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Gonzalez et al., Magma dynamics El Hierro eruption Page \1
Magma storage and migration associated with the 2011-2012 El 1
Hierro eruption: implications for crustal magmatic systems at 2
oceanic island volcanoes 3
4
Pablo J. González1,*
, Sergey V. Samsonov2, Susi Pepe
3, Kristy F. Tiampo
1, Pietro Tizzani
3, 5
Francesco Casu3, José Fernández
4, Antonio G. Camacho
4 and Eugenio Sansosti
3 6
7
1Department of Earth Sciences, Western University, Biological and Geological Sciences 8
Building, 1151 Richmond Street, London, ON, N6A5B7, Canada. 9
2Canada Centre for Remote Sensing, Natural Resources Canada, 588 Booth Street, Ottawa, ON 10
K1A0Y7, Canada. 11
3 Istituto per il Rilevamento Elettromagnetico dell’Ambiente, National Research Council (CNR) 12
of Italy, Via Diocleziano 328, Naples, Italy. 13
4Instituto de Geociencias (CSIC, UCM), Fac. Ciencias Matemáticas, Plaza de Ciencias, 3, 14
28040-Madrid, Spain. 15
* corresponding author 16
17
RUNNING TITLE: MAGMA DYNAMICS AT 2011-2012 EL HIERRO ERUPTION 18
Keywords: Magma migration, Volcano deformation, Radar interferometry, Time 19
inversion, Oceanic volcanic islands 20
Submitted: Journal of Geophysical Research 21
Gonzalez et al., Magma dynamics El Hierro eruption Page \2
ABSTRACT 22
Starting in July 2011, anomalous seismicity was observed at El Hierro Island, a young oceanic 23
island volcano. On the 12 October 2011 the process led to the beginning of a submarine NW-SE 24
fissural eruption at ~15 km from the initial earthquake loci, indicative of significant lateral 25
magma migration. Here, we conduct a multi-frequency, multi-sensor interferometric analysis of 26
spaceborne radar images acquired using three different satellite systems (RADARSAT-2, 27
ENVISAT and COSMO-SkyMed). The data fully captures both the pre-eruptive and co-eruptive 28
phases. Elastic modeling of the ground deformation is employed to constrain the dynamics 29
associated with the magmatic activity. This study represents the first geodetically-constrained 30
active magmatic plumbing system model for any of the Canary Islands volcanoes, and one of the 31
few examples of submarine volcanic activity to date. Geodetic results reveal two spatially 32
distinct shallow (crustal) magma reservoirs, a deeper central source (9.5 ± 4.0 km) and a 33
shallower magma reservoir at the flank of the southern rift (4.5 ± 2.0 km). The deeper source was 34
recharged, explaining the relatively long basaltic eruption, contributing to the observed island-35
wide uplift processes and validating proposed active magma underplating. The shallowest source 36
may be an incipient reservoir that facilitates fractional crystallization as observed at other Canary 37
Islands. Data from this eruption supports a relationship between the depth of the shallow crustal 38
magmatic systems and the long-term magma supply rate and oceanic lithospheric age. Such a 39
relationship implies that a factor controlling the existence/depth of shallow (crustal) magmatic 40
systems in oceanic island volcanoes is the lithosphere thermomechanical behavior. 41
42
43
44
Gonzalez et al., Magma dynamics El Hierro eruption Page \3
1. Introduction 45
A deeper understanding of the magma plumbing system is critical to our ability to forecast the 46
eruptive behavior of a volcano and to provide a wider framework to constrain dynamic volcanic 47
processes, such as magma storage, supply rate, and migration [Takada, 1989; Poland et al., 48
2012; Clague and Dixon, 2000, Fialko and Rubin, 1998]. Attempts to understand the structure 49
and dynamics of magma plumbing systems at basaltic intraplate oceanic island volcanoes rely 50
heavily on a handful of well-studied volcanoes, e.g., Kilauea and Piton de la Fournaise [Tilling 51
and Dvorak, 1993]. However, the lack of data at other volcanoes makes it difficult to extrapolate 52
a well-constrained magma plumbing systems and dynamics that may be used as prototypes for 53
all oceanic island volcanoes. In particular, less active volcanoes such as the Canary or Cape 54
Verde Islands might not be described accurately by plumbing systems inferred from highly 55
active volcanoes. 56
57
An image of the active magmatic plumbing system of a volcano can be obtained via the 58
interpretation of various geological, geophysical and geochemical data, including seismic, 59
experimental petrology, gas emissions chemistry and geodetic measurements [Dzurisin, 2006]. 60
To study the long-term evolution of magmatic systems, experimental petrology provides a very 61
valuable tool through the analysis of erupted materials [Marsh, 1996; Hansteen et al., 1998; 62
Longpré et al., 2008]. However, at active volcanic areas, geophysical observations are an 63
important complement, providing constraints on magma locations and volumes. Geodetic 64
imaging is useful to infer complex deformation processes controlled by crustal rheology. In 65
volcanic environments, the temperature and density contrasts affect the stress distribution which 66
controls the dynamic magmatic processes. Nonetheless, under certain assumptions (usually 67
Gonzalez et al., Magma dynamics El Hierro eruption Page \4
brittle/elastic deformation), it is possible to evaluate magma volume storage and migration 68
beneath a volcano [Dzurisin, 2006; Poland et al., 2012]. Therefore, the ground deformation 69
associated with an eruption allows us to constrain the magma plumbing systems, in particular at 70
basaltic intraplate oceanic island volcanoes with low eruption rates, and compare its structure 71
and dynamics against the prototypes. 72
73
Studies of the magma plumbing systems at basaltic intraplate ocean island volcanoes (e.g., 74
Reunion, Galápagos, Hawaiian, Canarian and Cape Verde Islands) have revealed fundamental 75
differences in their shallower (crustal) levels. It has been postulated that shallow (crustal) magma 76
chambers are not always present and differ in magmatic processes. At Hawaii, magma chambers 77
stagnate and distribute magma along elongated rift zones [Tilling and Dvorak, 1993]. However, 78
at Tenerife and Gran Canaria Islands, crustal magma chambers develop as long-lived features 79
that can fractionate parental basanitic composition melts into end-member (highly explosive) 80
phonolitic magmas [Ablay and Martí, 2000]. Nevertheless, multiple processes such as flank 81
instability also can play a role in the absence/presence of magma reservoirs by occasionally 82
disrupting the volcanic plumbing system [e.g. Amelung and Day, 2002; Ruch et al., 2012]. 83
Therefore, a deeper understanding of the crustal portion of the plumbing systems of oceanic 84
island volcanoes is essential for improving volcanic risk analysis. 85
86
A submarine eruption off El Hierro Island started in October 2011 and ended in early March 87
2012 [López et al., 2012]. The 2011-2012 El Hierro eruption represents the first eruptive episode 88
in 40 years, and the first systematically well-monitored eruption in the Canary Islands. 89
Consequently, the analysis of data acquired during the 2011-2012 El Hierro eruption is a unique 90
Gonzalez et al., Magma dynamics El Hierro eruption Page \5
opportunity to image, for the first time, the active magmatic system of one of the Canary Islands. 91
In addition, it provides the first opportunity to study the volcanic phenomena associated with an 92
on-shore to off-shore migration of magma that culminated in to an eruption. This study also 93
contributes to our knowledge of the magmatic systems of oceanic island volcanoes. 94
95
96
2. El Hierro Island and the 2011-2012 eruption 97
El Hierro Island is small basaltic oceanic island volcano with a subaerial edifice ~20 km in 98
diameter and steep relief, with maximum altitudes of 1500 m (Pico de Malpaso) above the 99
surrounding seafloor and bathymetry of approximately 3600-3800 m. Located in the Canary 100
Islands volcanic archipelago, off the African continent (Figure 1), El Hierro is the south-101
westernmost and the youngest island, at 1.1 Ma old [Carracedo et al., 2001]. Geologically, El 102
Hierro is composed of three overlapping units (Tiñor, El Golfo, and rift volcanism) which have 103
suffered four flank collapses [Masson et al., 2002; Muenn et al., 2006]. The oldest formation is 104
the Tiñor shield volcano, with activity spanning 1.2 – 0.88 Ma. It has been inferred that this 105
volcano collapsed northwards. Later, another shield volcano, El Golfo, completely covered the 106
Tiñor collapse [Carracedo et al., 2001]. Eventually, El Golfo volcano again collapsed towards 107
the north, forming the El Golfo flank collapse (87-39 ka), a prominent embayment in the north 108
(Figure 1) [Longpré et al., 2011]. Over the last 158 ka, volcanism has been presented as effusive 109
along three major rift zones (northeastern, west-northwestern, and southern), with the 110
development of strombolian cinder cones and associated lava flows (Figure 1). At El Hierro, 111
Holocene volcanism is limited to a few dated eruptions; Tanganasoga volcano, a composite 112
volcano that erupted crystal-rich ankaramite lavas, and the Montaña Chamuscada volcano, 4000 113
Gonzalez et al., Magma dynamics El Hierro eruption Page \6
and 2500 years before present, respectively [Guillou et al., 1996; Manconi et al., 2009]. For the 114
last 500 years, which corresponds with the historical record, no volcanic eruptions have been 115
confirmed. In 1793, a felt seismic crisis was dubiously associated with the eruption of the Lomo 116
Negro volcano, northwest of the Island [Carracedo et al., 2001; Romero and Guillén, 2012]. 117
Over the past decade, seismicity has remained low, with an average seismicity rate of <10 118
earthquakes/year. In 2004, a minor increase in seismic activity was correlated with a 119
simultaneous increment in CO2 soil diffuse efflux [Padrón et al., 2008]. 120
121
On 17 July 2011, the two permanent seismic stations of the Spanish Geographical Survey, IGN 122
[www.ign.es] detected unusual activity (Figure 2). From 17 July 2011 to early September small 123
magnitude seismicity, mbLg<3 (Figure 3a and 3b), occurred in small clusters at a depth range 124
from 9 to 15 km and varying slightly in position beneath the Tanganasoga volcano area (see 125
Figures 1, 2 and 3a-c). At the initial stage in late July, seismicity migrated generally towards the 126
west (Figure 3a). This trend shifted slightly towards the northwest in early-to-mid August 127
(Figure 3b). By mid-August, activity returned to the initial area (dark circles in Figure 3b), and 128
remained stationary for next the 15 days or so. Only one publicly-available GPS station (FRON) 129
