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Salinity-Driven Stratication Enhances Riverine
Mercury Export to the Coastal Ocean
Roland P. Ovbiebo
Scripps Institution of Oceanography, University of California San Diego https://orcid.org/0000-0002-
1889-7501
Cathryn D. Sephus
Scripps Institution of Oceanography, University of California San Diego
Amina T. Schartup
Scripps Institution of Oceanography, University of California San Diego https://orcid.org/0000-0002-
9289-8107
Research Article
Keywords: Methylmercury, River Discharge, Residence Time, Estuary Types, Biogeochemical
Transformations
Posted Date: March 24th, 2025
DOI: https://doi.org/10.21203/rs.3.rs-6276810/v1
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Read Full License
Additional Declarations: The authors declare no competing interests.
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Abstract
Rivers transport 300 to 5,000 Mg of mercury (Hg) annually to coastal oceans through estuaries,
contributing 20–45% of total Hg input, with 100 to 1,500 Mg reaching the open ocean. However, the
impact of estuarine circulation and stratication on Hg transport and methylation remains uncertain
despite their known inuence on other metal exports. This study developed three models to assess Hg
transformation under different salinity-driven stratication regimes—well-mixed, slightly stratied, and
highly stratied—using data from the Chesapeake Bay (CPB) and Hudson River Estuary (HRE), U.S.A.
Results show that stratication increases riverine Hg export by 19% in CPB and 20% in HRE, with shorter
Hg residence times promoting faster export. Unstratied estuaries favor Hg burial in sediments due to
longer residence times and increased particle settling. Seasonal river discharge variations further
inuence stratication, with higher discharge enhancing stratication and Hg export. Methylmercury
(MeHg) production and export also respond to stratication, with slightly stratied conditions in CPB
increasing MeHg production by 11.5% and export by 16.4%. As climate change is expected to intensify
stratication in many estuaries, these ndings suggest potential increases in Hg and MeHg export to
coastal oceans.
Synopsis
River discharge carries mercury to the ocean via estuaries, where it can be converted to neurotoxic
methylmercury. We examine how estuary stratication inuences mercury in river discharge reaching the
ocean.
Introduction
Estuarine mercury (Hg) biogeochemical cycling is unique due to the dynamic mixing of riverine
freshwater and saline ocean water; thus, understanding the estuarine processes that regulate Hg export
to the ocean is important. These mixing processes inuence Hg speciation, behavior, and transport
across the land-ocean continuum, affecting regional and global Hg cycles.1,2 While much attention has
historically been given to Hg deposited to the ocean through atmospheric processes, recent studies
indicate that riverine sources contribute 1,000 Mg of Hg to the coastal ocean annually,3 which is three
times more than the 310 Mg of Hg deposited through atmospheric processes. Accurately quantifying the
riverine ux of Hg is challenging, as it is affected by numerous factors, including variations in river
discharge, sampling limitations, hydrodynamic processes, and the inuence of suspended sediment and
organic matter.3,4 Consequently, current global riverine Hg export estimates to the oceans vary widely,
ranging from 300 to 5,000 Mg annually.3–6
The behavior and fate of contaminants within estuaries, including Hg, are inuenced by the estuarine
circulation and stratication patterns, which vary among estuary types.7–9 Estuaries are typically
classied into three main types based on stratication: well-mixed, slightly stratied, and highly
stratied. These classications reect variations in vertical and horizontal water movement, signicantly
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affecting how contaminants are retained, ushed, or deposited, which has implications for water quality
and ecosystem health.10–12 Within these stratication regimes, physical and hydrodynamic processes
further impact Hg's speciation into its inorganic divalent (HgII) and elemental Hg (Hg0), and organic
forms – mono- and di- methylmercury (MMHg and DMHg, respectively). In highly stratied estuaries,
dense bottom water restricts vertical mixing, trapping Hg species in deeper waters and sediments,
where microbial activity in anoxic sediments converts inorganic Hg into methylmercury (MeHg; sum of
MMHg and DMHg), a bioaccumulating neurotoxicant,13–15 through various methylation processes.2,16–18
In slightly stratied systems, vertical and horizontal mixing disperses Hg throughout the water column,
and methylation processes can occur in the pycnocline,19 which is a layer within the water column where
there is a rapid change in water density with depth caused by variations in salinity, temperature, or both.
These systems also enhance Hg binding with organic matter, which promotes settling and subsequent
methylation in the benthic sediment.18,20,21 In well-mixed estuaries, Hg species are more evenly
distributed due to the absence of stratication, reducing localized accumulation between different
salinity layers. However, strong tidal forces in these systems can resuspend Hg-containing sediments,
releasing Hg into the water column, where it may undergo methylation if conditions permit.22,23
Considering these dynamics, we propose that incorporating the distinct stratication characteristics of
these estuarine types in modeling riverine Hg ux to the coastal ocean could help reduce uncertainties in
current global Hg ux estimates. To address this, we develop three empirically constrained models of Hg
cycling dynamics tailored to each stratication-specic estuarine system, aiming to rene estimates of
riverine Hg discharge into the coastal ocean. We use these models to examine the role of salinity-driven
stratication in modulating Hg speciation within a specic coastal framework. Our model was evaluated
using observational data from the Chesapeake Bay (CPB) and Hudson River Estuary (HRE) in the United
States. These two estuarine systems exhibit seasonal variability in stratication; CPB transitions from
slightly stratied to well-mixed, and HRE transitions from highly stratied to slightly stratied, reecting
uctuations in freshwater inow and tidal mixing. By modeling Hg dynamics across these stratication
scenarios, we offer new insights into the role of estuarine stratication in Hg transport and
transformation, with implications for better estimates of riverine Hg contributions to the coastal ocean
and an improved understanding of its global distribution.
