Francesc Montserrat1, Phil Renforth2, Jens Hartmann3, Martine Leermakers1, Pol Knops4, Filip J R Meysman1,5,6. 1. Department of Analytical, Environmental and Geo-Chemistry, Free University of Brussels , Pleinlaan 2, 1050 Brussels, Belgium. 2. School of Earth and Ocean Sciences, Cardiff University , Main Building, Park Place, Cardiff, CF10 3AT United Kingdom. 3. Institute for Geology, Center for Earth System research and sustainability (CEN), Universität Hamburg , Bundesstraße 55, 20146 Hamburg, Germany. 4. Green Minerals B.V. , Boulevard 17, 6127 AX Grevenbicht, The Netherlands. 5. Aarhus Institute of Advanced Studies (AIAS), Aarhus University , Hoegh-Guldbergs Gade 6B, DK-8000 Aarhus C, Denmark. 6. NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems, and Utrecht University , Korringaweg 7, 4401 NT Yerseke, The Netherlands.
Abstract
Enhanced weathering of (ultra)basic silicate rocks such as olivine-rich dunite has been proposed as a large-scale climate engineering approach. When implemented in coastal environments, olivine weathering is expected to increase seawater alkalinity, thus resulting in additional CO2 uptake from the atmosphere. However, the mechanisms of marine olivine weathering and its effect on seawater-carbonate chemistry remain poorly understood. Here, we present results from batch reaction experiments, in which forsteritic olivine was subjected to rotational agitation in different seawater media for periods of days to months. Olivine dissolution caused a significant increase in alkalinity of the seawater with a consequent DIC increase due to CO2 invasion, thus confirming viability of the basic concept of enhanced silicate weathering. However, our experiments also identified several important challenges with respect to the detailed quantification of the CO2 sequestration efficiency under field conditions, which include nonstoichiometric dissolution, potential pore water saturation in the seabed, and the potential occurrence of secondary reactions. Before enhanced weathering of olivine in coastal environments can be considered an option for realizing negative CO2 emissions for climate mitigation purposes, these aspects need further experimental assessment.
Enhanced weathering of (ultra)basic silicate rocks such as olivine-rich dunite has been proposed as a large-scale climate engineering approach. When implemented in coastal environments, olivine weathering is expected to increase seawater alkalinity, thus resulting in additional CO2 uptake from the atmosphere. However, the mechanisms of marine olivine weathering and its effect on seawater-carbonate chemistry remain poorly understood. Here, we present results from batch reaction experiments, in which forsteritic olivine was subjected to rotational agitation in different seawater media for periods of days to months. Olivine dissolution caused a significant increase in alkalinity of the seawater with a consequent DIC increase due to CO2 invasion, thus confirming viability of the basic concept of enhanced silicate weathering. However, our experiments also identified several important challenges with respect to the detailed quantification of the CO2 sequestration efficiency under field conditions, which include nonstoichiometric dissolution, potential pore water saturation in the seabed, and the potential occurrence of secondary reactions. Before enhanced weathering of olivine in coastal environments can be considered an option for realizing negative CO2 emissions for climate mitigation purposes, these aspects need further experimental assessment.
Climate engineering approaches that aim to deliberately and actively
remove greenhouse gases from the atmosphere are categorized as carbon
dioxide removal (CDR) or negative emission technologies (NETs).[1] CDR or NETs are seen as a possible future complement
to current climate policies, which are presently only focused on the
reduction of CO2 emissions. Model studies emphasize that
the large-scale implementation of NETs will be needed to limit global
warming to within a 2 °C increase with respect to preindustrial
conditions.[2,3] The worldwide commitment to attain this
target, thus avoiding a “dangerous” level of climate
change, has been strengthened by the recent COP21 Paris Agreement.[4]Enhanced silicate weathering (ESW) is a NET approach in which the
natural process of (silicate) rock weathering is artificially stimulated.[5,6] The technique has been recognized as a potentially promising strategy
for CO2 removal from the atmosphere while at the same time
counteracting ocean acidification.[1,6−9] The implementation of ESW requires suitable source rock to be mined,
ground to small grain sizes, and subsequently spread over suitable
areas.[5] The mineral grains dissolve (i.e.,
chemical weathering), through which CO2 is eventually captured
from the atmosphere.[6,10] Olivine (Mg2–FeSiO4) is
an abundant and fast-weathering ultramafic silicate mineral and has
been advanced as a prime candidate mineral for ESW application.[5,11] The dissolution of olivine in an aqueous environment consumes protons
or equally increases alkalinity,[6,12,13] and so increases CO2 uptake by the aqueous medium (Supporting Information section 1).In theory, ESW can be applied in terrestrial soils,[5,6] in the surface mixed layer of the open ocean,[13] or by spreading minerals onto sediments of the coastal
zone and continental shelf.[14] The largest
application domain for ESW would be the open ocean, but model analysis
suggests that the olivine particles need to be ground to very small
sizes to facilitate dissolution in the surface ocean.[13] As such, the high grinding costs and CO2 emissions
during production potentially limit this approach. An alternative
scheme is the application of ESW to coastal and shelf environments,
where it could be integrated into existing coastal zone management
practices, such as dredging operations, land reclamation, and beach
nourishment. A theoretical examination of the concept of coastal ESW[14] has indicated advantages as well as challenges.
One important knowledge gap is that detailed experimental investigations
of olivine dissolution under natural conditions (i.e., realistic for
coastal ESW) are lacking. A better understanding of the rate and mechanism
of olivine dissolution in natural marine environments is needed to
better evaluate the feasibility and potential of coastal ESW as a
NET. Previous work has largely focused on olivine dissolution under
laboratory conditions using artificial seawater solutions.[15−18] Such idealized approaches potentially exclude important geochemical
and environmental influences that could be relevant under field conditions.Here, we specifically address a number of questions related to
the application of enhanced silicate weathering in natural coastal
environments: (1) What is the rate of olivine dissolution in natural
seawater and how does this differ from artificial seawater? (2) Does
olivine dissolve stoichiometrically in natural seawater? (3) What
dissolution products can be used to efficiently monitor the dissolution
rate of olivine in coastal sediments, i.e., quantify the efficiency
of enhanced silicate weathering? (4) To what extent does secondary
mineral formation diminish the CO2 sequestration efficiency
of olivine dissolution in seawater?We present results from dissolution experiments with simulated
grain–grain collisions, in which olivine was dissolved in natural
filtered seawater as well as in artificial seawater media with modified
cation composition. Potential proxies for quantifying the dissolution
rate of olivine are analyzed and compared. Based on these results,
we discuss a number of challenges for ESW in coastal environments.
