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Assessing the geochemical fingerprint of the 2010 Eyjafjallajökull tephra through instrumental neutron activation analysis: a trace element approach

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The first characterization by INAA of the tephra erupted during the most explosive phase of the 2010 Eyjafjallajökull (Iceland) eruption is here presented. To evaluate the homogeneity of the tephra and fragmentation processes not only bulk samples were considered, but also other grain size fractions and previously published data. Concentrations of 42 elements were determined. Specific attention was given to incompatible elements, which appeared to be the most significative in order to define a geochemical fingerprint of the event.
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Assessing the geochemical fingerprint of the 2010 Eyjafjallajo
¨kull
tephra through instrumental neutron activation analysis: a trace
element approach
Giovanni Baccolo
1,2,3
Massimiliano Clemenza
3,4
Barbara Delmonte
2
Niccolo
`Maffezzoli
3,4,5
Massimiliano Nastasi
3,4
Ezio Previtali
3,4
Valter Maggi
2,3
Received: 18 December 2014
ÓAkade
´miai Kiado
´, Budapest, Hungary 2015
Abstract The first characterization by INAA of the
tephra erupted during the most explosive phase of the 2010
Eyjafjallajo
¨kull (Iceland) eruption is here presented. To
evaluate the homogeneity of the tephra and fragmentation
processes not only bulk samples were considered, but also
other grain size fractions and previously published data.
Concentrations of 42 elements were determined. Specific
attention was given to incompatible elements, which ap-
peared to be the most significative in order to define a
geochemical fingerprint of the event.
Keywords Eyjafjallajo
¨kull Instrumental neutron
activation analysis Tephra Incompatible elements
Introduction
The 39 day long volcanic eruption of Eyjafjallajo
¨kull oc-
curred in 2010 (April 14th–May 22nd, Southern Iceland)
had a significative impact on European air traffic [1,2].
The ash plumes generated during the explosive phases of
the event caused a main disruption of air traffic and a
consequent economical damage [3]. The production of fine
tephra, enhanced by the interaction between a high vis-
cosity magma and the melted water released by the over-
lying glacier, was remarkable [4]. The wide dispersion of
the material across Europe and the North Atlantic was
triggered by the peculiar atmospheric patterns occurring in
that period [5,6]. The development, diffusion and depo-
sition of the tephra were observed and monitored at dif-
ferent sites, using ground-based, airborne and remote
sensing techniques [7,8]. The eruption attracted an ex-
tensive scientific interest, which resulted in volcanological
[911], atmospheric [2,6,8,12], aerodynamical [1315],
environmental [16,17] and geochemical studies [1820].
Here we present an accurate geochemical characteriza-
tion of the tephra produced during the 2010 Eyjafjallajo
¨kull
eruption based on its chemical composition and especially
on trace elements. The attention given to this event en-
couraged several studies to investigate the elemental
composition of the eruption products using different ana-
lytical techniques [13,18,19,21,22]. A comparison be-
tween these measurements and our data is important not
only to assess the homogeneity of the samples with respect
to collection sites and timings, but also to understand if
there are differences between the considered analytical
techniques.
Tephra composition will also be compared to some well
established geochemical references: middle ocean ridge
basalt (MORB, [2325]), oceanic island basalt (OIB, [25])
and upper continental crust (UCC, [26]). MORB and OIB
are indicative of the average composition of the oceanic
volcanism, occurring along the oceanic ridges (MORB) or
associated to hot mantle plumes (OIB) [27]. Specific at-
tention will be paid to some elemental groups which are
classically used in order to develop geochemical
&Giovanni Baccolo
giovanni.baccolo@mib.infn.it
1
Graduate School in Polar Sciences, University of Siena,
Via Laterina 8, 53100 Siena, Italy
2
Department of Environmental Sciences, University of
Milano-Bicocca, P.zza della Scienza 1, 20126 Milan, Italy
3
INFN, Section of Milano-Bicocca, P.zza della Scienza 3,
20126 Milan, Italy
4
Department of Physics, University of Milano-Bicocca,
P.zza della Scienza 3, 20126 Milan, Italy
5
Present Address: Centre for Ice and Climate, Juliane Maries
Vej 30, 2100 Copenhagen, Denmark
123
J Radioanal Nucl Chem
DOI 10.1007/s10967-015-4092-7
fingerprints and to understand the genetic processes in-
volved in the formation of such samples. They are: large
ion lithophile elements (LILE), high field strength elements
(HFSE) and rare earth elements (REE). These elements,
also known as incompatible elements, share high ionic radii
and charges. Resulting from these ionic properties the term
incompatible refers to the difficulty to enter the crystalline
reticules which are typically found in the earth mantle,
dominated by the presence of mafic iron minerals [28].
