grl50470-sup-0001-Hawaii_Supp

advertisement
1
Supplementary Materials for
2
3
4
5
Coupling of Hawaiian volcanoes only during overpressure condition
6
7
8
Manoochehr Shirzaei1,3, Thomas R. Walter2 & Roland Bürgmann3
9
10
1
11
Correspondence: shirzaei@asu.edu, Tel: +1 480 727 4193, fax: +1 480 965 8102
12
2
13
Telegrafenberg, D – 14473 Potsdam, Germany
14
3
15
USA
School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287-6004,
Section 2.1, Dept. Physics of the Earth, GFZ German Research Center for Geosciences,
Department of Earth and Planetary Science, University of California, Berkeley, California,
16
17
18
1
19
GPS data analysis
20
In this study GPS data are only used to validate the InSAR results. The network is operated
21
by Hawaiian Volcano Observatory and University of Hawaii and the data is provided by the
22
UNAVCO Facility with support from the National Science Foundation (NSF) and National
23
Aeronautics and Space Administration (NASA) under NSF Cooperative Agreement No.
24
EAR-0735156. The locations of the GPS stations that are continuously observed during the
25
period of 2003- 2008 are shown in Figure (S1). We use the Bernese 5 software [Dach et al.,
26
2007] to solve the daily coordinate of the GPS stations in ITRF2005 reference frame. The
27
precise orbit data are obtained from IGS. To generate a time series of the displacement field
28
for each GPS station we use a Kalman Filter [Hofmann-Wellenhof et al., 2000]. In Fig. S3
29
each GPS displacement sample is the average coordinate of the station within 3 days that
30
temporally spans the InSAR observation point and was projected into the satellite LOS for
31
comparison with the InSAR time series.
32
2
33
References
34
35
36
37
38
39
40
41
42
43
44
45
46
47
Dach, R., U. Hugentobler, P. Fridez, and M. Meindl (2007), Bernese GPS Software Version
5.0, 640 pp., Astronomical Institute, University of Bern, Bern.
Hofmann-Wellenhof, B., H. Lichtenegger, and J. Collins (2000), Global Positioning
System, Theory and Practice, 5th Edition, 390 pp., Springer, New York.
McTigue, D. F. (1987), Elastic stress and deformation near a finite spherical magma body:
resolution of the point source paradox, J. Geophys. Res., 92, 12931–12940.
Okada, Y. (1985), Surface deformation due to shear and tensile faults in a half-space, Bull.
Seism. Soc. Am., 75, 1135-1154.
Owen, S., P. Segall, M. Lisowski, A. Miklius, R. Denlinger, and M. Sako (2000), Rapid
deformation of Kilauea Volcano: Global Positioning System measurements between 1990
and 1996, J. Geophys. Res., 105(B8), 18,983–918,998.
3
48
Table S1: The initial bounds for dislocation source parameters
49
Parameter
Lower bound
Upper bound
Coordinates (km)*
Rift trace – 5
Rift trace + 5
Bottom Depth (km)
6
14
Width (km)
6
14
Dip (deg)
70
110
Depth (km)
2
7
Radius (km)
0.1
Depth lower bound
Horizontal location (km)
Location of maximum deformation - 5
6 Rift dikes
2 Magma
Location of maximum deformation
chambers
+5
Coordinates (km)
Rift trace – 10
Rift trace + 10
1 Basal
Depth (km)
6
14
decollement
Width (km)
10
30
Dip (deg)
-10
10
50
51
52
4
53
54
Fig. S1: Study area and data sets. The location of the Big Island with respect to other
55
Hawaiian Islands is shown in the inset and the boundary of various volcanic systems are
56
outlined. Dashed lines indicate the extent of rift zones of the volcanoes. Recent eruptive
57
activity of Mauna Loa and Kilauea occurred both in the summit caldera region and along
58
the rift zones. The trace of the SAR scene and the location of the stations of the GPS
59
network are shown.
60
5
61
62
Fig. S2: InSAR deformation time series. Spatiotemporal evolution of the deformation field
63
over Hawaii Island obtained by InSAR time series. Each image presents the cumulative
64
displacement since the beginning of the time series. For better illumination the color-scale
65
is saturated beyond -10 cm (i.e. away from satellite) and +10 cm (i.e. toward the satellite).
66
6
67
68
69
Fig. S3: a-i) InSAR deformation validation. Comparison between 3D cGPS time series
70
projected into the line of sight (red dots) and InSAR time series (black dots). j)
71
Quantitative evaluation of the difference between InSAR and cGPS data sets for each
72
station in terms of root mean square error (RMSE).
73
74
7
75
76
77
Fig. S4: Initial configuration of the deformation sources at Hawaii used for inverse
78
modeling. The model comprises an analytical solution for uniform opening (rift) and slip
79
(decollement) on rectangular dislocation planes[Okada, 1985] and volume change of finite
80
spherical sources[Mctigue, 1987] in an elastic half-space medium.
81
8
82
83
Fig. S5: The time series of the deformation source strengths for volcanic sources (a) and
84
tectonic decollement slip (b). Shown are the volumetric changes of the rift zones, magma
85
chamber and basal decollement. The obtained rate for decollement slip compares quite well
86
with what was found in earlier GPS studies of south flank deformation [Owen et al., 2000].
87
9
88
89
Fig. S6: a) Misfit (observed - modeled) time series and the associated RMSE. b) The
90
spatiotemporal distribution of the misfit for the whole InSAR time series. The areas of the
91
data points, which are not used in the modeling, are masked out. The large misfit in the
92
2007/7/30 image might be due to unmodeled displacement at the eastern rift caused by
93
intrusion during the 2007 Fathers Day episode but also includes remnant artifacts to the
94
north of the rift zone.
10
95
96
Fig. S7: Background seismicity for the period 2003-2008. a) 3D distribution of seismicity
97
for Island of Hawaii. Events are color coded by event year. b) Temporal and spatial
98
distribution of seismicity as a function of distance from Mauna Loa. c) Cumulative number
99
of deep earthquakes (> 20 km) in a circle of 10x10km area around the central caldera at
100
Mauna
Loa
and
Kilauea.
Seismicity
101
(http://earthquake.usgs.gov/monitoring/anss/).
102
103
104
11
data
courtesy
ANSS
Download