Title A decline in Arctic Ocean mercury suggested by differences in decadal trends of atmospheric mercury between the Arctic and northern midlatitudes
Authors Chen, Long
Zhang, Yanxu
Jacob, Daniel J.
Soerensen, Anne L.
Fisher, Jenny A.
Horowitz, Hannah M.
Corbitt, Elizabeth S.
Wang, Xuejun
Affiliation Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA.
Peking Univ, Coll Urban & Environm Sci, Minist Educ, Lab Earth Surface Proc, Beijing 100871, Peoples R China.
Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA.
Stockholm Univ, Dept Environm Sci & Analyt Chem, S-10691 Stockholm, Sweden.
Harvard Univ, TH Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA USA.
Univ Wollongong, Sch Chem, Wollongong, NSW, Australia.
Keywords mercury
Arctic
trend
climatological variables
AIR-SEA EXCHANGE
METHYLATED MERCURY
GASEOUS MERCURY
SURFACE WATERS
10-YEAR TRENDS
TEMPERATURE
DEPOSITION
ATLANTIC
MODEL
ICE
Issue Date 2015
Publisher GEOPHYSICAL RESEARCH LETTERS
Citation GEOPHYSICAL RESEARCH LETTERS.2015,42,(14),6076-6083.
Abstract Atmospheric mercury (Hg) in the Arctic shows much weaker or insignificant annual declines relative to northern midlatitudes over the past decade (2000-2009) but with strong seasonality in trends. We use a global ocean-atmosphere model of Hg (GEOS-Chem) to simulate these observed trends and determine the driving environmental variables. The atmospheric decline at northern midlatitudes can largely be explained by decreasing North Atlantic oceanic evasion. The midlatitude atmospheric signal propagates to the Arctic but is countered by rapid Arctic warming and declining sea ice, which suppresses deposition and promotes oceanic evasion over the Arctic Ocean. The resulting simulation implies a decline of Hg in the Arctic surface ocean that we estimate to be -0.67%yr(-1) over the study period. Rapid Arctic warming and declining sea ice are projected for future decades and would drive a sustained decline in Arctic Ocean Hg, potentially alleviating the methylmercury exposure risk for northern populations.
URI http://hdl.handle.net/20.500.11897/418071
ISSN 0094-8276
DOI 10.1002/2015GL064051
Indexed SCI(E)
EI
Appears in Collections: 城市与环境学院
地表过程分析与模拟教育部重点实验室

Files in This Work
There are no files associated with this item.

Web of Science®


0

Checked on Last Week

Scopus®



Checked on Current Time

百度学术™


0

Checked on Current Time

Google Scholar™





License: See PKU IR operational policies.