was operating prior to the onset of the seismic swarm, located in an area northeast of the located 130
epicenters in El Golfo collapse valley (Figure 1). By the end of August, the GPS precise 131
positioning indicated a cumulative uplift of ~4 cm and ~2 cm motion towards the northeast. In 132
mid-September 2011, the seismicity began to migrate clearly southwards. Simultaneously, the 133
magnitude of events increased and earthquakes began to be strongly felt by the population, mbLg 134
~ 3-4 (Figure 3c). In late September to early October, the seismicity clearly stopped its 135
Gonzalez et al., Magma dynamics El Hierro eruption Page \7
southwards migration and spread around a wide area, ~5 km in diameter, beneath the Mar de las 136
Calmas (Figure 1, 3c and 3d). 137
138
An energetic seismic swarm began late on 5 October 2011, peaking at a maximum mbLg=4.4 139
(Mw=4.0) on 8 October 2011 at 20:35 UTC, with a moment tensor and centroid at 6 km depth 140
[www.ign.es accessed 27 March 2012]. It was followed by a relatively quiet period of ~32 hours, 141
during which a few tens of low magnitude shallow events were located at depths of one to six 142
km. This period ended with the emergence of a growing amplitude tremor signal (10 October 143
2012, ~4:15 UTC). The tremor amplitude increased for ~24 hr, including clipping of some 144
seismometers [www.ign.es]. The tremor signal abruptly ceased after a peak in high frequency at 145
14:30 UTC on 12 October 2011, followed by several high frequency peaks during the next ~24 146
hr. On 15 October 2011 the first floating material began to appear off the coast near La Restinga 147
town (Figure 1). The material varied from a mixture of mafic and white pumice to large basanite 148
floating balloons [Troll et al., 2012; Carracedo et al., 2012]. Between 9 and 26 October 2011, 149
the submarine eruption continued to be associated with very minor seismicity (a few 150
earthquakes/day) and the magnitudes remained low, mbLg<3 (Figure 2c, and 3d). Subsequently, 151
very deep seismicity (20-30 km) appeared along the northern coast (El Golfo), accompanied by 152
visible changes at the eruption site such as volcanic bombs and bubbling associated with 153
vigorous degassing (Figure 3d and 2e). For the next three months, eruptive seismicity was sparse 154
and without clear patterns in either space or time (Figure 3f). While visible sea surface 155
discoloration disappeared in late December, by early January basaltic floating bombs re-appeared 156
and continued throughout February in a discontinuous fashion. In early March, the absence of 157
visible effects on the sea surface and the lower levels of seismicity triggered official declaration 158
Gonzalez et al., Magma dynamics El Hierro eruption Page \8
of the end of the eruption on 5 March 2012 159
[www.gobiernodecanarias.org/dgse/noticias_sismo_hierro.html]. A more complete 160
comprehensive qualitative description of the chronology of the crisis can be found in Carracedo 161
et al., [2012] and López et al., [2012]. 162
163
Prior to July 2011, the geodetic monitoring of El Hierro Island was composed of two GPS 164
stations managed by different institutions. GRAFCAN (Cartográfica de Canarias) managed one 165
located in El Golfo valley with open data access (Frontera, FRON station) that was installed in 166
2010 for surveying purposes. A second station was installed in 2004 by ITER-INVOLCAN 167
(Instituto Tecnológico y Energías Renovables-Instituto Volcanológico de Canarias) in 168
cooperation with Nagoya University [González et al., 2006]. During August 2011, this minimal 169
network was augmented with five well-distributed GPS stations by INVOLCAN [Sagiya et al., 170
2012]. Meanwhile the Spanish IGN installed four GPS stations along a single transect in El 171
Golfo area [López et al., 2012]. Although this GPS profile distribution provided some 172
information with which to constrain depth and source geometry, it is not optimized to track the 173
location (and migration) of deformation sources due to its small aperture and the narrow back-174
azimuths of the displacement GPS vectors. The addition of five continuous GPS and three survey 175
GPS benchmarks in late September 2011 provided improved coverage of the entire island. In 176
addition to the GPS networks, tiltmeter and microgravity networks were installed to monitor 177
ground deformation and gravity changes [Arnoso et al., 2012]. Here, we complement the ground-178
based geodetic network with comprehensive processing, analysis and modeling of multiple 179
space-based radar interferometric data sets (RADARSAT-2, ASAR-ENVISAT and COSMO-180
SkyMed) in order to understand the dynamics of the magmatic system. 181
Gonzalez et al., Magma dynamics El Hierro eruption Page \9
182
183
3. Data analysis: InSAR observations 184
Interferometric Synthetic Aperture Radar (InSAR) is a geodetic technique that measures surface 185
ground deformation between two different satellite passes over wide areas [e.g., Dzurisin, 2006; 186
Sansosti et al., 2010]. InSAR measurements are sensitive to a projection of the full 3D 187
displacement vector onto the satellite line-of-sight (LOS). Ideally, it is desirable to image the 188
area of interest with more than one satellite track (ascending and descending passes, with 189
variable incidence angles) in order to measure more than one projection of the full displacement 190
vector and, therefore, to better constrain models representing geophysical processes. 191
192
We used 32 SAR images from six different satellite tracks to image the ground deformation at El 193
Hierro Island. SAR images were acquired between December 2009 and March 2012 (Table S1). 194
Images were acquired from two ascending tracks of the Canadian Space Agency (CSA) 195
RADARSAT-2 satellite, beams S6 (look angle, 44º) and S7 (47º); and two descending tracks of 196
the European Space Agency (ESA) ENVISAT satellite, tracks 109 in I6 mode (36º) and 339 in I2 197
mode (20º). RADARSAT-2 and ENVISAT satellites are equipped with right-looking C-band 198
SAR antennas operating at wavelength of ~5.6 cm. In addition, images were acquired from 199
ascending and descending tracks of the Italian Space Agency (ASI) COSMO-SkyMed satellite, 200
both corresponding to the beam H4-8 (34º). The latter system is an advanced X-band SAR 201
constellation with 4 satellites operating at a wavelength of ~3.1 cm. 202
203
Gonzalez et al., Magma dynamics El Hierro eruption Page \10
Interferograms were processed in two-pass differential mode, using a 30-m-resolution digital 204
elevation model (DEM) derived from the SRTM Topography mission, and a 5-m-resolution 205
DEM from IGN to remove topographic effects from C-band and X-band SAR data, respectively. 206
ENVISAT-ASAR data were processed using Doris software [Kampes et al., 2003], 207
RADARSAT-2 data were processed using GAMMA software [Wegmuller and Werner, 1997], 208
COSMO-SkyMed data were processed at CNR-IREA using their internally developed 209
interferometric SAR processing chain [Berardino et al., 2002]. Overall, we obtained 63 short 210
baseline differential interferograms (Table S2). Computed interferograms have temporal 211
separations ranging from three days to approximately two years. 212
213
El Hierro Island presented some challenges for InSAR analysis, including steep slopes, densely 214
vegetated areas and significant topographic elevation changes. The latter introduces strong 215
topography dependent phase variations due to temporal changes in atmospheric temperature 216
and/or pressure profiles (Figure S1), as observed in other islands of the Canary Islands 217
archipelago [e.g., González et al., 2010]. To compensate for this effect, we applied a commonly 218
used strategy based on an empirical polynomial relationship between atmospheric phase noise 219
and topography. We noted that a simple linear model is insufficient to remove most of the 220
atmospheric signal, a result that is in agreement with the non-linear relationships necessary to 221
model stratified troposphere signals [Doin et al., 2009]. Accordingly, we iteratively increased the 222
polynomial degree of the model up to 4. We selected an area assumed to be less affected by 223
deformation, in the northeastern portion of the island, to fit the data. To accept the optimal 224
model, at each iteration we computed an F-statistic ratio to test the significance of the decrease in 225
misfit, 2, between the two successive models [Stein and Gordon, 1984]. Another significant 226
Gonzalez et al., Magma dynamics El Hierro eruption Page \11
disturbance is related to the imperfect knowledge of the satellite tracks. In this case, first order 227
artifacts can be compensated for by removing a linear or a quadratic ramp in both azimuth and 228
range image directions [Pepe et al., 2011]. Therefore, before interpretation, each interferogram 229
was corrected for orbital effects and atmospheric artifacts. This operation is critical because these 230
disturbances can bias the geophysical interpretation if attributed to deformation signal. Examples 231
of the original, modeled and residual interferograms are shown in Figure S1. 232
233
After the correction, most of interferograms did not show large signals for most of the analyzed 234
period (e.g., see the RADARSAT-2 interferogram in Figure 4a). However, clear and intense 235
deformation is detected in all interferograms spanning May 2011 to November 2011. Figure 4b-e 236
illustrates some of the interferograms with clear deformation patterns. Between 5 May 2011 and 237
8 August 2011 deformation observed with a RADARSAT-2 ascending track indicates a circular 238
pattern of deformation in the center of the island, with a maximum of ~10 cm of motion towards 239
the satellite, south of Tanganasoga volcano (Figure 4b). In a subsequent period, Figure 4c 240
displays the deformation (maximum ~10 cm towards the satellite) from a descending ENVISAT 241
interferogram spanning the entire month of September and a few weeks after the eruption started 242
(31 August 2011-30 October 2011). The intense deformation pattern is indicative of an 243
expansion source located offshore at Mar de Las Calmas. A slightly noisy descending CSK 244
interferogram spanning 12 days before the beginning of the eruption shows that most of the 245
observed deformation in Figure 4c occurred during September (Figure 4d). In Figure 4e, an 246
independent ascending interferogram (RADARSAT-2 S7) confirms the two areas of 247
deformation, a wide deformation centered in the island and a more intense and shorter 248
wavelength deformation located at northwest of the Mar de las Calmas. Finally, slight inflation 249