Materials and Methods
Materials
Commercially available olivine sand (Mg2–FeSiO4) and lab-grade quartz (SiO2) were used in slurry
dissolution experiments. The olivine sand (particle size quantiles:
D10 = 91 μm, D50 = 143 μm, D90 = 224 μm) had a molar
Mg-to-Fe ratio of 0.94:0.06, characterizing the olivine as forsterite-94
(Fo94). The Ni content was estimated at 0.0075 mol Ni mol–1 olivine. Further details on the chemical composition,
grain-size distribution, and pre-experimental treatment are summarized
in Tables S1 and S2.Different reactive
seawater media were used as supernatant. Filtered seawater (FSW) was
collected as natural seawater from the Oosterschelde tidal basin (The
Netherlands) and filtered over a Mahle amaGuard FP 0.2 [μm]
woven cotton filter (Mahle Benelux, The Netherlands). In addition,
three types of artificial seawater were prepared according to the
ASTM Standard Practice D 1141–98[19] (Table S3): (1) plain artificial seawater
(ASW), (2) artificial seawater with Ca2+ replaced by Na+ (hereafter named ASW-Ca), and (3) artificial seawater with
both Ca2+ and Mg2+ replaced by Na+ (hereafter named ASW-CaMg).
Experiments
Specific amounts of olivine and quartz
grains were added to a specific volume of seawater in 500 mL borosilicate
glass bottles, which were then subjected to continuous rotating movements
on a CH-4103 rotating shaking platform (INFORS AG, Switzerland) set
at 155 rpm. The bottles were closed with membrane screw caps, equipped
with a 0.5 mm thick silicone septum that prevented evaporation but
allowed gas exchange. To prevent photosynthesis, the experiment took
place in the dark, while the bottles were wrapped in aluminum foil
(leaving the top of the membrane cap uncovered).A total of
three types of agitation experiments were conducted: A1, A2, and A3
(Supporting Information section 3 and Table S4). In both the A1 and A2 experiments, 0.1 mol of either olivine (OLI)
or quartz (QUA) were added to 300 mL of FSW, with one control treatment
(i.e., only seawater; SW). A total of three replicates were conducted
per treatment (n = 3). Experiment A1 was conducted
under ambient conditions, i.e. without regulation of temperature (range:
13.5–20 °C) and pCO2 (range: 445–525
ppmv), and lasted for 88 days. The second agitation experiment, A2,
had essentially the same setup as A1 except for a few modifications.
First, natural seawater was bubbled with air prior to the experiment
to ensure CO2 equilibration with the surrounding atmosphere.
Second, the experiment had a much shorter duration (20 days), and
it was conducted under stable temperature and pCO2 conditions.
The third experiment, A3, was designed to specifically investigate
the effect of the composition of seawater on the dissolution rate
of olivine (quartz was not investigated). Agitation experiment A3
was designed to examine the effect of the composition of seawater
on the dissolution rate. A3 was also conducted under stable temperature
and pCO2 conditions and used atmosphere-equilibrated reactive
fluids, bubbled with air. The dissolution of olivine (OLI) was monitored
in four reactive fluids (FSW, ASW, ASW-Ca, and ASW-CaMg; see the Supporting Information section 2) and compared
to control treatments (respective solution media without olivine).
Instead of 0.10 mol olivine used in A1 and A2, and 0.03 mol was used
in A3 (Table S3).To test the impact of agitation, a layer of olivine sand was placed
also in a nonmoving cylindrical container with FSW (n = 1). In this nonagitated treatment, the olivine itself was not
agitated. Rather, the overlying water was stirred, and only samples
for solid-phase analysis were collected.
Water and Solid-Phase Analysis
The overlying water
of the slurry batch reaction experiments was sampled at regular time
intervals and analyzed for temperature, salinity, pH, total alkalinity
(TA), dissolved inorganic carbon (DIC), dissolved silicate (Si), dissolved
nickel (Ni), and dissolved magnesium (Mg) using standard analytical
procedures[20,21] (see section 3 of the Supporting Information). All solute concentrations
are reported as μmol per kg of seawater (μmol kg–1).Upon completion of the A3 experiment, olivine grains were
recovered from the agitated and nonagitated treatments, inspected
for dissolution features, and analyzed for carbonate precipitates,
according to Nieuwenhuize et al.,[20] to
yield the mass percentage of inorganic carbon (mass% Cinorg). The elemental composition of the olivine particle surfaces were
investigated using scanning electron microscope energy-dispersive
X-ray spectroscopy (SEM–EDX). Additional details on both water
and solid-phase analyses can be found in section 3 of the Supporting Information.
Olivine Dissolution Rate Calculations and Simulations
The accumulation over time of the reaction products in the reactor
vessels is reported as excess concentration values, ΔCi(t) = Ctreatment(t) – Ccontrol(t). In this, the control refers to
the treatment without the addition of any solid minerals. A total
of three empirical mathematical models were implemented to describe
ΔCi(t) as a function
of the incubation time, and from these model fits, the accumulation
rate Ri [μmol kg–1 day–1] of compound i and the associated area-specific
dissolution rate constant ki [μmol
m–2 day–1] were derived (section 4 of the Supporting Information). Note
that in the case of stoichiometric dissolution, the rate constants ki should be, at least in theory, identical for
all olivine dissolution products.The accumulation of weathering
products and the change of solution chemistry during the batch dissolution
experiments was also mechanistically simulated using the geochemical
software package PHREEQC v2[22]· In
these simulations, the solution chemistry (and, hence, the saturation
states) were free to evolve with time as a consequence of mineral
dissolution (kinetic rate equations specified in section 4 of the Supporting Information). Solubility constants
were taken from the MINTEQ.dat and LLNL.dat databases to calculate
the saturation states of solid phases in the solution. The measured
initial composition of the solution, which was specific for each treatment,
was used as the starting conditions for the PHREEQC simulations.All mathematical analyses, apart from the PHREEQC analyses, and
plotting were done using the open source R framework for statistical
computing.[23]
Results
Olivine and Quartz Dissolution in Natural Filtered Seawater
In the A1 and A2 experiments, we investigated the dissolution of
olivine and quartz in natural filtered seawater. In both A1 and A2,
there was a clear ΔSi signal in the quartz treatment (QUA),
most likely caused by dissolution of very fine quartz particles (Figure ). ΔSi increased
until ∼18 μmol kg–1 within the first
week of the experiments, after which it remained constant. There was
no discernible Ni release in the A1 and A2 quartz treatment (Figure ), and hardly any
response from the carbonate system. The ΔpH increased by 0.05
within the first 2 weeks but then decreased again to its initial value
by the end of the experiment. While ΔTA remained constant with
time, ΔDIC decreased with 22 μmol kg–1 during the first 15 days, likely caused by CO2 outgassing,
as the initial solution in A1 may not have been in equilibrium with
the atmosphere (sections 2 and 3 of the Supporting Information). In the A2 experiment, the experimental procedure
was improved, and the FSW medium was bubbled with ambient air at the
start of the experiment. As a result, the carbonate system variables
ΔDIC, ΔTA, or ΔpH did not change significantly over
time (linear regression, p = 0.35, p = 0.28, and p = 0.696, respectively).
Figure 1
Temporal development of olivine dissolution response variables
in experiments A1 and A2. Symbols denote mean seawater-corrected values
(see the Materials and Methods section), with
error bars denoting standard error of the mean (SEM). Circles: values
from experiment A1; triangles: values from experiment A2. The values
for both experiments are plotted with the olivine (OLI) and quartz
(QUA) treatments plotted alongside on the same vertical scale for
comparison. The reported units are μmol/kg of seawater, except
for pH, which is in pH units on the total scale.
