Impacts of Mercury Pollution Controls on Atmospheric Mercury Concentration and Occupational Mercury Exposure in a Hospital

2015 ◽  
Vol 168 (2) ◽  
pp. 330-334 ◽  
Author(s):  
Ping Li ◽  
Yan Yang ◽  
Wuyan Xiong
Keyword(s):  
Mercury Concentration ◽  
Atmospheric Mercury ◽  
Mercury Exposure ◽  
Mercury Pollution

Source apportionment of atmospheric mercury pollution in China using the GEOS-Chem model

2014 ◽  
Vol 190 ◽  
pp. 166-175 ◽  
Author(s):  
Long Wang ◽  
Shuxiao Wang ◽  
Lei Zhang ◽  
Yuxuan Wang ◽  
Yanxu Zhang ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Atmospheric Mercury ◽  
Mercury Pollution

Assessment of the Suitability of Tree Rings as Archives of Global and Regional Atmospheric Mercury Pollution

2019 ◽  
Vol 53 (7) ◽  
pp. 3663-3671 ◽  
Author(s):  
Matthew A. Peckham ◽  
Mae Sexauer Gustin ◽  
Peter J. Weisberg
Keyword(s):  
Tree Rings ◽  
Atmospheric Mercury ◽  
Mercury Pollution

scholarly journals The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations

2018 ◽  
Vol 123 (2) ◽  
pp. 764-774 ◽  
Author(s):  
F. Carbone ◽  
A. G. Bruno ◽  
A. Naccarato ◽  
F. De Simone ◽  
C. N. Gencarelli ◽  
...  
Keyword(s):  
Mercury Concentration ◽  
Atmospheric Mercury ◽  
Concentration Fluctuations

Baseline atmospheric mercury studies at Ross Island, Antarctica

1993 ◽  
Vol 5 (3) ◽  
pp. 323-326 ◽  
Author(s):  
S. J. de Mora ◽  
J. E. Patterson ◽  
D. M. Bibby
Keyword(s):  
Mercury Concentration ◽  
Limit Of Detection ◽  
Atmospheric Mercury ◽  
Polar Regions ◽  
Total Gaseous Mercury ◽  
Gaseous Mercury

The first extended baseline studies of total gaseous mercury (TGM) and dimethylmercury (DMM) in Antarctica are reported. Mean TGM concentrations of 0.52, 0.60 and 0.52 ng m−3 were obtained for three consecutive years at the southern tip of Ross Island (77°S). The levels of DMM in Antarctica are less than 10% of the TGM, and frequently fall below the limit of detection. These results represent the lowest TGM concentrations recorded globally and extend into polar regions the observation of a decrease in atmospheric mercury concentration with increasing latitude.

scholarly journals Atmospheric mercury concentration and chemical speciation at a rural site in Beijing, China: implications of mercury emission sources

2013 ◽  
Vol 13 (20) ◽  
pp. 10505-10516 ◽  
Author(s):  
L. Zhang ◽  
S. X. Wang ◽  
L. Wang ◽  
J. M. Hao
Keyword(s):  
Mercury Concentration ◽  
Elemental Mercury ◽  
Northern China ◽  
Temperature Inversion ◽  
Atmospheric Mercury ◽  
Rural Site ◽  
Back Trajectory ◽  
Background Concentration ◽  
Monitoring Site ◽  
Beijing China

Abstract. Continuous measurements of atmospheric mercury concentration and speciation play a key role in identifying mercury sources and its behavior in the atmosphere. In this study, speciated atmospheric mercury including gaseous elemental mercury (GEM), reactive gaseous mercury (RGM) and particle-bound mercury (PBM) were continuously measured at Miyun, a rural site in Beijing, China, from December 2008 to November 2009. The average GEM, RGM and PBM concentrations were found to be 3.22 ± 1.74, 10.1 ± 18.8 and 98.2 ± 112.7 pg m−3, respectively, about 2–20 times higher than the background concentration of the Northern Hemisphere. The results indicated that atmospheric mercury concentrations in northern China were highly affected by anthropogenic emissions. The atmospheric mercury showed obvious seasonal variations, with the highest seasonal average GEM concentration in summer (3.48 ng m−3) and the lowest value in winter (2.66 ng m−3). In autumn and winter a diurnal variation of GEM was observed, with peak levels in the late afternoon till midnight. Most of the high RGM concentration values occurred in the afternoon of all seasons due to the higher oxidation. The PBM concentration was higher in early morning of all seasons because of the the temperature inversion that increases in depth as the night proceeds. The ratio of GEM to CO indicates that residential boilers play an important role in the elevation of GEM in winter. The ratio of RGM to O3 could be an indicator of the contribution of local primary sources. The ratio of PBM to PM2.5 reveals that the air mass from the east and southwest of the site in spring and summer carries more atmospheric mercury. The HYSPLIT back-trajectory analysis indicated that the monitoring site is affected by local, regional and interregional sources simultaneously during heavy pollution episodes. The results from the potential source contribution function (PSCF) model indicate that the atmospheric transport predominantly from the northwest contributes to the elevated atmospheric mercury in winter and autumn, while the North China Plain (NCP) region and the northern part of the Yangtze River Delta (YRD) region are the major source areas for mercury pollution in spring and summer.