Gonzalez et al., Magma dynamics El Hierro eruption Page \12
(motion towards the satellite) can be distinguished in a few interferograms spanning the 250
November 2011 period (e.g., the ENVISAT interferogram in Figure 4f). 251
252
253
4. Modeling: magma plumbing system and its temporal evolution 254
To analyze the large wealth of computed interferograms, we propose a two-step approach with 255
the aim of retrieving the temporal evolution of the ground deformation that is consistent between 256
the different look angles and satellite sensors. First, we determine the active sources during the 257
two seismically distinctive stages (pseudo-stationary in July-August and southeast migration in 258
September and early October). We use those interferograms spanning the shortest time in order 259
to constrain the best-fitting static displacements using simple elastic dislocation models. We 260
perform a non-linear inversion of the interferograms spanning the period May 2011 to October 261
2011. Once the static model is determined, a quasi-dynamic time-dependent model using a 262
Green’s function linear inversion scheme was employed to infer the variation of the source 263
volume at each interferogram, which subsequently were used to solve for the sources evolution. 264
265
4.1. Static model: Parameter estimation 266
We searched for the optimal model parameters of a few elastic models with simple geometries: 267
spherical point source [Mogi, 1958], horizontal circular crack [Sun, 1969], ellipsoid source [Yang 268
et al., 1988], and rectangular crack [Okada, 1985]. We included the effect of the topography by 269
using the approximate method of Williams and Wadge, [1998]. We adopted a non-linear global 270
inversion technique, bounded simulated annealing, to calculate the best-fitting model that finds 271
the minima of the misfit function in a least squares sense [González et al., 2010]. All the 272
Gonzalez et al., Magma dynamics El Hierro eruption Page \13
interferograms were downsampled using a quadtree scheme [Jonsson et al., 2002] to reduce the 273
computational burden while preserving the observed deformation patterns. To avoid solutions 274
trapped in local minima, we restarted the non-linear inversion 250 times with a homogeneously 275
distributed random set of initial model parameters, with the same bounding limits as the model 276
parameters. We improved the method presented in Gonzalez et al. [2010] by introducing realistic 277
noise at each iteration [Wright et al., 2003]. We simulated the random noise using an exponential 278
and cosine theoretical covariance function, 279
C (r) = 2
[ exp (-a r)
cos (b r) ], (1) 280
where r is the distance between data points, 2 is the noise variance (we assume
2=4 cm
2) and, a 281
and b are coefficients which control the correlation lag (here a=b=0.05). Due to the small area of 282
the studied region, we could not estimate correlation parameters for the interferograms which 283
show deformation. Therefore, we assumed values that produce spatially correlated signals 284
similar to the observed interferograms before the onset of seismicity. Finally, we determined the 285
best-fitting model parameters as the mean of the 250 best-fitting set of modelled parameters and 286
the associated errors as their standard deviations. 287
288
In accordance with the seismicity evolution (Figure 2 and 3), we selected two interferograms 289
spanning short times over the intense periods of seismicity and deformation. The selection of the 290
specific interferograms was based on the possible sensitivity to different and independent sources 291
corresponding to the observed different seismicity and deformation patterns (Fig. 3 and 4). In 292
particular, we chose one associated with the pseudo-stationary period during July and August 293
(Figure 5a, covering the period 4 May 2011 to 8 August 2011), and another from the period 294
during which seismicity migrated south-to-southeastwards (Figure 5d, for the period 31 August 295
Gonzalez et al., Magma dynamics El Hierro eruption Page \14
2011 to 30 October 2011). Solutions using the rectangular crack and ellipsoidal models were 296
poorly constrained displaying a very large dispersion of the set (250) of optimal best-fitting 297
parameters. We discarded those models because the model parameters had large uncertainties, on 298
the same order of magnitude as the prescribed search bounding limits, and a clear indication of 299
poor resolution. A circular horizontal crack and the spherical (Mogi) models provide essentially 300
the same results (Figure S2). However, in the case of the circular crack the source was generally 301
slightly deeper than the spherical source (Table 1). Although the location is well-determined, the 302
volume change was poorly resolved. Therefore, we preferred the spherical source results (Table 303
1) because it is the simplest model that explains the signal up to the noise levels. 304
305
In Figure 5, we show observed (5a and 5d), modeled (5b and 5e) and residual (5c and 5f) LOS 306
displacement for the best-fitting spherical sources for the two interferograms spanning the 307
selected periods. It is noteworthy that even with a very simple model, the spherical source, the 308
data fit is acceptable for the ascending 4 May 2011-8 August 2011 interferogram (Figure 5c), 309
despite some small residuals near the coastlines. In addition, we confirm the spherical best-fitting 310
parameter results for the first period by repeating the inversion process using a stack of four 311
observed RADARSAT-2 ascending differential interferograms with the 8 August 2011 as the 312
common slave image (Table 1; and Figure S2). For the August-early October period, a spherical 313
model is also a good approximation, as indicated by the fit to the descending 31 August 2011-30 314
October 2011 interferogram. However, small magnitude residuals along the Mar de las Calmas 315
coastline (Figure 5f) may reflect a slightly asymmetric causative source, with an axis along the 316
south rift direction (NNW-SSE). Considering these results, we subsequently assume the 317
existence of two spherical magma reservoirs consistent with elastic model point sources which 318
Gonzalez et al., Magma dynamics El Hierro eruption Page \15
change in volume over time. The results constrain a static image of the magmatic system 319
composed of two spherical point sources: a deeper reservoir at ~9.5 km and a shallower at ~4.5 320
km depth (Figure 5g). 321
322
4.2. Tracking transient source volume changes 323
4.2.1. Volume changes over temporal intervals 324
Once a magmatic system of two spherical point sources was fixed, we performed a linear 325
inversion of all 63 available interferograms in order to estimate for volume changes of the 326
sources over the corresponding time interval. Ascending and descending interferograms from 327
COSMO-SkyMed data acquired on the same day (Table S1 and S2 in Supplementary Material) 328
were jointly inverted. For each interferogram we independently solved a forward problem of the 329
type: d = G m, where d is the data vector (InSAR LOS observations), m is the model parameters 330
vector (volume changes), and G is the Green’s function matrix (source impulse response 331
projected into the satellite LOS). The problem is solved using a bounded least squares method. 332
We allowed for a variation of the estimated volume change between 0.10 and -0.05 km3, which 333
are reasonable bounds considering the results of the non-linear inversion presented in the 334
previous section. As a result, we resolved for the source volume changes on both sources. 335
4.2.2. Source volume changes: temporal inversion 336
The problem of retrieving time series of the source volume changes from non-simultaneous and 337
temporally overlapped multi-sensor observations is an ill-posed problem. This problem can be 338
solved using regularization methods, e.g., first-order Tikhonov regularization [Grandin et al., 339
2010]. We consider a system of n increments of source volume changes (qij) between two 340
epochs ti and tj, where ti < tj, based on the linear inversion estimation of the corresponding 341
Gonzalez et al., Magma dynamics El Hierro eruption Page \16
interferograms. We want to solve for the temporal evolution of volume change for each observed 342
epoch t [t0,..., tm], where m is the number of SAR acquisitions. In matrix notation, the problem 343
can be formalized as the inversion of the linear system q= A Q, where A is the differential 344
operator (i.e., the incidence matrix, with -1 and 1 for master and slaves dates respectively), q is 345
the known vector of increments of volume change (1 x n), and Q is the unknown vector of 346
temporal volume change (1 x m). A trivial solution to this problem, even in the least square sense 347
(generalized inverse), is not possible because the interferograms are formed by data from 348
different tracks and satellites and, therefore, not all acquisitions can be connected to each other. 349
As a result, the linear system is formed by independent linear subsystems, making the problem 350
underdetermined. 351
352
One way to solve this problem is to search for the least squares solution imposing an additional 353
minimum-norm condition (minimum volume); this can be accomplished through the use of the 354
Singular Value Decomposition (SVD) method. However, direct application of this strategy 355
provides unrealistic results with large discontinuities in the time series. 356
357
Similar to the approach of the Small BAseline Subset (SBAS) technique, which is designed to 358
recover the time series of displacements from a subset of disconnected interferograms 359
[Berardino et al., 2002], we reformulate the problem by minimizing the rate of the source 360
volume changes, instead of the volume variation itself. This avoids the presence of large 361
discontinuities in the final solution, which is retrieved after a final integration step, because the 362
minimum norm constraint implies minimizing the overall rate of volume change rates instead of 363
the volume change itself, which is a more physically sound constraint. Furthermore, to prevent 364
Gonzalez et al., Magma dynamics El Hierro eruption Page \17
possible oscillation in the solution, we consider a Truncated Singular Value Decomposition 365
(TSVD) approach [Aster et al., 2005]. 366
367
According to the outlined strategy, we transformed the differential increments of volume change 368
into rates considering the time spanned by each interferogram, q = q / tij. We solved for the 369