Thus when mantle rock melting occurs incompatible ele-
ments are easily fractionated, since they are removed from
the solid phase and are concentrated in the melt phase, i.e.
the magma [27].
Assessing an accurate geochemical characterization of
the Eyjafjallajo
¨kull tephra is not only important from a
merely geochemical and volcanological perspective, but
also for chronostratigraphic purposes. The wide dispersion
of the tephra over Europe and the accurate knowledge of
the ash properties and distribution make this event a can-
didate to define a new reference event for ice core se-
quences in Alpine and Greenlandic glaciers, where the ash
plume arrived, although its concentration in the snow-ice is
expected to be very low [7,29,30]. The identification and
source attribution of volcanic ash layers provide important
chronological constraints for refining ice dating and
establishing cross-correlations among climatic and pa-
leoclimatic sequences as ice cores [31]. Within this context
the 2010 Eyjafjallajo
¨kull eruption could offer an opportu-
nity to define a new temporal marker valid for the twenty
first century. Usually the most common tracer for volcanic
events used in ice core studies is represented by peaks in
sulphate concentration or visual recognition. The sulphate
approach is problematic in areas like the Alpine one, sur-
rounded by heavy industrialized regions which emit large
quantities of sulphates in the atmosphere [32]. Also visual
identification of tephra layers in ice cores is difficult when
particle concentration is reduced. The definition of a geo-
chemical fingerprint of the event will be useful to identify
the tephra layer using chemical methods and discriminating
it from common mineral dust deposition.
Materials and method
Samples
A sample of fine tephra produced during the first explosive
phase of the Eyjafjallajo
¨kull eruption (April 15th) was
collected a few kilometers away from the eruptive site. It
consists of incoherent material; no grains exceeding 1 mm
were present. After having been dried the sample was
stored in a closed vessel until it was analyzed. The original
material was divided into three parts using a sonic dry sifter
system (from Advantech Ó) which allows to separate dif-
ferent grain size fractions. Two grain size fractions were
extracted from the original ash sample (bulk). The first one
is represented by particles smaller than 63 lm, corre-
sponding to the size class which defines fine ash. The
second one is represented by particles smaller than 20 lm;
this size was selected because generally this is the fraction
transported at long range distances. Three aliquots (about
100 mg, dry mass) of each grain size class were prepared in
1 mL polyethylene vials for the successive analyses.
Neutron activation analysis
The elemental composition of the tephra was determined
by instrumental neutron activation analysis (INAA). Its
application to geological samples and specifically to tephra
bulk samples is well established [3336]. Samples were
irradiated at Laboratory of Applied Nuclear Energy
(LENA, Pavia, Italy), where a 250 kW Triga Mark II nu-
clear reactor is installed [37,38]. To maximize the number
of observable radionuclides three irradiations and four data
acquisitions were carried out (see Table 1). Gamma-ray
energy spectra were acquired using hyper-pure germanium
detectors, HPGe (at the Radioactivity Laboratory of Mi-
lano-Bicocca University): a coaxial p-type ORTEC HPGe
and a well-type ORTEC HPGe (GWL series). Six reference
materials (RM, NIST 1645, 2704, 2709 and 2710; USGS
BCR2 and AGV2) were irradiated with the samples for
calibration purposes. For a detailed description of the
procedure and of the detectors see [39]. Concentration
uncertainties were calculated taking into account the
uncertainties associated to the RM certified concentrations,
to balance weighing operations and to the statistical ana-
lysis of c-spectra, including dead time correction. For the
short irradiation also irradiation and cooling times were
considered; in the case of Mg and Al final uncertainty kept
into account also the occurrence of interference reactions
from fast neutrons. The uncertainty related to the temporal
fluctuations of the neutron flux during the short irradiation
was evaluated comparing the activation rates (counts
s
-1
lg
-1
) associated to the different RM, each one mea-
sured at a different time (Fig. 1).
