urface loading affects internal pressure source ...5. derivation of crustal parameters for hekla...

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S URFACE LOADING AFFECTS INTERNAL PRESSURE SOURCE CHARACTERISTICS DERIVED FROM VOLCANO DEFORMATION SIGNALS Ronni Grapenthin 1* , F. Sigmundsson 2 , B. ´ Ofeigsson 2 , E. Sturkell 3 1 Geophysical Institute / Alaska Volcano Observatory, Univ. Alaska, Fairbanks, USA 2 Nordic Volcanological Institute, University of Iceland, Reykjav ´ ık, Iceland 3 Department of Earth Sciences, University of Gothenburg, G ¨ oteborg, Sweden * contact: [email protected] EGU2010-12520 Abstract We demonstrate the effect of surface loads on the parameters of a hypothetical magma reser- voir and outline possibilities to exploit the load signal for the derivation of crustal parameters. We present a first order approach to distinguish between contributions of internal and exter- nal deformation sources based on the ratio of radial and vertical deformation. This method is applied to observations made at the Icelandic Hekla volcano for which we estimate an inflating pressure point source at 11.2 km depth prior to the year 2000 eruption. We estimate the crust in the Hekla region to have an elastic plate thickness of 3.5 km and an effective relaxation time of 100 years, i.e. a viscosity of 0.6 - 1.2 × 10 18 Pa s. 1. Introduction Deformation of the Earth’s surface provides critical information about the migration of material beneath a volcano. The resulting displacements, recorded by geodetic techniques such as GPS or InSAR, are used to infer characteristics of a volcanoes plumbing system; critical for hazard mitigation in volcanic regions. A set of deformation data usually starts the quest for a source model that explains these data best. The impact of surface load dynamics on these data often seems to be neglected, although their impact on the deformation field and characteristics of volcanoes is recognized e.g., Jull and McKenzie (1996), Pinel (2000, 2005), Pagli (2008). We show that a slow gradual viscous response to lava loads emplaced over decades to centuries must also be considered for volcanoes with large lava production. We consider Hekla volcano, Iceland specifically the 1947, 1970, 1980/81, and 1991 eruptions; all of which deposited in a small central area. 2. Surface and internal load models F IG . 1: A Green’s function gives unit impulse response to a specific problem. Convolving a Green’s function for subsidence with a load will, e.g. result in values for verti- cal displacement at each grid point. The emplacement of a load on the surface of an Earth in lithostatic equilibrium induces an instantaneous elastic response. Given suf- ficient duration and magnitude or wavelength of the load, a viscous response will follow until a final relaxed state is reached. Pinel et al. (2007) suggested the use of a single effective relaxation time to model the transition from initial to final response for a flat elastic plate overlying a half-space of Newtonian viscosity. They also de- rived the Green’s functions (see Fig. 1) which are implemented in the software tool C RUS D E (Grapenthin, 2007) for our load response modeling. An internal pressure change in a spherical magma reservoir is described as a pressure point source embedded in an elastic half-space (Mogi, 1958). This Mogi model depends only on 4 parameters: 3 spatial coordinates of the source’s center and its strength (Fig. 2). We also consider deformation due to an oblate rectangular magma body (sill) modeled as a tensile fault (Okada, 1992). A combination of elastic layer and viscous creep underneath ef- fectively creates a time dependent low-pass filter (with Maxwell response time). Hence, short wavelength features of complex loads such as lava flows are lost in recorded deformation pattern. Thus, deformation induced by surface loads and internal pres- sure sources can show similar, circular, surface expressions which can be mistaken for one another (see Fig. 3b,c). Differences, how- ever, are prominent in the horizontal field. F IG . 2: Vertical displacement field due to pressure point source infla- tion below the surface. 3. Gedankenexperiment & displacement ratios In Fig. 3b,c we show the effect of a surface load on depth and volume estimates of a magmatic source by superimposing subsidence due to a disk load on deflation of a hypotheti- cal magma reservoir. The inversion of the modulated signal, however, is carried out for the magma reservoir (sill or Mogi source) only and gives considerable misfit. Fig. 3d shows the ratios r = horizontal vertical displacement for the synthetic data (Pinel, 2007). The ratio of the superimposed data (purple) is clearly distinct from those of the forward and inverse models with a steep slope up to the distance where the horizontal displacement of the Mogi source reaches its maximum. -0.10 -0.05 0.00 Displacement (m) B) vertical C) horizontal A) source models Best Fit Sill (V s ~ 2.4*V m ) Best Fit Mogi (V m,f ~ 6*V m ) Mogi (V m ) Disk Load -15 -10 -5 0 Depth (km) -30 -20 -10 0 10 20 30 Distance from source (km) 0.0 0.5 1.0 1.5 |U h / U v | D) displacement ratios Disk, final relaxed Disk, max. elastic Mogi+Disk Best fit Sill Best fit Mogi Mogi 0 5 10 15 20 25 30 Distance from source (km) F IG . 