Temporal development of olivine dissolution response variables
in experiments A1 and A2. Symbols denote mean seawater-corrected values
(see the Materials and Methods section), with
error bars denoting standard error of the mean (SEM). Circles: values
from experiment A1; triangles: values from experiment A2. The values
for both experiments are plotted with the olivine (OLI) and quartz
(QUA) treatments plotted alongside on the same vertical scale for
comparison. The reported units are μmol/kg of seawater, except
for pH, which is in pH units on the total scale.In the olivine treatment (OLI) of experiment A1, increases with
time of both ΔSi and ΔNi were observed, suggesting olivine
dissolution (Figure ). While ΔNi leveled off at 3.2 μmol kg–1, suggesting that an equilibrium was reached, ΔSi increased
almost linearly over the 88 day incubation period, displaying a much-stronger
dissolution than in the QUA treatment. Experiment A2 showed a similar
temporal evolution of ΔSi and ΔNi (Figure ). ΔTA showed a pronounced increase
over the first 5 days (Figure ), leveling off thereafter at ΔTA = 103 μmol kg–1. ΔDIC increased in a similar way, albeit over
a slightly longer period of ∼15 days, leveling off at ΔDIC
= 93 μmol kg–1. The pH in the olivine treatment
increased rapidly over the first 5 days by ∼0.1, after which
it decreased again and leveled off at ΔpH = 0.02 (Figure ). The carbonate system in
A2 showed a similar pattern, with ΔTA and ΔDIC leveling
off at 104 and 74 μmol kg–1, respectively
(Figure ). Similar
to experiment A1, the ΔpH in A2 increased strongly within the
first 6 days by ∼0.15, after which it decreased again to ΔpH
= 0.06 (Figure ).
Olivine Dissolution in Artificial Seawater Media with Different
Cation Composition
In experiment A3, large differences in
the release of dissolution products were observed between the different
seawater media. All four media displayed a quasi-linear ΔSi
response with time (Figure ). The ΔSi attained at the end of the experiment was
lowest in the natural seawater (FSW: 68 μmol Si kg–1) and artificial seawater (ASW: 82 μmol Si kg–1) and increased markedly when Ca2+ and Mg2+ were replaced by Na+ in the medium (ASW-Ca: 122 μmol
Si kg–1; ASW-CaMg: 162 μmol Si kg–1).
Figure 2
Temporal development of olivine dissolution response variables
in experiment A3. Symbols denote mean seawater-corrected values (see
the Materials and Methods section) for the
olivine treatment (OLI), with error bars denoting standard error of
the mean (SEM). Circles: values from filtered seawater treatment (FSW);
triangles: values from artificial seawater treatment (ASW); squares:
values from artificial seawater without calcium treatment (ASW-Ca);
diamonds: values from artificial seawater without calcium and magnesium
treatment (ASW-CaMg). The reported units are μmol/kg of seawater
(corrected for control values), except for pH, which is in pH units
on the Total scale.
Temporal development of olivine dissolution response variables
in experiment A3. Symbols denote mean seawater-corrected values (see
the Materials and Methods section) for the
olivine treatment (OLI), with error bars denoting standard error of
the mean (SEM). Circles: values from filtered seawater treatment (FSW);
triangles: values from artificial seawater treatment (ASW); squares:
values from artificial seawater without calcium treatment (ASW-Ca);
diamonds: values from artificial seawater without calcium and magnesium
treatment (ASW-CaMg). The reported units are μmol/kg of seawater
(corrected for control values), except for pH, which is in pH units
on the Total scale.The Ni release showed a saturation-type response, which varied
between media. In the FSW, ASW, and ASW-Ca treatments (Figure ), the ΔNi concentration
showed a comparable accumulation (plateau concentrations between 1.19
and 1.68 μmol Ni kg–1). In contrast, the ASW-CaMg
treatment showed hardly any Ni accumulation, apart from a small initial
release, which was taken up again by the end of the experiment.The carbonate system (TA, pH, and DIC) responded very differently
in the Ca- and Mg-free seawater compared to the three other treatments.
Although the shape of the response curves were similar, the overall
accumulation of alkalinity (ΔTA = 340 ± 14 μmol kg–1) and dissolved inorganic carbon (ΔDIC = 317
± 11 μmol kg–1) was substantially higher
in the ASW-CaMg compared to the other treatments (range ΔTA
= 41–69 μmol kg–1 and ΔDIC =
31–66 μmol kg–1 in FSW, ASW, and ASW-Ca).
The ΔTA and ΔDIC in ASW-CaMg quickly increased over the
first 10 days, after which the increase rate slowed down and the accumulation
became linear. The long-term accumulation, i.e. between 30 and 137
days, was higher for DIC (168 ± 50 μmol kg–1) than for TA (127 ± 12 μmol kg–1).The ΔpH showed an “overshoot” response, with
a sharp initial increase in the first 5 days, reaching maximum between
4 and 7 days, after which the ΔpH gradually decreased and tended
toward an asymptotic equilibrium value at the end of the experiment
(Figure ). Consistent
with the stronger alkalinity accumulation in the Ca- and Mg-free seawater,
the long-term pH (pHt137 minus pHt0) increase
was much higher in the Ca- and Mg-free seawater (ΔpH = 0.06),
compared to the other three treatments (range in ΔpH = −0.01
to 0.035 at 137 days).
Olivine Dissolution Stoichiometry and Rates
PHREEQC
kinetic modeling of the ASW, ASW-Ca, and ASW-CaMg treatments suggested
that all reactive fluid media in experiment A3 were undersaturated
for forsterite (Ωforsterite = 10–5 for FSW, ASW, and ASW-Ca and Ωforsterite = 10–10 for ASW-CaMg).The accumulation rates R were determined by the best model fit[23] (see Figure S6 for representative
examples) to the response curves of the olivine dissolution products
ΔSi, ΔNi, ΔMg, and ΔTA and the ensuing CO2 sequestration ΔDIC (Table ). As emphasized above, different dissolution
products tended to have different response curves within the same
treatment, thus indicating nonstoichiometric dissolution (Table ). In the case of
ΔSi, the accumulation response was generally best described
by a linear model (model 1, Table S5),
while for ΔTA, ΔDIC, ΔMg, and ΔNi, the profiles
were typically best fitted with a saturation model (model 2, Table S5) or a combination of short-term saturation
with a long-term linear increase (model 3, Table S5). Only in the ASW-CaMg treatment (experiment A3) could all
variables be described best by model 3 (Table S5)
Table 1
Release Rate Rimax (μmol kg–1 day–1) of Each of the Measured i Variables ΔSi, ΔNi,
ΔMg, ΔTA, and ΔDIC within Each Experimenta
exp
medium
.RΔSi
RΔNi
RΔMg
RΔTA
RΔDIC
A1
FSW
0.91
0.23
39.92
6.32
A2
FSW
2.81
0.42
52.32
13.62
A3
FSW
0.62
0.13
11.52
7.92
ASW
0.61
0.23
332
2.12
ASW-Ca
0.91
0.22
1.62
1.72
ASW-CaMg
3.83
0.23
35.43
32.43
22.73
The number next to each of the Rimax values corresponds to the model
that best fit the data (for the significance of parameters, see the Materials and Methods section), where 1 = linear
model, 2 = saturation model, 3 = combined model according to the equations
in Table S6.