Methods
Study Area Description
The CPB, the largest estuary in the United States, stretches about 322 km from the Susquehanna River in
Maryland to Cape Charles and Cape Henry in Virginia, with a surface area of about 11,600 km2 and a
watershed that spans over 165,000 km2 (Supplementary Fig. S1). The Susquehanna River signicantly
affects salinity levels in the estuary, providing approximately 62% of the freshwater supply and directly
feeding into the Bay's main stem. Other signicant rivers owing into the Bay include the Potomac,
James, York, and Rappahannock Rivers. With an average water depth of 7 m and an exchange rate of
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8000 m³ s− 1 with the ocean,24 the estuary features a two-layer circulation: fresh, lighter water ows
seaward on the surface, while denser, saltier water moves landward below. The pycnocline separates
these layers, resulting in slightly stratied conditions with seasonal variation. The stratication is
strongest in spring and mixing increases in fall due to seasonal changes in river discharge and wind-
driven mixing, creating well-mixed conditions in the summer months. The estuary experiences tidal
mixing, but large portions are brackish water (0.5–25 ppt). Tidal forces are modest, rarely exceeding a 1
m range,25 with wind and tidal mixing inuencing the estuary salinity and residual circulation.26,27
The HRE is a tidal estuary that spans 246 km from Battery at New York Harbor to the Federal Dam at
Troy, located on the northeastern coast of the United States (Supplementary Fig. S1). It is much smaller
in surface area (5,700 km2) than the CPB, with a watershed of about 34,700 km2. The Hudson River is the
primary water body, with smaller tributaries feeding into the estuary, such as the Mohawk Creek, Rondout
Creek, and Esopus Creek. The estuary has an average depth of roughly 10 m with a mean tidal ow of
around 12,040 m3 s− 1.28 It features a dynamic ecosystem shaped by freshwater inows, tides, and
varying salinity (5–30 ppt), with tidal ranges reaching 2 m and peak velocities of 1 m s− 1.29 Freshwater
from upstream ows into the Atlantic, while tidal forces push saltwater upstream, creating a salt-wedge
or highly stratied estuary.30 The estuary’s strong tides dominate the river’s ow patterns over much of
its length. The HRE is more stratied than the CPB, with salinity extending up to 140 km from the Battery
depending on freshwater ow.31
Model Framework
We constructed an empirically constrained mass budget for the four main Hg species based on the
stratication type of estuaries building on Sunderland et al.32 in Python (version 3.12.2). Our model
considers how the different physical, chemical, and hydrodynamic processes affect the speciation and
transformation of Hg species in estuaries and what this means for the export of riverine Hg to the ocean
and MeHg production in the water column and sediments (Fig.1). The various processes and uxes of
Hg species captured in the model include (1) external inputs from river discharge, atmospheric
deposition, and inow of tidal water from the ocean, (2) chemical transformation through inorganic HgII
and Hg0 redox reactions, methylation of HgII and MMHg, and demethylation of MMHg and DMHg, (3)
advective and diffusive mixing in the water column and outow into the ocean, (4) diffusion/bioturbation
from sediment porewater to the overlaying water through the sediment-water interface, (5) settling of
particulate HgII and MMHg in the water column and to sediments, the resuspension from and burial in
benthic sediments, and (6) evasion of Hg0 and DMHg from the water surface through air-sea gas
exchange (Fig.1).
Figure 1 illustrates Hg cycling within an estuary, highlighting the interactions between the atmosphere,
water column, and sediment. Hg enters the estuary through river discharge, tidal inow, and atmospheric
deposition, undergoes transformations (methylation, demethylation, redox reactions), and is transported
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through diffusion, advection, settling, and resuspension processes. Hg can also evade into the
atmosphere or be exported to the ocean. Physical factors like wind, shortwave solar radiation, and water
currents also inuence this cycling.
Mass budget model
The concentration of Hg species in each system is based on a review of measured concentrations and
uxes from the literature (Table1), which are used to calculate the species’ initial reservoir size
(Supplementary Tables S1-S2). Previous literature does not contain the measurements of all four
species of Hg needed to accurately model the biogeochemical, physical, and hydrodynamic processes
affecting Hg cycling in the two estuaries. Therefore, we separated the total Hg (THg) and MeHg
measurements into the four Hg species (HgII, Hg0, MMHg, and DMHg). Many studies report MeHg
concentrations without distinguishing between MMHg and DMHg. Based on average ratios from
previous studies, we estimated MMHg to be 60% and DMHg to be 40% of MeHg.33–36 The HgII
concentration was calculated as the difference between the THg and the sum of Hg0 and MeHg. The Hg0
concentration in CPB is assumed to be about the same concentration of dissolved gaseous Hg (the sum
of Hg0 and DMHg), and is estimated to contain > 90% of Hg0 in surface water.37 No published data for
Hg0 concentrations in HRE exist, so we assume the concentration of Hg0 in the water column to be
approximately 5% of THg concentrations based on literature, where Hg0 ranges between 1-9.3% in
various estuarine environments.19,38–40 Mass budgets for each Hg species are used to create a set of
coupled rst-order differential equations to simulate changes in chemical mass over time.32,40,41 THg
loading from external input into and export out of the system (Supplementary Tables S3) drives the
model to a steady state with a 12-hour time step using average HgII methylation and MMHg and DMHg
demethylation rate constants from literature. See Supplementary Tables S4-S16 for a detailed
description of how the ux rates of the different hydrodynamic and Hg species biogeochemical
processes are calculated.
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Table 1
Chesapeake Bay and Hudson River Estuary range (mean ± standard deviation) of mercury (Hg) species
concentrations, including inorganic (HgII), elemental (Hg0), and methylmercury (MeHg) in the water
column, porewater, and sediment from the literature. These values were used to establish reservoir sizes
and run the box model.
Hg species Chesapeake Bay Hudson River Estuary
Water (pM) HgII 5–20 (7.53 ± 10.61)a87–581 (220 ± 193)c
Hg00.1–0.25 (0.19 + 0.10)a4.35-29 (11.06 ± 9.64)c
MeHg 0.02-1 (0.26 ± 0.25)a0.22–0.65 (0.24 ± 0.20)c
Porewater (pM) HgII 5-23.6 (9.5 ± 5.38)b2.2–78.4 (37.49 ± 18.23)c
MeHg 0.24–2.4 (1.81 ± 0.64)b0-1.8 (0.89 ± 0.49)c
Sediment (pmol/g) HgII 100–850 (395 ± 385)b3000–9000 (4994 ±
3491)c
MeHg 1–5 (2.13 ± 1.94)b3.1–12.5 (6.6 ± 1.41)c
aMeasurements in the surface waters of the Chesapeake Bay system.19
bBottom sediment measurement in the mainstem of the Chesapeake Bay and the mid-Atlantic
continental margins during four cruises: May 2005, July 2005, August–September 2005, and April
2006.42
cMeasurement in the estuarine turbidity maximum of the HRE between October 2000 and June
2001.22
Stratication and residence time
The stratication of the estuaries was used to separate each estuary's water column into different
compartments and estimate the sizes of Hg reservoirs and residence times in each system
(Supplementary Tables S4-S6). To identify the stratication class of each estuary, we use the estuary's
basin-wide average vertical salinity data from Xu et al.43 and the New York City Department of
Environmental Protection44 to calculate the stratication parameter (Δ). We chose the salinity scheme
method to estimate the stratication because there were multiple spatial salinity measurements along
the estuary transect45. Δ is computed as the tidally average salinity difference ratio between the surface
( ) and bottom water ( ) to the depth-averaged salinity ( ) (Eq.1).45,46
Δ = Eq.1
Ssal Bsal Asal
Bsal
−
Ssal
Asal
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When Δ is less than 0.1, it is classied as well-mixed; when Δ is between 0.1 and 1, it is slightly/partially
stratied, and if larger than 1, it is highly/strongly stratied.45,46
The CPB stratication class varies seasonally from slightly stratied during the period coinciding with
higher river inow (> 2600 m3 s− 1) to well-mixed estuary under low river ow conditions (< 1400 m3 s− 1)
(Fig.2A). The system is more stratied in the winter (Δ = 0.11, December-February) and spring (Δ = 0.18,
March-May). The stratication persists into the summer (Δ = 0.16, June-August) as the surface water
warms up and transitions into well-mixed conditions in the fall (Δ = 0.07, September-November) as river
outow decreases.