vector of rates of volume change between each available epoch, Q, a vector 1 x (m-1), where the 370
underline denotes rates. The new system of equations is organized as follows, 371
q = B * Q, (2) 372
where B is a matrix n x (m-1) with elements corresponding to the spanned time (tk), for each 373
epoch between master and slave images (k ∈ i ≤ m < j), and zeros elsewhere. 374
375
To solve this problem, we decompose B using the SVD methods [Aster et al., 2005], 376
B = USVT, (3) 377
where U is an orthogonal matrix with columns that are the basis vectors of the data space, n x n, 378
V is an orthogonal matrix with columns that are the basis vectors spanning the model space, (m-379
1) x (m-1), and S is a diagonal matrix of the singular values (n x m-1). A solution for this 380
problem can be obtained as follows, 381
Q = VS-1
UT q . (4) 382
383
If rank(B) < m, the solution obtained using the SVD technique may contain numerical 384
instabilities when small singular values exist. In this case, a more stable solution can be obtained 385
using the TSVD method, which rejects model space basis vectors associated with small singular 386
values, up to a certain threshold p. Then an optimal solution can be obtained as follows, 387
Gonzalez et al., Magma dynamics El Hierro eruption Page \18
Qp
i = Σp
i(U1xiT q / si ) V1xi , (5) 388
where i = 1,…, p, the solution using the p largest singular values (s). 389
390
Finally, the vector of rates of volume change must be integrated in time to obtain the time series 391
of volume change, Q(t), 392
Q(t) = Σ tk * qk , (6) 393
where tk is the time elapsed between each temporally contiguous SAR acquisitions. This 394
approach is able to handle the associated problem's rank deficiency, and effectively reduce 395
unstable results due to data noise as well. 396
397
In Figure 6 we show temporal evolution of the volume change for the considered sources (two 398
spherical sources), obtained as described above, for the pre-eruptive and eruptive periods (the 399
solution for the entire period, December 2009 – March 2012 is shown in Figure S4 of the 400
Supplementary Material). The inversion result subsequently was used to compute synthetic 401
interferograms via forward modeling based on the retrieved source parameters as shown in 402
Figure 7. We compare a set of the original observed interferograms with those simulated on the 403
basis of the time evolution of source changes (Figure 6). Those areas with significant residuals 404
may reflect atmospheric noise in the corresponding interferograms, activity on other structures 405
(e.g., shallow faults), a possible unaccounted eruptive conduit (e.g., see Figure 7c or 7d) or 406
departures from the assumed source geometries that were not included in our simplified model. 407
408
409
5. Discussion 410
Gonzalez et al., Magma dynamics El Hierro eruption Page \19
5.1. Active shallow magmatic system during the 2011-2012 El Hierro eruption 411
A simple model (Figure 5g) with two active sources accounts for the vigorous motions towards 412
the satellite (uplift) observed before the onset of the submarine eruption (Figure 4). Two major 413
difficulties arise from the use of such a simple elastic model: the elasticity assumption that is 414
used to interpret all the observed ground deformation InSAR data, and the limited extension of 415
the imaged area. Due to uncertainties in the rheological structure beneath El Hierro Island, we 416
limit our discussion to crustal depths, where the rocks elastic behavior is commonly assumed. In 417
the case of the Canary Islands, Moho depths have been estimated to be approximately 10-18 km 418
[Banda et al., 1981; Ranero et al., 1995, Lodge et al., 2012]. The latter limitation reduces the 419
resolvability to sources as a function of depth. In particular, sources deeper than the Island’s 420
width will be difficult to detect because InSAR results are sensitive only to horizontal gradients 421
of the projected LOS motion, which are stronger for shallow sources than deeper sources. 422
423
InSAR results confirm that there was no slow precursory deformation signal before May 2011. 424
Therefore, most, if not all, of the deformation should have started with the initial onset of the 425
seismicity on 17 July. Between 4 May and 8 August 2011 a batch of magma with an estimated 426
volume of 0.028 ± 0.003 km3 intruded at the base of the oceanic crust (crustal-mantle reservoir, 427
CMR), at a depth of 9.5 ± 4 km. This is a depth consistent with the upper bounds of the 428
hypocentral depths (8-15 km) of the reported seismicity for this period. This depth is also 429
consistent with an intrusion stalled at the base of the oceanic crust, and likely not below it. The 430
oceanic crust-mantle (moho) boundary at the Canary Islands indicates a gentle deepening 431
towards the western Islands [Banda et al., 1981]. In particular, around El Hierro, it has been 432
estimated at about 12-15 km using gravity and seismic reflection data [Figure 7, in Ranero et al., 433
Gonzalez et al., Magma dynamics El Hierro eruption Page \20
1995]. This batch of magma was located south of the main seismic locus (Figure 5g), and 434
directly beneath the central part of the Island, not to the north [López et al., 2012; Martí et al., 435
2013]. This southern location is consistent with a nearly ~N45E azimuth GPS velocity vector of 436
the public FRON GPS station. GPS data are inconsistent with a more northern location, as 437
suggested by the located seismicity (Figure 3a-b, and density curves in Figure 5g). Magma 438
located at the main locus of seismicity would have caused larger eastwards, rather than 439
northward motions. However, this behavior is not observed in the published GPS data. 440
441
At this initial phase, the location of the magma pulse seems to correspond quite well with the 442
inferred feeding system of the Tanganasoga volcano (4000 yr B.P.). This volcano is the only 443
polygenetic volcano in El Hierro Island, and the only area where it is common to produce 444
crystal-rich (ankaramite) lavas [Carracedo et al., 2001; Manconi et al., 2009]. Those crystal-rich 445
lavas are significantly denser than other El Hierro lavas, which indicate more primitive (deeper) 446
extraction regions, and interpreted as the effect of upper mantle decompression due to the El 447
Golfo flank collapse [Manconi et al., 2009]. This observation, coupled with the presence of a 448
new batch of magma at the CMR in this location, would indicate that this central area may be the 449
main feeding system for the entire El Hierro volcanism. Magmas would ascend further, erupting 450
directly above or distributed into the three rift zones, depending on the physic-chemical 451
conditions of the melt or its overpressure (gas content). 452
453
Between 8 August and 31 August 2011, our modeling results indicate the emplacement of an 454
additional magma volume of about 0.015 km3 into the CMR. The influx volume magma rate 455
apparently doubled (Figure 6). Although the increase in rate is not well constrained due to the 456
Gonzalez et al., Magma dynamics El Hierro eruption Page \21
low temporal SAR data resolution during this period, the apparent increase in the magma volume 457
change time series is in accordance with an observed increase in low-magnitude seismicity rates, 458
which by middle August peaked >400 events/day (Figure 2c). That increase in seismicity rate 459
was not associated with a significant increment in the magnitude of the seismic events. However, 460
the estimated magma influx and observed daily seismicity rates were the largest for the entire 461
analyzed period. Simultaneously, between 10 and 17 August a station located in the central part 462
of the Island detected a sharp increase in the diffuse degassing efflux of CO2 [Pérez et al., 2012]. 463
Basaltic magma rising through a plumbing system saturates in CO2 at pressures corresponding to 464
about 30 km depth, then buoyant CO2-rich gas exsolves and can rise rapidly to the surface 465
[Gerlach et al., 2002]. It is worth noting that CO2 levels were at low levels in late July and early 466
August. This might be explained by the fact that CO2 is highly soluble in the waters of shallow 467
aquifers. Therefore, it is possible that the sudden increase marked the full saturation in CO2 due 468
to an increase in deep influx. After this, the levels of CO2 efflux and 222
Rn activity rates steadily 469
increased during September until the eruption in early October [Pérez et al., 2012; Padilla et al., 470
2013]. 471
472
In September, the CMR did not change significantly in magma volume. This correlates with the 473
gradual decrease in daily seismicity rates occurred until middle September. Since middle 474
September 2011, GPS stations located in the north of the Island started to indicate a more north-475
south deformation, with a slightly increase in daily deformation rates [López et al., 2012]. 476
Seismicity began to spread southwards, and hypocenters were located between 12 and 17 km 477
depth (deeper than in the previous period). The N-S clustering of the seismicity may suggest the 478
propagation of dikes, however the surface deformation does not confirm it. In fact, the deepening 479
Gonzalez et al., Magma dynamics El Hierro eruption Page \22
of the events could be an artifact, reflecting that the southern part of the Island is significantly 480
more heterogeneous than the assumed 1D crustal-mantle seismic layered model [López et al., 481
2012], as indicated by the large horizontal and depth reported errors in the seismic catalog 482
(http://www.ign.es/ign/layoutIn/sismoFormularioCatalogo.do, note mean horizontal xy error 483
ellipse in Figure 2a, and mean depth error bar in Figure 2b). Therefore, hypocenter location 484
information should be interpreted carefully, at least for those events that occurred off-shore, 485
where the network configuration provides a poorer resolution. Nevertheless, these observations 486
suggest that magma migrated laterally away from the central CMR for a distance of about 10 km. 487
A possible reason for the migration could be the increase of magma overpressure due to 488
expansion/exsolution of CO2, as it might indicated by the increments in diffuse gases detected in 489
the central part of the Island [Pérez et al., 2012]. 490
491
During September the lack of dense temporal InSAR observations limits our ability to track 492
accurately the magma migration, particularly with depth. Modeling of the interferograms 493
spanning September 2011 did not support the existence of near vertical dikes. For example, the 494
descending interferogram 31 August to 30 October 2011 (Figure 4b) could be modeled by a dike 495