The number next to each of the Rimax values corresponds to the model
that best fit the data (for the significance of parameters, see the Materials and Methods section), where 1 = linear
model, 2 = saturation model, 3 = combined model according to the equations
in Table S6.To further illustrate the absence of stoichiometric dissolution
in either natural or artificial seawater in the presence of magnesium, Figure S8 plots the accumulation of response
variables in experiment A3 normalized for stoichiometry (Table S1: ΔSi/1, ΔTA/4, ΔNi/0.0075,
and ΔMg/1.87). Only in the ASW-CaMg treatment did olivine dissolution
tend to become stoichiometric, as shown by the similar responses for
ΔMg and ΔTA (Figure S8).Because of nonstoichiometric dissolution, the olivine dissolution
rate constant ki showed a dependence on
the response variable (ΔSi, ΔNi, ΔMg, ΔTA,
and ΔDIC; Table ). The rate constant based on ΔNi (kΔNi) is the highest of all response variables and is similar across
all treatments (31–74 μmol of olivine m–2 day–1). In the ASW-CaMg treatment, kΔMg (63 μmol of olivine m–2 day–1) was consistent with kΔNi values, while kΔSi were an order of magnitude lower than kΔNi values in the reactive fluid media containing Mg2+ (Table and 2). The exclusion of Mg2+ in the Mg-free reactive
fluid (ASW-CaMg) increased kΔSi by
1 order of magnitude. The values of both kΔ and kΔDIC show
substantial variation between treatments, and are highest in the ASW-CaMg
treatment. The temperature-normalized[24] (to 25 °C) mean values for ki (where
i = ΔSi, ΔNi, ΔTA, or ΔDIC), for the FSW and
ASW cases are shown in Figure (the ASW-Ca and ASW-CaMg treatments are considered unrealistic
for ESW and are thus excluded).
Table 2
Olivine Dissolution Constant ki (μmol m–2 day–1) Based on the Rimax (Table ) of Each of the i Variables ΔSi, ΔNi, ΔMg, ΔTA,
and ΔDIC within Each Experiment
exp
solvent
kΔSi
kΔNi
kΔMg
kΔTA
kΔDIC
A1
FSW
1
31
16
2
A2
FSW
3
56
13
3
A3
FSW
2
60
10
7
ASW
2
74
28
2
ASW-Ca
3
65
2
1
ASW-CaMg
13
65
63
27
19
Figure 3
Olivine dissolution rate constant k, calculated
as the mean (± SD) value of the different response variables
measured in the three agitation experiments A1, A2, and A3 (Table S4). To obtain the most-realistic estimates
for olivine dissolution in seawater, only values from the FSW and
ASW treatments were considered. For comparison, the estimated value
by Hangx and Spiers[14] from previous studies
(literature, H&S 2009) is given in the same units as the rates
obtained in this study. The literature value and range are denoted
by the gray circle and the gray area for clarity. The gray triangles
represent the values obtained in this study at 17 °C but recalculated
to 25 °C, the same standard temperature as the literature estimates.
Olivine dissolution rate constant k, calculated
as the mean (± SD) value of the different response variables
measured in the three agitation experiments A1, A2, and A3 (Table S4). To obtain the most-realistic estimates
for olivine dissolution in seawater, only values from the FSW and
ASW treatments were considered. For comparison, the estimated value
by Hangx and Spiers[14] from previous studies
(literature, H&S 2009) is given in the same units as the rates
obtained in this study. The literature value and range are denoted
by the gray circle and the gray area for clarity. The gray triangles
represent the values obtained in this study at 17 °C but recalculated
to 25 °C, the same standard temperature as the literature estimates.
SEM–EDX
SEM–EDX analyses of mineral grains
from fresh, unreacted olivine were generally angular, with sharp edges
(Figure A). In contrast,
olivine grains that had been rotating during the entire experiment
(137 days) were generally subrounded (Figure B), suggesting abrasion due to grain–grain
collisions. The Mg-to-Si atomic ratios (Mg/Si) at the surface of the
unreacted particles were significantly higher (mean ± SEM Mg/Si
= 2.11 ± 0.02, ngrains = 6; Figure S9) than for grains that were agitated
in solution (mean ± SEM Mg/Si 1.7 ± 0.04–2 ±
0.03, ngrains = 3–10; Figure S9). This suggests preferential mobilization
of Mg during dissolution, consistent with the higher dissolution rates
obtained for Mg and Ni compared to Si. The preferential leaching of
Mg2+ (lowest Mg-to-Si ratio) was most prominent in the
ASW-CaMg treatment (Figure S10), where
areas with Mg/Si ≤ 1 and lower were observed. No carbonate
minerals were observed on any of the analyzed olivine grains.
Figure 4
(A) SEM–EDX micrograph of unreacted olivine (substrate material)
with very clear angular features and sharp edges. The Mg-to-Si atomic
ratio in area 1 typically lies between 2 and 2.5. (B) SEM–EDX
micrograph of an olivine particle after being subjected to continuous
movement in FSW during 137 days (experiment A3). On the surface of
the same olivine particle, abrupt changes in Mg-to-Si atomic ratios
can be observed within small distances. Areas denoted with 1 are characterized
by Mg-to-Si atomic ratios of 2–2.5, while Mg-to-Si atomic ratios
in areas denoted with 2 showed values of around 1. Such locations,
where the Mg-to-Si ratio decreases well below 2, are considered local
weathering sites.
(A) SEM–EDX micrograph of unreacted olivine (substrate material)
with very clear angular features and sharp edges. The Mg-to-Si atomic
ratio in area 1 typically lies between 2 and 2.5. (B) SEM–EDX
micrograph of an olivine particle after being subjected to continuous
movement in FSW during 137 days (experiment A3). On the surface of
the same olivine particle, abrupt changes in Mg-to-Si atomic ratios
can be observed within small distances. Areas denoted with 1 are characterized
by Mg-to-Si atomic ratios of 2–2.5, while Mg-to-Si atomic ratios
in areas denoted with 2 showed values of around 1. Such locations,
where the Mg-to-Si ratio decreases well below 2, are considered local
weathering sites.
Potential for Carbonate Precipitation
The inorganic
carbon content (Cinorg) in the solid mineral
phase recovered from experiment A3 was very low (mean Cinorg < 0.005%) and was not significantly different
between the four treatments (one-way ANOVA, p = 0.112; Figure S9). Small changes in the solid-phase
carbonate content (which are difficult to measure) could nevertheless
be associated with substantial changes in the alkalinity of the supernatant.