3: (A) Forward model sources: Mogi, Disk load. Inversion results: Best fit Mogi, Best fit sill (colors of sources correspond to colors in B,C,D). (B, C) vertical and horizontal deformation due to Disk load emplacement, density ρ = 2700 kgm -3 , radius r = 1500 m, and uniform height h = 7.5 m on a flat surface, deflation of a spherical magma reservoir at depth d = 5 km with a volume change V = -0.025 km 3 , superposition of subsidence and deflation. Note similarities in vertical and differences in horizontal field. Inversion of combined signal results in Mogi source at depth d = 8.8 km with V = -0.15 km 3 or a sill at depth d = 14.8 km, opening o = 3 m, length and width l = w = 4.5 km and volume V = -0.061 km 3 (D) Displacement ratios horizontal vertical corresponding to sources in A and deformation in B,C. Due to the differences in horizontal displacements at almost similar vertical displacements for surface loading and intenal pressure source, this ratio can be used to identify deformation signal superposition. 4. Chamber depth issues – conceptual 19˚54'W 19˚48'W 19˚42'W 19˚36'W 19˚30'W 19˚24'W 63˚57'N 64˚00'N 64˚03'N 64˚06'N MOHN ISAK 19˚54'W 19˚48'W 19˚42'W 19˚36'W 19˚30'W 19˚24'W 63˚57'N 64˚00'N 64˚03'N 64˚06'N 0 5 km consider sites ISAK and MOHN (Fig. 4) after Hekla 2000 eruption (V=0.189 km 3 lava H ¨ oskuldsson et al., 2007)). note that r = U h U z = h d for Mogi source (d is source depth, h is horizontal distance from source projected on surface); h mohn = 6.2 km, h isak = 17 km r mohn = 0.196 (camp. data 2000–2004), r isak = 0.595 (cont. data 2002–2006) therefore (if posteruptive deformation was only due to Mogi source): d = 1/2 * ( h mohn r mohn + h isak r isak )= 30 km 30 km is below brittle–ductile transition, previous estimates cluster around d = 10 km indicates: other processes than magma deflation might be involed, suggested mechanism is visco–elastic response to previously erupted lava loads. F IG . 4: Map showing Hekla volcano, its location in Iceland (inset), two GPS sites MOHN and ISAK, and preliminary outlines of year 2000 lava. 5. Derivation of Crustal Parameters for Hekla F IG . 5: Mean line of sight (LOS) velocity derived from scenes captured between May 25, 1997 and October 15, 1999. Three obvisous deformation areas: circular uplift around Hekla, subsidence in its center (note black 1991 lava flow outline), and subsidence to the ESE of Hekla, likely related to processes at the Torfaj¨ okull glacier (ignored). Dots mark points over which the LOS velocity was averaged; pro- files shown in Fig. 6. F IG . 6: Dots show averaged LOS velocity for respective profiles from Fig. 5. Red line is LOS velocity due to a Mogi source fitted to averaged LOS velocities at the “shoulders” of the profiles (depth 11.6 km). Horizontal bars indicate a LOS velocity of 13.5 mm/yr of subsidence surface loading (and other effects?) has to account for. 6. Derivation of Crustal Parameters . . . , Algorithm use Young’s modulus derived by Grapenthin et al. (2006): E = 40 GPa, Poisson’s ratio 0.25 create profiles of averaged LOS displacement vectors (Fig. 5). average a few profile points with significant inflation invert for depth (d=11.2 km) and volume of a Mogi source cen- tered on profile intersection estimate difference between expected Mogi max and actual profile min: m = 13.5 mm/yr ; loading has to account for that estimate elastic plate thickness H : grid search over the fi- nal relaxed responses to 1947–1991 lava loads to fit width of subsidence; get H = 3.5 km (agrees with values from previous studies (LaFemina et al., 2005, Pinel et al., 2007) (Fig. 7, left). estimate viscosity, η: a grid search over effective relaxation time t r =[25 ... 1000] a in 25 a increments and fit m; get t r = 100 a, corresponds to viscosity of η = 0.6 - 1.2 × 10 18 Pa s (agrees with the estimates of 4 - 10 × 10 18 Pa s by Pagli et al. (2007) (Fig. 7, right). Remove load contribution from InSAR data if so desired. F IG . 7: Vertical displacements after 1947–1991 Hekla flows are applied. left Final relaxed state. Elastic plate thickness is being varied such that displacement radius fits InSAR observations. right Displacement rates, effective relaxation is varied until max. displacement rate fits InSAR observations. 7. Conclusions surface load signals in volcanic regions affect source model estimates; up to the point of changing the preferred model gradual subsidence may be mistaken as source deflation . . . or at least has significant impact on interpretations horizontal deformation gives clues about signal source(s) visco-elastic response to (recent) loads must be considered signal can be exploited to derive crustal parameters . . . GPS, InSAR, and inverse approaches are necessary we had: Young’s modulus, Poisson’s ratio we estimated: source depth, elastic plate thickness, viscosity References: Grapenthin, R., Sigmundsson, F., Geirsson, H., ´ Arnad´ ottir, T., Pinel, V (2006) Icelandic rhythmics: Annual modulation of land elevation and plate spreading by snow load, Geophys. Res. Lett., 33, L24305. Grapenthin, R. (2007), CRUS DE: A plug-in based simulation framework for composable CRUStal DEformation simulations using Green’s functions, Ms thesis, Humboldt-Universit¨ at zu Berlin, pp. 127. H ¨ oskuldsson, ´ A., ´ Oskarsson, N., Pedersen, R., Gr ¨ onvold, K., Vogfj¨ ord, K., ´ Olafsd´ ottir, R. (2007) The millennium eruption of Hekla in February 2000, Bull. Volc., doi:10.1007/s00445-007-0128-3. Mogi, K. (1958) Relations between eruptions of various volcanoes and the deformations of the ground surface around them, Bull. Earthquake Res. Inst. Univ. Tokyo, 36, 99–134. Pinel, V., Sigmundsson F., Sturkell, E., Geirsson, H., Einarsson, P., Gudmundsson, M.T., H¨ ognad´ ottir, Th. (2007) Discriminating volcano deformation due to magma movements and variable surface loads: Application to Katla subglacial volcano, Iceland, Geophys. J. Int., 169, 325–338.