with a strike angle parallel to the south-southeast rift zone, but the location was either too far 496
from the coast or deepening strongly inwards towards the shore (not vertical). In addition, a 497
vertical dike poorly explains the observed descending interferograms. In Fig. 4d a small LOS 498
shortening signal south of the Island might corresponds to the opening of the submarine fissure 499
eruption feeding the dike between 30 September and 12 October. However, the data do not allow 500
for a reliable estimate of the causative source. As described previously, spherical or sill geometry 501
better explains the InSAR observations (Table 1, Figure 5d-f). In particular, interferograms 502
Gonzalez et al., Magma dynamics El Hierro eruption Page \23
modeling supports a shallower and smaller magmatic reservoir located slightly off-shore at the 503
Mar de las Calmas coastline and at 4.5 ± 2 km depth. The depth of this reservoir, hereafter SFR, 504
corresponds to the interface between the top of the oceanic crust, pre-volcanic sediments, and the 505
volcanic edifice. The thickness of the pre-volcanic oceanic sediments has been estimated to be at 506
least 1 km thick [Ranero et al., 1995]. This interface would generate a sufficient 507
density/rheology contrast to trap the ascending magmas. Geodetic modeling results points to an 508
increase in magma volume of about 0.01 km3 (Figure 6 and 7b). The SFR intruded magma 509
volume emplaced at some time between 30 August and 31 September 2011. 510
511
Cumulate geometric moment exhibited a steady-state increase, primarily due to events occurring 512
in the crust (Figure 2b and blue curve in Figure 6). During 23-27 September, the cumulative 513
geometric moment exceeded ~5 m3 (Figure 2b), a value which seems to be a critical threshold 514
value during this crisis (gray and blue curves in Figure 6). After 23-27 September (the last week 515
of September and early October), seismicity began to be located around the Mar de las Calmas 516
(Figure 3c and 3d). Cumulative geometric moment increased dramatically together with the 517
event magnitudes, with up to 90 being felt by the population [Martí et al., 2013]. We suggest that 518
this could mark the moment when the magma started to migrate and accumulate at the shallower 519
SFR. Furthermore, this upward migration provides a reasonable explanation for a positive 520
anomaly in differential geomagnetic signals that lasted for 3 days at this period. This was the 521
only anomaly registered between September and end of October 2011 [Figure 4 in López et al., 522
2012]. In addition, a mechanical loading model proposed to explain the magma migration 523
predicts that far from the load (the center of the Island) magma should emplace at shallower 524
Gonzalez et al., Magma dynamics El Hierro eruption Page \24
depths [Martí et al., 2013]. In fact, the numerical model parameterization indicates that magma 525
should be trapped at about 3-5 km or deeper, at distances of 10 to 20 km from the load axis. 526
527
Between 30 September and 12 October, seismicity remained high, but we did not detect 528
significant changes in magma volumes at CMR or SFR. The largest event in that period occurred 529
on 8 October at 20:35 UTC. The relatively large magnitude of this event allowed for calculating 530
its focal mechanism parameters. Moment tensor waveforms inversion initially indicated 6 km 531
depth [www.ign.es accessed the 28 March 2012]. This event has been interpreted as the start of 532
the upward migration of the magma towards the eruptive vents [Carracedo et al., 2012; López et 533
al., 2012; Martí et al., 2013]. The shallow moment centroid depth (~6 km) seems to be 534
consistent with our estimate for the SFR and realistically could have opened a path for the 535
migration of magma towards the surface. The surface rupture involved in a Mw4.0 corresponds 536
to an area of approximately ~500x500 m2 with a few centimeters of slip, probably too small to 537
open a significant path at ~12 km depth for magma upward migration. In addition, a shallower 538
reservoir could explain the observed high levels and gradual increase in H2S efflux recorded at a 539
station located on the Mar de las Calmas coastline prior to the submarine eruption [Pérez et al., 540
2012]. On 7 October (installation date), this station recorded H2S efflux values about twice as 541
high as the levels after the eruption began, when H2S efflux stabilized to assumed background 542
levels. Hydrogen sulfide separates only from the parental magmas at hydrothermal conditions 543
(low lithostatic pressures). Conversely, Pérez et al., [2012] reported absence of anomalous H2S 544
efflux at the center of the island. It supports the conclusion that magma at a depth of 10-15 km 545
could not exsolve that sulfur species in measurable quantities at the surface. Therefore, this 546
Gonzalez et al., Magma dynamics El Hierro eruption Page \25
indicates that the magma was already at shallow depths on the 7 October, at least a day before the 547
8 October earthquake. 548
549
We favor the hypothesis that magma started to migrate upwards and accumulate at the SFR on 550
26-27 September and for the next two weeks the reservoir pressurized. The pressurization 551
culminated with the 8 October 2011 event. Then, for approximately 32 hours the magma 552
migrated laterally in the topographically down-rift direction for ~5 km. During this period, very 553
mild and shallow (one to six km depth) seismicity occurred [www.ign.es]. This period ended 554
with the emergence of a growing amplitude tremor signal (10 October 2012, ~4:15 UTC). 555
Tremor amplitude increased for about 58 hr when the signal abruptly ceased after a peak in high 556
frequencies at 14:30 UTC on 12 October 2011. During the next 24 hours several additional high 557
frequency peaks were recorded. We interpret this as the magma started to ascend vertically on 558
the 10 October 2012, ~4:15 UTC. Tremor increased in amplitude as the magma was ascending 559
and decompression of vesicularized magmatic gasses or interaction with groundwater was 560
amplified, as commonly observed in other volcanoes [McNutt et al., 1996; Patanè et al., 2008]. 561
The sudden decrease in tremor amplitude provides a good indication of the initial/explosive 562
opening of the submarine vent. Therefore, the start of the submarine eruption occurred on 12 563
October 2012, when the first clear pale-color water plume was observed. Subsequent, high 564
frequency peaks in the tremor could be associated with submarine explosions. The temporal 565
evolution suggests a final magma ascend rate of ~0.02-0.03 m/s. This much simpler 566
interpretation accounts for the observations and contrasts with a previously proposed migration 567
model based on a 3 km long rift back-propagation towards higher topography, from 1000 m to 568
300 b.s.l. depth [Martí et al., 2013], which, to date, is not supported by the published bathymetric 569
Gonzalez et al., Magma dynamics El Hierro eruption Page \26
surveys [http://www.ieo.es/hierro.htm]. It also explains the absence or minor effects observed on 570
the sea surface between the 10 and 12 October 2011 [López et al., 2012]. Some residuals in the 571
modeled interferograms, limited to the very south edge of the island, could be related to the 572
shallow conduit feeding the eruptive fissure (Figure 7c and 7d). 573
574
On 15 October 2011, floating material appeared off La Restinga. The material varied from a 575
mixture of mafic and white pumice to large basanite floating balloons [Troll et al., 2012; 576
Carracedo et al., 2012]. Pérez-Torrado et al., [2012] attributed the latter to material commonly 577
formed during shallow submarine eruptions, as observed during the La Serreta eruption in Faial, 578
Azores Islands [Gaspar et al., 2003]. Basanite lava ballons were observed during the entire 579
eruptive period. However, the first products called “restingolitas” or xenopumices, appeared just 580
during the first few days of the eruption. The xenopumices have been attributed as formed by 581
three main processes: a) partial melting and vesiculation of pre-island quarz-rich sedimentary 582
rocks carried by the ascending magma [Troll et al., 2012] ; b) remobilization of a stagnant 583
phonolitic melt present as late differentiate in the crust and successive variable interaction with 584
old oceanic crust and the volcanic edifice [Sigmarsson et al., 2012]; and c) the result of the 585
thermally-induced interaction between an ascending basanitic magma, a stagnant trachytic 586
magma pocket/s and an associated hydrothermally altered halo with rhyolitic composition 587
[Meletlidis et al., 2012]. Indeed, the xenopumices interpretations could provide some clues on 588
the migration of the magma. Petrological experiments (mineral assemblage, composition and 589
crystal content) carried out with xenopumice samples are compatible with an isobaric (P=100 590
MPa, ~ 4 km) crystallization of trachytic melt cooling from 1035 to 900 ºC [Meletlidis et al., 591
2012]. However, other analytical results of xenopumice incompatible trace elements, designed to 592
Gonzalez et al., Magma dynamics El Hierro eruption Page \27
distinguish different magmatic differentiation processes are still controversial [Meletlidis et al., 593
2012; Troll et al., 2012]. It is interesting to note that all hypotheses for the generation of the 594
xenopumices require magma stalled with different degrees and/or time residences, at shallow (~4 595
km) depth [Meletlidis et al., 2012; Troll et al., 2012; Sigmarsson et al., 2012], in agreement with 596
a pre-island seafloor and volcanics interface. These observations further support a previously 597
undetected shallow SFR reservoir. 598
599
After the start of the eruption, the volume change at the deeper CMR started to decline, while the 600
shallow reservoir, SFR, did not change significantly for the remainder of the study period, as 601
confirmed by the absence of shallow depth cumulative geometric moment (blue curve in Figure 602
6). This decrease lasted until beginning of November 2011, when it ceased. The increment in 603
magma volume seems to correlate with a period of seismic quiescence and the beginning (26 604
October 2011) of very deep (20-30 km) seismicity located in the north of the Island (Figure 3d-605
e). During this phase, earthquakes magnitude increased until to the occurrence of a mbLg 4.6 606
event on 8 November 2011. Just after the mbLg 4.6 earthquake, an increment in volume of 607
approximately 0.01 km3 occurred at the CMR increase. The earthquake sequence could be the 608