Although not significantly different, the difference in Cinorg content between FSW and ASW-CaMg was 0.003 mass
percent. If this difference would be real and caused by carbonate
precipitation, this would imply that the FSW contained 37 μmol
kg–1 of CaCO3 in excess to the ASW-CaMg,
when expressed per unit volume of fluid. The absence of this precipitation
would hence cause the alkalinity to be 74 μmol kg–1 higher in ASW-CaMg. However, the measured ΔTA difference between
the ASW-CaMg treatment and the FSW and ASW was much higher, amounting
to ca. 300 μmol TA kg–1 at the end of experiment
A3 (Figure ). Accordingly,
carbonate precipitation cannot explain the difference in alkalinity
between the FSW and ASW-CaMg treatments, and so it was likely that
more olivine dissolution took place in the ASW-CaMg treatment.
Discussion
The dissolution experiments here demonstrate several features regarding
olivine weathering in seawater and its potential applications for
ESW in coastal settings. First, the basic principle underlying ESW
in seawater appears to work. Olivine dissolution in natural seawater
under nonsterile laboratory conditions consistently causes alkalinization,
followed by CO2 invasion from the atmosphere into the seawater,
at rates in agreement with those estimated by previous studies.[14,24,25] Second, apparent nonstoichiometric
dissolution complicates the experimental determination of the rate
and extent of olivine dissolution within the seabed, making it more
challenging to assess of the efficiency of ESW. Therefore, the quantification
of the actual olivine dissolution rate under realistic in situ conditions
will require a multiparameter approach, combining flux measurements
of dissolved silicate, dissolved metals (nickel and iron), and alkalinity,
with appropriate experimental controls. Third, the rate of olivine
dissolution within the seabed can be limited by saturation effects,
which could decrease the efficiency of ESW applications. Fourthly,
the extent to which secondary reactions impact the CO2 sequestration
efficiency of olivine dissolution under in situ conditions remains
unresolved and is an important issue to address in further studies
on coastal ESW. We will now discuss each of these aspects in more
detail.
Quantification of the Olivine Dissolution Rate
To be
implemented as a negative emission technology for climate change mitigation,[7] the carbon sequestering potential of marine olivine
dissolution needs to be quantified. In other words: How much olivine
dissolution occurs within the seabed? What is the time frame in which
olivine particles react? How much CO2 is eventually taken
up by the seawater as a consequence of ESW?The overall CO2 sequestration rate (RCO; mol CO2 per m2 of seabed per unit of
time) can be expressed asTo determine the effectiveness of coastal
ESW, both the factors γCO and ROLI need to be accurately constrained. The CO2 sequestration efficiency γCO specifies the net amount of CO2 that is taken up from
the atmosphere during the dissolution of 1 kg of olivine within the
seafloor (this parameter will be further discussed below). For a given
amount of finely ground olivine distributed onto the seafloor (COLI; mol of olivine m–2 of
seabed), the olivine dissolution rate (ROLI; mol of olivine per m2 of seabed per unit of time) determines
over what time frame the ESW application will be effective (dissolution
period τ = COLI/ROLI). The olivine dissolution rate ROLI further depends on the specific surface area of the mineral
grains (Asurface; m2 g–1) and the intrinsic dissolution rate constant (kOLI; mol of olivine per m2 of grain
surface area per unit of time).In practical ESW applications, the olivine dissolution rate (ROLI) within the seabed can be determined experimentally
by monitoring the release of olivine dissolution products from the
seabed. This poses the question as to which dissolution product (e.g.,
Mg2+, Si, and TA) should be monitored as a reliable proxy
for the olivine dissolution rate in field-type experiments. The use
of both dissolved silicate and alkalinity is nontrivial as these are
generated in sediments by other processes than olivine dissolution.[26] Any observed sediment efflux of dissolved silicate
and alkalinity can thus not be exclusively attributed to olivine dissolution.
Furthermore, Mg2+ cannot be used as a dissolution proxy
due to the high background concentration in seawater (∼50 mmol
of Mg2+ kg–1 of seawater), and thus,
its accumulation in the overlying water cannot be reliably measured.Our experiments suggest that Ni2+ could be a suitable
dissolution proxy, generating a dissolutive accumulation, which substantially
supersedes the ambient seawater concentration[27,28] (0.002–0.16 μmol Ni kg–1). This way,
pore water accumulation and sediment fluxes of Ni can be accurately
measured using standard analytical techniques for trace metals (e.g.,
inductively coupled plasma–mass spectrometry). However, to
qualify as a good proxy for sedimentary dissolution of olivine, two
important conditions need to be fulfilled. First, the efflux of the
olivine proxy (Ni) from the sediment should also match the release
rate of the weathering products in the pore solution. In this regard,
Ni2+ seems an advantageous proxy. The natural cycling of
Ni2+ in coastal sediments is restricted, and so the observed
Ni2+ efflux from the sediment in olivine addition experiments
can be fully attributed to olivine dissolution. Still, in future studies,
it should be verified whether the Ni2+ release is modulated
by diagenetic effects within the sediment (e.g., sorption onto minerals).A second important condition is that stoichiometric dissolution
of olivine occurs, so that the Ni2+ release can be properly
rescaled to the overall olivine dissolution rate ROLI by means of the Ni content of the olivine source rock
that is used[25]· However, our experiments
suggest that this not the case (Tables 1 and 2). The experiments A1–A3 show that, when
assessed over short-time scales, the dissolution of olivine in seawater
is nonstoichiometric, implying incongruent dissolution under Earth
surface conditions[29]· In the absence
of secondary precipitation reactions, nonstoichiometric dissolution
cannot continue indefinitely. Experiments of longer time scales should
therefore clarify to what extent the Ni2+ release from
sediments can be a valid proxy for in situ olivine dissolution.In our dissolution experiments, the k value for Si (determined at the initial time t0) was ca. 30 times lower compared to that of
Ni (or Mg). This suggests a preferential release of divalent cations,
respective to silicate. The preferential release of metal cations
(Ni2+ and Mg2+) compared to Si, and the observed
quasi-linear increase in ΔSi are typical for solid-state diffusion
in silicate minerals,[29] which facilitates
the formation of a “surface (altered) layer”.[30] The crystal ionic radius of nickel (83 pm) is
only slightly smaller than that of magnesium[31] (86 pm), implying that both metal ions will have a similar rate
of solid-state diffusion. Both Pokrovsky and Schott[25] and Palandri and Kharaka[22] already
suggested that for slightly alkaline solutions (e.g., seawater), forsterite
dissolution at steady-state is controlled by the decomposition of
a protonated surface complex, which is silica-rich and magnesium-deficient.