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Page 1: URFACE LOADING AFFECTS INTERNAL PRESSURE SOURCE ...5. Derivation of Crustal Parameters for Hekla FIG. 5: Mean line of sight (LOS) velocity derived from scenes captured between May

SURFACE LOADING AFFECTS INTERNAL PRESSURE SOURCE CHARACTERISTICS DERIVED

FROM VOLCANO DEFORMATION SIGNALSRonni Grapenthin1∗, F. Sigmundsson2, B. Ofeigsson2, E. Sturkell3

1 Geophysical Institute / Alaska Volcano Observatory, Univ. Alaska, Fairbanks, USA2 Nordic Volcanological Institute, University of Iceland, Reykjavık, Iceland

3 Department of Earth Sciences, University of Gothenburg, Goteborg, Sweden∗contact: [email protected] EGU2010-12520

Abstract

We demonstrate the effect of surface loads on the parameters of a hypothetical magma reser-voir and outline possibilities to exploit the load signal for the derivation of crustal parameters.We present a first order approach to distinguish between contributions of internal and exter-nal deformation sources based on the ratio of radial and vertical deformation.This method isapplied to observations made at the Icelandic Hekla volcano for which we estimate an inflatingpressure point source at 11.2 km depth prior to the year 2000 eruption. We estimate the crustin the Hekla region to have an elastic plate thickness of 3.5 km and an effective relaxation timeof 100 years, i.e. a viscosity of0.6−1.2×1018Pa s.

1. Introduction

Deformation of the Earth’s surface provides critical information about themigration of materialbeneath a volcano. The resulting displacements, recorded by geodetic techniquessuch as GPSor InSAR, are used to infer characteristics of a volcanoes plumbing system; critical for hazardmitigation in volcanic regions.

A set of deformation data usually starts the quest for a source model that explains these databest. The impact of surface load dynamics on these data often seems to be neglected, althoughtheir impact on the deformation field and characteristics of volcanoes is recognizede.g., Jull andMcKenzie (1996), Pinel (2000, 2005), Pagli (2008). We show that a slow gradual viscous responseto lava loads emplaced over decades to centuries must also be considered for volcanoes with largelava production. We consider Hekla volcano, Iceland specifically the 1947, 1970, 1980/81, and1991 eruptions; all of which deposited in a small central area.

2. Surface and internal load models

FIG. 1: A Green’s function givesunit impulse response to a specificproblem. Convolving a Green’sfunction for subsidence with a loadwill, e.g. result in values for verti-cal displacement at each grid point.