Results and discussion
Concentrations and comparison with published data
The concentrations of 42 elements were determined, in-
cluding trace elements and all the major elements except
for Si (see Table 2). Concentrations span from 8.25 % m/m
for Fe, to 5 ppb for Au. For 23 elements the relative
uncertainty is lower than 10 %, for 16 elements (Mg, Al,
J Radioanal Nucl Chem
123
K, Ca, Ti, As, Mo, Sb, Ba, Eu, Dy, Ho Tm, Lu, Hf, Th) it
lies in the 10–20 % range and for three elements it exceeds
20 % (Br 30 %, W 37 %, Au 27 %). The uncertainties
fluctuations are explained by the different signal to back-
ground ratios. The signal is not only proportional to the
absolute abundance of the considered element within the
sample, it depends also on the isotopic abundance of the
activated nuclide, on its neutron capture cross section and
decay branching ratios and on detector efficiency for the
measured c-emission. For these reasons some trace ele-
ments (for example Sc, Co, Cs, see Table 2) show lower
relative uncertainties with respect to other major elements
(for example Ca, Ti, K, see Table 2).
Thanks to the attention paid to this event by the scien-
tific community it was possible to compare the composition
of the tephra obtained in our study by INAA to other ones
[13,18,19,21,22]. Different techniques were used in these
works: ICP-OES, ICP-MS, EDS and wet analysis. All the
data considered for the comparison refer to bulk samples,
with the exception of trace element concentrations from
[18] which are relative to single grain measurements.
Measurements are also comparable with respect to time,
since all refer to the tephra produced during the first ex-
plosive phase of Eyjafjallajo
¨kull eruption (15–19 April),
which was the most significative for fine tephra production
and dispersion in the atmosphere. The concentration of
some selected elements determined in the different studies
are reported in Fig. 2. For most of the elements (34) the
observed differences considering all the studies are below
20 %, relative to our values taken as 100 %. Elements
showing the highest differences are V (31 %), Cr (25 %),
Co (30 %), Ni (26 %) and Sb (110 %). In the case of Cr
and Co, the high deviations could be related to fragmen-
tation process involving these elements, also related to
Table 1 Main information about the irradiation of the samples and the acquisition of the c-spectra; neutron fluxes were taken from [38]
Irradiation Average
sample
mass
(mg)
Neutron flux
(n s
-1
cm
-2
)
Irradiation
time
Number of
acquisitions
Cooling
time
Acquisition
time (s)
Observed elements
Short
irradiation
30 (7.40 ±0.95) 910
12
60 s 1 200–400 s 300 Na, Mg, Al, Ca, Ti, V, Mn
Medium
irradiation
30 (2.40 ±0.24) 910
12
6 h 1 5 days 2500 Na, K, Ca, Sc, Cr, Fe, Co, As, Br, Rb,
Mo, Sb, Cs, Ba, La, Ce, Nd, Sm, Tb,
Ho, Yb, Lu, Hf, W, Au, Th, U
Long
irradiation
80 (2.40 ±0.24) 910
12
20 h 2 40–50 days 15,000 Sc, Cr, Fe, Co, Zn, Rb, Sr, Zr, Sb, Cs,
Ba, Ce, Gd, Eu, Tb, Tm, Yb, Hf, Ta,
Hg, Th
45–70 days 70,000 Ni, Rb, Sr, Zr, Cs, Nd, Gd, Dy, Tm,
Hg
Fig. 1 RM activation rates (counts s
-1
lg
-1
) of the radionuclides
observed within the short irradiation not affected by interferences.
Average value (solid line) and standard deviation (dotted lines) are
also reported. Each standard was measured at different times. The
considered c-energies are 1368.3 keV (Na), 3084.4 keV (Ca),
320.1 keV (Ti), 1434.1 (V), 1810.8 (Mn). 1corresponds to NIST
1645, 2to NIST 2704, 3to NIST 2709, 4and 5to NIST 2710, 6to
USGS AGV2, 7to USGS BCR2
J Radioanal Nucl Chem
123
grain size distribution and mineral crystallization in the
tephra particles (see ‘Geochemistry and grain size analy-
sis’ section). Sb, the element presenting the highest
variability among the different measurements, is a mod-
erately volatile and mobile element. It can be deposited on
the surface of ash during the cooling of the eruptive plume,
forming a soluble coating [40]. Its concentration in the bulk
material, together with the other volatile elements, could be
influenced by these processes, since the soluble salts pre-
sent in the coating can be easily removed. Unfortunately
other highly volatile elements (Cu, Br, Cd, Te, Hg, Tl, Pb,
Bi) were not measured by INAA or were not measured in
the other considered works, thus a further investigation on
this process is not possible. In the case of Br, Au and Hg
this is the first measurement in the Eyjafjallajo
¨kull tephra.