The stratication types in HRE range from highly to slightly stratied. The strongest stratication occurs
at intermediate salinities (13.7–14.9 ppt) during the winter (Δ = 1.1) and spring (Δ = 1.29) due to higher
river outow (> 500 m3 s− 1) and increased precipitation runoff into the estuary from its 34,700 km2
watershed area (Fig.2B). The highly stratied conditions (Δ > 1) in the HRE are not solely due to
increased freshwater inow. The freshwater input rate must exceed the tidal mixing rate for stratication
to persist. This balance can result from strong freshwater inows, reduced tidal mixing, or a moderate
combination of both inuences, leading to the observed stratication.47
After determining the stratication type of each estuary, we used a hydrological budget equation
(Equations 2 and 3 below) to estimate the seasonal depth of each compartment, which we classied as
the mixed surface layer and stratied bottom layer. The calculations for the surface mixed layer and
stratied bottom layer depths in both highly and slightly stratied systems incorporated the estuary's
total freshwater volume, surface area, and mean central depth (Supplementary Table S5). This approach
enabled us to estimate the water volume in each system, which is necessary for calculating Hg
residence time. Monthly river discharge data for the CPB and HRE were sourced from the USGS Water
Data at the river mouths (Susquehanna, Potomac, Rappahannock, York, and James Rivers)48,49 and
Green Island (near Troy Dam)49,50, respectively (Fig. S1).
= Eq.2
= Eq.3
where is the mixed surface layer depth (m), is the river discharge (m3 s− 1), is the
precipitation inow into the estuary (m3 s− 1), is the water surface area (m2), is central
channel average depth (m), and is the stratied bottom layer depth (m).
The time spent by Hg species in each system was determined using the water residence time in the
estuary. The residence time (τ) in days was calculated using the freshwater method.51–53 This method
uses the salinity of the water volume ( ), freshwater fraction (
FWF
), and freshwater inow rate (
) to estimate the estuary turn-over time (Eq.4–5 and Supplementary Table S6). This calculation
was done for the 12 months of the year based on changes in the monthly river inow and salinity.
Mdep Rivfl
+
Pre
SAw
Sdep Wdep
−
Mdep
Mdep Rivfl Pre
SAw Wdep
Sdep
V olw
FWfl
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= + Eq.4
τ = *
FWF
* Eq.5
Seasonally, the residence times in the CPB range from 63 to 280 days, whereas those in the HRE are
shorter, ranging from 12 to 20 days. These values are consistent with ndings from previous studies in
the two estuaries.45,54–60 The longer residence times in CPB can be attributed to its larger size and lower
ushing rates, while the shorter residence times in HRE are due to its smaller size and strong tidal
ushing dynamics.61
Results and Discussion
Water column stratication impacts riverine Hg ux to the coastal ocean and Hg removal in estuarine
systems
We compare two estuary model simulations: one that is stratied, where the water column is divided into
layers based on the salinity gradient, and another that is unstratied, where the salinity is uniform
throughout the entire water column. Both models use the same physical, hydrodynamic, and Hg
transformation processes to evaluate how stratication affects Hg removal in the estuaries and,
ultimately, the amount of Hg that reaches the coastal ocean.
Model results indicate that stratication enhances the export of Hg from rivers to the ocean. This trend
is seen for both systems modeled in Fig.3A, where we observe a 19% increase in Hg export in the CPB
and 20% in the HRE as the system becomes more stratied. These results align with prior studies; for
example, Mason
et al
. (1999)19 reported that 29% of the riverine Hg is exported to the ocean from CPB,
which overlaps with our ndings (25–44%). However, the prior study did not include stratication in
estimating this Hg export. To our knowledge, no comparable analysis has been performed on the HRE.
Our model suggests that the development of a pycnocline is key to controlling Hg export in stratied
systems. In a stratied system, riverine THg remains in the surface water above the pycnocline, resulting
in a shorter residence time within the estuary, and is more readily exported to the ocean.
We used the model to evaluate how water column stratication changes the Hg removal processes;
these ndings are summarized in Fig.3B. We see that when a system is well-mixed, the fraction of THg
removed by burial in sediments increases. We attribute this to the longer residence time of Hg species in
unstratied conditions, which allows for more particle-bound Hg to settle out of the water column and be
sequestrated in the sediment. Our ndings regarding the higher fraction of THg buried in unstratied
systems align with other studies that assumed well-mixed conditions in their modeling of Hg in
estuaries. These studies have reported that over 70% of riverine Hg is ultimately buried in estuarine
sediment.4,23,62–65 We also see that evasion of Hg decreases by 23 and 13% in CPB and HRE,
respectively, when the systems are unstratied (Fig.3B). The observed changes can largely be attributed
to longer residence time and the absence of a pycnocline. The longer residence time leads to a higher
settling of Hg in unstratied conditions, leaving less Hg in the water column and decreasing the pool
FWfl Rivfl Pre
V olwFWfl
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available for evasion. The absence of pycnocline in the unstratied system enhances tidal mixing of the
large surface riverine Hg pool delivered to the estuary surface with the entire water column, leaving a
lower concentration of Hg in the surface water for evasion. In unstratied estuaries, the mixing of
riverine freshwater with seawater results in a shoaling of the euphotic depth, which occurs due to
particles in the water that decrease the intensity of ultraviolet solar radiation. As a result, the euphotic
depth decreases by 6% in CPB and by 32% in HRE, lowering the production and evasion of volatile Hg0.
Our model results show that the absence of stratication in the estuary water column will increase the
amount of Hg buried in estuarine sediment while decreasing evasion to the atmosphere and export to
the coastal ocean.