The emplacement of aload on the surfaceof an Earth in lithostaticequilibrium induces an instantaneouselastic response. Given suf-ficient duration and magnitude or wavelength of the load, aviscousresponsewill follow until a final relaxed state is reached.Pinel etal. (2007)suggested the use of a single effective relaxation time tomodel thetransition from initial to final response for a flat elasticplate overlying a half-space of Newtonian viscosity. They also de-rived theGreen’s functions (see Fig. 1) which are implemented inthe software tool CRUSDE (Grapenthin, 2007)for our load responsemodeling.

An internal pressure changein a spherical magma reservoir isdescribed as apressure point sourceembedded in anelastichalf-space (Mogi, 1958). This Mogi model depends only on 4parameters: 3 spatial coordinates of the source’s center and itsstrength (Fig. 2). We also consider deformation due to an oblaterectangular magma body (sill) modeled as atensile fault (Okada,1992).

A combination ofelastic layer and viscouscreep underneath ef-fectively creates a time dependentlow-pass filter (with Maxwellresponse time). Hence, short wavelength features of complexloads such as lava flows are lost in recorded deformation pattern.Thus, deformation induced bysurface loads and internal pres-sure sourcescan showsimilar , circular, surface expressions whichcan be mistaken for one another (see Fig. 3b,c).Differences, how-ever, are prominent in thehorizontal field.

FIG. 2: Vertical displacement fielddue to pressure point source infla-tion below the surface.

3. Gedankenexperiment & displacement ratios

In Fig. 3b,c we show the effect of asurface load on depth and volumeestimates of a magmatic source bysuperimposing subsidence due to adisk load on deflation of a hypotheti-cal magma reservoir. The inversionof the modulated signal, however, iscarried out for the magma reservoir(sill or Mogi source) only and givesconsiderable misfit.

Fig. 3d shows the ratiosr =∣

horizontalvertical

displacement for the synthetic data(Pinel, 2007). The ratio of thesuperimposed data (purple) is clearlydistinct from those of the forward andinverse models with a steep slope upto the distance where the horizontaldisplacement of the Mogi sourcereaches its maximum.

−0.10

−0.05

0.00

Dis

plac

emen

t (m

)

B) vertical C) horizontal

A) source modelsBest Fit Sill (Vs ~ 2.4*Vm)

Best Fit Mogi (Vm,f ~ 6*Vm)

Mogi (Vm)

Disk Load

−15

−10

−5

0

Dep

th (

km)

−30 −20 −10 0 10 20 30

Distance from source (km)

0.0

0.5

1.0

1.5

|Uh

/ Uv|

D) displacement ratios

Disk, final relaxed

Disk, max. elastic

Mogi+Disk

Best f

it Sill

Bes

t fit

Mog

i

Mog

i

0 5 10 15 20 25 30

Distance from source (km)

FIG. 3: (A) Forward model sources:Mogi, Disk load. Inversion results:Best fit Mogi,Best fit sill (colors of sourcescorrespond to colors in B,C,D).(B, C) vertical and horizontal deformation due toDisk load emplacement, densityρ =

2700kgm−3, radiusr = 1500m, and uniform heighth = 7.5m on a flat surface, deflation of a spherical magma reservoirat depthd = 5kmwith a volume changeV = −0.025km3, superposition of subsidence and deflation. Note similarities invertical and differences in horizontal field. Inversion ofcombined signalresults inMogi source at depthd = 8.8kmwithV =−0.15km3 or asill at depthd = 14.8km, openingo= 3m, length and widthl = w= 4.5kmand volumeV =−0.061km3

(D) Displacement ratios∣

horizontalvertical

∣ corresponding to sources in A and deformation in B,C. Due to the differences inhorizontal displacements at almost similar vertical displacements for surface loading and intenal pressure source, this ratiocan be used to identify deformation signal superposition.

4. Chamber depth issues – conceptual

19˚54'W 19˚48'W 19˚42'W 19˚36'W 19˚30'W 19˚24'W

63˚57'N

64˚00'N

64˚03'N

64˚06'N

MOHN

ISAK

19˚54'W 19˚48'W 19˚42'W 19˚36'W 19˚30'W 19˚24'W

63˚57'N

64˚00'N

64˚03'N

64˚06'N

0 5

km

• consider sites ISAK and MOHN (Fig. 4)after Hekla 2000 eruption(V=0.189 km3 lavaHoskuldsson et al., 2007)).