Despite the different techniques and the different sam-
pling sites, the comparison shows that for most of the
elements the composition of the tephra is very similar.
These data point to a quite homogenous geochemical
composition of the tephra produced during the 2010 Ey-
jafjallajo
¨kull eruption.
Geochemistry and grain size analysis
A first geochemical picture of the sample is given in Fig. 2,
where the composition of major, rare earth and incom-
patible elements is presented. All concentrations are nor-
malized to MORB; also OIB and UCC reference
compositions are reported. A main feature, recognizable in
each graph, is the relative enrichment in highly incom-
patible elements. Observing Fig. 2a, relative to major ele-
ments, the most enriched element is K, actually the most
incompatible element among major ones. The other major
elements are similar to MORB reference values. Also
Fig. 2b, c present similar evidence. Observing REE com-
position it is possible to note the high enrichment in light
REE with respect to heavy REE. This pattern can be ex-
plained considering incompatibility, since light REE have
higher ionic radii than heavy REE and are thus more in-
compatible [28]. In Fig. 2c a selection of LILE, HFSE and
REE is presented. The elements were ordered from Cs to
Yb, from the most incompatible to the less one, following
the order proposed in [25] for basaltic rocks. The higher
normalized concentrations are relative to highly incom-
patible elements on the left side of the graph, they decrease
progressively moving toward less incompatible elements
on the right. From La to Yb (with the exception of Sb) the
tephra presents higher concentration in incompatible ele-
ments also with respect to UCC, considered the principal
reservoir of incompatible elements in the earth system [26].
These evidences suggest that incompatibility is a major
driver in relation to trace element composition in the 2010
Eyjafjallajo
¨kull tephra. Their concentration is highly cor-
related to the incompatibility degree. The only elements
which are not in accordance to the order defined in [25] are
W, Sr and Sb. In the case of Sb the formation of volatile
Table 2 Elemental composition determined through INAA
Element Sample concentrations (ppm)
Bulk \63 lm\20 lm
Na* 3.8 ±0.2 3.90 ±0.15 3.5 ±0.2
Mg* 1.5 ±0.3 1.5 ±0.3 1.5 ±0.3
Al* 8.0 ±0.9 8.1 ±0.9 7.3 ±0.8
K* 1.6 ±0.2 1.5 ±0.2 1.5 ±0.2
Ca* 4.0 ±0.4 3.6 ±0.5 3.0 ±0.3
Sc 18 ±1 17.2 ±0.5 17.5 ±1.0
Ti* 1.0 ±0.1 1.0 ±0.1 1.0 ±0.1
V89±480±589±5
Cr 33 ±221±117±1
Mn* 0.19 ±0.02 0.19 ±0.02 0.17 ±0.02
Fe* 8.0 ±0.4 7.5 ±0.4 8.10 ±0.45
Co 17.8 ±0.7 15.6 ±0.9 18.1 ±0.8
Ni 70 ±457±260
±4
Zn 195 ±15 190 ±20 200 ±10
As 1.4 ±0.3 1.7 ±0.3 1.9 ±0.2
Br 6.3 ±0.5 7.6 ±0.5 7.1 ±0.4
Rb 48 ±250±250±2
Sr 400 ±20 350 ±30 395 ±15
Zr 500 ±30 500 ±20 515 ±20
Mo 4.7 ±0.8 5.4 ±0.9 4.6 ±0.9
Sb 0.38 ±0.04 0.30 ±0.03 0.35 ±0.04
Cs 0.61 ±0.06 0.75 ±0.08 0.73 ±0.04
Ba 500 ±100 480 ±90 510 ±70
La 53 ±355±255±2
Ce 125 ±6 124 ±4 130 ±6
Nd 65 ±569±267±3
Sm 13.5 ±1.5 14 ±114±1
Eu 5.3 ±0.5 5.1 ±0.6 5.0 ±0.6
Gd 12.2 ±0.6 13 ±1 11.3 ±0.8
Tb 2.5 ±0.2 2.3 ±0.2 2.5 ±0.3
Dy 11 ±2 11.0 ±0.8 12 ±1
Ho 1.8 ±0.2 2.0 ±0.4 2.0 ±0.4
Tm 1.6 ±0.2 1.5 ±0.2 1.7 ±0.2
Yb 6.9 ±0.5 6.9 ±0.4 6.7 ±0.6
Lu 1.1 ±0.1 1.2 ±0.2 1.1 ±0.1
Hf 12 ±212±212±2
Ta 4.0 ±0.2 3.8 ±0.2 4.0 ±0.2
W 1.2 ±0.6 1.4 ±0.5 1.5 ±0.4
Au 0.005 ±0.002 0.007 ±0.001 \0.0007
Hg 0.18 ±0.02 0.16 ±0.01 0.16 ±0.01
Th 7 ±16±1 7.5 ±1.0
U 1.8 ±0.1 1.9 ±0.1 1.81 ±0.09
Concentrations are expressed in ppm, except for major elements
(marked by an asterisk), whose concentrations are reported in %
J Radioanal Nucl Chem
123
and soluble compounds during the eruption could be a
possible explanation for the anomaly (see ‘Concentrations
and comparison with published data’’ section), but this is
not the case for W and Sr.