Hg removal processes in estuaries respond to seasonal
variability in Hg sources and stratication type
In the previous section, we tested how estuaries respond to changes in stratication while keeping
conditions constant over a year. However, the presence and strength of stratication vary by estuary and
season. For example, CPB and HRE transition to more stratied states as river discharge increases
(Fig.2). Here, we model how seasonal variations in stratication inuence Hg cycling in HRE and CPB.
Figures 4A and 4B show that CPB transitions from well-mixed to slightly stratied conditions when river
discharge increases, resulting in a 20% increase in THg export to the coastal ocean. This is because river
discharge accounts for 71–85% of the annual THg input to CPB, while tidewater inow and atmospheric
deposition contribute less than 30% of the annual THg input. The fraction of THg removed through burial
in sediment also varies with stratication, with well-mixed conditions leading to 25% more THg being
buried in estuarine sediments compared to slightly stratied conditions. This is again due to increased
residence time in well-mixed conditions, which enhances sedimentation eciency for particle-bound Hg
and improves sediment mixing from wave action and tidal forces. Our model's sensitivity to particle
settling indicates that these processes effectively lower Hg concentrations in the water column and
enhance its burial in estuarine sediment. This aligns with ndings in other coastal environments, such as
the Gulf of Trieste, where Hg concentrations in the settling sediment particles were found to be of the
same order of magnitude as the amount of Hg observed in the surface sediments,66 further showing
that settling processes play a crucial role in the transfer of particle-bound Hg from the water column to
the sediment. The evasion ux in CPB is highest under slightly stratied conditions due to a larger pool
of Hg0 and DMHg in the surface water, higher wind speeds, and an increased reduction of HgII to Hg0
(Fig.4A). Slight stratication allows for the input of Hg0 and DMHg from depth to advect to the surface,
where it can easily evade into the atmosphere under suitable conditions. This advective transport
process is absent in well-mixed conditions due to the uniform salinity of the water column. In addition,
tidal circulation inuences the vertical and horizontal distribution of this Hg species in the slightly
stratied systems, with diffusive and advective transport processes redistributing Hg throughout the
water column, allowing for more frequent exchanges between the surface and bottom water layers.67,68
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In contrast, we see that HRE transitions from slightly stratied to highly stratied conditions as river
discharge increases (Fig.4C and 4D), resulting in a 9% increase in THg export to the coastal ocean. Like
CPB, river discharge constitutes 71–88% of the annual THg input to HRE, while tidewater inow and
atmospheric deposition account for less than 30% of the annual THg input. The fraction of THg removed
through burial in sediment is also inuenced by stratication, with slightly stratied conditions leading to
6% more THg being buried compared to highly stratied conditions. This variation arises from the strong
pycnocline in highly stratied conditions. This pycnocline limits vertical mixing, causing Hg species that
settle to the bottom layer to remain trapped in the bottom layer, extending their residence time and
enhancing particle-bound Hg deposition69. The evasion ux of gaseous Hg in HRE mirrors that of CPB,
with the highest ux observed under slightly stratied conditions due to the accumulation and
subsequent release of Hg0 and DMHg from the surface waters (Fig.4D). Observations from Long Island
Sound,70 an estuary 28 km from HRE, further support these ndings, as higher concentrations of
dissolved gaseous Hg and saturation levels were recorded in the surface waters of Long Island Sound
during summer when HRE was also slightly stratied. These further show that the local hydrodynamics
and climatic conditions that inuence stratication in HRE contribute to higher evasion of Hg0 and DMHg
during periods of slight stratication.
Our ndings highlight the important role that river discharge plays in controlling Hg input and
stratication dynamics, which in turn inuences Hg export and other removal processes in estuarine
systems. In a changing climate, increasing storm runoff and freshwater input into estuaries are expected
to enhance stratication, increasing Hg export to the coastal ocean. Land use changes, such as
deforestation, can further exacerbate this process by remobilizing previously deposited Hg in the
terrestrial environment globally (170–300 Mg yr-1).71,72 It is estimated that 1088 ± 379 Gg of Hg is stored
in the global surface soil,73 and land use changes can remobilize this stored Hg and result in elevated
concentrations in river discharge. Moreover, estuaries deliver signicant amounts of nutrients and
organic matter to the coastal ocean,74 which can stimulate biological activity75 and MeHg formation,
potentially contributing to higher Hg burdens in coastal communities. Our model demonstrates that
while well-mixed conditions in CPB act as a substantial sink for riverine Hg, highly and slightly stratied
conditions in both estuaries enhance Hg export to the coastal ocean, potentially elevating coastal Hg
concentrations and posing risks to marine ecosystems and human health.
The presence of stratication in the water column enhances the production and export of estuarine
MeHg to the coastal ocean.
Similarly, as in the previous section, we use the model to investigate how seasonal changes in the
strength of stratication affect the production of MeHg in CPB and HRE. Additionally, we examine how
these changes inuence the quantity of MeHg exported to the coastal ocean from the two estuaries.
In CPB, as the system transitions from slightly stratied to well-mixed conditions, the MeHg production
decreases by 11.5%, leading to a 16.4% decrease in the quantity of MeHg exported to the coastal ocean
annually (Fig.5). We attribute the higher MeHg production under slightly stratied conditions to greater
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river discharge (Fig.2A), which delivers 14.5% more inorganic Hg to the slightly stratied system (Fig.4A
& 5). This higher river inux increases the bioavailable pool of dissolved HgII, the primary substrate for
MeHg formation,76,77 as stratication intensies within the water column. This is consistent with
ndings from Mason
et al.
(2012),78 which highlight the importance of riverine Hg loading in controlling
MeHg concentrations in estuarine and coastal environments. Moreover, the increase in net primary
production under slightly stratied conditions, which we used to parameterize HgII biotic reduction rates
(Supplementary Table16), supports greater HgII formation and subsequent methylation, thereby
facilitating MeHg production.19 Earlier studies have also shown that increased primary production
boosts the availability of organic matter,79 which, when decomposed, consumes oxygen and contributes
to the formation of anoxic zones, thus promoting the methylation of HgII.
