A Stohl

CD McClure

E Chan

EG Malcolm

EG Pacyna

I Cheng

IM Farnham

J Huang

JL Ambrose

MM Lynam

MP Scheele

MS Gustin

N Pirrone

P Weiss-Penzias

PC Swartzendruber

R Aruga

SJ Wilson

SN Lyman

WJ Stratton

X Faïn

Scientific Reports

AbstractGaseous oxidized mercury (GOM) and particle-bound mercury (PBM) measurement uncertainties could potentially affect the analysis and modeling of atmospheric mercury. This study investigated the impact of GOM measurement uncertainties on Principal Components Analysis (PCA), Absolute Principal Component Scores (APCS) and Concentration-Weighted Trajectory (CWT) receptor modeling results. The atmospheric mercury data input into these receptor models were modified by combining GOM and PBM into a single reactive mercury (RM) parameter and excluding low GOM measurements to improve the data quality. PCA and APCS results derived from RM or excluding low GOM measurements were similar to those in previous studies, except for a non-unique component and an additional component extracted from the RM dataset. The percent variance explained by the major components from a previous study differed slightly compared to RM and excluding low GOM measurements. CWT results were more sensitive to the input of RM than GOM excluding low measurements. Larger discrepancies were found between RM and GOM source regions than those between RM and PBM. Depending on the season, CWT source regions of RM differed by 40–61% compared to GOM from a previous study. No improvement in correlations between CWT results and anthropogenic mercury emissions were found.</jats:p

I. Cheng

L. Zhang

X. Xu

Crossref

Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury

Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury

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