The elevated concentrations of incompatible elements,
well above MORB and OIB concentrations, are indicative
of the processes involved in the 2010 Eyjafjallajo
¨kull
eruption. It was observed that the geochemical features of
the eruption presented a complex evolution [2,18,19].
Observations based on the major elements composition of
the volcanic products showed that the eruption was prob-
ably triggered by a deep primitive basalt injection which
interacted with a second magmatic intrusion, remnant of
previous volcanic activity and with a different composition.
This in accordance with the trace element composition
presented in Fig. 1: the enrichment in incompatible ele-
ments points to the influence of an evolved magmatic
source whose composition is well distinct from a basaltic
one, like MORB.
Concerning grain size analysis, for most of the elements
no compositional differences can be observed comparing
the three grain-size classes, revealing a homogenous
composition of the material. The only elements showing
significative differences are Cr, Co, and Sr (Fig. 3). The
term ‘‘significative’’ is used here to indicate concentrations
relative to the three grain size classes showing differences
exceeding the uncertainties. The most evident fractionation
pattern is observable for Cr, which appears enriched in the
bulk sample. A progressive depletion of this element is
observable in the \63 lm fraction (-36 % with respect to
bulk) and in the\20 lm one (-48 % with respect to bulk).
This could be caused by a partial fractionation of Cr in
chromite which was observed in single tephra grains. In
[18] it is shown that chromite crystals formed in some
coarse ash grains (0.1–1.0 mm), thus leading to a relative
Fig. 2 Major (a), rare earth (b) and incompatible (c) element
composition of the tephra produced during the first explosive phase
of the 2010 Eyjafjallajo
¨kull eruption (15–19 April). Concentrations
determined within this work by INAA are reported with error bars,
but most of them are not visible since their extension doesn’t exceed
the marker size. The bulk composition determined by INAA was
compared to other bulk measurements carried out with other
techniques: [13] ICP-OES, [18] ICP-OES and ICP-MS, [19] EDS
and ICP-MS, [21] EDS and ICP-MS, [22] wet analysis for major
elements and ICP-MS. Also OIB and UCC are reported. All
concentrations are normalized to MORB. In (a) and (b) elements
are listed following atomic numbers, in the case of (c) they were listed
following the incompatibility order proposed in [25]
Fig. 3 The concentrations of the elements which show a significative
grain-size fractionation with the associated errors. ‘‘b’ stands for the
bulk sample, ‘63’ for the\63 lm fraction and ‘20’ for the\20 lm
fraction
J Radioanal Nucl Chem
123
enrichment of this element in the bulk fraction. For Co and
Sr a similar pattern is observed: a relatively depleted
\20 lm fraction (-12 % with respect to bulk for both of
them).
Defining a geochemical fingerprint
Considering the presented data we tried to define a geo-
chemical fingerprint of the tephra produced within this event.