result of a collapse of the deeper segments of the magma plumbing system due to magma 609
withdrawal and/or chamber walls relaxation [McNutt et al., 1996]. A geodetically undetected 610
deeper reservoir or plexus of intertwined intrusions and sills at this depth range corresponds with 611
petrologically constrained results [Stroncik et al., 2009]. The collapse of an ~25 km deep magma 612
reservoir could favor a transient increase in magma ascent rate. Evidence for a new, less-613
degassed (more primitive) magma batch is supported by the significant increment of CO2 soil 614
diffuse efflux surveys in November-December 2011 [Melián et al., 2012]. 615
Gonzalez et al., Magma dynamics El Hierro eruption Page \28
616
In late December, visible sea surface discoloration disappeared. This might be related to the 617
observed steady volume change decrease at the CMR in December (Figure 6). That clear trend 618
stopped in early January when basaltic floating bombs re-appeared and occurred discontinuously 619
throughout February. Again, this observation agrees with a mild and not completely significant 620
increase in volume change at the CMR reservoir. This also correlates with a modest increase in 621
the detected daily seismicity rate (Figure 2c). During February and March, CMR volume change 622
further decreased. By early March, the absence of visible effects on the sea surface and the lower 623
levels of seismicity triggered the official declaration of the end of the eruption on 5 March 2012 624
[www.gobiernodecanarias.org/dgse/noticias_sismo_hierro.html]. The invariant (overpressure) 625
volume change at the shallower rift flank reservoir, SFR, the behavior of the volume change in 626
the CMR, and its relation to the visible changes at the eruptive site is evidence for an active 627
(magmatic) hydraulic connection between the deep plumbing system and the eruptive vent. We 628
illustrate a conceptual model of the entire eruption in Figure 8. 629
630
These results, derived from the geodetic data of the 2011-2012 eruption, support a mechanical 631
scenario beneath the El Hierro Island which is quite similar to that proposed for the Island of 632
Hawaii [Ryan, 1993]. A central magmatic plumbing system focus magma (dikes) ascent, which 633
propagates from the mantle upwards due to buoyancy forces until it reaches a horizon of neutral 634
buoyancy [Tilling and Dvorak, 1993], the oceanic crust. Then, depending of the relative magma 635
overpressure (e.g., gas content) new and/or evolved magmas might be distributed into the rift 636
zones or continued along a vertical ascent path. Therefore, at least two horizons of neutral 637
buoyancy would be present at El Hierro. A deep horizon associated with olivine-rich cumulates 638
Gonzalez et al., Magma dynamics El Hierro eruption Page \29
(main magma underplating region) exists at a depth of 6-10 km for Hawaii, or ~9.5 km at El 639
Hierro (lower oceanic crust) and a shallower one at 2-4 km in Hawaii, or ~4.5 km at El Hierro. 640
Magma accumulation occurs preferentially at or near those horizons, which facilitates lateral 641
migration [Fialko and Rubin, 1998; Grandin et al., 2012] and possible eruption along rift zones. 642
643
5.2. Implications for the active magmatic systems of oceanic island volcanoes 644
We obtain a detailed and complex image of the main magma storage locations. We track the 645
magma migration before, during and after the El Hierro 2011-2012 submarine eruption by 646
combining data from different SAR sensors. Geodetic data and modeling results, coupled with 647
independent observations (e.g., gas emissions, loading mechanical models, and geochemistry and 648
petrology of erupted material) from this eruption revealed its crustal magmatic plumbing system. 649
Our results for the El Hierro eruption indicate two levels of magma stagnation that persist for a 650
minimum of weeks to months at the base of the oceanic crust (~9.5 km), and at least days to 651
weeks at the paleo-oceanic seafloor (~4 km). 652
653
Evidence presented here is in contrast with previous magma plumbing systems models (depths) 654
based solely on petrological analysis of Canary Islands lavas. Petrology evidence shows very 655
short-term magma stagnations of, at most, few days at shallow crustal levels [Kluegel et al., 656
2005]. Most studies systematically indicate magmatic systems with main storage volumes at 657
mantle pressures of, 600-1400 MPa or ~15-45 km depth [Kluegel et al., 2005; Longpré et al., 658
2008; Stroncik et al., 2009]. However, Kluegel et al., [2005] also identified a bi-modal 659
distribution of pressures based on the analysis of phenocrystals and fluid inclusions at La Palma, 660
with fluid inclusions indicative of shallower depths (7-14 km). They concluded that fluid 661
Gonzalez et al., Magma dynamics El Hierro eruption Page \30
inclusions re-equilibrate faster than the growth of phenocrystal rims at equilibrium conditions. 662
The same bimodality has been observed at Fogo Island [Hildner et al., 2012]. Based on 663
considerations of typical re-equilibration times of phenocrystals and fluid inclusions, it excluded 664
shallower magma stagnation before eruptions with residence times longer than hours to days 665
[Kluegel et al., 2005; Longpré et al., 2008]. Therefore, our deeper inferred depth range (~9.5 666
km) for the active magmatic reservoirs during the El Hierro eruptions is consistent with depths 667
estimated from fluid inclusions analysis for oceanic island volcanoes [Kluegel et al., 2005; 668
Hildner et al., 2012]. However, our results indicate residence times at this depth range that are 669
significantly longer than the previously suggested hours to days. 670
671
Regarding the shallowest level of magma stagnation at El Hierro (~4.5 km), at least two of the 672
proposed hypotheses for the origin of the xenopumices imply the existence of shallow reservoirs 673
with trachitic magmas evolving to phonolitic compositions [Sigmardsson et al., 2012], or long 674
lasting rhyolitic alteration halo surrounding a hot shallow trachitic magma pocket [Meletlidis et 675
al., 2012]. Additionally, evidence for the relevance of this depth range for the Canary Islands can 676
be found from the analysis of other volcanoes. In Gran Canaria, estimated pressure in fluid 677
inclusion samples indicate reservoirs at 2-4 km depth, which are interpreted as a relevant horizon 678
of neutral buoyancy [Hansteen et al., 1998]. The analysis of fluid inclusion pressures of Gran 679
Canaria samples is relevant because those are from eruptive products in its shield basalt stage, 680
the current oceanic island volcano evolution stage for El Hierro. A similar magma depth has 681
been estimated for Tenerife Island (Canary Islands) during a more evolved stage (central sub-682
plinian volcanism). Recently, a magma storage depth was inferred at about 5 ± 1 km beneath the 683
summit of Teide volcano using phase equilibrium experiments [Andújar et al., 2010]. In 684
Gonzalez et al., Magma dynamics El Hierro eruption Page \31
addition, P-wave seismic velocity contrast horizons at ~4 km depth have been found for La 685
Palma, Tenerife and Lanzarote [Lodge et al., 2012]. This suggests that this depth range may 686
represent a regional horizon of neutral buoyancy for the Canary Islands magmas. It clearly 687
corresponds to the average pre-island seafloor with a variable effect due to lithospheric flexural 688
volcanic loading. Such magma stagnation levels can be interpreted as an initial stage in the 689
formation of magma chambers, similar to those actually present in other, more evolved, Canary 690
Islands oceanic island volcanoes such as at Tenerife and Gran Canaria [Ablay and Martí, 2000]. 691
When magma chambers establish, primitive melts can fractionate to generate evolved magmas 692
(e.g., phonolites) that could reach eruptable conditions similar to the central Canary Islands. 693
However at least for the current stage of volcanic evolution, we find that those conditions are not 694
met in the El Hierro magmatic plumbing system. 695
696
At the current shield-building stage in El Hierro, we also cannot rule out that the detected 697
reservoirs may be more ephemeral and solidify completely at depth, thus confirming part of the 698
proposed active magmatic underplating beneath Canary Islands volcanoes [Dañobeitia and 699
Canales, 2000; Lodge et al., 2012]. Thus, the magmatic underplating process could explain the 700
observed rates of island uplift, as seen e.g., at La Palma [Staudigel and Schmincke, 1984; 701
Hildenbrand et al., 2003] and Tenerife [Kroechert et al., 2008]. Since the end of the eruption, 702
several episodes of renewed seismicity occurred in June-July 2011, September 2011, and 703
December 2011-January 2012 (www.ign.es). Those seismic swarms, all deeper than 10 km, were 704
accompanied with clear uplift signals at the IGN and INVOLCAN GPS monitoring networks 705
[www.ign.es; Sagiya et al., 2012]. Each post-eruption seismic swarm distributed over areas that 706
were not affected by previous seismicity during the pre-eruption and co-eruption periods. In 707
Gonzalez et al., Magma dynamics El Hierro eruption Page \32
general, the seismo-deformation swarm patterns indicate that magmatic underplating contributes 708
to a relatively homogeneous uplifting of the entire volcanic edifice (island). The observed 709
episode at El Hierro suggests that the magma plumbing system and underplating process could 710
have significant differences among Islands. For example, at La Palma a strong asymmetry affects 711
the uplifted formations (seamount), which are tilted towards the west [Staudigel and Schmincke, 712
1984], which may partially explain observed azimuth differences in P-to-S receiver functions 713
beneath this island [Li et al., 2003]. These results are unexpected and reveal substantial 714
differences in the magmatic plumbing systems among the Canary Islands chain. Here, we 715
speculate that differences in the distribution of magmatic underplating and the relative 716
importance of the shallowest horizon of neutral buoyancy may result in the development of 717
central phonolitic volcanic systems in some islands, e.g. Tenerife and Gran Canaria, and absence 718
in other islands, e.g., Lanzarote, Fuerteventura, La Gomera and perhaps La Palma. 719
720
Studies of the magma plumbing systems at (basaltic) oceanic island volcanoes have revealed 721
fundamental differences in their shallower (crustal) levels (e.g., Reunion, Galápagos, Hawaiian, 722
Canarian and Cape Verde Islands). Shallow (crustal) magma chambers have been postulated but 723
they are not always present or detected. At Hawaii, magma chambers stagnate and distribute 724