Maher et al.[32] postulate that olivine dissolution
occurs as a series of boundary layer processes, in which primary dissolution
of cations is followed by dissolution of silicic acid ions, which
may subsequently repolymerize at the surface. This implies that the
measured dissolved silica release rate is a net value, which may not
serve as the sole proxy for olivine dissolution. Although in some
SEM–EDX images -particularly those from the ASW-CaMg treatment
(Figure S10), the particle surface did
look as if flakes of surface material had been detaching, and the
examined olivine grains did not show any evidence of secondary silicate
precipitates.[17,33−35]A significant finding here is that SEM–EDX analyses show
decreasing Mg-to-Si atomic ratios of the forsterite surface between
initial substrate and reacted material (Figure S9). Rather than a buildup of thick silica formations, these
decreasing Mg-to-Si ratios corroborate the mechanism of a cation-leached,
surface altered layer formation by preferential dissolution and subsequent
repolymerization processes sensu Hellmann et al.[30] and Maher et al.[32] The time
scale on which the weathering takes place in this study is much longer
than in high-temperature and high-pressure studies or studies in which
an elevated pCO2 is employed.[29] This so-called “unstrained dissolution”,[36] combined with physical disturbances, such as
grain abrasion, does not allow for the buildup of a conspicuous passivating
layer or thick silicate precipitates.The nonstoichiometric dissolution as observed in the experiments
here emphasizes that the proper quantification of olivine dissolution
in field-type ESW experiments requires a careful experimental design.
Overall, the nonstoichiometric dissolution of olivine makes the experimental
assessment of ESW more challenging. One cannot simply measure one
dissolution proxy (e.g., Ni2+) and estimate the release
of other reaction products by application of reaction stoichiometry.
Moreover, both dissolved silicate and alkalinity are generated in
sediments by other processes than olivine dissolution.[26] From a biogeochemical perspective, it is crucial
to know how olivine dissolution stimulates the efflux of dissolved
silicate and alkalinity from the seabed because the efflux of alkalinity
is the ultimate driver of CO2 uptake,[37] while silicate could stimulate primary productivity by
marine diatoms. Hence, a multiparameter assessment, combining flux
measurements of Ni2+, dissolved silicate, and alkalinity
with appropriate experimental controls, seems to provide the best
strategy to confidently determine the olivine dissolution rate under
in situ conditions.
Impact of Saturation
The values for the dissolution
rate constant k of olivine in seawater obtained in
this study are consistent with literature values. For the temperature
ranges used in FSW and ASW, the dissolution rate constant varied between
1.9 ± 0.8 μmol of olivine m–2 day–1 for kSi and 56 ±
18 μmol of olivine m–2 day–1 for kNi (mean ± SD values). Normalized
for temperature differences, these k value ranges
corresponded well with the mean value of 14 μmol of olivine
m–2 day–1, as compiled by Palandri
and Kharaka[22] and Hangx and Spiers,[14] of which the latter had an order of magnitude
of variation around the mean (Figure ).The nonstoichiometric dissolution in the seawater
media FSW and ASW, together with the saturation behavior observed
in the TA, Mg2+, and Ni2+ results (Figure ), suggest that the
olivine dissolution approached thermodynamic equilibrium, thus slowing
down the reaction. Only by using a lower solubility product for forsterite
(log K = 26.448) than those found in the PHREEQC
databases did model simulations indeed show a slowing of the dissolution
reaction by saturation, mirroring our experimental observations. Furthermore,
the DIC accumulation followed that of alkalinity perfectly in all
cases, albeit with a time lag. This lag is due to the relatively slow
process of CO2 invasion[38] and
is also observed in the pH response, which first increases to reach
a maximum and then subsequently decreases again. This pH response
reflects the initial removal of protons through olivine dissolution,
followed by a replenishment of the proton pool by lagged CO2 transfer.The observed time response of the reaction products in our experiments
provide a first idea about the possible influence of saturation effects
under in situ conditions. Our experiments show that saturation occurs
within a time frame of about 20 days (Figures 1 and 2), for an experimental setup with 15
g of olivine in 300 mL of seawater (i.e., 20 mL of solution g–1 of olivine). Assuming the same dissolution rate occurs
under in situ pore water conditions, the ratio of pore solution to
olivine will be lower. For example, if 10–20% of the solid
sediment consists of olivine (mixing a 1–2 cm olivine layer
into the top 10 cm of sediment) and assuming a porosity of 0.8 and
an olivine particle density of 3.3 g mL–1, we obtain
a ratio of 6–12 mL of solution g–1 of olivine.
Based on our results, we determined that such a pore solution will
be saturated within 4.5 to 9 days, after which olivine dissolution
will slow down and cease. However, the pore water of coastal sediments
is also regularly refreshed through physical, advective pore water
flow induced by waves and currents[39] and
biological irrigation by burrowing macrofauna.[40,41] Coastal sediments subject to moderate and high bioirrigation show
flushing rates in the range of 10–100 L m–2 day–1,[39] implying that
the pore solution of the first 10 cm would be refreshed on a time
scale of 0.5–8 days (assuming a porosity range from 0.5 to
0.8). In these sediments, irrigation appears sufficient to counteract
the saturation of olivine dissolution in the pore water. However,
in more cohesive (muddy) coastal sediments with flushing rates <10
L m–2 day–1, saturation effects
can be expected, which could decrease the efficiency of enhanced olivine
weathering applications. Therefore, a judicious choice of the application
location seems warranted.[42]
CO2 Sequestration Efficiency
The experiments
in this study were performed in a setup that allowed free gas exchange
with the atmosphere, while internal biological processes affecting
the DIC pool were excluded (i.e., primary production and microbial
degradation of organic matter).[26,37] Accordingly, the observed
DIC increase in the experiments can be entirely attributed to CO2 invasion induced by olivine dissolution, illustrating the
proof-of-principle that ESW enhanced silicate weathering works as
a NET.The CO2 sequestration efficiency expresses
the amount of CO2 transferred across the air–sea
interface per unit mass of silicate rock that dissolves within the
seabed and can be written asThis formulation reflects the two consecutive
steps in the process of CO2 sequestration. In a first step,
olivine dissolution takes place (rate ROLI), which increases alkalinity in the pore solution (rate RTA). This alkalinity increase will then shift
the acid–base equilibrium from dissolved CO2 to
bicarbonate and carbonate, thus stimulating a CO2 uptake
from the atmosphere across the air–sea interface (rate RCO).[26,37] The CO2 sensitivity(∂ΣCO2/∂TA)pCO specifies how much CO2 is taken
up from the atmosphere for each mole of alkalinity that is released
from the seabed. This thermodynamic factor is evaluated at a given
partial pressure of CO2 in the atmosphere and is dependent
on the local salinity, temperature, and chemical composition of the
coastal seawater.[43] Calculating the CO2 sensitivity over the entire experimental period, and for
all the experiments that had full ionic strength of seawater (A1,
A2, A3: FSW and A3: ASW), we obtain a CO2 sensitivity of
0.84 ± 0.1 (mol of DIC mol–1 of TA), which
is in close agreement with the theoretical value 0.854 for seawater
at the experimental conditions employed (T = 17 °C, S= 33, TA = 2400 μmol L–1, and pCO2 = 400 ppmv).[44]Accordingly, the CO2 uptake in our experiments appears
entirely congruent with the standard acid–base thermodynamics
of the carbonate system in seawater. Nevertheless, the alkalinity
increase during olivine dissolution, RTA/ROLI, was less than expected. Traditionally,
olivine dissolution is described by the reaction equation:Because 4 moles of protons are consumed per
mole of olivine dissolved, and hence 4 mol of alkalinity are produced,
a ratio (ΔTA/ΔSi = 4 (RTA/ROLI = 4)) is expected. Only in the ASW-CaMg
treatment, the ΔTA/ΔSi approached the expected value of
4, while it was substantially less in the FSW, ASW, and ASW-Ca treatments.