Four element ratios were used to highlight the geochemical
composition of the material and to distinguish it from ordi-
nary mineral dust typically deposited on Alpine and Green-
land glaciers. The ratios are Cs/Ta and Eu/Sc (Fig. 4a), Eu/
La and Hf/Th (Fig. 4b). They were selected considering the
main differences observed between the 2010 Eyjafjallajo
¨kull
tephra, UCC and samples of dust collected in the source areas
for the Alps and Greenland, i.e. Saharan regions for the Alps
[41], cold deserts and loess deposits in North-Eastern Asia
for Greenland [42]. In Fig. 4also other tephra are repre-
sented; they were collected at different sites of Greece and
Turkey [35,36]. The comparison shows that the composition
of the Eyjafjallajo
¨kull tephra is well distinct from the other
dust and tephra samples in Fig. 4. Unfortunately it was not
possible to carry out a more detailed comparison because
trace element geochemical characterization of bulk tephra is
not well established. Most of the published works on this
topic regard major elements geochemistry and single grain
analysis. But the preliminary results presented within this
work suggest that the application of INAA to tephra bulk
samples could give an important effort in this context, also
considering a future application of INAA to ice core samples
[43], where concentration of dust reaches very low concen-
tration and the visual identification of the tephra layer is
difficult.
Conclusions
A chemical characterization of the tephra erupted during
the 2010 eruption of Eyjafjallajo
¨kull (Iceland, April 14th–
May 22nd) determined through INAA is presented. The
composition was compared to other data previously pub-
lished, revealing a good agreement for all the measure-
ments taken into account. This confirms the applicability of
different techniques to this kind of bulk samples, where
INAA proved to be the only one able to determine major
and trace elements at the same time, with the only excep-
tion of Si. Trace element composition points to the influ-
ence of an evolved magmatic source rich in incompatible
elements, well distinct from the primitive basaltic one
which is thought to have triggered the eruption. Comparing
our data with literature data and analyzing the composition
of different grain sizes it was possible to assess the com-
positional homogeneity of the tephra erupted during the
first explosive phase of the eruption. The only significative
exception is represented by Cr. According to the homo-
geneity of the tephra and to the wide dispersion of the
tephra across Europe and the North Atlantic area, this event
could be used as a reference layer in the Alpine and
Greenland glaciers, where the plume is known to have
arrived. Incompatible element analysis allowed to define a
geochemical fingerprint of the tephra erupted by Eyjafjal-
lajo
¨kull, based on four elemental ratios: Eu/Sc, Cs/Ta, Hf/
Th and Eu/La. Using these features it will be possible to
distinguish the tephra from the ordinary mineral dust nor-
mally deposited on the Alpine and Greenland glaciers.
Acknowledgments A sincere thanks to the staff of LENA labora-
tory of the Pavia University for their assistance during the irra-
diations. We would also thank Arny Sveinbjornsdottir and Gudrun
Larsen for their precious tephra samples and Biancamaria Narcisi for
her useful advice.
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... Volatile As compounds can be sorbed onto ash particles, which are rich in highly reactive glass and have the smallest grain size and hence the largest surface area for reactions between permeating fluids and particles (e.g. Brown and Andrews, 2015). Several examples of As detected in volcanic ashes belong to eruptions such as Eyjafjallajökull volcano in Iceland, and Copahue, Lonquimay, Chaitén, Llaima, Puyehue, Hudson, Calbuco, and Cordón Caulle Volcanic Complex in the Southern Andes (Ruggieri et al., 2011;Ruggieri et al., 2012;Daga et al., 2014;Baccolo et al., 2015). Bia et al. (2015) measured As in volcanic ashes from Southern Andes volcanoes and found that As is mainly enriched in the surface of the ash particles forming sulfide or oxide compounds. ...
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... laboratory of Milano-Bicocca university. Calculation of elemental concentrations was done in accordance to a relative method, as fully described here 67 . Twenty elements were quantified, details are presented in the SI. ...
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... Gamma spectroscopy measurements of the irradiated samples were carried out at LENA and at the Radioactivity Laboratory of the Milano-Bicocca University. In order to increase as much as possible the detection efficiency for the samples irradiated in the Lazy Susan Channel, a well-type High-purity Germanium detector HpGe (ORTEC, GWL series) designed for low-background measurements and material selection for rare event physics experiments was used, for a full description of the detectors and calculation see [22][23][24]. ...
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... INAA is characterized by a relatively low price for REE determination [1] due to the wide-spread accessibility of research reactors around the world. All these advantages promote the broad application of INAA to geological sample analysis for major and trace elements [14], noble metals [15], and REE [16][17][18][19][20][21][22] content. ...
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... Uncertainties were quantified considering the following sources: weighing operations, instrumental dead time, peak area fitting and calculation, blank subtraction, RMs element concentration uncertainties. In the case of the short irradiation timing uncertainties and temporal fluctuations of the neutron flux were also taken into account [51]. In the case of Mg and Al also a correction for epithermal neutron reactions was necessary, since the production of 27 Mg and 28 Al is interfered by the following reactions associated to non-thermal neutrons: 27 Al(n,p) 27 Mg, 28 Si(n,p) 28 Al. ...