magma along elongated rift zones [Tilling and Dvorak, 1993]. At Tenerife and Gran Canaria 725
Islands, crustal magma chambers develop as long-lived features able to fractionate parental 726
basanitic composition melts into end-member (highly explosive) phonolitic magmas [Ablay and 727
Martí, 2000]. Our results indicate two active crustal magma reservoirs at ~9.5 and ~4.5 km for 728
the 2011-2012 El Hierro eruption. Interestingly, volcanic systems with two crustal magma 729
accumulation levels are relatively common for a number of oceanic island volcanoes. For 730
Gonzalez et al., Magma dynamics El Hierro eruption Page \33
example, in the Island of Hawaii the central feeding system of Kilauea volcano is composed of 731
main two main levels of magma storage, in particular at about 1 km and about 3 km depth 732
[Cervelli and Miklius, 2003; Baker and Amelung, 2012]. Two active magmatic chambers have 733
been detected in the last 30 years at La Piton de la Fournaise, at ~2.5 and ~7 km [Peltier et al., 734
2009]. At the Galápagos Islands, active shallow crustal magma reservoirs have been detected 735
geodetically at Wolf, Darwin, Alcedo, Cerro Azul and Sierra Negra volcanoes. However, only at 736
Fernandina Island volcano has two levels of magma storage been reliably estimated at depths of 737
~1 and ~5 km [Chadwick et al., 2011; Bagnardi and Amelung, 2012]. As it seems a common 738
feature, we can designate this two-level magma crustal storage system in oceanic island 739
volcanoes as a doublet crustal magmatic system. 740
741
The existence of shallow crustal magmatic systems has been previously attributed to relative 742
importance of the deep mantle magma melt supply rates [Clague and Dixon, 2000]. Our results 743
indicate that the high melt supply is not a sufficient condition for the existence of the shallow 744
magma reservoirs, because the Canary Islands has one of the lowest magma supply rates for 745
oceanic island volcanoes, ~0.0002 km3/year [Amelung and Day, 2002]. Other conditions have 746
been proposed to explain the existence or not of crustal magmatic chambers. Hildner et al. 747
[2012] proposed that the age of the underlying lithosphere could control this behavior. In Figure 748
9, we show the relation between age of the underlying lithosphere and the depth of crustal 749
magma chambers (constrained using geodetic data, under relatively similar assumptions). The 750
figure illustrates a weak trend from shallower systems to deeper ones, as oceanic lithosphere 751
ages. However, an anomaly occurs in the case of the crustal magmatic system from Hawaiian 752
volcanoes, which are resting on a ~90 Ma old oceanic lithosphere. The active Hawaiian 753
Gonzalez et al., Magma dynamics El Hierro eruption Page \34
magmatic systems are significantly shallower than the one expected for an age progression. If we 754
consider mid- to long-term magma supply rates, a clearer trend is observed (Figure 10). Both the 755
shallowest and deepest reservoirs in single and doublet systems are deeper when the magma 756
supply rate is lower. This result illustrates that the main controlling factor is the 757
thermomechanical structure of the crust, which depends strongly on the deep mantle magma 758
supply rate, and also on the age of the oceanic lithosphere. This occurs because older oceanic 759
lithospheres are significantly cooler than younger and buoyant oceanic crust (lithosphere), 760
causing the seafloor to deepen due to thermal contraction and increase in density. 761
762
The observation that there is a pervasive absence of reservoirs at the shallow crustal levels at 763
some oceanic islands needs to be revised [Amelung and Day, 2002; Kluegel et al, 2005]. The 764
lack of shallow magmatic systems may be attributed to fairly local processes that sometimes can 765
significantly disturb their structure, such as catastrophic flank collapses [Amelung and Day, 766
2002; Manconi et al., 2009]. On the other hand, it might a sampling artifact, because many 767
volcanoes lack sufficient or good quality data over the typical long-recurrence eruptive periods, 768
in particular for oceanic island volcanoes with modest magma supply rates (e.g., Azores, Canary 769
Islands, Cape Verde or Comoros). 770
771
772
6. Conclusions 773
We successfully combined multi-frequency and multi-satellite interferometric data to study the 774
volcanic deformation associated with the 2011-2012 El Hierro submarine eruption, with a 775
temporal sampling of ~10 days during the eruption. This study demonstrates the potential to 776
Gonzalez et al., Magma dynamics El Hierro eruption Page \35
obtain high-resolution temporal deformation and mitigate poor geodetic volcano monitoring 777
systems using a combination of space-borne radar satellites. In addition, our results also 778
demonstrate the applicability of radar observations to studying off-shore eruptions, if occurring 779
close to the coast. In the near future, the next generation of radar satellites, such as the satellite 780
constellations COSMO-SkyMed and the planned RADARSAT Constellation Mission, and short 781
revisit time missions such as ESA Sentinel-1 and the Japanese ALOS-2, will allow the study of 782
sub-weekly to daily magma volume changes in land volcanic systems at a global scale. 783
784
This data processing and modeling approach allows us to analyze the full range of temporal 785
changes of the magmatic sources that produce the observed deformation (Figure 8). The 786
interpretation of the results provides evidence for two reservoirs, CMR, larger and ~9.5 km 787
depth, and SFR, a smaller off-shore rift-elongated at ~4.5 km depth. This dense temporal 788
sampling suggests magma started to accumulate in the centre of the Island for about two months, 789
migrated southwards, and ascended to about 4 km depth in late September. Finally, lateral and 790
vertical migration occurred between 9 and 12 October 2012. Starting on the 12 October 2012 and 791
continuing for the subsequent 5 months, magma erupted along a submarine NW-SE fissure 792
vent(s) without significant fissure migration. Volume changes in the CMR are consistent with the 793
ascent of one or two more primitive magma pulses from an upper mantle (deeper) source during 794
November 2011 and January-February 2012. The latter batches of magma contributed to the 795
relatively long eruption duration (~5 months), as compared to previous shorter Canary Islands 796
eruptions. 797
798
Gonzalez et al., Magma dynamics El Hierro eruption Page \36
The detection/existence of a very shallow magmatic reservoir has important implications in the 799
understanding of the Canary Islands volcanoes crustal magma plumbing systems. We conclude 800
that the existence of shallow reservoirs, active for relatively long periods of time (at least weeks 801
to months) might suggest initial stages of magma chamber formation. Shallow magmatic 802
reservoirs could fractionate primitive basanitic magmas into evolved trachites or phonolite, as 803
erupted in La Palma and more voluminously in Tenerife and Gran Canaria. Such magmas could 804
reach eruptable conditions as the magmatic system that feed the oceanic island volcano evolves 805
to a more mature evolutionary stage at least for the western Canary Islands. However, at El 806
Hierro, those conditions do not meet the current stage of volcanic evolution. In addition, magma 807
stagnated at or near the crustal-mantle reservoir(s) may contribute to the deep cumulitic 808
complexes. Cumulitic complexes are common at oceanic island volcanoes and have been 809
detected using geophysical surveys. The complete solidification of magma would correspond to 810
an active magmatic underplating beneath Canary Islands volcanoes. Spatial variability of 811
magmatic underplating could explain the observed rates of island uplift and patterns, as observed 812
at La Palma and Tenerife Islands. 813
814
Geodetic interpretation of the deformation associated with the 2011-2012 eruption revealed that 815
the crustal magma plumbing system of the Canary Islands oceanic island volcanoes are relatively 816
similar to other oceanic volcano groups (Hawaii, Piton de la Fournaise, Galápagos). In particular, 817
doublet magma storage levels seem to be a recurrent feature in many oceanic island volcanoes. 818
Lack of shallow crustal magma chambers (e.g. El Hierro) has been suggested for low-magma 819
supply rate volcanic areas. This could lead to artifacts resulting from the low activity and long-820
recurrence time of eruptions. However, local catastrophic events might sometimes disturb the 821
Gonzalez et al., Magma dynamics El Hierro eruption Page \37
shallow magmatic system, e.g. Fogo Island. Data from El Hierro shallow magmatic system 822
suggest that the existence and depth of crustal magma chambers can be attributed to the 823
thermomechanical conditions of the oceanic lithosphere on which the volcanic islands rest. Such 824
thermomechanical conditions would depend strongly on the mantle magma supply rate, and on 825
the age of the oceanic lithosphere. 826
Gonzalez et al., Magma dynamics El Hierro eruption Page \38
Acknowledgments 827
KFT and PJG are partially supported by an Ontario Early Researcher Award and an NSERC 828
Discovery Grant. PJG also acknowledges the Banting Postdoctoral Fellowship (Canadian 829
Government). SP has been supported by the Italian Space Agency (ASI). Research by JF and 830
AGC has been supported by the MICINN research project AYA2010-17448. It is a contribution 831
for the Moncloa Campus of International Excellence. RADARSAT-2 images were acquired 832
under SOAR-E project #28209 from the Canadian Space Agency. ENVISAT images from ESA 833
CAT1 project #6745. COSMO-SkyMed data were processed at IREA-CNR within the Italian 834
Space Agency (ASI) SAR4Volcanoes project (agreement I/034/11/0). The authors are grateful to 835
Mike Poland for insights gained during an early review of this paper, two anonymous reviewers 836
who improved the manuscript quality, and Mimmo Palano for his rapid response to the 837
computation of FRON GPS time series. We also thank Simona Zoffoli of ASI for her support in 838
planing and providing COSMO-SkyMed data. GMT Open source software was used for all 839
figures, except Figure 8 which was designed using Open source software Inkscape. 840
841
842
843
844
Gonzalez et al., Magma dynamics El Hierro eruption Page \39
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Figure 1. Map of El Hierro Island and the three rift zones (Northeastern, Western-
Northwestern, and South-Southeastern) showing topography (shaded topography).
