition of atmospheric mercury: global constraints from observations . J. Geophys. Res. Atmos. , 112 ( D2 ) : 1 – 14 .
   Web of Science ®Google Scholar
• Selin , N.E. , Jacob , D.J. , Yantosca , R.M. , Strode , S. , Jaegle , L. and Sunderland , E.M. 2008 . Global 3-d land-ocean-atmosphere model for mercury: present-day versus preindustrial cycles and anthropogenic enrichment factors for deposition . Glob. Biogeochem. Cycle , 22 : 1 – 13 .
   Web of Science ®Google Scholar
• Shetty , S.K. , Lin , C.J. , Streets , D.G. and Jang , C. 2008 . Model estimate of mercury emission from natural sources in east Asia . Atmos. Environ. , 42 : 8674 – 8685 .
   Web of Science ®Google Scholar
• Shimshack , J.P. and Ward , M.B. 2010 . Mercury advisories and household health tradeoffs . J. Health Econ. , 29 : 674 – 685 .
   PubMed Web of Science ®Google Scholar
• St Louis , V.L. , Rudd , J.W.M. , Kelly , C.A. , Bodaly , R.A. , Paterson , M.J. , Beaty , K.G. , Hesslein , R.H. , Heyes , A. and Majewski , A.R. 2004 . The rise and fall of mercury methylation in an experimental reservoir . Environ. Sci. Technol. , 38 : 1348 – 1358 .
   PubMed Web of Science ®Google Scholar
• Travnikov , O. , Lin , C.J. , Dastoor , A. , Bullock , O.R. , Hedgecock , I.M. , Holmes , C. , Ilyin , I. , Jaeglé , L. , Lung , G. Pan , L . 2010 . “ Mercury-Global and Regional Modeling ” . In Hemispheric Transport of Air Pollution (HTAP) 2010 Assessment Report; Pironne, No , Edited by: Keating , T. United Nations Publications : New York .
   Google Scholar
• U.S. EPA. Controlling Power Plant Emissions: Emissions Progress http://www.epa.gov/hg/control_emissions/emissions.htm (http://www.epa.gov/hg/control_emissions/emissions.htm)
   Google Scholar
• United Nations Environment Programme, Environment for Development. The Negotiation Process http://www.unep.org/hazardoussubstances/Mercury/Negotiations/tabid/3320/Default.aspx (http://www.unep.org/hazardoussubstances/Mercury/Negotiations/tabid/3320/Default.aspx)
   Google Scholar
• Weiss-Penzias , P. , Jaffe , D. , Swartzendruber , P. , Hafner , W. , Chand , D. and Prestbo , E. 2007 . Quantifying Asian and biomass burning sources of mercury using the Hg/CO ratio in pollution plumes observed at the mount bachelor observatory . Atmos. Environ. , 41 : 4366 – 4379 .
   Web of Science ®Google Scholar
• Zender , C.S . 2007 . Analysis of self-describing gridded geoscience data with net CDF operators (NCO) . Environ. Model. Softw. , 23 ( 10–11 ) : 1338 – 1342 .
   Web of Science ®Google Scholar