In the HRE, the transition from slightly stratied to highly stratied conditions leads to a 1.6% decrease in
MeHg production. This shift results in a 0.7% decrease in the amount of MeHg exported to the coastal
ocean annually (Fig.5). The decrease in MeHg production in the highly stratied conditions, despite a
9.4% increase in inorganic Hg input from river discharge, can be attributed to the shorter residence time
of the water in the surface mixed layer. This leads to a higher ushing rate,11,51,58 resulting in less time
for HgII to undergo methylation within the estuary. The increase in MeHg export to the coastal ocean
under slightly stratied conditions is also attributed to the advective and diffusive mixing between the
surface mixed layer and the stratied bottom layers. This mixing allows some of the MeHg produced at
greater depths to reach the surface,80 where it can be readily exported to the coastal ocean. In contrast,
during highly stratied conditions, strong pycnoclines restrict the mixing of MeHg produced in the
bottom layers, preventing it from reaching the surface. As a result, MeHg accumulates in the stratied
bottom layers, where it undergoes further demethylation and a portion of it is eventually deposited into
the sediment (Fig.4C).19 This means that when stratication is high, there is less MeHg available in the
highly productive surface waters, which may lead to less biological uptake depending on the depth of the
euphotic zone, the location of phytoplankton, and other estuarine mixing processes, possibly resulting in
lower MeHg accumulation in organisms at the base of the food chain. Despite this, MeHg accumulation
in the more stratied bottom layer remains available to deep-dwelling organisms.
Our study highlights the roles of stratication and estuarine mixing in the formation of MeHg from Hg
species entering estuaries via river discharge. Studies show that many estuaries may experience
enhanced water column stratication in the coming decades due to climate change. While exact gures
have not yet been published, modeling studies using regional conditions and specic climate scenarios
suggest that estuaries—particularly those in temperate regions—could exhibit increased stratication as
a result of rising sea levels, warming surface waters, reduced wind mixing, and altered freshwater
inows.81–87 Increased freshwater input into estuaries is likely to enhance stratication due to the
difference in density between freshwater (less dense) and seawater (more dense);45,88,89 this density
gradient (pycnocline) separates the less dense freshwater in the surface layer and the denser, saline
water below.45,90,91 This strong pycnocline weakens vertical oxygen exchange and can lead to the
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development of near-bed hypoxia,82,88,92 a condition known to favor the formation of MeHg.19,76 Our
ndings reveal that MeHg production and export to the coastal ocean increased by 11.5% and 16.4%,
respectively, when the stratication conditions in CPB shifted from well-mixed to slightly stratied. This
indicates that many estuaries may experience an increased export of MeHg to the coastal ocean as the
climate changes.
Declarations
Acknowledgments
We acknowledge the National Science Foundation Division of Ocean Sciences (grant 2023046 and
2414798 to A.T.S.), the National Institute of Environmental Health Sciences (Project 1P01ES035541–01
7782), the National Aeronautics and Space Administration (grant 80NSSC21K0713 to J.T. Farrar and
subaward to A.T.S.). We thank J. Farrar, J. West, and H. Adams for their valuable feedback on this
manuscript.
Competing Interests
The authors declare no competing interests.
Supplementary Information
The study area is illustrated in the map (Supplementary Figure S1), data used to run the model to a
steady state (Supplementary Tables S1-S16), parameterization of the physical and biogeochemical
processes controlling mercury cycling in the estuary (Supplementary Tables S1-S16 and Equations S1-
S31), and a detailed description of mercury species transport and biogeochemical transformation
processes in estuary as conceptualized in our model (Supplementary Texts S1-S2).
References
1. Fitzgerald, W. F., Lamborg, C. H. & Hammerschmidt, C. R. Marine Biogeochemical Cycling of
Mercury.
Chem. Rev.
107, 641–662 (2007).
2. Mason, R. P.
et al.
Mercury biogeochemical cycling in a stratied estuary.
Limnol. Oceanogr.
38,
1227–1241 (1993).
3. Liu, M.
et al.
Rivers as the largest source of mercury to coastal oceans worldwide.
Nat. Geosci.
14,
672–677 (2021).
4. Amos, H. M.
et al.
Global Biogeochemical Implications of Mercury Discharges from Rivers and
Sediment Burial.
Environ. Sci. Technol.
48, 9514–9522 (2014).
5. Cossa, D., Coquery, M., Gobeil, C. & Martin, J.-M. Mercury Fluxes at the Ocean Margins. in
Global and
Regional Mercury Cycles: Sources, Fluxes and Mass Balances
(eds. Baeyens, W., Ebinghaus, R. &
Vasiliev, O.) 229–247 (Springer Netherlands, Dordrecht, 1996). doi:10.1007/978-94-009-1780-4_11.
Page 13/24
. Outridge, P. M., Mason, R. P., Wang, F., Guerrero, S. & Heimbürger-Boavida, L. E. Updated Global and
Oceanic Mercury Budgets for the United Nations Global Mercury Assessment 2018.
Environ. Sci.
Technol.
52, 11466–11477 (2018).
7. Costa, I., Bordalo, A. & Duarte, P. Inuence of River Discharge Patterns on the Hydrodynamics and
Potential Contaminant Dispersion in the Douro Estuary (Portugal).
Water Res.
44, 3133–46 (2010).
. Iglesias, I.
et al.
Linking contaminant distribution to hydrodynamic patterns in an urban estuary: The
Douro estuary test case.
Sci. Total Environ.
707, 135792 (2019).
9. Papaslioti, E.-M.
et al.
Temporal dynamics of contaminants in an estuarine system affected by acid
mine drainage discharges.
Sci. Total Environ.
947, 174683 (2024).
10. Chen, Z., Li, G., Bowen, M. & Coco, G. Retention of buoyant plastic in a well-mixed estuary due to
tides, river discharge and winds.
Mar. Pollut. Bull.
194, 115395 (2023).
11. Marsooli, R., Orton, P. M., Fitzpatrick, J. & Smith, H. Residence Time of a Highly Urbanized Estuary:
Jamaica Bay, New York.
J. Mar. Sci. Eng.
6, 44 (2018).
12. Williamson, R. B. & Morrisey, D. J. Stormwater Contamination of Urban Estuaries. 1. Predicting the
Build-Up of Heavy Metals in Sediments.
Estuaries
23, 56–66 (2000).
13. Carrasco, L., Benejam, L., Benito, J., Bayona, J. M. & Díez, S. Methylmercury levels and
bioaccumulation in the aquatic food web of a highly mercury-contaminated reservoir.
Environ. Int.
37, 1213–1218 (2011).
14. Chen, C. Y.
et al.
Benthic and Pelagic Pathways of Methylmercury Bioaccumulation in Estuarine
Food Webs of the Northeast United States.
PLoS ONE
9, e89305 (2014).
15. Harding, G., Dalziel, J. & Vass, P. Bioaccumulation of methylmercury within the marine food web of
the outer Bay of Fundy, Gulf of Maine.
PLoS ONE
13, e0197220 (2018).
1. Chen, C.-F., Ju, Y.-R., Chen, C.-W. & Dong, C.-D. The distribution of methylmercury in estuary and
harbor sediments.
Sci. Total Environ.
691, 55–63 (2019).
