2014
DOI: 10.1002/2013jg002481
|View full text |Cite
|
Sign up to set email alerts
|

An empirical approach to modeling methylmercury concentrations in an Adirondack stream watershed

Abstract: Inverse empirical models can inform and improve more complex process-based models by quantifying the principal factors that control water quality variation. Here we developed a multiple regression model that explains 81% of the variation in filtered methylmercury (

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
9
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(12 citation statements)
references
References 71 publications
(139 reference statements)
3
9
0
Order By: Relevance
“…The rapid increase in pore water MeHg as a result of soil flooding and elevated fraction of filter-passing Hg T as MeHg in O a horizon pore waters (≤ 9%) suggests that surface soils are a more important source of MeHg to adjacent surface waters than underlying soils. Our results corroborate watershed-scale studies of contaminated and uncontaminated sites that identify reduced riparian soils as important sources of MeHg to adjacent surface waters (Balogh et al, 2004;Shanley et al, 2008;Brigham et al, 2009;Regnell et al, 2009;Barringer et al, 2010;Southworth et al, 2010), and support models that use riparian zone hydrology (i.e., hydrologic flow path, water table depth) to predict MeHg concentrations in streams (Burns et al, 2014;Eklӧf et al, 2015). MeHg levels were greatest under iron-and sulfate-reducing conditions, which adds evidence that the flushing of reduced riparian soils is responsible for episodic fluxes of MeHg into streams that coincide with reduced stream water chemistry.…”
Section: Mercury Methylation In Riparian Soilssupporting
confidence: 82%
See 1 more Smart Citation
“…The rapid increase in pore water MeHg as a result of soil flooding and elevated fraction of filter-passing Hg T as MeHg in O a horizon pore waters (≤ 9%) suggests that surface soils are a more important source of MeHg to adjacent surface waters than underlying soils. Our results corroborate watershed-scale studies of contaminated and uncontaminated sites that identify reduced riparian soils as important sources of MeHg to adjacent surface waters (Balogh et al, 2004;Shanley et al, 2008;Brigham et al, 2009;Regnell et al, 2009;Barringer et al, 2010;Southworth et al, 2010), and support models that use riparian zone hydrology (i.e., hydrologic flow path, water table depth) to predict MeHg concentrations in streams (Burns et al, 2014;Eklӧf et al, 2015). MeHg levels were greatest under iron-and sulfate-reducing conditions, which adds evidence that the flushing of reduced riparian soils is responsible for episodic fluxes of MeHg into streams that coincide with reduced stream water chemistry.…”
Section: Mercury Methylation In Riparian Soilssupporting
confidence: 82%
“…In-stream measurements of MeHg during high flow events have been observed to coincide with low concentrations of molecular oxygen and increased concentrations of manganese and iron (Balogh et al, 2004;Regnell et al, 2009;Barringer et al, 2010), which suggests that the hydrologic flushing of reduced riparian soils may be the source of MeHg. Furthermore, several models that describe MeHg concentrations in streams use parameters based on riparian zone hydrology (i.e., hydrologic flow path, water table depth) (Burns et al, 2014;Eklӧf et al, 2015). Under dark anoxic conditions, Hg(II) can also be reduced to Hg 0 (aq) through biotic (e.g., dissimilatory metal-reducing bacteria) (Wiatrowski et al, 2006;Hu et al, 2013a) and abiotic pathways (e.g., redox-active DOM groups, aqueous Fe(II), Fe(II)-bearing minerals) (Allard and Arsenie, 1991;Wiatrowski et al, 2009;Gu et al, 2011;Zheng et al, 2012;Bone et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…The substantial heterogeneity in fish THg concentrations across the landscape is consistent with findings from other regions of North America; for example, large variation among individual water bodies was evident in the analyses of fish THg levels across the Great Lakes region (Sandheinrich et al, 2011), the northeastern US and eastern Canada (Kamman et al, 2005), and across Canada (Depew et al, 2013b). The variation in fish THg concentrations among water bodies elsewhere has been attributed to a number of catchment and lake-specific parameters, including wetland density (Burns et al, 2014;Burns et al, 2012), coniferous forest cover (Drenner et al, 2013;Eagles-Smith et al, 2016a), pH (Clayden et al, 2014;Jardine et al, 2013), dissolved organic carbon concentrations (Driscoll et al, 1995;French et al, 2014;Rolfhus et al, 2011), and primary productivity (Chen and Folt, 2005), that influence the production of MeHg or its concentration at the base of aquatic food webs.…”
Section: Figure 4 Here-captionsupporting
confidence: 79%
“…In total, 108 studies were excluded through that screening process. A total of 44 studies were kept from this search (Bergman & Bump, 2014;Berndt et al, 2016;Berndt & Bavin, 2012;Braaten et al, 2014;Bravo et al, 2017;Brazeau et al, 2013;Burns et al, 2012Burns et al, , 2013Burns et al, , 2014Burton et al, 2013;Chaves-Ulloa et al, 2016;de Wit et al, 2014;Demers et al, 2013;Denkenberger et al, 2014;Dranguet et al, 2017;Eckley et al, 2015;Eklöf et al, 2013;Ekstrom et al, 2016;Fagnani et al, 2012;Gerson & Driscoll, 2016;Girard et al, 2016;Guedron et al, 2014;Hamelin et al, 2015;Haverstock et al, 2012;Houben et al, 2016;Jeremiason et al, 2016;Leopold et al, 2012;Loftin et al, 2012;Luo et al, 2014;MacMillan et al, 2015;Moreno et al, 2016;Navratil et al, 2015;Noh et al, 2016;Oswald & Branfireun, 2014;Painter et al, 2015;Picado & Bengtsson, 2012;Poste et al, 2015;Pyhtila et al, 2012;Riscassi et al, 2016;Sherman & Blum, 2013;…”
Section: Data Acquisitionmentioning
confidence: 99%