• note thatr =∣

UhUz

∣= h

d for Mogi source (d is source depth,h is horizontaldistance from source projected on surface);hmohn= 6.2 km,hisak = 17 km

• rmohn= 0.196 (camp. data 2000–2004),r isak= 0.595 (cont. data 2002–2006)

• therefore (if posteruptive deformation was only due to Mogi source):d =1/2∗ (hmohn

rmohn+ hisak

r isak) = 30 km

• 30 km is below brittle–ductile transition, previous estimates cluster aroundd = 10 km

• indicates: other processes than magma deflation might be involed, suggestedmechanism is visco–elastic response to previously erupted lava loads.

FIG. 4: Map showing Hekla volcano, its location in Iceland (inset),two GPS sites MOHN and ISAK, and preliminary outlines of year 2000 lava.

5. Derivation of Crustal Parameters for Hekla

FIG. 5: Mean line of sight (LOS) velocity derived fromscenes captured betweenMay 25, 1997 and October 15,1999. Three obvisous deformation areas:circular upliftaround Hekla,subsidence in its center(note black 1991lava flow outline), and subsidence to the ESE of Hekla, likelyrelated to processes at the Torfajokull glacier (ignored). Dotsmark points over which the LOS velocity was averaged; pro-files shown in Fig. 6.

FIG. 6: Dots show averaged LOS velocity for respectiveprofiles from Fig. 5. Red line is LOS velocity due to a Mogisource fitted to averaged LOS velocities at the “shoulders”of the profiles (depth 11.6 km). Horizontal bars indicate aLOS velocity of 13.5 mm/yr of subsidence surface loading(and other effects?) has to account for.

6. Derivation of Crustal Parameters . . . , Algorithm

• use Young’s modulus derived byGrapenthin et al. (2006): E =40GPa, Poisson’s ratio 0.25

• create profiles of averaged LOS displacement vectors (Fig. 5).

• average a few profile points with significant inflation

• invert for depth (d=11.2 km) and volume of a Mogi source cen-tered on profile intersection

• estimate difference between expected Mogi max and actualprofile min: m= 13.5mm/yr; loading has to account for that

• estimate elastic plate thicknessH: grid search over the fi-nal relaxed responses to 1947–1991 lava loads to fit width ofsubsidence; getH = 3.5km (agrees with values from previousstudies(LaFemina et al., 2005, Pinel et al., 2007)(Fig. 7, left).

• estimate viscosity,η: a grid search over effective relaxationtime tr = [25. . .1000]a in 25a increments and fitm; get tr =100a, corresponds to viscosity ofη = 0.6− 1.2× 1018Pa s(agrees with the estimates of 4−10×1018Pa s byPagli et al.(2007)(Fig. 7, right).

• Remove load contribution from InSAR data if so desired.

FIG. 7: Vertical displacements after 1947–1991 Hekla flows are applied. left Finalrelaxed state. Elastic plate thickness is being varied such that displacement radius fitsInSAR observations.right Displacement rates, effective relaxation is varied until max.displacement rate fits InSAR observations.

7. Conclusions

• surface load signals in volcanic regions affect source modelestimates; up to the point of changing the preferred model

• gradual subsidence may be mistaken as source deflation

– . . . or at least has significant impact on interpretations– horizontal deformation gives clues about signal source(s)– visco-elastic response to (recent) loads must be considered

• signal can be exploited to derive crustal parameters . . .

– GPS, InSAR, and inverse approaches are necessary– we had: Young’s modulus, Poisson’s ratio– we estimated: source depth, elastic plate thickness, viscosity

References: Grapenthin, R., Sigmundsson, F., Geirsson, H.,Arnadottir, T., Pinel, V (2006) Icelandic rhythmics: Annual modulation

of land elevation and plate spreading by snow load,Geophys. Res. Lett., 33, L24305.

Grapenthin, R. (2007), CRUSDE: A plug-in based simulation framework for composable CRUStal DEformation simulations using

Green’s functions,Ms thesis, Humboldt-Universitat zu Berlin, pp. 127.

Hoskuldsson,A., Oskarsson, N., Pedersen, R., Gronvold, K., Vogfjord, K.,Olafsdottir, R. (2007) The millennium eruption of Hekla in

February 2000,Bull. Volc., doi:10.1007/s00445-007-0128-3.

Mogi, K. (1958) Relations between eruptions of various volcanoes andthe deformations of the ground surface around them,Bull.

Earthquake Res. Inst. Univ. Tokyo, 36, 99–134.

Pinel, V., Sigmundsson F., Sturkell, E., Geirsson, H., Einarsson, P., Gudmundsson, M.T., Hognadottir, Th. (2007) Discriminating

volcano deformation due to magma movements and variable surface loads: Application to Katla subglacial volcano, Iceland,Geophys.

J. Int., 169, 325–338.