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Reliable analyses of ‘microshards’ (defined here as glass shards <32 µm in diameter) using narrow beams are useful for fine-grained samples from distal or ultra-distal geographic locations, and for vesicular or microlite-rich glass shards or small melt inclusions. Caveats apply, however, in the microprobe analysis of very small microshards (<=~5 µm in diameter), where particle geometry becomes important, and of microlite-rich glass shards where the potential problem of secondary fluorescence across phase boundaries needs to be recognised. Trace element analyses of individual glass shards using laser ablation inductively coupled plasma-mass spectrometry (LA-ICP-MS), with crater diameters of 20 μm and 10 μm, are now effectively routine, giving detection limits well below 1 ppm. Smaller ablation craters (<10 μm) can be subject to significant element fractionation during analysis, but the systematic relationship of such fractionation with glass composition suggests that analyses for some elements at these resolutions may be quantifiable. In undertaking analyses, either by microprobe or LA-ICP-MS, reference material data acquired using the same procedure, and preferably from the same analytical session, should be presented alongside new analytical data. In part 2 of the review, we describe, critically assess, and recommend ways in which tephras or cryptotephras can be correlated (in conjunction with other information) using numerical or statistical analyses of compositional data. Statistical methods provide a less subjective means of dealing with analytical data pertaining to tephra components (usually glass or crystals/phenocrysts) than heuristic alternatives. They enable a better understanding of relationships among the data from multiple viewpoints to be developed and help quantify the degree of uncertainty in establishing correlations. In common with other scientific hypothesis testing, it is easier to infer using such analysis that two or more tephras are different rather than the same. Adding stratigraphic, chronological, spatial, or palaeoenvironmental data (i.e. multiple criteria) is usually necessary and allows for more robust correlations to be made. A two-stage approach is useful, the first focussed on differences in the mean composition of samples, or their range, which can be visualised graphically via scatterplot matrices or bivariate plots coupled with the use of statistical tools such as distance measures, similarity coefficients, hierarchical cluster analysis (informed by distance measures or similarity or cophenetic coefficients), and principal components analysis (PCA). Some statistical methods (cluster analysis, discriminant analysis) are referred to as ‘machine learning’ in the computing literature. The second stage examines sample variance and the degree of compositional similarity so that sample equivalence or otherwise can be established on a statistical basis. This stage may involve discriminant function analysis (DFA), support vector machines (SVMs), canonical variates analysis (CVA), and ANOVA or MANOVA (or its two-sample special case, the Hotelling two-sample T2 test). Randomization tests can be used where distributional assumptions such as multivariate normality underlying parametric tests are doubtful. Compositional data may be transformed and scaled before being subjected to multivariate statistical procedures including calculation of distance matrices, hierarchical cluster analysis, and PCA. Such transformations may make the assumption of multivariate normality more appropriate. A sequential procedure using Mahalanobis distance and the Hotelling two-sample T2 test is illustrated using glass major element data from trachytic to phonolitic Kenyan tephras. All these methods require a broad range of high-quality compositional data which can be used to compare ‘unknowns’ with reference (training) sets that are sufficiently complete to account for all possible correlatives, including tephras with heterogeneous glasses that contain multiple compositional groups. Currently, incomplete databases are tending to limit correlation efficacy. The development of an open, online global database to facilitate progress towards integrated, high-quality tephrostratigraphic frameworks for different regions is encouraged.
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During the eruption of the ice-covered Eyjafjallajökull volcano, a series of images from an airborne Synthetic Aperture Radar (SAR) were obtained by the Icelandic Coast Guard. Cloud obscured the summit from view during the first three days of the eruption, making the weather-independent SAR a valuable monitoring resource. Radar images revealed the development of ice cauldrons in a 200 m thick ice cover within the summit caldera, as well as the formation of cauldrons to the immediate south of the caldera. Additionally, radar images were used to document the subglacial and supraglacial passage of floodwater to the north and south of the eruption site. The eruption breached the ice surface about four hours after its onset at about 01:30 UTC on 14 April 2010. The first SAR images, obtained between 08:55 and 10:42 UTC, show signs of limited supraglacial drainage from the eruption site. Floodwater began to drain from the ice cap almost 5.5 h after the beginning of the eruption, implying storage of meltwater at the eruption site due to initially constricted subglacial drainage from the caldera. Heat transfer rates from magma to ice during early stages of cauldron formation were about 1 MW m−2 in the radial direction and about 4 MW m−2 vertically. Meltwater release was characterized by accumulation and drainage with most of the volcanic material in the ice cauldrons being drained in hyperconcentrated floods. After the third day of the eruption, meltwater generation at the eruption site diminished due to an insulating lag of tephra.