17. Merritt, K. A. & Amirbahman, A. Methylmercury cycling in estuarine sediment pore waters
(Penobscot River estuary, Maine, USA).
Limnol. Oceanogr.
53, 1064–1075 (2008).
1. Schartup, A. T., Mason, R. P., Balcom, P. H., Hollweg, T. A. & Chen, C. Y. Methylmercury Production in
Estuarine Sediments: Role of Organic Matter.
Environ. Sci. Technol.
47, 695–700 (2013).
19. Mason, R. P.
et al.
Mercury in the Chesapeake Bay.
Mar. Chem.
65, 77–96 (1999).
20. Chakraborty, P., Sarkar, A., Vudamala, K., Naik, R. & Nath, B. N. Organic matter — A key factor in
controlling mercury distribution in estuarine sediment.
Mar. Chem.
173, 302–309 (2015).
21. Mazrui, N. M., Jonsson, S., Thota, S., Zhao, J. & Mason, R. P. Enhanced availability of mercury bound
to dissolved organic matter for methylation in marine sediments.
Geochim. Cosmochim. Acta
194,
153 (2016).
22. Heyes, A., Miller, C. & Mason, R. P. Mercury and methylmercury in Hudson River sediment: impact of
tidal resuspension on partitioning and methylation.
Mar. Chem.
90, 75–89 (2004).
Page 14/24
23. Liu, M.
et al.
Riverine Discharge Fuels the Production of Methylmercury in a Large Temperate
Estuary.
Environ. Sci. Technol.
57, 13056–13066 (2023).
24. Austin, J. A. Estimating the mean ocean-bay exchange rate of the Chesapeake Bay.
J. Geophys. Res.
Oceans
107, 13-1-13–8 (2002).
25. Browne, D. R. & Fisher, C. W. Tide and tidal currents in the Chesapeake Bay.
U. S. Natl. Ocean Serv.
Off. Oceanogr. Mar. Assess.
(1988).
2. Li, M., Zhong, L. & Boicourt, W. C. Simulations of Chesapeake Bay estuary: Sensitivity to turbulence
mixing parameterizations and comparison with observations.
J. Geophys. Res. Oceans
110, (2005).
27. Wilson, R. E. Dynamics of Partially Mixed Estuaries. in
Hydrodynamics of Estuaries
(CRC Press,
1988).
2. Cooper, J. C., Cantelmo, F. R. & Newton, C. E. Overview of the Hudson River Estuary. in
Science, Law,
and Hudson River Power Plants
vol. 4 11–24 (American Fisheries Society Monograph, 1988).
29. Warner, J. C., Geyer, W. R. & Lerczak, J. A. Numerical modeling of an estuary: A comprehensive skill
assessment.
J. Geophys. Res. Oceans
110, (2005).
30. National Oceanic and Atmospheric Administration (NOAA). Classifying Estuaries: By Water
Circulation. https://oceanservice.noaa.gov/education/tutorial_estuaries/est05_circulation.html.
31. Wells, A. & Young, J. Long-term variability and predictability of Hudson River physical and chemical
characteristics. in 29–58 (1992).
32. Sunderland, E. M.
et al.
Response of a macrotidal estuary to changes in anthropogenic mercury
loading between 1850 and 2000.
Environ. Sci. Technol.
44, 1698–1704 (2010).
33. Bieser, J.
et al.
The 3D biogeochemical marine mercury cycling model MERCY v2.0 – linking
atmospheric Hg to methylmercury in sh.
Geosci. Model Dev.
16, 2649–2688 (2023).
34. Lehnherr, I., St. Louis, V. L., Hintelmann, H. & Kirk, J. L. Methylation of inorganic mercury in polar
marine waters.
Nat. Geosci.
4, 298–302 (2011).
35. Mason, R. P. & Sullivan, K. A. The distribution and speciation of mercury in the South and equatorial
Atlantic.
Deep Sea Res. Part II Top. Stud. Oceanogr.
46, 937–956 (1999).
3. Munson, K. M., Lamborg, C. H., Swarr, G. J. & Saito, M. A. Mercury species concentrations and uxes
in the Central Tropical Pacic Ocean.
Glob. Biogeochem. Cycles
29, 656–676 (2015).
37. Mason, R. P., Rolfhus, K. R. & Fitzgerald, W. F. Mercury in the North Atlantic.
Mar. Chem.
61, 37–53
(1998).
3. Baeyens, W. & Leermakers, M. Elemental mercury concentrations and formation rates in the Scheldt
estuary and the North Sea.
Mar. Chem.
60, 257–266 (1998).
39. Benoit, J. M., Gilmour*, C. C., Mason, R. P., Riedel, G. S. & Riedel, G. F. Behavior of mercury in the
Patuxent River estuary.
Biogeochemistry
40, 249–265 (1998).
40. Schartup, A. T.
et al.
Freshwater discharges drive high levels of methylmercury in Arctic marine
biota.
Proc. Natl. Acad. Sci. U. S. A.
112, 11789–11794 (2015).
Page 15/24
41. Soerensen, A. L.
et al.
A mass budget for mercury and methylmercury in the Arctic Ocean: ARCTIC
OCEAN HG AND MEHG MASS BUDGET.
Glob. Biogeochem. Cycles
30, 560–575 (2016).
42. Hollweg, T. A., Gilmour, C. C. & Mason, R. P. Methylmercury production in sediments of Chesapeake
Bay and the mid-Atlantic continental margin.
Mar. Chem.
114, 86–101 (2009).
43. Xu, J.
et al.
Climate Forcing and Salinity Variability in Chesapeake Bay, USA.
Estuaries Coasts
35,
237–261 (2012).
44. New York City Department of Environmental Protection. Harbor Water Quality, 2015. Data accessed
from NYC website: https://data.cityofnewyork.us/widgets/5uug-f49n; accessed 06/04/2024.
45. Shen, X., Detenbeck, N. & You, M. Spatial and temporal variations of estuarine stratication and
ushing time across the continental U.S.
Estuar. Coast. Shelf Sci.
279, 108147 (2022).
4. Hansen, D. & Rattray, M. Gravitational circulation in straits and estuaries.
J. Mar. Res.
23, (1965).
47. Geyer, W. R. & Ralston, D. K. 2.03 - The Dynamics of Strongly Stratied Estuaries. in
Treatise on
Estuarine and Coastal Science
(eds. Wolanski, E. & McLusky, D.) 37–51 (Academic Press, Waltham,
2011). doi:10.1016/B978-0-12-374711-2.00206-0.
