Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury

Gaseous 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 Componen...

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Main Authors:	Cheng, I., Zhang, L., Xu, X.
Format:	Online
Language:	English
Published:	Nature Publishing Group 2016
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746649/

id	pubmed-4746649
recordtype	oai_dc
spelling	pubmed-47466492016-02-17 Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury Cheng, I. Zhang, L. Xu, X. Article Gaseous 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. Nature Publishing Group 2016-02-09 /pmc/articles/PMC4746649/ /pubmed/26857835 http://dx.doi.org/10.1038/srep20676 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Cheng, I. Zhang, L. Xu, X.
spellingShingle	Cheng, I. Zhang, L. Xu, X. Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury
author_facet	Cheng, I. Zhang, L. Xu, X.
author_sort	Cheng, I.
title	Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury
title_short	Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury
title_full	Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury
title_fullStr	Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury
title_full_unstemmed	Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury
title_sort	impact of measurement uncertainties on receptor modeling of speciated atmospheric mercury
description	Gaseous 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.
publisher	Nature Publishing Group
publishDate	2016
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746649/
_version_	1613535893868511232

Impact of Measurement Uncertainties on Receptor Modeling of Speciated Atmospheric Mercury

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