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The eruption of Eyjafjallajökull volcano in 2010 lasted 39 days, 14 April--23 May. The eruption had two explosive phases separated by a phase with lava formation and reduced explosive activity. During the explosive phases there were episodes of strong winds that advected ash to the south and southeast leading to widespread disruptions in air traffic. The height of the eruption plume was monitored with a weather radar and with web cameras mounted with a view of the volcano. Three different types of the impact of the ambient atmosphere on the eruption plume are described. First, the weather situation throughout the eruption has been analyzed. The frequency of northerly wind component is found to be unusually high, or 71% in comparison to 49% on average in spring. Secondly, during the effusive phase of the eruption diurnal variation was observed in the plume altitude and there is evidence that suggest that nocturnal inversions may have played a role, limiting the rise of the weak plume. Thirdly, images from a web camera were analyzed and the rise of individual cloud heads associated with explosions at the volcano vent mapped. The velocity profiles obtained largely agree with conceptual models of volcanic plumes.
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We synthesize field and experimental data to evaluate relationships between the textures and sizes of pyroclasts and the processes that shape them, with emphasis on the role of permeability. In (mafic) scoria, the important competition that determines preserved vesicularity is between gas escape and magma expansion by bubble growth; post-fragmentation expansion occurs rapidly until the permeability increases substantially. In (silicic) pumice, the competition is between gas escape and fragmentation by bubble overpressure; sufficiently permeable regions allow gas escape although high viscosity hinders further expansion. Thus the preserved vesicularity of both pumice and scoria is controlled by the permeability threshold, the vesicularity at which there is an abrupt increase in permeability over a small increase in vesicularity, which appears to be ˜70-80%. High permeability thresholds may also explain the high fine ash content of silicic Plinian eruptions. At the local scale, magma ruptures because of stresses in viscous melt around expanding isolated bubbles. Local control is illustrated by the correspondence between the size distributions of the ash and of bubbles in individual pumice clasts of the 1980 Mount St. Helens Plinian eruption: the medians and modes for grain and bubble sizes are of order tens of microns, and fractal dimensions are similar (3.1-3.2 for grains; 3.4 for bubbles). Fractal dimensions for total grain size distributions and bubble size distributions in pumice from other silicic eruptions are similar (3.0-3.2, 2.9-3.9, respectively) and larger than generated by crushing and grinding rocks. This suggests that fragmentation efficiency depends on the balance between rates of magma decompression (overpressurization) and gas escape, which explains relationships between ash content and eruption rate. In summary, the vesicularity distribution of pyroclasts places important constraints on the permeability threshold of expanding magma, whereas the whole deposit grain size distribution of pyroclastic deposits places critical limits on the permeability structure of the magma at the point of fragmentation.
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Volcanic particles can be transported over long distances in the atmosphere and can cause severe problems for air traffic. This was the case over large areas of Europe in spring 2010 after the eruption of the Eyjafjallajökull (E15) volcano on Iceland.The scope of this work was to characterize these volcanic particles more in detail with regard to size and chemical composition in order to provide valuable information needed for a better estimation of the possible impact on airplane jet engines and cockpit windows. Another question of this study was which share of the overall atmospheric particles in Germany originated from the E15 eruption and whether this amount of volcanic particles could cause any adverse health effects to humans. To this end, single particle analysis by means of scanning electron microscopy with energy dispersive X-ray analysis (SEM-EDX) and synchrotron radiation based micro X-ray fluorescence analysis (μS-XRF) together with multivariate statistical methods were applied for samples collected on ground-level in Southwest Germany and Iceland. Based on the obtained chemical fingerprints combined with multivariate statistical methods it was possible to discrimate between the amount of volcanic particles from Iceland and other atmospheric particles from non-volcanic sources. This aspect distinguishes this single particle approach from most other studies. The results of the study showed that at least 40% of the analyzed particles between 2.5 and 10 μm size at the remote sampling sites in the Black Forest area and about 25% in the city of Freiburg were clearly of volcanic origin from the E15 volcano eruption event.