These observations suggests that the Equation does not provide a complete description of
the overall olivine dissolution process, but that secondary reactions
could be active. Overall, CO2 sequestration efficiency
can be formulated asHere, 4 denotes the theoretical stoichiometry
between olivine dissolution and CO2,[5,14] and x denotes a reduction in the CO2 sequestration
efficiency due to secondary reactions. Because our slurry experiments
were conducted with oxygenated seawater, one such possible reaction
is the aerobic oxidation of ferrous iron:This reoxidation process produces free protons,
thus consuming again the alkalinity generated during dissolution of
the Fe-component of olivine. The olivine employed here contains 6%
of Fe (Table S1), which would reduce the
alkalinity release by an equal percentage. However, this reduction
is not enough to explain the observed ΔTA/ΔSi values.
Another possibility to reduce the ΔTA-to-ΔSi ratio is
calcium carbonate precipitation:Although the supernatant in the FSW and ASW
was saturated with respect to calcite and aragonite, magnesium is
known to act as an inhibitor for CaCO3 nucleation in seawater,
limiting its precipitation[45,46]· Moreover, exclusion
of Ca2+ and Mg2+ from the ASW-CaMg (section 3 of the Supporting Information) implied
a strong undersaturation with respect to calcium and magnesium carbonate,
thus preventing carbonate precipitation. Additionally, our SEM–EDX
analyses did not reveal carbonate minerals on the surface of olivine
grains, while at the end of the dissolution experiment, no significant
increase in the inorganic carbon (carbonate) content of the solid
phase was observed. Accordingly, we consider carbonate precipitation
unlikely in the batch experiments performed here, and hence, the cause
of the ΔTA/ΔSi < 4 remains unexplained and requires
further investigation.Thermodynamic modeling in Griffioen[47] suggests that precipitation of the hydrated phyllosilicate sepiolite
(Mg4Si6O15(OH)2·6H2O) could reduce ΔTA/ΔSi values, thus inducing
a lower CO2 sequestration efficiency of enhanced olivine
weathering in seawater. However, no sepiolite was found in the XRD
analyses. The extent to which secondary reactions impact the CO2 sequestration efficiency of olivine dissolution under in
situ conditions within the seabed remains an important issue to address
in further studies on coastal ESW.Due to the exclusion of Mg2+ and Ca2+, the
ionic strength of the ASW-CaMg medium was lower than that of the ASW
(Table S3). The ionic strength of the ASW
was 0.72 mol kg–1, while that of ASW-Ca was 0.015
mol kg–1 (or 2%) lower than ASW. Equally, the ionic
strength of ASW-CaMg was 0.0975 mol kg–1 (or 13%)
lower than that of ASW. Ionic strength impacts the activity coefficients
of aqueous species and has been found to impact dissolution kinetics,
particularly at lower pH.[16] Still, other
factors (i.e., pCO2, pH, and saturation state) exhibit
a much larger influence on dissolution kinetics[48,49]· Given the relatively high pH in the reactive fluids (pH 7.9–8.2)
and the fact that all solutions were highly undersaturated with respect
to fosterite, the impact of the lower ionic strength of the ASW-CaMg
was likely to be very small.The rate at which CO2 is sequestered due to olivine
dissolution in seawater can thus be formulated as the following relation:Here, 4 denotes the theoretical stoichiometry
between olivine dissolution and CO2,[5,14]ROLI is the olivine dissolution rate, γCO is the reaction efficiency of the CO2 sequestration in seawater, and x is the molar fraction
of Fe in the olivine source material.
Olivine Application in a Coastal Geo-Engineering Framework
To place coastal ESW in a broader perspective, a real-world example
illustrates its carbon-capturing potential. The Netherlands is a densely
populated, industrialized country, with a GDP of ca. 850 billion USD
(2013) and ca. 50% of its surface area below sea level.[50] To protect the coastal region of the country
where ca. 60% of the GDP is produced,[51,52] continuous
large-scale sand nourishments are needed. Between 2000 and 2010, ca.
12 million m3 (Mm3) sand per year have been
deployed along The Netherlands’ coast, which is expected to
increase due to predicted climate change-induced sea level rise[51,52] (https://www.noordzeeloket.nl/en/functions-and-use/surface-mining-and-quarrying/).In a thought experiment, the sand used in these coastal
nourishments is replaced by finely ground olivine, as used in the
experiments described here. In a hypothetical one-time application
of 12 Mm3 (≈ 26 Mt) of olivine sand, parameter values
for kΔTA obtained in our experiments
(Table ) were implemented
in the Olsen[53] shrinking core model for
olivine carbonation (assuming the measured olivine particle size distribution;
see section 2 of the Supporting Information). This model has been previously implemented in ten Berge et al.,[54] describing total mass of olivine weathered and
consequential CO2 captured (section 8 of the Supporting Information). Our simulations showed a
cumulative weathering of 4% of the olivine after the first year, 12%
after 5 years, 35% after 25 years, 57% after 50 years, and 84% after
100 years (Figure A). After 200 years, 98% of the initially applied 12 Mm3 olivine will be dissolved. These values are in accordance with those
presented by Hangx and Spiers,[14] in which
100 μm (median diameter: D50) olivine
grains would take >100 years to dissolve.
Figure 5
(A) Model results of both absolute and relative cumulative dissolution
over time (using dissolution rate constant values as obtained from
the experiments in this study) of a one-time hypothetical coastal
olivine application of 12 Mm3, or 26.4 Mton, of olivine
sand with the same characteristics as that used here. (B) Model results
of the yearly CO2 uptake rate as a consequence of hypothetical
repeated (multiyear) olivine application as a substitute for yearly
coastal sand nourishments during periods of 1, 5, 10, and 25 years.
(A) Model results of both absolute and relative cumulative dissolution
over time (using dissolution rate constant values as obtained from
the experiments in this study) of a one-time hypothetical coastal
olivine application of 12 Mm3, or 26.4 Mton, of olivine
sand with the same characteristics as that used here. (B) Model results
of the yearly CO2 uptake rate as a consequence of hypothetical
repeated (multiyear) olivine application as a substitute for yearly
coastal sand nourishments during periods of 1, 5, 10, and 25 years.Making use of the earlier derived relationship, eq , with γCO = 0.84 and x = 0.06 as discussed above, the
amount of carbon dioxide taken up can be estimated. With annual 12
Mm3 applications, for periods of 1, 5, 10, and 25 years,
the CO2-capturing rate would increase from ca. 2.5 Mton
CO2 year–1 to a peak value of ca. 9 Mton
CO2 year–1 after 25 years of coastal
olivine application (Figure B). This would be the equivalent of 5% of The Netherlands’
yearly 170 Mton CO2 emissions (2013 value; http://data.worldbank.org/indicator/). Once the application stops, the remaining olivine will dissolve
in about 250 years, with decreasing yearly CO2 uptake rates
(Figure B). The long
time scale over which ESW is effective has two important implications.