4. U.S. Geological Survey. Water Data for the Chesapeake Bay, accessed April 12, 2024, at
https://www.usgs.gov/centers/chesapeake-bay-activities/science/freshwater-ow-chesapeake-bay.
49. U.S. Geological Survey. Water Data for the Nation, accessed March 25, 2024, at
http://waterdata.usgs.gov/nwis/.
50. U.S. Geological Survey. Water Data for the Hudson River at Green Island NY, accessed July 14, 2024,
at https://waterdata.usgs.gov/monitoring-location/01358000/#dataTypeId=continuous-00065-
0&period=P7D&showMedian=false.
51. Lemagie, E. & Lerczak, J. A Comparison of Bulk Estuarine Turnover Timescales to Particle Tracking
Timescales Using a Model of the Yaquina Bay Estuary.
Estuaries Coasts
38, (2014).
52. Sheldon, J. E. & Alber, M. The calculation of estuarine turnover times using freshwater fraction and
tidal prism models: A critical evaluation.
Estuaries Coasts
29, 133–146 (2006).
53. Dyer, K.R., 1973. Estuaries: A Physical Introduction. Wiley, London.
54. Du, J. & Shen, J. Water residence time in Chesapeake Bay for 1980-2012.
J. Mar. Syst.
164, 101–111
(2016).
55. Howarth, R. W., Marino, R., Swaney, D. P. & Boyer, E. W. Wastewater and Watershed Inuences on
Primary Productivity and Oxygen Dynamics in the Lower Hudson River Estuary. in
The Hudson River
Estuary
(eds. Levinton, J. S. & Waldman, J. R.) 121–139 (Cambridge University Press, Cambridge,
2006). doi:10.1017/CBO9780511550539.012.
5. Shen, J., Du, J. & Lucas, L. V. Simple relationships between residence time and annual nutrient
retention, export, and loading for estuaries.
Limnol. Oceanogr.
67, 918–933 (2022).
57. Shen, J. & Wang, H. V. Determining the age of water and long-term transport timescale of the
Chesapeake Bay.
Estuar. Coast. Shelf Sci.
74, 585–598 (2007).
Page 16/24
5. Zhang, W. G., Wilkin, J. L. & Schoeld, O. M. E. Simulation of Water Age and Residence Time in New
York Bight. (2010) doi:10.1175/2009JPO4249.1.
59. Warner, J. C., Rockwell Geyer, W. & Arango, H. G. Using a composite grid approach in a complex
coastal domain to estimate estuarine residence time.
Comput. Geosci.
36, 921–935 (2010).
0. Andutta, F. P., Ridd, P. V., Deleersnijder, E. & Prandle, D. Contaminant exchange rates in estuaries –
New formulae accounting for advection and dispersion.
Prog. Oceanogr.
120, 139–153 (2014).
1. Geyer, W. R. & Chant, R. The Physical Oceanography Processes in the Hudson River Estuary. in
The
Hudson River Estuary
(eds. Levinton, J. S. & Waldman, J. R.) 24–38 (Cambridge University Press,
Cambridge, 2006). doi:10.1017/CBO9780511550539.005.
2. Buck, C. S., Hammerschmidt, C. R., Bowman, K. L., Gill, G. A. & Landing, W. M. Flux of Total Mercury
and Methylmercury to the Northern Gulf of Mexico from U.S. Estuaries.
Environ. Sci. Technol.
49,
13992–13999 (2015).
3. Meng, M.
et al.
An Integrated Model for Input and Migration of Mercury in Chinese Coastal
Sediments.
Environ. Sci. Technol.
53, 2460–2471 (2019).
4. Molina, A., Duque, G. & Cogua, P. Effect of environmental variables on mercury accumulation in
sediments of an anthropogenically impacted tropical estuary (Buenaventura Bay, Colombian
Pacic).
Environ. Monit. Assess.
195, 1316 (2023).
5. Zhang, Y.
et al.
Biogeochemical drivers of the fate of riverine mercury discharged to the global and
Arctic oceans.
Glob. Biogeochem. Cycles
29, 854–864 (2015).
. Pavoni, E.
et al.
Fluxes of settling sediment particles and associated mercury in a coastal
environment contaminated by past mining (Gulf of Trieste, northern Adriatic Sea).
J. Soils
Sediments
23, 4098–4109 (2023).
7. Huguenard, K. D., Valle-Levinson, A., Li, M., Chant, R. J. & Souza, A. J. Linkage between lateral
circulation and near-surface vertical mixing in a coastal plain estuary.
J. Geophys. Res. Oceans
120,
4048–4067 (2015).
. Zou, T., Zhang, H., Meng, Q. & Li, J. Seasonal Hydrodynamics and Salt Exchange of a Shallow Estuary
in Northern China.
J. Coast. Res.
74, 95–103 (2016).
9. Dellapenna, T. M., Hoelscher, C., Hill, L., Al Mukaimi, M. E. & Knap, A. How tropical cyclone ooding
caused erosion and dispersal of mercury-contaminated sediment in an urban estuary: The impact of
Hurricane Harvey on Buffalo Bayou and the San Jacinto Estuary, Galveston Bay, USA.
Sci. Total
Environ.
748, 141226 (2020).
70. Rolfhus, K. R. & Fitzgerald, W. F. The evasion and spatial/temporal distribution of mercury species in
Long Island Sound, CT-NY.
Geochim. Cosmochim. Acta
65, 407–418 (2001).
71. Lacerda, L. D., de Souza, M. & Ribeiro, M. G. The effects of land use change on mercury distribution
in soils of Alta Floresta, Southern Amazon.
Environ. Pollut.
129, 247–255 (2004).
72. Obrist, D.
et al.
A review of global environmental mercury processes in response to human and
natural perturbations: Changes of emissions, climate, and land use.
Ambio
47, 116–140 (2018).
Page 17/24
73. Wang, X.
et al.
Climate and Vegetation As Primary Drivers for Global Mercury Storage in Surface
Soil.
Environ. Sci. Technol.
53, 10665–10675 (2019).
74. Cloern, J. Our evolving conceptual model of the coastal eutrophication problem.
Mar. Ecol. Prog.
Ser.
210, 223–253 (2001).
75. Cloern, J. E., Foster, S. Q. & Kleckner, A. E. Phytoplankton primary production in the world’s estuarine-
coastal ecosystems.
Biogeosciences
11, 2477–2501 (2014).
7. Bravo, A. G. & Cosio, C. Biotic formation of methylmercury: A bio–physico–chemical conundrum.
Limnol. Oceanogr.
65, 1010–1027 (2020).
77. Munson, K. M., Lamborg, C. H., Boiteau, R. M. & Saito, M. A. Dynamic mercury methylation and
demethylation in oligotrophic marine water.
