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| Titel |
Method development estimating ambient oxidized mercury concentration from monitored mercury wet deposition |
| VerfasserIn |
S. Chen, X. Qiu, L. Zhang, F. Yang, P. Blanchard |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 13, no. 22 ; Nr. 13, no. 22 (2013-11-21), S.11287-11293 |
| Datensatznummer |
250085826
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| Publikation (Nr.) |
 copernicus.org/acp-13-11287-2013.pdf |
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| Zusammenfassung |
| To quantify mercury dry deposition, the Atmospheric Mercury
Network (AMNet) of the National Atmospheric Deposition Program (NADP) was
established recently to monitor the speciated atmospheric mercury (i.e.
gaseous elemental mercury (GEM), gaseous oxidized mercury (GOM) and
particulate-bound mercury (PBM)). However, the spatial coverage of AMNet is
far less than the long-established Mercury Deposition Network (MDN) for wet
deposition monitoring. The present study describes the first attempt linking
ambient concentration of the oxidized mercury (GOM + PBM) with wet
deposition aiming to estimate GOM + PBM roughly at locations and/or times
where such measurement is not available but where wet deposition is
monitored. The beta distribution function is used to describe the
distribution of GOM + PBM and is used to predict GOM + PBM from monitored
wet deposition. The mean, median, mode, standard deviation, and skewness of
the fitted beta distribution parameters were generated using data collected
in 2009 at multiple monitoring superstations. The established beta
distribution function from the 2009 GOM + PBM data is used to construct a
model that predicts GOM + PBM from wet deposition data. The model is
validated using 2010 data at multiple stations, and the predicted monthly
GOM + PBM concentrations agree reasonably well with measurements. The model
has many potential applications after further improvements and validation
using different data sets. |
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