Simplified geological map of El Hierro. 1.2–0.88 Ma Tiñor volcano (green), 545–176 ka
El Golfo volcano (blue), and rift volcanism, pre- and post-El Golfo collapse in orangish
and red, respectively. Flank collapses are denoted with blue dashed lines. Populated areas
are shown with gray polygons. Inset: El Hierro (EH) location in the Canary Islands NW
off African continent. Red star indicates the approximate location of the eruption site
(same in all map figures).
Figure 2. (a) Seismicity located according to near-real time Spanish Instituto Geografico
Nacional seismic catalog (www.ign.es). Events are color-coded according to date. Gray
circles are lower and upper standard errors for events location reported in López et al.,
[2012] and black ellipse illustrates the mean standard error taking into account horizontal
correlation (http://www.ign.es/ign/layoutIn/sismoFormularioCatalogo.do). (b) Vertical
cross-section projecting all seismic events along longitude -18.02. Black bar shows the
standard errors in depth location. (c) Seismicity rate, earthquakes per day, and cumulative
seismic geometric moment, in cubic meter. Shaded area indicates the eruption period.
Top color marks indicate satellite SAR acquisition dates (blue Radarsat-2, red ENVISAT
and black CSK).
Figure 3. Monthly seismicity according to Spanish Instituto Geografico Nacional
(www.ign.es). (a) July 2011, (b) August 2011, (c) September 2011, (d) October 2011, (e)
November 2011, and (f) December 2011 and March 2012. In panels (a) to (e) events are
color coded according to date of month. For panel (f) events are color coded according to
date since 2011/12/01.
Figure 4. Observed interferograms spanning (a) period of without deformation
(2010/09/06-2011/05/04); (b) initial stages of the magmatic activity with seismicity
located in the center of the Island (2011/05/04-2011/08/08); (c) the period of southwards
migration of seismicity in September-early October (2011/08/31-2011/10/30); (d)
interferogram covering days before the onset of the submarine eruption (2011/09/30-
2011/10/12); (e) independent ascending Radarsat-2 interferogram spanning all the
deformation associated with the entire pre-eruptive phase (2009/12/09-2011/10/12); and
(f) an eruptive interferogram illustrative of the deep recharge of the system, a wide
deformation pattern in the central part of the Island (2011/10/30-2011/11/29). All
interferograms shown here indicate motion primarily towards satellite (negative is
shortening LOS).
Figure 5. (a) Observed ground-deformation (4 May 2011-8 August 2011) using ascending
Radarsat-2 images, with a maximum motion towards satellite of ~9 cm. (b) Simulated
ground deformation predicted by the best-fitting single spherical source model (see g) of
(a). (c) Residual of (b) and (a). (d) Observed ground deformation (31 August 2011-30
October 2011) using descending ENVISAT images from Track 109, with a maximum
motion towards the satellite of ~10-12 cm. (e) Simulated ground-deformation predicted
with the best-fitting single spherical source model (see g) of (d). (f) Residual of (b) and
(a). (g) Location of the best-fitting spherical point sources: orange, deep crustal source
(b); and dark red, the shallower crustal reservoir (e). Seismicity flux (events/km2), which
represents the 2D clustering of background seismicity, is shown the background. Inset
shows the vertical cross-section b-b'.
Figure 6. Time series of the volume change between May 2011 and March 2012 for the
two spherical point sources (orange circles, CMR deep source; and dark red diamonds,
the SFR shallow rift reservoir) from the TSVD inversion. Cumulative seismic geometric
moment, in cubic meter, is indicated as a shaded gray area for all events, and shaded blue
for earthquakes shallower than 15 km. In addition, we show in gray, the time series of the
NS component from FRON GPS station, applying a moderate temporal filter (boxcar
with width 0.05 years) the time series shows minor oscillations after September 2011,
which seems to be correlated with the behavior of the CMR reservoir (~9.5 km).
However, these oscillations are well below the time series scatter and will require a
deeper data analysis and additional GPS time series to extract robust conclusions.
Figure 7. Matrix of observed, simulated, residuals and profiles (model in red and data in
black) for various interferograms spanning the pre-eruptive phase (a) 2011/05/04-
2011/08/08; (b) 2011/08/31-2011/10/30; (c) 2011/09/30-2011/10/12; (d) 2009/12/09-
2011/10/12; and the eruptive phase (e) 2011/10/30-2011/11/29.
Figure 8. Cartoons showing North-South cross sections through El Hierro Island. Each
panel illustrates a schematic model of the active magma plumbing system at the different
phases discussed in the text.
Figure 9. Depth of inflating/deflating magma chambers at different oceanic island
volcanoes compared with the age of the underlying oceanic lithosphere. A weak trend
towards deeper magma chambers as the oceanic lithosphere aged can be observed in the
shallow (red circles) and deep (blue squares) crustal reservoirs. This trend is disrupted in
the case of the active volcanoes of the Hawaii Island (Kilauea and Mauna Loa). Data and
references in Table S3.
Figure 10. Same as Figure 9, but comparing depth of crustal reservoirs against the magma
supply rate for oceanic island volcanoes. A clear trend can be observed in the shallow
(red circles) and deep (blue squares) crustal reservoirs. Data and references in Table S3.
Gonzalez et al., Magma dynamics El Hierro eruption Page \1
1
TABLE 1. Numerical results for inverted magmatic source parameters 2
3 Phase 1 (June-August 2011)
Interferogram Source Lon [deg. ± km] Lat [deg. ± km] Depth [km] Radius [km] Vol [km3] RMS [cm]
20110504-20110808 Mogi -18.0584 ± 3.7 27.7103 ± 4.3 8.4 ± 4.1 - 0.031 ± 0.010 0.93
Sill -18.0739 ± 2.2 27.7587 ± 5.4 9.7 ± 2.5 0.615 ± 0.546 0.012 ± 0.360 0.70
Stack R2S6 Mogi -18.0681 ± 1.8 27.7126 ± 4.2 10.2 ± 4.7 - 0.034 ± 0.015 0.66
Sill -18.0641 ± 1.2 27.7178 ± 2.2 11.2 ± 1.8 0.75 ± 0.396 0.022 ± 0.195 0.77
Phase 2 (August-October 2011)
Interferogram Source Lon [deg. ± km] Lat [deg. ± km] Depth [km] Radius [km] Vol [km3] RMS [cm]
20110831-20111030 Mogi -18.0370 ± 2.2 27.6653 ± 2.3 4.2 ± 2.4 - 0.012 ± 0.010 0.91
Sill -18.0471 ± 3.4 27.6701 ± 4.4 4.9 ± 3.8 3.604 ± 0.889 0.012 ± 0.809 1.81
4