Biogeosciences
15, 6451–6460 (2018).
7. Mason, R. P.
et al.
Mercury biogeochemical cycling in the ocean and policy implications.
Environ.
Res.
119, 101–117 (2012).
79. Eckley, C. S., Luxton, T. P., Knightes, C. D. & Shah, V. Methylmercury Production and Degradation
under Light and Dark Conditions in the Water Column of the Hells Canyon Reservoirs, USA.
Environ.
Toxicol. Chem.
40, 1827–1837 (2021).
0. Adams, H. M., Cui, X., Lamborg, C. H. & Schartup, A. T. Dimethylmercury as a Source of
Monomethylmercury in a Highly Productive Upwelling System.
Environ. Sci. Technol.
58, 10591–
10600 (2024).
1. Lupiola, J., Bárcena, J. F., García-Alba, J. & García, A. A numerical study of the mixing and
stratication alterations in estuaries due to climate change using the potential energy anomaly.
Front. Mar. Sci.
10, (2023).
2. Hong, B. & Shen, J. Responses of estuarine salinity and transport processes to potential future sea-
level rise in the Chesapeake Bay.
Estuar. Coast. Shelf Sci.
104–105, 33–45 (2012).
3. Khojasteh, D., Glamore, W., Heimhuber, V. & Felder, S. Sea level rise impacts on estuarine dynamics:
A review.
Sci. Total Environ.
780, 146470 (2021).
4. Liu, W.-C. & Liu, H.-M. Assessing the Impacts of Sea Level Rise on Salinity Intrusion and Transport
Time Scales in a Tidal Estuary, Taiwan.
Water
6, 324–344 (2014).
5. Krvavica, N. & Ružić, I. Assessment of sea-level rise impacts on salt-wedge intrusion in idealized and
Neretva River Estuary.
Estuar. Coast. Shelf Sci.
234, 106638 (2020).
. Cloern, J. E.
et al.
Projected Evolution of California’s San Francisco Bay-Delta-River System in a
Century of Climate Change.
PLOS ONE
6, e24465 (2011).
7. Najjar, R. G.
et al.
Potential climate-change impacts on the Chesapeake Bay.
Estuar. Coast. Shelf Sci.
86, 1–20 (2010).
. Duvall, M. S., Jarvis, B. M. & Wan, Y. Impacts of climate change on estuarine stratication and
implications for hypoxia within a shallow subtropical system.
Estuar. Coast. Shelf Sci.
279, 1–14
(2022).
Page 18/24
9. Ni, W., Li, M., Ross, A. C. & Najjar, R. G. Large Projected Decline in Dissolved Oxygen in a Eutrophic
Estuary Due to Climate Change.
J. Geophys. Res. Oceans
124, 8271–8289 (2019).
90. Geyer, W. R. Estuarine salinity structure and circulation.
Contemp. Issues Estuar. Phys.
12–26 (2010)
doi:10.1017/CBO9780511676567.003.
91. Geyer, W. R. & Ralston, D. K. 2.03 - The Dynamics of Strongly Stratied Estuaries. in
Treatise on
Estuarine and Coastal Science
(eds. Wolanski, E. & McLusky, D.) 37–51 (Academic Press, Waltham,
2011). doi:10.1016/B978-0-12-374711-2.00206-0.
92. Pein, J.
et al.
Seasonal Stratication and Biogeochemical Turnover in the Freshwater Reach of a
Partially Mixed Dredged Estuary.
Front. Mar. Sci.
8, (2021).
Figures
Figure 1
Conceptual diagram of estuarine mercury (Hg) cycling processes considered in the model. Each arrow
color highlights a distinct pathway in the Hg cycling process; orange arrows represent external inputs
into the water column, purple arrows show outputs from the water column, green arrows represent
biogeochemical transformations between the four main Hg species (divalent: HgII, elemental: Hg0,
monomethylmercury: MMHg, and dimethylmercury: DMHg), and yellow arrows show the physical forcing
and estuarine mixing mechanisms.
Page 19/24
Figure 2
Basin-wide long-term seasonal variation in water column stratication and river discharge in (A)
Chesapeake Bay (CPB) and (B) Hudson River Estuary (HRE). In both systems, the black lines represent
the calculated stratication parameter, and the green bars show the average river discharge across four
seasons: winter (December-February), spring (March-May), summer (June-August), and fall (September-
November). The background shading indicates different levels of stratication, with light blue
Page 20/24
representing well-mixed conditions and dark blue representing slightly stratied conditions in CPB, while
in HRE, light green shows slightly stratied conditions and dark green indicating highly stratied
conditions.
Figure 3
Effect of stratication on mercury (Hg) removal processes in the Chesapeake Bay and Hudson River
Estuary. (A) Illustrates the total Hg (THg) percentage in river discharge reaching the coastal ocean. (B)
Page 21/24
The relative contribution of THg removal processes from stratied and unstratied estuaries. The light
colors in the bar chart in Figure A and the background shading in the pie chart in Figure B represent
unstratied estuaries, and the dark colors represent stratied estuaries. The color-coded segments in the
pie charts represent different processes; the white color represents the evasion of gaseous Hg to the
atmosphere, the yellow color represents the burial of THg in the sediment, and the dark blue color
represents the export of THg from the estuary to the ocean.
Figure 4
Page 22/24
Mass budget of mercury (Hg) cycling in the estuaries under different stratication conditions at steady
state. A) Chesapeake Bay (CPB) under slightly stratied conditions during periods of increased river
discharge. B) Chesapeake Bay (CPB) under well-mixed conditions during periods of decreased river
discharge. C) Hudson River Estuary (HRE) under highly stratied conditions during periods of increased
river discharge. D) Hudson River Estuary (HRE) under slightly stratied conditions during periods of
decreased river discharge. The inorganic Hg reservoirs are in kmol, and the organic Hg reservoirs are in
mol. Each arrow color highlights a distinct pathway in the Hg cycling process, with orange arrows
representing external inputs into the water column, purple arrows representing outputs from the water
column, green arrows representing biogeochemical transformations between the four main Hg species,
and yellow arrows representing the estuarine mixing mechanisms.
Page 23/24
Figure 5
Changes in biogeochemical mercury (Hg) processes under different estuary stratication conditions.
The bar chart illustrates the variations in MeHg production, dimethylmercury (DMHg) evasion, the export
of methylmercury (MeHg) to the coastal ocean, and the input of riverine inorganic Hg between the
Hudson River Estuary (shown in dark green) and Chesapeake Bay (shown in light blue) as the systems
transition from slightly stratied to other stratication conditions (well-mixed and highly stratied).