First, the process of issuing and validating carbon credits for ESW
will need to take into account that CO2 sequestration is
not immediately realized at once but stretched out over a century-scale
time window. Second, given the long-lasting effects, any potential
ecosystem impacts need to be properly assessed and evaluated upfront
in small-scale field trials before large-scale ESW application can
start.
Environmental Implications
From an ecological perspective,
the potential secondary effects of (large-scale) olivine dissolution
are a critical issue. Although dilution processes in marine coastal
environments will likely prevent accumulation to toxic levels of dissolution
products, it is important (and obligatory in e.g. the European Union)
to perform upscaling calculations of dissolution product concentrations
and their conceivable effects on the marine ecosystem. The main consequences
of forsteritic olivine dissolution are increases in Mg2+, Si, TA, DIC, Fe2+, and Ni2+, and their ecosystem
effects should be thoroughly assessed. In addition, the geophysical
consequences of olivine distribution in coastal ecosystems should
be assessed, such as the increase in suspended particulate matter,
sediment pore space clogging and smothering effects due to the higher
specific density of olivine. While increases in alkalinity and DIC
are a desired effect for climate engineering purposes, the increase
in Mg2+ is not expected to pose a significant threat because
of the high background concentration in seawater. Increases in dissolved
Si and dissolved Fe can stimulate primary production and thus lead
to additional CO2 sequestration, as recently assessed by
model analysis[55]· However, the ultimate
impacts on coastal foodwebs of fertilizing by olivine dissolution
are uncertain and need further investigation.The impact of
increased nickel flux on marine ecosystems is a matter of potential
concern, and has only been scarcely touched upon. Nickel leaches from
the olivine mineral matrix in its ionic Ni(II) form. Dissolved nickel
occurs in trace concentrations in seawater (0.03–0.16 μmol
kg–1;[27]), as low as 0.002–0.006
μmol kg–1 in the central southern North Sea
and up to 0.04 μmol kg–1 in the Rhine delta
area.[28] In comparison, background nickel
concentrations in the control treatments ranged between 0.14 μmol
kg–1 in the FSW in experiment A3 and 0.45 μmol
kg–1 in experiment A1, while background Ni concentrations
in the artificial seawater media in experiment A3 (ASW, ASW-Ca, and
ASW-CaMg) were an order of magnitude lower, between 0.017 and 0.032
μmol kg–1.The ecotoxicology of nickel in marine organisms and ecosystems
is summarized on the Web site of the UK Marine Special Areas of Conservation
(http://www.ukmarinesac.org.uk/) and established for the UK at a chronic concentration of 0.25 μmol
L–1. Nickeltoxicity has been reported in a number
of cases:[56−58] negative effects on spawning in mysiid shrimps at
2.4 μmol L–1, DNA damage with associated physiological
and cytotoxic effects in the blue musselMytilus edulis at 0.3 μmol L–1, disrupting ionoregulatory
functions in the green crabCarcinus maenas between
8.5 and 51 μmol L–1 in very low-salinity seawater
(0.006 PSU), and organ oxidative stress in the killifish Fundulus
heteroclitus, also mainly in freshwater. However, one of
the conclusions of Blewett et al.[57] and
Blewett and Wood[58] is that higher, seawater-like
salinities (e.g., 30–38) seem to be negatively correlated with
Ni-induced effects. In general, higher salinities are inversely correlated
with Ni2+ seawater concentrations.[59] Although bioaccumulation of nickel in individual organisms occurs,
there seems to be little evidence of biomagnification throughout (marine)
foodwebs,[27] although Kumblad et al.[60] present results that suggest the contrary. The
potential toxicity of nickel, combined with rather large uncertainties
about the magnitude and direction of its response effects, make it
paramount to further investigate its ecotoxicological effects within
the framework of large-scale application of olivine in coastal environments.Containment is not an issue for ESW. Before any field-scale application,
there should be proper field trials in quasi-contained conditions,
such as mesocosm setups, which can be upscaled in, e.g., tidal harbor
basins. In the case that a mesoscale field trial (∼100 m2) would be undertaken, common dredging equipment would be
used to apply the olivine into the (coastal) environment. The same
equipment and expertise can be used to remove the olivine sand, should
any acute unforeseen situation develop.The CO2 sequestration induced by ESW is governed by
the acid–base thermodynamics of seawater, which are well-understood,[26,37,38] therefore rendering the containment
of CO2 in the ocean highly predictable. The central premise
of ESW is that it increases the ocean’s alkalinity, enabling
more CO2 to be dissolved into seawater at any given pCO2 compared to the situation in which no alkalinity is added
to the ocean. This CO2 will be stay dissolved in the ocean
(or contained) as long as no other process changes the alkalinity
of the ocean. In the ESW, the CO2 storage reservoir (the
ocean) is an open system, as CO2 can be freely exchanged
between atmosphere and ocean across the air–sea interface.
Because leakage cannot occur in an open system, storage of CO2 in the ocean is therefore leakage-proof. The evidence that
CO2 will be contained for long periods of time is given
by observations on the long-term (>1000 year) carbon cycle and the
impact of natural silicate weathering: the long-term fate of fossil
CO2 is to be absorbed in the ocean.[61]If ESW is applied to coastal systems in a geo-engineering framework,
it will be crucial to determine in situ olivine dissolution rates
to determine the efficiency of the method.[42] Once in the natural sediment, the olivine will be subject to very
different biogeochemical and geophysical conditions. Microbial mineralization
processes could greatly increase the CO2 concentration
in the sediment’s pore waters,[62] while benthic macrofauna process vast quantities of sediment for
their sustenance and mobility.[63,64] These processes are
likely to speed up the dissolution process within marine sediments.
Large-scale sediment transport and wave action are expected to cause
constant particle abrasion and faster mechanical weathering, in turn
facilitating faster chemical weathering. If ESW is ever to be applied
in a geo-engineering framework, it is of paramount importance to investigate
the effects of all of these natural processes on the dissolution of
olivine in coastal environments.
Authors: Hamdallah Béarat; Michael J McKelvy; Andrew V G Chizmeshya; Deirdre Gormley; Ryan Nunez; R W Carpenter; Kyle Squires; George H Wolf Journal: Environ Sci Technol Date: 2006-08-01 Impact factor: 9.028
Authors: Alexandra M F Rao; Sairah Y Malkin; Francesc Montserrat; Filip J R Meysman Journal: Estuar Coast Shelf Sci Date: 2014-07-05 Impact factor: 2.929
Authors: Hein F M ten Berge; Hugo G van der Meer; Johan W Steenhuizen; Paul W Goedhart; Pol Knops; Jan Verhagen Journal: PLoS One Date: 2012-08-09 Impact factor: 3.240
Authors: Jörg Schaller; Samuel Faucherre; Hanna Joss; Martin Obst; Mathias Goeckede; Britta Planer-Friedrich; Stefan Peiffer; Benjamin Gilfedder; Bo Elberling Journal: Sci Rep Date: 2019-01-24 Impact factor: 4.379