Investigate the impact of local iron–steel industrial emission on atmospheric mercury concentration in Yangtze River Delta, China

2019 ◽  
Vol 26 (6) ◽  
pp. 5862-5872 ◽  
Author(s):  
Deming Han ◽  
Qingyan Fu ◽  
Song Gao ◽  
Xufeng Zhang ◽  
Jingjing Feng ◽  
...  
Keyword(s):  
Mercury Concentration ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
Atmospheric Mercury ◽  
River Delta ◽  
Industrial Emission ◽  
The Impact

Application of RBF Networks in Mercury Pollution Spatial Prediction of a Gold Mine Area

2014 ◽  
Vol 926-930 ◽  
pp. 2771-2776
Author(s):  
Hao Chen Wang ◽  
Jing Yang ◽  
He Ping Lin
Keyword(s):  
Neural Networks ◽  
Mercury Concentration ◽  
Spatial Prediction ◽  
Mercury Pollution ◽  
Gold Mine ◽  
Concentration Data ◽  
Mine Area ◽  
Classical Statistics ◽  
Blind Area ◽  
Pollution Area

This paper adopts the Radial Basis Function (RBF) Neural Networks to conduct a spatial prediction on the mercury pollution situation of the Jiapigou gold mine area, locate the primary pollution sources, delineate the pollution area according to the mercury concentration data of 27 soil samples from this area, and draws the mercury concentration isoline with the gridded data. Compared with the methods in the past such as classical statistics and BP Neural Networks to analyse the soil pollution, this method presents advantages such as the quantification of the result, the explicitness of the pollution area, and the ability to explain the blind area of the samples.

Polar microbes and their implications in the aquatic mercury cycle

2020 ◽  
Author(s):  
Céline Lavergne ◽  
Lars-Eric Heimburger ◽  
Patricia Bovio-Winkler ◽  
Rolando Chamy ◽  
Léa Cabrol
Keyword(s):  
Mercury Concentration ◽  
Total Mercury ◽  
Inorganic Mercury ◽  
Atmospheric Mercury ◽  
Aquatic Systems ◽  
Tierra Del Fuego ◽  
South Shetland Islands ◽  
P Value ◽  
Beaver Ponds ◽  
Total Mercury Concentration

<p>The methylmercury has the feature, in addition to its high toxicity for living organisms, to be easily incorporated, bioaccumulated and biomagnified through the food web in aquatic systems. Recently, the microorganisms implicated in the transformation of mercury to methylmercury have been found much more diverse than previously thought. Among them, 9 methanogenic Archaea strains are able to methylate the mercury in pure culture. However, few proofs exist <em>in situ</em> in polar aquatic systems. Antarctic polar regions receive atmospheric mercury through long-range transport of foreign emissions. In a context of increasing releases of heavy metals in aquatic environments and atmosphere, it is a crucial objective to elucidate the fate of mercury in Antarctic polar aquatic ecosystems and the role Archaea could play in mercury transformations. Hence, microbial diversity was investigated in pristine Antarctic lakes (South Shetland Islands, Antarctic, Chile) and continental sub-Antarctic beaver ponds (Tierra del Fuego, Chile) where benthic total mercury concentration was 14 ±6.5 and 89 ±13 ppm, respectively. Until 6.3% of the active community could be constituted by putative methylators and a positive significant correlation was found between total mercury concentration and putative methylator relative abundance (linear model, p-value=0.001). Putative methylator Archaea <em>Methanoregula</em> and <em>Methanosphaerula</em> have been detected but did not seem active in the studied ecosystems (RNA metabarcoding VS DNA metabarcoding).</p><p>Combined with these molecular data, mercury methylation and methylmercury demethylation activities were performed by addition of enriched stables isotopes of inorganic mercury and methylmercury, respectively and we expect to find highest methylation rates in the rich-organic matter ecosystems such as sub-Antarctic beaver ponds.</p>

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