title: Modeling and mapping of atmospheric mercury deposition in adirondack park, new york.
abstract: The Adirondacks of New York State, USA is a region that is sensitive to atmospheric mercury (Hg) deposition. In this study, we estimated atmospheric Hg deposition to the Adirondacks using a new scheme that combined numerical modeling and limited experimental data. The majority of the land cover in the Adirondacks is forested with 47% of the total area deciduous, 20% coniferous and 10% mixed. We used litterfall plus throughfall deposition as the total atmospheric Hg deposition to coniferous and deciduous forests during the leaf-on period, and wet Hg deposition plus modeled atmospheric dry Hg deposition as the total Hg deposition to the deciduous forest during the leaf-off period and for the non-forested areas year-around. To estimate atmospheric dry Hg deposition we used the Big Leaf model. The average atmospheric Hg deposition to the Adirondacks was estimated as 17.4 [Formula: see text]g m[Formula: see text] yr[Formula: see text] with a range of -3.7-46.0 [Formula: see text]g m[Formula: see text] yr[Formula: see text]. Atmospheric Hg dry deposition (370 kg yr[Formula: see text]) was found to be more important than wet deposition (210 kg yr[Formula: see text]) to the entire Adirondacks (2.4 million ha). The spatial pattern showed a large variation in atmospheric Hg deposition with scattered areas in the eastern Adirondacks having total Hg deposition greater than 30 μg m(-2) yr(-1), while the southwestern and the northern areas received Hg deposition ranging from 25-30 μg m(-2) yr(-1).
authors.affiliation: Department of Civil and Environmental Engineering, Syracuse Univeresity, Syracuse, New York, United States of America. xuyu@syr.edu
authors.forename: Xue
authors.initials: X
authors.lastname: Yu
authors.forename: Charles T
authors.initials: CT
authors.lastname: Driscoll
authors.forename: Jiaoyan
authors.initials: J
authors.lastname: Huang
authors.forename: Thomas M
authors.initials: TM
authors.lastname: Holsen
authors.forename: Bradley D
authors.initials: BD
authors.lastname: Blackwell
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000465:Algorithms; D004784:Environmental Monitoring; D005843:Geography; D008628:Mercury / Q000032:analysis*; D008962:Models, Theoretical; D009518:New York; D012621:Seasons; D014197:Trees
chemical_list: D000393:Air Pollutants; D008628:Mercury
references.citation: Ecotoxicology. 2013 Jan;22(1):86-93
references.pmid: 23076839
references.citation: Environ Sci Technol. 2009 Oct 1;43(19):7484-9
references.pmid: 19848165
references.citation: Ecotoxicology. 2005 Mar;14(1-2):53-70
references.pmid: 15931958
references.citation: Environ Pollut. 2012 Feb;161:272-83
references.pmid: 21705119
references.citation: Environ Pollut. 2012 Feb;161:291-8
references.pmid: 21719170
references.citation: Environ Res. 2004 Jul;95(3):247-65
references.pmid: 15220060
references.citation: Environ Sci Technol. 2008 Aug 1;42(15):5644-53
references.pmid: 18754488
references.citation: Environ Pollut. 2011 Dec;159(12):3474-83
references.pmid: 21889245
references.citation: Environ Sci Technol. 2010 Apr 1;44(7):2222-7
references.pmid: 20184358
references.citation: Ecotoxicology. 2011 Oct;20(7):1543-54
references.pmid: 21691858
references.citation: Environ Sci Technol. 1994 Mar 1;28(3):136A-43A
references.pmid: 22668475
references.citation: Ecotoxicology. 2005 Mar;14(1-2):223-40
references.pmid: 15931968
references.citation: Environ Pollut. 2012 Feb;161:284-90
references.pmid: 21715069
references.citation: J Environ Monit. 2003 Aug;5(4):578-83
references.pmid: 12948231
references.citation: Environ Sci Technol. 2007 Jun 1;41(11):3934-9
references.pmid: 17612171
references.citation: Ecol Appl. 2007 Jul;17(5):1341-51
references.pmid: 17708212
references.citation: J Environ Monit. 2012 Nov;14(11):2976-82
references.pmid: 23001454
references.citation: Environ Sci Technol. 2001 Jan 1;35(1):170-7
references.pmid: 11352006